JP7423566B2 - Secondary battery management method, secondary battery management device, secondary battery management system, battery-equipped equipment, and secondary battery management program - Google Patents

Description

Embodiments of the present invention relate to a secondary battery management method, a secondary battery management device, a secondary battery management system, a battery-equipped device, and a secondary battery management program.

In recent years, secondary batteries such as lithium ion secondary batteries have been installed in battery-equipped devices such as large power storage devices for power systems, smartphones, vehicles, stationary power supplies, robots, and drones. When a secondary battery as described above is used for a long period of time, its internal state changes and deteriorates from the time it is first used. Therefore, in battery-equipped devices, the deterioration state of the secondary battery is periodically diagnosed by periodically estimating the internal state of the installed battery. In diagnosing the deterioration state of a secondary battery, for example, the secondary battery is charged or discharged under predetermined conditions, and at least the current and voltage of the secondary battery are measured during charging or discharging under the predetermined conditions. Then, perform fitting calculations, etc. using at least the aforementioned measurement results of the current and voltage of the secondary battery during charging or discharging, and data indicating the relationship between the internal state of the secondary battery and the current and voltage of the secondary battery. The internal state of the secondary battery is estimated. Then, the deterioration state of the secondary battery is determined based on the estimated internal state.

In the above-mentioned secondary battery, deterioration progresses and the internal state changes even during periodic diagnosis of the deterioration state of the secondary battery. For this reason, it may be necessary to update the internal state of the secondary battery before the next diagnosis that is periodically performed regarding the deterioration state of the secondary battery. Therefore, during periodic diagnosis of the deterioration state of the secondary battery, it is required to appropriately determine whether or not the internal state of the secondary battery needs to be updated. That is, it is required to appropriately determine whether or not to update the internal state of the secondary battery during periodic estimation of the internal state of the secondary battery.

Japanese Patent Application Publication No. 2020-107774 Japanese Patent Application Publication No. 2018-147748 International Publication No. 2017/143021 Japanese Patent Application Publication No. 2018-147827 JP2012-251806A

The problem to be solved by the present invention is to provide a secondary battery management method that appropriately determines whether or not to update the internal state of the secondary battery during diagnosis of the deterioration state of the secondary battery; The purpose of the present invention is to provide a management device, a secondary battery management system, a battery-equipped device, and a secondary battery management program.

In embodiments, a method for managing secondary batteries is provided. The management method requires measurement results of the voltage and current of the secondary battery when charging or discharging the secondary battery under predetermined conditions, and data showing the relationship between the internal state of the secondary battery and the voltage and current of the secondary battery. The internal state of the secondary battery is estimated by performing a fitting calculation using at least . In the management method, regarding the voltage of the secondary battery during charging or discharging of the secondary battery, predicted data based on the estimated internal state of the secondary battery and conditions during charging or discharging of the secondary battery and measured measurement data are combined. compare. In the management method, it is determined whether or not to update the estimated internal state of the secondary battery based on a comparison result between predicted data and measured data.

FIG. 1 is a schematic diagram showing an example of a management system according to an embodiment. FIG. 2 is a schematic diagram illustrating internal state parameters indicating the internal state of the secondary battery. FIG. 3 is a schematic diagram illustrating an example of processing by the data comparison unit of the management device according to the embodiment. FIG. 4 is a flowchart illustrating an example of a process for diagnosing the deterioration state of a secondary battery, which is performed by the management device according to the embodiment. FIG. 5 is a flowchart illustrating an example of processing related to updating the internal state of the secondary battery, which is performed by the management device according to the embodiment. FIG. 6 is a flowchart illustrating an example of a process for predicting the end time of charging or discharging a secondary battery that is performed in real time by the management device according to the embodiment. FIG. 7 is a flowchart illustrating an example of a process related to updating the internal state of a secondary battery, which is performed by a management device according to a modification.

Embodiments will be described below with reference to the drawings.

FIG. 1 is a schematic diagram showing an example of a management system according to an embodiment. As shown in FIG. 1, the management system 1 includes a battery-equipped device 2 and a management device 3. The battery-equipped device 2 is equipped with a secondary battery 5, a measurement circuit 6, and a battery control section 7. Examples of battery-equipped devices 2 include large power storage devices for power systems, smartphones, vehicles, stationary power supplies, robots, and drones, and examples of vehicles that serve as battery-equipped devices 2 include railway vehicles, electric buses, and electric vehicles. Examples include automobiles, plug-in hybrid vehicles, and electric motorcycles.

The secondary battery 5 is, for example, a lithium ion secondary battery. The secondary battery 5 may be formed from a single cell (single cell), or may be a battery module or a cell block formed by electrically connecting a plurality of single cells. When the secondary battery 5 is formed from a plurality of single cells, the plurality of single cells may be electrically connected in series, or the plurality of single cells may be electrically connected in parallel. Good too. Further, in the secondary battery 5, both a series connection structure in which a plurality of single cells are connected in series and a parallel connection structure in which a plurality of single cells are connected in parallel may be formed. Further, the secondary battery 5 may be any one of a battery string, a battery array, and a storage battery in which a plurality of battery modules are electrically connected.

The measurement circuit 6 detects and measures parameters related to the secondary battery 5 while the secondary battery 5 is being charged or discharged. In the measurement circuit 6, parameters are periodically measured at a predetermined timing, for example, during one charging or discharging of the secondary battery 5. In this case, the measurement circuit 6 measures parameters related to the secondary battery 5 at each of a plurality of measurement points during one charging or discharging of the secondary battery 5, and measures parameters related to the secondary battery 5 at each of a plurality of measurement points. , measure multiple times. Parameters related to the secondary battery 5 include the current flowing through the secondary battery 5, the voltage of the secondary battery 5, the temperature of the secondary battery 5, and the like. Therefore, the measurement circuit 6 includes an ammeter that measures current, a voltmeter that measures voltage, a temperature sensor that measures temperature, and the like.

The battery control unit 7 constitutes a processing device (computer) that controls the operation of the secondary battery 5 by controlling charging and discharging of the secondary battery 5, and includes a processor and a storage medium. The processor includes any one of a CPU (Central Processing Unit), an ASIC (Application Specific Integrated Circuit), a microcomputer, an FPGA (Field Programmable Gate Array), a DSP (Digital Signal Processor), and the like. The storage medium may include an auxiliary storage device in addition to a main storage device such as a memory. Examples of storage media include magnetic disks, optical disks (CD-ROM, CD-R, DVD, etc.), magneto-optical disks (MO, etc.), semiconductor memories, and the like. In the battery control unit 7, the number of processors and storage media may be one or more. In the battery control unit 7, a processor performs processing by executing a program or the like stored in a storage medium or the like. Further, in the battery control unit 7, the program executed by the processor may be stored in a computer (server) connected via a network such as the Internet, or a server in a cloud environment. In this case, the processor downloads the program via the network.

The management device 3 manages the secondary battery 5 including diagnosis of the secondary battery 5 based on information regarding the secondary battery 5 . Therefore, the secondary battery 5 is subject to management by the management device 3. In the example of FIG. 1 , the management device 3 is provided outside the battery-equipped device 2 . The management device 3 includes a transmitting/receiving section 11 , an internal state estimating section 12 , a predicted data calculating section 13 , a data comparing section 15 , a determining section 16 , a time predicting section 17 , and a data storage section 18 . The management device 3 is, for example, a server that can communicate with the battery control unit 7 via a network. In this case, the management device 3 includes a processor and a storage medium, similar to the battery control unit 7. The transmitting/receiving unit 11, internal state estimating unit 12, predicted data calculating unit 13, data comparing unit 15, determining unit 16, and time predicting unit 17 perform part of the processing performed by the processor of the management device 3, etc. A storage medium of the management device 3 functions as a data storage unit 18.

Note that, in one example, the management device 3 may be a cloud server configured in a cloud environment. The infrastructure of the cloud environment is composed of virtual processors such as virtual CPUs and cloud memory. Therefore, when the management device 3 is a cloud server, part of the processing performed by the virtual processor is performed by the transmitter/receiver 11, the internal state estimator 12, the predicted data calculator 13, the data comparator 15, the determiner 16, and the timer. The prediction unit 17 performs the calculation. The cloud memory then functions as the data storage unit 18.

Furthermore, the data storage section 18 may be provided in a computer separate from the battery control section 7 and the management device 3. In this case, the management device 3 is connected via a network to a computer provided with a data storage section 18 and the like. Further, the management device 3 may be installed in the battery-equipped device 2. In this case, the management device 3 is composed of a processing device and the like installed in the battery-equipped device 2. Further, when the management device 3 is installed in the battery-equipped device 2, one processing device or the like installed in the battery-equipped device 2 performs the processing of the management device 3, which will be described later, and also charges and discharges the secondary battery 5. The battery control unit 7 may perform processing such as control. The processing of the management device 3 will be explained below.

The processor or the like of the management device 3 periodically diagnoses the deterioration state of the target secondary battery 5, including estimation of the internal state. Periodic diagnosis of the deterioration state of the secondary battery 5 is performed, for example, every year. The transmitter/receiver 11 communicates with processing devices other than the management device 3 via the network. In diagnosing the deterioration state of the secondary battery 5, the transmitting/receiving unit 11 of the management device 3 transmits a control command to the battery control unit 7, and the battery control unit 7 sets a predetermined condition based on the transmitted control command. The secondary battery 5 is charged or discharged.

Here, data indicating predetermined conditions for charging or discharging the secondary battery 5 performed in diagnosing the deterioration state of the secondary battery 5 is stored in, for example, the data storage unit 18 or the like. The above-mentioned predetermined conditions include, for example, conditions regarding the SOC (state of charge) at the start of charging or discharging, conditions regarding the SOC range of the secondary battery 5 during charging or discharging, and conditions regarding the SOC range of the secondary battery 5 during charging or discharging. Conditions regarding the flowing current (C rate of the secondary battery 5), conditions regarding the temperature of the secondary battery 5 during charging or discharging, conditions for terminating charging or discharging, etc. are included. Under predetermined conditions, the current value of the secondary battery 5 is set to a relatively small value. Therefore, in diagnosing the deterioration state of the secondary battery 5, the secondary battery 5 is charged or discharged at a relatively low rate. Furthermore, under certain conditions, the SOC range is set relatively wide. Therefore, in diagnosing the deterioration state of the secondary battery 5, the secondary battery 5 is charged or discharged within a relatively wide SOC range.

In diagnosing the deterioration state of the secondary battery 5, the measurement circuit 6 measures the above-mentioned parameters related to the secondary battery 5 while the secondary battery 5 is being charged or discharged under the above-described predetermined conditions. The transmitting/receiving unit 11 of the management device 3 receives diagnostic measurement data indicating the measurement results of the above-mentioned parameters related to the secondary battery 5 by the measuring circuit 6 from the battery control unit 7 and the like. The diagnostic measurement data is generated by the battery control unit 7 based on, for example, the measurement results of the measurement circuit 6.

While the secondary battery 5 is being charged or discharged under the predetermined conditions described above, the measurement circuit 6 measures parameters related to the secondary battery 5 at each of a plurality of measurement time points. Therefore, the diagnostic measurement data (data indicating measurement results) received by the transmitting/receiving unit 11 includes measured values of parameters related to the secondary battery 5 at each of a plurality of measurement points (multiple measurements). Furthermore, the diagnostic measurement data includes time changes (time history) of parameters related to the secondary battery 5 during charging or discharging of the secondary battery 5 under the above-described predetermined conditions. Therefore, the measurement data at the time of diagnosis includes time changes in the current of the secondary battery 5 (time history), time changes in the voltage of the secondary battery 5 (time history), and time changes in the temperature of the secondary battery 5 (time history). history), etc.

Further, either the battery control unit 7 or the processor of the management device 3 determines which of the charge amount and SOC of the secondary battery 5 is based on the measurement results of parameters related to the secondary battery 5 in the measurement circuit 6. Regarding this, the time change (time history) in charging or discharging the secondary battery 5 under the above-mentioned predetermined conditions may be estimated. The measurement data at the time of diagnosis (data indicating measurement results) includes data indicating the relationship between the above-mentioned parameters related to the measured secondary battery 5 with respect to either the estimated charge amount or SOC of the secondary battery 5. may be included. In this case, for example, data indicating the relationship between the measured voltage of the secondary battery 5 and either the estimated charge amount or SOC of the secondary battery 5 is included in the measurement data at the time of diagnosis. The transmitter/receiver 11 writes the above-described diagnostic measurement data into the data storage unit 18 .

Here, the amount of charge of the secondary battery 5 depends on the amount of charge (SOC) of the secondary battery 5 at the time of starting charging or starting discharging under the above-mentioned predetermined conditions, and the time change in the current of the secondary battery 5. It can be calculated based on In this case, the amount of charge of the secondary battery 5 is calculated by the current integration method. Further, the amount of charge of the secondary battery 5 can also be calculated by a calculation method using the relationship between the voltage between the terminals of the secondary battery 5 and the amount of charge, an estimation method using a Kalman filter, and the like.

Further, the SOC of the secondary battery 5 is defined based on the voltage of the secondary battery 5, for example. Regarding the voltage of the secondary battery 5, a lower limit voltage Vmin and an upper limit voltage Vmax are defined. In the secondary battery 5, for example, a state where the open circuit voltage (OCV) or the voltage during discharge under certain specified conditions becomes the lower limit voltage Vmin is defined as a state where the SOC is 0%, and the open circuit voltage Alternatively, a state in which the voltage during charging under certain specified conditions reaches the upper limit voltage Vmax is defined as a state in which the SOC is 100%. In addition, in the secondary battery 5, the battery capacity is the discharge capacity from the SOC 100% state to the SOC 0% state, or the charging capacity from the SOC 0% state to the SOC 100% state. Become. In the secondary battery 5, the ratio of the remaining charge amount to the battery capacity until the SOC becomes 0% is defined as the SOC. Therefore, the SOC of the secondary battery 5 can be calculated based on the amount of charge of the secondary battery 5 and the like.

In diagnosing the deterioration state of the secondary battery 5, the internal state estimating unit 12 acquires the above-mentioned diagnostic measurement data and estimates the internal state of the secondary battery 5 based on the diagnostic measurement data. In this embodiment, the internal state estimation unit 12 estimates an internal state parameter indicating the internal state of the secondary battery 5. In one example, the internal state estimating unit 12 analyzes at least data indicating temporal changes in the current and voltage of the secondary battery 5 during charging or discharging under the aforementioned predetermined conditions. In this case, a charging curve analysis or a discharging curve analysis of the secondary battery 5 is performed by the internal state estimation unit 12. Furthermore, the internal state estimating unit 12 may analyze data indicating temporal changes in the temperature of the secondary battery 5 in addition to data indicating temporal changes in the current and voltage of the secondary battery 5 .

FIG. 2 is a schematic diagram illustrating internal state parameters indicating the internal state of the battery. In FIG. 2, the horizontal axis shows the charge amount Q, and the vertical axis shows the potential E. As shown in FIG. 2, in the secondary battery 5, a lower limit potential Epmin and an upper limit potential Epmax are defined for the positive electrode potential, and the positive electrode potential increases as the amount of charge of the positive electrode increases. Further, in the positive electrode, the amount of charge when the positive electrode potential becomes the lower limit potential Epmin is the initial charge amount Qpmin of the positive electrode, and the amount of charge when the positive electrode potential becomes the upper limit potential Epmax is the upper limit charge amount Qpmax of the positive electrode. Then, the charging amount of the positive electrode from the initial charging amount Qpmin to the upper limit charging amount Qpmax becomes the positive electrode capacity Mp of the secondary battery 5, which corresponds to the chargeable and dischargeable amount of the positive electrode of the secondary battery 5.

In the secondary battery 5, a lower limit potential Enmin and an upper limit potential Enmax are defined for the negative electrode potential, and the negative electrode potential becomes lower as the amount of charge of the negative electrode increases. Further, in the negative electrode, the amount of charge when the negative electrode potential becomes the upper limit potential Enmax is the initial charge amount Qnmin of the negative electrode, and the amount of charge when the negative electrode potential becomes the lower limit potential Enmin becomes the upper limit charge amount Qnmax of the negative electrode. Then, the amount of charge of the negative electrode from the initial charge amount Qnmin to the upper limit charge amount Qnmax becomes the negative electrode capacity Mn of the secondary battery 5, which corresponds to the chargeable and dischargeable amount of the negative electrode of the secondary battery 5.

The internal state parameters of the secondary battery 5 include the above-mentioned positive electrode capacity Mp, negative electrode capacity Mn, positive electrode initial charge amount Qpmin, and negative electrode initial charge amount Qnmin. Further, the internal state parameters of the secondary battery 5 include a positive electrode mass, which is a parameter corresponding to the positive electrode capacity Mp, and a negative electrode mass, which is a parameter corresponding to the negative electrode capacity Mn. The mass of the positive electrode can be calculated based on the capacity of the positive electrode and the type of material forming the positive electrode. Similarly, the negative electrode mass can be calculated based on the negative electrode capacity and the type of material forming the negative electrode. Further, the internal state parameters of the secondary battery 5 include a positive electrode capacity retention rate, a negative electrode capacity retention rate, and the like. Here, the positive electrode capacity retention rate is the ratio of the estimated positive electrode capacity to the positive electrode capacity at the start of use, and the negative electrode capacity retention rate is the ratio of the estimated negative electrode capacity to the negative electrode capacity at the start of use.

Further, the internal state parameters of the secondary battery 5 include a shift of operation window (SOW), which is a difference between the initial charge amount Qpmin of the positive electrode and the initial charge amount Qnmin of the negative electrode. Further, the internal state parameters of the secondary battery 5 include parameters related to the internal resistance of the secondary battery 5. Note that in FIG. 2, the battery capacity Mb, which is one of the battery characteristics of the secondary battery 5, is also shown. As described above, the battery capacity Mb corresponds to the amount of charge until the voltage (difference between the positive electrode potential and the negative electrode potential) of the secondary battery 5 changes from the lower limit voltage Vmin to the upper limit voltage Vmax.

In this embodiment, the data storage unit 18 stores a battery model of the secondary battery 5 and data related to the battery model. The battery model includes data indicating the relationship between the internal state of the secondary battery 5 and at least one of the voltage and current of the secondary battery 5. For example, the battery model includes data indicating the relationship between the internal state of the secondary battery 5 and at least one of the voltage and current of the secondary battery 5. Contains a calculation formula for calculating at least one of them. Therefore, the battery model includes data indicating the relationship between internal state parameters such as the positive electrode capacity and the negative electrode capacity with respect to at least one of the current and voltage of the secondary battery 5. Note that the relationship between the internal state of the secondary battery 5 and each of the current and voltage changes depending on the temperature of the secondary battery 5 and the like. Therefore, in the battery model of the secondary battery 5, the relationship between the internal state and at least one of the current and voltage of the secondary battery 5 may be set for each of a plurality of temperatures that are different from each other.

In the above-described charging curve analysis or discharging curve analysis of the secondary battery 5, the internal state estimating unit 12 uses the measurement results of the voltage and current of the secondary battery 5 included in the measurement data at the time of diagnosis, and the measurement results of the secondary battery 5. A fitting calculation (regression calculation) is performed using at least data showing the relationship between the internal state of the secondary battery 5 and the voltage and current. At this time, in a calculation formula for calculating at least the voltage and current of the secondary battery 5 from the internal state of the secondary battery 5, a fitting calculation is performed using one or more of the internal state parameters as variables. Then, the internal state estimating unit 12 estimates the internal state of the secondary battery 5 by calculating one or more internal state parameters serving as variables through fitting calculation. The internal state estimation unit 12 writes the estimation result of the internal state of the secondary battery 5, including the estimated value of the internal state parameter of the secondary battery 5, into the data storage unit 18. In addition, in the fitting calculation to calculate the internal state parameters, in addition to the measurement results of the voltage and current of the secondary battery 5 and the data showing the relationship between the internal state of the secondary battery 5 and the voltage and current of the secondary battery 5, Therefore, measurement results regarding the temperature of the secondary battery 5 and data indicating the relationship between the internal state of the secondary battery 5 and the temperature of the secondary battery 5 may be used.

In one example, the calculation formula (1) is included in the battery model as data indicating the relationship between the internal state of the secondary battery 5 and the voltage V(t) of the secondary battery 5 at a certain time t. Then, the internal state estimating unit 12 performs a fitting calculation using the measurement result of the voltage V(t) of the secondary battery 5 included in the measurement data at the time of diagnosis and the calculation formula of equation (1) included in the battery model. By doing so, the internal state of the secondary battery 5 is estimated. In the fitting calculation using equation (1), for example, the positive electrode capacity Mp, the negative electrode capacity Mn, the initial charge amount Qpmin of the positive electrode, the initial charge amount Qnmin of the negative electrode, and the parameter R related to the internal resistance are set as internal state parameters, Fitting calculations are performed using these internal state parameters as variables.

V(t)=Ep(Mp,Qpmin)−En(Mn,Qnmin)+R×I (1)

In formula (1), I indicates the current of the secondary battery 5, and as the current I, a measured value included in the measurement data at the time of diagnosis is used. In addition, in equation (1), Ep (Mp, Qpmin) represents a function for calculating the open circuit potential (OCP) of the positive electrode using at least the positive electrode capacity Mp and the initial charge amount Qpmin of the positive electrode as variables, and En( Mn, Qnmin) represents a function for calculating the open circuit potential of the negative electrode using at least the negative electrode capacity Mn and the initial charge amount Qnmin of the negative electrode as variables.

Note that a method of estimating the internal state of a secondary battery by charging curve analysis is shown in Patent Document 4 (Japanese Patent Application Laid-Open No. 2018-147827) and Patent Document 5 (Japanese Patent Application Laid-Open No. 2012-251806). In each of Patent Document 4 and Patent Document 5, fitting is performed using at least measurement results regarding the current and voltage of the secondary battery, and data indicating the relationship between the internal state of the secondary battery and the voltage and current of the secondary battery. By performing the calculation, the internal state of the secondary battery is estimated. In the embodiment, the internal state of the secondary battery 5 may be estimated in the same manner as in either Patent Document 4 or Patent Document 5.

In estimating the internal state of the secondary battery 5, the internal state estimating unit 12 reads a voltage model including the calculation formula of Equation (1), etc., and data related to the voltage model from the data storage unit 18. Further, the internal state estimating unit 12 can store in the data storage unit 18, among the provisional estimated values and final estimated values of the internal state parameters, estimated values that will be necessary in subsequent processing.

Further, the internal state estimation unit 12 may estimate the battery characteristics of the secondary battery 5 based on the estimated internal state of the secondary battery 5. The battery characteristics of the secondary battery 5 include the open circuit voltage and OCV curve of the secondary battery 5, in addition to the battery capacity Mb described above. Here, the OCV curve is a function showing the relationship between parameters other than OCV and OCV, for example, a function showing the relationship between OCV and SOC or charge amount. Further, the internal resistance of the secondary battery 5 indicates the internal state of the secondary battery 5 as described above, and also indicates the battery characteristics of the secondary battery 5. Patent Document 4 discloses a method of estimating battery characteristics of the secondary battery 5 based on the internal state of the secondary battery 5. In the embodiment, the battery characteristics of the secondary battery 5 may be estimated in the same manner as in Patent Document 4.

Further, in diagnosing the deterioration state of the secondary battery 5, the determination unit 16 obtains the estimation result of the internal state of the secondary battery 5. Then, the determination unit 16 determines the deterioration state of the secondary battery 5 based on the estimation result of the internal state. In one example, the deterioration state of the secondary battery 5 is determined using the positive electrode capacity and the negative electrode capacity, which are internal state parameters. In this case, for example, the smaller the estimated positive electrode capacity of the secondary battery 5, the greater the degree of deterioration of the secondary battery 5. The degree of deterioration of No. 5 is determined to be large. The determination unit 16 writes the determination result regarding the deterioration state of the secondary battery 5 into the data storage unit 18.

In addition, the processor of the management device 3 predicts the lifespan of the secondary battery 5, and performs Information regarding maintenance of the next battery 5 may also be generated. In this case, the information regarding the maintenance of the secondary battery 5 includes information that recommends replacing the secondary battery 5 with another battery installed in the battery-equipped device 2, and information that recommends replacing the secondary battery 5 with a new battery. Contains information that is recommended to be exchanged. Note that the diagnosis result of the deterioration state of the secondary battery 5 including the estimation result of the internal state of the secondary battery 5, the prediction result of the lifespan of the secondary battery 5, the information regarding the maintenance of the secondary battery 5, etc. are available on the user interface. The user of the battery-equipped device 2 or the like may be notified via the .

The processor of the management device 3 determines whether or not to update the internal state of the secondary battery 5 during the above-described periodic diagnosis regarding the deterioration state of the secondary battery 5. A determination is made regarding whether to update the state. Thereby, it is determined whether or not it is necessary to update the internal state of the secondary battery 5 before the next periodic diagnosis. Note that while the secondary battery 5 is in operation during the diagnosis of the deterioration state, the secondary battery 5 is charged or discharged under conditions other than the above-mentioned predetermined conditions. Therefore, while the secondary battery 5 is being operated during the diagnosis of the deterioration state, the secondary battery 5 may be charged or discharged under various conditions. For example, during diagnosis of a deterioration state, the secondary battery 5 may be rapidly charged or discharged with a large current (at a high rate), the secondary battery 5 may be charged or discharged in a high-temperature environment or a low-temperature environment, or the secondary battery 5 may be charged or discharged in a narrow The secondary battery 5 is charged or discharged within the SOC range.

When determining whether to update the internal state of the secondary battery 5, the measurement circuit 6 measures the above-mentioned parameters related to the secondary battery 5 while the secondary battery 5 is being charged or discharged. Then, the transmitting/receiving unit 11 of the management device 3 receives measurement data indicating the measurement results of parameters related to the secondary battery 5 by the measurement circuit 6 from the battery control unit 7 and the like. In determining whether or not to update the internal state of the secondary battery 5, the measurement circuit 6 measures parameters related to the secondary battery 5 at each of a plurality of measurement points in one charge or discharge of the secondary battery 5. Measure. Therefore, the measurement data received by the transmitting/receiving unit 11 includes measured values of parameters related to the secondary battery 5 at each of a plurality of measurement points (multiple measurements).

Further, the measurement data includes time changes (time history) of parameters related to the secondary battery 5 during charging or discharging of the secondary battery 5, similarly to the measurement data at the time of diagnosis. Therefore, the measurement data includes time changes in the current of the secondary battery 5 (time history), time changes in the voltage of the secondary battery 5 (time history), and time changes in the temperature of the secondary battery 5 (time history). etc. are included. In addition, the measurement data includes data indicating the relationship between the above-mentioned parameters related to the measured secondary battery 5 with respect to either the estimated charge amount or SOC of the secondary battery 5, similar to the measurement data at the time of diagnosis. May be included. The transmitting/receiving section 11 writes the above-mentioned measurement data into the data storage section 18.

In determining the update of the internal state of the secondary battery 5, the predicted data calculation unit 13 acquires the above-mentioned measurement data. Then, the prediction data calculation unit 13 calculates the performance of the secondary battery 5 during the measurement period of the measurement data based on the measurement data and information input by the user of the battery-equipped device 2 via the user interface or the like. Calculate and obtain conditions for charging or discharging. Conditions for charging or discharging the secondary battery 5 during the measurement period of the measurement data include conditions regarding the SOC at the time of starting charging or starting discharging, and conditions for charging or discharging the secondary battery 5 during charging or discharging, as well as the predetermined conditions described above. Conditions regarding the SOC range, conditions regarding the current flowing through the secondary battery 5 during charging or discharging (C rate of the secondary battery 5), conditions regarding the temperature of the secondary battery 5 during charging or discharging, and conditions for terminating charging or discharging. etc. are included. The predicted data calculation unit 13 also acquires the estimation result of the internal state of the secondary battery 5 by the internal state estimation unit 12 in the previous (latest) diagnosis regarding the deterioration state.

The predicted data calculation unit 13 calculates the predicted data based on the internal state of the secondary battery 5 estimated in the previous diagnosis, the charging or discharging conditions of the secondary battery 5 during the measurement period, and the battery model of the secondary battery 5 described above. Then, predicted data regarding the voltage of the secondary battery 5 is calculated. The prediction data shows a prediction result regarding the voltage of the secondary battery 5 when the secondary battery 5 is charged or discharged under the same conditions as the measurement period. The predicted value of the voltage of the secondary battery 5 based on the predicted data is a value corresponding to the battery model and the estimation result of the internal state. In one example, the predicted data is a time change (time history) of the voltage of the secondary battery 5 when the secondary battery 5 is charged or discharged under the same conditions as the measurement period. The predicted data calculation section 13 writes the above-mentioned calculated predicted data into the data storage section 18.

The predictive data calculation unit 13 applies the internal state of the secondary battery 5 estimated in the previous diagnosis and the conditions for charging or discharging the secondary battery 5 during the measurement period to the battery model of the secondary battery 5. The predicted data is calculated by At this time, in the data indicating the relationship between the internal state of the secondary battery 5 and the voltage V(t) of the secondary battery 5 at time t, by substituting the estimated value of the internal state parameter which is the estimation result of the internal state, etc. , the calculation is performed. In one example, predicted data is calculated using the above-described calculation formula (1). In this case, by substituting the estimated values of the positive electrode capacity Mp, negative electrode capacity Mn, positive electrode initial charge amount Qpmin, negative electrode initial charge amount Qnmin, and parameter R related to internal resistance from the previous diagnosis in equation (1), , a predicted value of voltage V(t) is calculated.

Furthermore, when calculating predicted data using the calculation formula (1), a value (current value) corresponding to the charging or discharging conditions of the secondary battery 5 during the measurement period is substituted as the current I. Ru. In one example, in a battery model or the like, the relationship between the internal state and the voltage of the secondary battery 5 is set for each of a plurality of temperatures that are different from each other. Then, a temperature corresponding to the conditions for charging or discharging the secondary battery 5 during the measurement period is selected from among the plurality of temperatures at which the relationship between the internal state and the voltage of the secondary battery 5 is set. Then, the voltage of the secondary battery 5 is predicted based on the relationship between the internal state and the voltage of the secondary battery 5 at the selected temperature.

The data comparison unit 15 acquires the measurement data and prediction data described above. Then, the data comparison unit 15 compares the prediction result using the prediction data and the measurement result using the measurement data regarding the voltage of the secondary battery 5 during charging or discharging of the secondary battery 5 during the above-mentioned measurement period. At this time, it is determined whether the deviation of the voltage in the measured data with respect to the voltage in the predicted data is within an allowable range. Information regarding the allowable range of deviation is stored in the data storage unit 18 or the like. Further, the allowable range of deviation is set in consideration of errors in measurement of the current, voltage, etc. of the secondary battery 5 by the measurement circuit 6, errors in the above-mentioned battery model for the secondary battery 5, and the like. The data comparison unit 15 writes a comparison result regarding the voltage of the secondary battery 5 between the measured data and the predicted data into the data storage unit 18 .

FIG. 3 is a schematic diagram illustrating an example of processing by the data comparison unit of the management device according to the embodiment. In FIG. 3, the horizontal axis indicates the time t during the above-mentioned measurement period, and the vertical axis indicates the voltage V of the secondary battery 5. Further, in FIG. 3, regarding the temporal change in the voltage V during the measurement period, a solid line indicates a measurement result using measurement data, and a broken line indicates a prediction result using prediction data.

In one example, if the deviation of the voltage of the measured data with respect to the voltage of the predicted data at any of the plurality of measurement points is equal to or less than the threshold value ΔVth, it is determined that the deviation of the measured data with respect to the predicted data is within an allowable range. That is, if the absolute value of the difference between the voltage in the predicted data and the voltage in the measured data is equal to or less than the threshold value ΔVth at any of the plurality of measurement points, the data comparison unit 15 determines that the deviation of the measured data with respect to the predicted data is within the allowable range. It is determined that On the other hand, if the deviation of the voltage of the measured data with respect to the voltage of the predicted data at one or more of the plurality of measurement time points is larger than the threshold value ΔVth, it is determined that the deviation of the measured data with respect to the predicted data exceeds the permissible range.

In FIG. 3, a voltage trajectory α1 is shown in which the temporal change in voltage in the predicted data is shifted by a threshold value ΔVth toward the higher voltage side, and a voltage trajectory α2 is shown in which the temporal change in voltage in the predicted data is shifted by a threshold value ΔVth toward the lower voltage side. . In the example of FIG. 3, the voltage in the measurement data falls within the range between the voltage traces α1 and α2 at any of the plurality of measurement points. Therefore, in the example of FIG. 3, regarding the voltage of the secondary battery 5 during charging or discharging of the secondary battery 5 during the measurement period, the deviation of the measurement result of the measurement data from the prediction result of the prediction data is within an allowable range. It is determined that

The determination unit 16 obtains a comparison result regarding the voltage of the secondary battery 5 between the measured data and the predicted data by the data comparison unit 15 . Then, the determination unit 16 determines whether or not to update the internal state of the secondary battery 5 based on the comparison result between the measured data and the predicted data. If the deviation of the measured data from the predicted data is within the allowable range, the determination unit 16 determines not to update the internal state of the secondary battery 5. On the other hand, if the deviation of the measured data with respect to the predicted data exceeds the allowable range, the determination unit 16 determines to update the internal state of the secondary battery 5.

If it is determined that the internal state of the secondary battery 5 should be updated, the processor of the management device 3 requests an update of the internal state of the secondary battery 5, and also updates the deterioration state (re-diagnosis) of the secondary battery 5. request. In one example, when requesting an update of the deterioration state of the secondary battery 5, information indicating that the internal state of the secondary battery 5 needs to be updated is transmitted to the user of the battery-equipped device 2 via the user interface. will be notified. In this case, the information is announced by either audio or screen display.

When updating the internal state of the secondary battery 5, the internal state of the secondary battery 5 is estimated (re-estimated). In this case as well, the internal state of the secondary battery 5 is estimated in the same manner as the internal state estimation described above. That is, even when estimating the internal state of the secondary battery 5 temporarily due to a request for updating the internal state of the secondary battery 5, the internal state of the secondary battery 5 is estimated in the same manner as the periodic estimation of the internal state. The state is estimated. Note that even when the determination unit 16 determines to update the internal state of the secondary battery 5, the internal state of the secondary battery 5 is actually updated by estimating (re-estimating) the internal state of the secondary battery 5. Whether or not to do so may be left to the user of the battery-equipped device 2 or the like.

Further, the data storage unit 18 stores reference data indicating criteria for implementing the above-described determination regarding whether or not to update the internal state. Then, the determination unit 16 determines whether the conditions for charging or discharging the secondary battery 5 during the measurement period satisfy the criteria of the above-mentioned reference data. If the conditions for charging or discharging the secondary battery 5 during the measurement period do not satisfy the criteria, no determination is made as to whether or not to update the internal state. Therefore, the above-described determination regarding the update of the internal state is performed only when the conditions for charging or discharging the secondary battery 5 during the measurement period satisfy the criteria.

Here, cases in which the conditions for charging or discharging the secondary battery 5 during the measurement period do not meet the criteria include when the secondary battery 5 instantaneously becomes fully charged due to charging with a large current during the measurement period; Examples include a case where the secondary battery 5 instantaneously becomes fully discharged due to discharge with a large current during the measurement period. Also, if the secondary battery 5 is charged or discharged in an excessively low temperature environment during the measurement period, or if the secondary battery 5 is charged or discharged in an excessively narrow SOC range during the measurement period, etc. It is determined that the conditions for charging or discharging the secondary battery 5 do not meet the criteria. When the secondary battery 5 is charged or discharged under these conditions, even if the determination as to whether or not to update the internal state is made as described above, the accuracy of the determination becomes low. Therefore, it is determined that the conditions for charging or discharging the secondary battery 5 during the measurement period do not satisfy the criteria, and no determination is made regarding updating of the internal state.

Further, the processor or the like of the management device 3 predicts the end time of charging or discharging the secondary battery 5, which is being performed in real time, while the secondary battery 5 is being charged or discharged. When predicting the end time of charging or discharging in real time, the time prediction unit 17 uses the measurement results of the measurement circuit 6 and information input by the user of the battery-equipped device 2 via the user interface, etc. Based on this, conditions for charging or discharging the secondary battery 5, which is being performed in real time, are calculated and acquired. The conditions for real-time charging or discharging include, like the conditions for charging or discharging described above, conditions regarding the SOC of the secondary battery 5, conditions regarding the current flowing through the secondary battery 5, conditions regarding the temperature of the secondary battery 5, and , charging or discharging termination conditions, etc. The time prediction unit 17 also acquires the estimation result of the internal state of the secondary battery 5 by the internal state estimation unit 12 in the previous (latest) diagnosis regarding the deterioration state.

The time prediction unit 17 performs real-time prediction based on the internal state of the secondary battery 5 estimated in the previous diagnosis, real-time charging or discharging conditions of the secondary battery 5, and the battery model of the secondary battery 5 described above. Predict the end time of charging or discharging. In one example, the time prediction unit 17 applies the internal state of the secondary battery 5 estimated in the previous diagnosis and the conditions for charging or discharging the secondary battery 5 in real time to the battery model of the secondary battery 5. By doing so, temporal changes in the current and voltage of the secondary battery 5 after the current time are predicted. For example, the temporal change in the voltage of the secondary battery 5 after the current time can be predicted using the above-described calculation formula (1).

The time prediction unit 17 predicts, for example, a time point when real-time charging or discharging termination conditions are satisfied, based on predicted temporal changes in current and voltage after the current time. Then, the time prediction unit 17 determines the time predicted as the time when the charging or discharging termination condition is satisfied as the real-time charging or discharging termination time, and predicts the charging or discharging termination time. Note that the prediction result regarding the end time of charging or discharging may be notified to the user of the battery-equipped device 2 or the like via the user interface.

FIG. 4 is a flowchart illustrating an example of battery deterioration state diagnostic processing performed by the management device according to the embodiment. The diagnostic process shown in FIG. 4 is performed, for example, during periodic diagnosis regarding the deterioration state of the secondary battery 5. In addition to periodic diagnosis of the deterioration state, the diagnostic process shown in FIG. will be held.

When the diagnostic process shown in FIG. 4 is started, the internal state estimating unit 12 uses the above-mentioned diagnostic measurement data as measurement results of the current and voltage of the secondary battery 5 during charging or discharging of the secondary battery 5 under predetermined conditions. (S101). Then, the internal state estimating unit 12 estimates the internal state of the secondary battery 5 based on the measurement data at the time of diagnosis, the battery model of the secondary battery 5, and the like. Then, the determining unit 16 determines the deterioration state of the secondary battery 5 based on the estimation result of the internal state of the secondary battery 5 (S103).

FIG. 5 is a flowchart illustrating an example of processing related to updating the internal state of the secondary battery, which is performed by the management device according to the embodiment. The process shown in FIG. 5 is repeatedly performed, for example, during the deterioration state diagnosis process described above. When the process shown in FIG. 5 is started, the predicted data calculation unit 13, the determination unit 16, etc. calculate the above-mentioned measurement result as the measurement result of the current, voltage, etc. of the secondary battery 5 while the secondary battery 5 is being charged or discharged. Data is acquired (S111). Further, the predicted data calculation unit 13, the determination unit 16, and the like acquire conditions for charging or discharging the secondary battery 5 during the measurement period of the measurement data (S112). Then, the determination unit 16 determines whether the conditions for charging or discharging the secondary battery 5 during the measurement period satisfy the criteria for determining the update of the internal state (S113). If the charging or discharging conditions do not meet the criteria (S113-No), the process ends without making a determination as to whether or not to update the internal state.

On the other hand, if the charging or discharging conditions meet the criteria (S113-Yes), the predictive data calculation unit 13 uses the estimation result of the internal state of the secondary battery 5 in the previous (latest) diagnosis regarding the deterioration state. , is acquired (S114). The predictive data calculation unit 13 then calculates the internal state of the secondary battery 5 estimated in the previous diagnosis, the charging or discharging conditions of the secondary battery 5 during the measurement period, and the battery model of the secondary battery 5. Then, the aforementioned predicted data regarding the voltage of the secondary battery 5 is calculated (S115). Then, the data comparison unit 15 compares the prediction result based on the prediction data and the measurement result based on the measurement data regarding the voltage of the secondary battery 5 during charging or discharging of the secondary battery 5 during the aforementioned measurement period (S116 ). Then, as a result of the comparison between the measured data and the predicted data, the data comparing unit 15, the determining unit 16, etc. determine whether the deviation of the voltage in the measured data with respect to the voltage in the predicted data is within an allowable range (S117 ).

If the deviation of the measured data from the predicted data is within the allowable range (S117-Yes), the determination unit 16 determines not to update the internal state of the secondary battery 5 (S118). On the other hand, if the deviation of the measured data from the predicted data exceeds the allowable range (S117-No), the determination unit 16 determines to update the internal state of the secondary battery 5 (S119). Then, the processor of the management device 3 requests an update of the internal state of the secondary battery 5 (S120).

FIG. 6 is a flowchart illustrating an example of a process for predicting the end time of charging or discharging a secondary battery that is performed in real time by the management device according to the embodiment. The prediction process shown in FIG. 6 is performed, for example, while the secondary battery 5 is being charged or discharged during the deterioration state diagnosis process described above. When the prediction process shown in FIG. 6 is started, the time prediction unit 17 acquires conditions for charging or discharging the secondary battery 5 that is being performed in real time (S131). Then, the time prediction unit 17 acquires the estimation result of the internal state of the secondary battery 5 in the previous (latest) diagnosis regarding the deterioration state (S132).

Then, the time prediction unit 17 calculates the current time based on the internal state of the secondary battery 5 estimated in the previous diagnosis, the real-time charging or discharging conditions of the secondary battery 5, and the battery model of the secondary battery 5. The subsequent temporal changes in the current and voltage of the secondary battery 5 are predicted, and the time point when real-time charging or discharging termination conditions are met is predicted (S133). Then, the time prediction unit 17 determines the time predicted as the time when the charging or discharging end condition is satisfied as the real-time charging or discharging end time (S134).

As described above, in the embodiments, etc., the processor of the management device 3 calculates the estimated internal state of the secondary battery 5 and the voltage of the secondary battery 5 during charging or discharging of the secondary battery 5. The predicted data based on the charging or discharging conditions and the measured measurement data are compared. Then, the processor or the like determines whether or not to update the internal state of the secondary battery 5 based on the comparison result between the predicted data and the measured data. Therefore, even during diagnosis of the deterioration state of the secondary battery 5, that is, even when the secondary battery 5 is being charged or discharged under conditions other than the above-mentioned predetermined conditions, the secondary battery It becomes possible to determine whether or not to update the internal state of 5.

Further, the voltage in the prediction data is calculated based on the estimation result in the previous (latest) estimation of the internal state. Therefore, by comparing the voltage of the predicted data and the voltage of the measured data, the internal state of the secondary battery 5 estimated at the previous internal state estimation appropriately reflects the real-time internal state of the secondary battery 5. It is appropriately determined whether the Therefore, by determining whether or not to update the internal state of the secondary battery 5 as described above, it is determined appropriately whether or not to update the internal state of the secondary battery 5. As described above, in this embodiment, whether or not to update the internal state of the secondary battery 5 is appropriately determined during diagnosis of the deterioration state of the secondary battery 5.

Further, in the embodiments, the processor or the like of the management device 3 determines whether the conditions for charging or discharging the secondary battery 5 satisfy the criteria for determining the update of the internal state. If the secondary battery 5 is being charged or discharged under conditions that reduce the accuracy of the determination, no determination is made regarding whether or not to update the internal state. Therefore, when a determination is made regarding the update of the internal state, the accuracy of the determination is improved.

Further, in the embodiments, the processor of the management device 3, etc. predicts the end time of charging or discharging the secondary battery 5, which is being performed in real time. For this reason, the user of the battery-equipped device 2 in which the secondary battery 5 is installed, in addition to whether or not to update the internal state of the secondary battery 5 (need for updating), also determines whether the internal state of the secondary battery 5 is updated or not It is also possible to grasp the end time of charging or discharging in step 5.

FIG. 7 is a flowchart illustrating an example of a process related to updating the internal state of a secondary battery, which is performed by a management device according to a modification. In the modified example of FIG. 7, the number N of times it is determined that the deviation of the voltage of the measured data with respect to the voltage of the predicted data exceeds an allowable range in the comparison between the predicted data and the measured data is defined as a parameter. Then, the processor or the like of the management device 3 determines to update the internal state of the secondary battery 5 based on the fact that the number of times N becomes equal to or greater than the reference number of times Nref. The number of times N is set to zero at the time when the previous diagnosis of the deterioration state was performed. Therefore, it is determined that the internal state of the secondary battery 5 is to be updated based on the fact that it has been determined Nref times that the deviation of the measured data from the predicted data exceeds the permissible range since the previous diagnosis of the deterioration state. Further, the reference number of times Nref is an integer of 2 or more.

Also in this modification, as in the above-described embodiments, in one process related to updating the internal state of the secondary battery 5, the processor of the management device 3, etc. performs the processes of S111 to S117 described above. . If the deviation of the measured data from the predicted data is within the allowable range (S117-Yes), the determination unit 16 determines not to update the internal state of the secondary battery 5 (S118). However, in this modification, if the deviation of the measured data with respect to the predicted data exceeds the allowable range (S117-No), the processor etc. adds 1 to the number N of times it was determined that the deviation exceeds the allowable range. (S121). Then, the determining unit 16 determines whether the added number N is equal to or greater than the reference number Nref (S122).

If the number of times N is smaller than the reference number of times Nref (S122-No), the determination unit 16 determines not to update the internal state of the secondary battery 5 (S118). On the other hand, if the number N is equal to or greater than the reference number Nref (S122-Yes), the determination unit 16 determines to update the internal state of the secondary battery 5 (S119). Then, the processor of the management device 3 requests an update of the internal state of the secondary battery 5 (S120).

This modification also provides the same functions and effects as the above-described embodiments. In addition, in this modification, since the above-mentioned processing is performed, determination regarding the voltage deviation in the measured data with respect to the voltage in the predicted data is performed multiple times, and based on the multiple determination results, the secondary battery It is determined whether or not to update the internal state of No. 5 (need for update). Therefore, the accuracy of determination regarding updating of the internal state becomes even higher.

In at least one of the embodiments or examples described above, prediction is made regarding the voltage of the secondary battery during charging or discharging of the secondary battery based on the estimated internal state of the secondary battery and the conditions during charging or discharging of the secondary battery. Compare the data with measured measurement data. Then, based on the comparison result between the predicted data and the measured data, it is determined whether or not to update the internal state of the secondary battery. This provides a secondary battery management method, a secondary battery management device, and a secondary battery management device that appropriately determines whether or not to update the internal state of the secondary battery during diagnosis of the deterioration state of the secondary battery. It is possible to provide management systems, battery-equipped devices, and secondary battery management programs.

Although several embodiments of the invention have been described, these embodiments are presented by way of example and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, substitutions, and changes can be made without departing from the gist of the invention. These embodiments and their modifications are included within the scope and gist of the invention, as well as within the scope of the invention described in the claims and its equivalents.
Additional notes are listed below.
[1] A method for managing a secondary battery, comprising:
Regarding the voltage of the secondary battery during charging or discharging of the secondary battery, predicted data and measured measurements based on the estimated internal state of the secondary battery and the conditions during the charging or discharging of the secondary battery. Comparing the data and
determining whether to update the estimated internal state of the secondary battery based on a comparison result between the predicted data and the measured data;
A management method comprising:
[2] determining that the internal state of the secondary battery is to be updated based at least on the fact that a deviation of the measured data with respect to the predicted data exceeds a permissible range in a comparison between the predicted data and the measured data; [1] Management method.
[3] Calculating the predicted data by applying the estimated internal state of the secondary battery and the conditions for charging or discharging the secondary battery to a battery model of the secondary battery. The management method according to [1] or [2], further comprising:
[4] Measurement results of the voltage and current of the secondary battery during charging or discharging of the secondary battery under predetermined conditions, and measurement results of the voltage and current of the secondary battery with respect to the voltage and current of the secondary battery. The management method according to any one of [1] to [3], further comprising estimating the internal state of the secondary battery by performing a fitting calculation using at least data indicating a relationship between internal states.
[5] [1] to [4] further comprising determining whether or not the conditions in the charging or discharging of the secondary battery satisfy criteria for determining the update of the internal state. Any one of the management methods.
[6] Predicting the end time of charging or discharging of the secondary battery, which is being performed in real time, based on the estimated internal state of the secondary battery and a battery model of the secondary battery. The management method according to any one of [1] to [5], further comprising:
[7] A secondary battery management device,
Regarding the voltage of the secondary battery during charging or discharging of the secondary battery, predicted data and measured measurements based on the estimated internal state of the secondary battery and the conditions during the charging or discharging of the secondary battery. Compare with the data,
determining whether to update the estimated internal state of the secondary battery based on a comparison result between the predicted data and the measured data;
A management device including a processor.
[8] The management device of [7],
the secondary battery, the processor of the management device determining whether to update the internal state;
The management system for the secondary battery, comprising:
[9] The management system according to [8], further comprising a battery-equipped device in which the secondary battery is mounted.
[10] The management device of [7],
the secondary battery, the processor of the management device determining whether to update the internal state;
A battery-equipped device equipped with.
[11] A secondary battery management program, comprising:
Regarding the voltage of the secondary battery during charging or discharging of the secondary battery, predicted data and measured measurements based on the estimated internal state of the secondary battery and the conditions during the charging or discharging of the secondary battery. Compare with the data,
determining whether to update the estimated internal state of the secondary battery based on a comparison result between the predicted data and the measured data;
Management program.

DESCRIPTION OF SYMBOLS 1... Management system, 2... Battery equipped equipment, 3... Management device, 5... Secondary battery, 6... Measurement circuit, 7... Battery control section, 11... Transmission/reception section, 12... Internal state estimation section, 13... Predicted data calculation section, 15...data comparison section, 16...judgment section, 17...time prediction section, 18...data storage section.

Claims (12)

A method for managing a secondary battery, the method comprising:
Measurement results of the voltage and current of the secondary battery during charging or discharging of the secondary battery under predetermined conditions, and the relationship of the internal state of the secondary battery to the voltage and current of the secondary battery. estimating the internal state of the secondary battery by performing a fitting calculation using at least the data shown.
Regarding the voltage of the secondary battery during charging or discharging of the secondary battery, predicted data and measured data are based on the estimated internal state of the secondary battery and the conditions during the charging or discharging of the secondary battery. Comparing with measurement data,
determining whether to update the estimated internal state of the secondary battery based on a comparison result between the predicted data and the measured data;
A management method comprising: A method for managing a secondary battery, the method comprising:
Regarding the voltage of the secondary battery during charging or discharging of the secondary battery, predicted data and measured measurements based on the estimated internal state of the secondary battery and the conditions during the charging or discharging of the secondary battery. Comparing the data and
determining whether to update the estimated internal state of the secondary battery based on a comparison result between the predicted data and the measured data;
Predicting the end time of charging or discharging of the secondary battery being performed in real time based on the estimated internal state of the secondary battery and a battery model of the secondary battery;
A management method comprising: 2. The internal state of the secondary battery is determined to be updated based at least on the fact that a deviation of the measured data with respect to the predicted data exceeds a permissible range in a comparison between the predicted data and the measured data. Or management method 2 . Calculating the predicted data by applying the estimated internal state of the secondary battery and the conditions for charging or discharging the secondary battery to a battery model of the secondary battery. The management method according to any one of claims 1 to 3 , comprising: 5. The method according to claim 1, further comprising determining whether or not the condition in the charging or discharging of the secondary battery satisfies a criterion for determining the update of the internal state. management method. A secondary battery management device,
Measurement results of the voltage and current of the secondary battery during charging or discharging of the secondary battery under predetermined conditions, and the relationship of the internal state of the secondary battery to the voltage and current of the secondary battery. estimating the internal state of the secondary battery by performing a fitting calculation using at least the data shown;
Regarding the voltage of the secondary battery during charging or discharging of the secondary battery, predicted data and measured data are based on the estimated internal state of the secondary battery and the conditions during the charging or discharging of the secondary battery. Compare with the measurement data,
determining whether to update the estimated internal state of the secondary battery based on a comparison result between the predicted data and the measured data;
A management device including a processor. A secondary battery management device,
Regarding the voltage of the secondary battery during charging or discharging of the secondary battery, predicted data and measured measurements based on the estimated internal state of the secondary battery and the conditions during the charging or discharging of the secondary battery. Compare with the data,
Determining whether to update the estimated internal state of the secondary battery based on a comparison result between the predicted data and the measured data,
predicting the end time of charging or discharging of the secondary battery being performed in real time based on the estimated internal state of the secondary battery and a battery model of the secondary battery;
A management device including a processor. A management device according to claim 6 or 7 ,
the secondary battery, the processor of the management device determining whether to update the internal state;
The management system for the secondary battery, comprising: 9. The management system according to claim 8, further comprising a battery-mounted device on which the secondary battery is mounted. A management device according to claim 6 or 7 ,
the secondary battery, the processor of the management device determining whether to update the internal state;
A battery-equipped device equipped with. A secondary battery management program that runs on a computer.
Measurement results of the voltage and current of the secondary battery during charging or discharging of the secondary battery under predetermined conditions, and the relationship of the internal state of the secondary battery to the voltage and current of the secondary battery. estimating the internal state of the secondary battery by performing a fitting calculation using at least the data shown;
Regarding the voltage of the secondary battery during charging or discharging of the secondary battery, predicted data and measured data are based on the estimated internal state of the secondary battery and the conditions during the charging or discharging of the secondary battery. Compare with measurement data,
determining whether to update the estimated internal state of the secondary battery based on a comparison result between the predicted data and the measured data;
Management program. A secondary battery management program that runs on a computer.
Regarding the voltage of the secondary battery during charging or discharging of the secondary battery, predicted data and measured measurements based on the estimated internal state of the secondary battery and the conditions during the charging or discharging of the secondary battery. Compare with the data,
determining whether or not to update the estimated internal state of the secondary battery based on a comparison result between the predicted data and the measured data;
predicting the end time of charging or discharging of the secondary battery that is being performed in real time based on the estimated internal state of the secondary battery and a battery model of the secondary battery;
Management program.