JP5576229B2 - Lithium ion battery diagnostic system and lithium ion battery diagnostic method - Google Patents

Description

  The present invention relates to a lithium ion battery diagnostic system and a lithium ion battery diagnostic method for diagnosing a lithium ion battery.

  Recently, development of secondary batteries typified by lithium ion batteries is active. Lithium ion batteries can be repeatedly charged and discharged. For example, when used in electric vehicles such as hybrid vehicles and fuel cell vehicles, the safety and reliability of lithium ion batteries can be related to human life. It is important to secure the sex.

  Therefore, in order to ensure the safety and reliability of secondary batteries represented by lithium ion batteries, conventionally, the battery voltage and current are measured during charging or discharging, and the performance and defects are checked. Various diagnoses are made to understand the situation.

  For example, Patent Document 1 discloses a technique for diagnosing battery life by calculating internal impedance from battery voltage / current.

  In Patent Document 2, voltage and current characteristics at the time of charging and discharging of a battery are measured, a characteristic factor is quantified from a measurement result of characteristic impedance with respect to a predetermined frequency region, and the state of the battery is diagnosed. However, in order to ensure safety and reliability, a technique is disclosed in which a battery used in a module is selected according to battery characteristics.

  Furthermore, Patent Document 3 classifies cells having similar spectra using a pattern matching method based on the impedance spectrum of the cells, and selects the cells so that the standard deviation in the module battery is small. Thus, a technique for improving the reliability of the module battery is disclosed.

JP 2006-524332 A JP 2000-156248 A JP 10-31823 A

  With the techniques disclosed in Patent Documents 1 to 3 described above, defective batteries can be selected by diagnosing the performance of the battery in the manufacturing stage such as the manufacturing process or the inspection process. However, after the manufactured battery is shipped, the degree of performance deterioration differs depending on the usage status of the battery. Therefore, simply diagnosing the battery at the manufacturing stage can provide a battery with high safety and reliability. I can't get it. That is, in order to provide a battery with higher safety and reliability, it is necessary to diagnose the battery in consideration of the usage condition of the battery after shipment.

  The present invention has been made in view of the above, and a lithium ion battery diagnostic system capable of diagnosing battery performance in consideration of the environment in the manufacturing stage and the environment in use, and lithium ion battery diagnosis It aims to provide a method.

In order to solve the above-described problems and achieve the object, a lithium ion battery diagnostic system according to the present invention is a lithium ion battery diagnostic system for diagnosing a module battery composed of a plurality of single cells that store electric power. The diagnostic apparatus for diagnosing the module battery includes manufacturing information indicating a result of a test or inspection of the single battery, the module battery, the single battery or a material constituting the single module battery, before shipment. Among these, the module battery, the single battery, the normal operation model information determined based on the manufacturing information of the material, and the single battery, the module battery, the single battery or the module battery after shipment are configured. Operation information indicating the result of the test or inspection of the material to be performed, for each material and for each unit cell And a battery performance management storage unit that stores each module battery, and the manufacturing information is collected from a manufacturing apparatus that manufactures the module battery, and the normal operation model information is acquired based on the collected manufacturing information, A manufacturing information collection processing unit that stores manufacturing information and the normal operation model information in the battery performance management storage unit; and when the module battery is charged / discharged, receives the operation information from a charging device connected to the diagnostic device. Then, based on the received operation information, it is determined whether or not the module battery is abnormal, and the operation information of the module battery determined to be abnormal is stored in the battery performance management storage unit. The battery performance management storage unit stores the operation information collection processing unit to be stored and the operation information collection processing unit when the operation information is received. Based on the normal operation information, the operation information, and the operation information of the module battery determined to be abnormal, the operation information and the operation information collection processing unit are abnormal. The degree of similarity with the operation information of the module battery determined to be is determined, and the operation information is similar to the operation information of the module battery determined to be abnormal in the operation information collection processing unit. A failure determination processing unit that outputs a diagnosis result indicating that they are similar to each other, and a communication unit that transmits the diagnosis result to the charging device or receives the operation information from the charging device. And the charging device receives charging / discharging of the module battery, acquires the operation information from the module battery, and the operation information acquired by the charging unit in advance. A charging communication unit that transmits to the diagnostic device or receives the diagnostic result from the diagnostic device;
It is characterized by providing.

  Moreover, this invention is a lithium ion battery diagnostic method performed with the said lithium ion battery diagnostic system.

  ADVANTAGE OF THE INVENTION According to this invention, the lithium ion battery diagnostic system and the lithium ion battery diagnostic method which can diagnose the performance of a battery in consideration of the environment in a manufacture stage and the environment at the time of use can be provided.

1 is a block diagram showing a configuration of a lithium ion battery diagnostic system according to an embodiment of the present invention. It is a figure which shows typically the specific process until a lithium ion battery is manufactured. It is a perspective view which shows typically the structure of the module battery of a lithium ion battery. It is a figure which shows the example of the manufacturing information stored in a battery performance management database. It is a figure which shows the specific example of a cell correspondence table. It is a figure which shows the specific example of a module battery correspondence table | surface. It is a figure which shows the example of a determination criteria table. It is a graph which shows the total result which the defect determination process part classified with respect to all the manufacture information. It is a figure which shows the example of material-single cell test | inspection / test history map data. It is a figure which shows the example of a cell-module test | inspection and test history map data. It is a figure which shows the example of a performance history map. It is a figure which shows the example in which standard log | history map data are produced | generated from the past normal performance log | history map. It is a figure which shows a mode that standard log | history map data and a past abnormal performance log | history map are compared. It is a figure which shows a mode that a past abnormal performance history map and a performance history map are compared. It is a flowchart of the charge process performed with a lithium ion battery diagnostic system. It is a flowchart which shows the process sequence of a similarity calculation process.

  Embodiments of a lithium ion battery diagnostic system and a lithium ion battery diagnostic method according to the present invention will be described below in detail with reference to the accompanying drawings.

  FIG. 1 is a block diagram showing a configuration of a lithium ion battery diagnostic system 1000 according to an embodiment of the present invention. As shown in FIG. 1, the lithium ion battery diagnostic system 1000 includes a battery production line 100, a charging station 200, and a lithium ion battery diagnostic device 300. First, the battery production line 100 will be described.

  The battery production line 100 is a production line for lithium ion batteries. As shown in FIG. 1, the battery manufacturing line 100 includes a material inspection process 110, an electrode manufacturing process 120, a cell assembly process 130, a cell inspection process 140, a module assembly process 150, and a module inspection process 160. It is comprised including. Below, the information regarding manufacture or a test | inspection is output from the manufacturing apparatus and test | inspection apparatus in the manufacturing process of a lithium ion battery.

  The material inspection step 110 is responsible for material inspection for receiving materials of lithium ion batteries, such as film-like metal foil and various material powders for constituting the positive electrode and the negative electrode. In the material inspection step 110, after receiving various materials of the lithium ion battery, inspection data relating to the received material (for example, a specific material composition to be an electrode of the lithium ion battery or an inspection date and time) is output.

  As will be described later, this inspection data is used by the lithium ion battery diagnostic device 300 to diagnose the performance of the lithium ion battery. In addition to information on the above-mentioned materials, the inspection data includes the date and time when a predetermined test or inspection was performed in the material inspection process, the item of the test or inspection, the measured value when the test or inspection was performed, the test And at least identification information for identifying the inspection target. A specific configuration of the inspection data will be described later.

  The electrode manufacturing process 120 bears an electrode manufacturing process for manufacturing the positive electrode and the negative electrode of the lithium ion battery. In the electrode manufacturing process 120, when the positive electrode and the negative electrode described above are manufactured through the material inspection process 110, electrode manufacturing data (for example, the temperature of the material when manufacturing the electrode) regarding the manufacturing conditions of the manufactured positive electrode and negative electrode is obtained. Output. Like the above-mentioned inspection data, this manufacturing data is the date and time when a predetermined test or inspection was performed in the electrode manufacturing process, the item of the test or inspection, the measured value when the test or inspection was performed, the test or inspection. It is assumed that it includes at least identification information for identifying the target. A specific configuration of the electrode manufacturing data will be described later.

  The unit cell assembly process 130 is a unit cell assembly process for assembling a unit cell called a cell constituting a lithium ion battery from various materials received through the material inspection step 110 and the electrodes manufactured in the electrode manufacturing step 120. is there. In the unit cell assembly step 130, when the unit cell is assembled, unit cell QC inspection data indicating a result of the unit cell inspection performed when the unit cell is assembled (for example, a result of a welding check of each material) is output. This cell QC inspection data is the same as the above-described inspection data, etc., the date and time when a predetermined test or inspection was performed in the cell assembly process, the item of the test or inspection, and the measurement when the test or inspection was performed. It includes at least identification information for identifying the value and the object of the test or inspection. A specific configuration of the cell QC inspection data will be described later.

  The cell inspection process 140 is responsible for the cell inspection process of the cells assembled in the cell assembly process 130. The unit cell inspection process 140 outputs unit cell product inspection data indicating the result of inspection of the assembled unit cell (for example, the result of checking the charge capacity of the unit cell). This single cell product inspection data is the same as the above-mentioned inspection data, etc., the date and time when a predetermined test or inspection was performed in the single cell inspection process, the item of the test or inspection, and the measurement when the test or inspection was performed. It includes at least identification information for identifying the value and the object of the test or inspection. A specific configuration of the cell product inspection data will be described later.

  The module assembling step 150 is responsible for a module assembling step for manufacturing a module battery to which a plurality of unit cells inspected in the unit cell inspecting step 140 are combined in series and to which a controller (described later) for controlling these unit cells is connected. Is. When a module battery is assembled from a plurality of single cells in the module assembly step 150, a module QC inspection indicating a result of the inspection of the module battery performed at the time of assembling (for example, a result of checking the number of assembled individual cells). Output data. This module battery QC inspection data is the same as the above-described inspection data, etc., the date and time when a predetermined test or inspection was performed in the module battery assembly process, the item of the test or inspection, and the measurement when the test or inspection was performed. It includes at least identification information for identifying the value and the object of the test or inspection. A specific configuration of the module battery QC inspection data will be described later.

  The module inspection process 160 is responsible for the module battery inspection process of the module battery assembled in the module assembly process 150. In the module battery inspection step 160, product inspection data indicating the result of inspection of the assembled module battery (for example, the result of checking the charging capacity of the module battery) is output. This module battery product inspection data is the same as the above-described inspection data, etc., the date and time when a predetermined test or inspection was performed in the module battery inspection process, the item of the test or inspection, and the measurement when the test or inspection was performed. It includes at least identification information for identifying the value and the object of the test or inspection. The specific configuration of the module battery product inspection data will be described later.

  FIG. 2 is a diagram schematically showing specific steps until a lithium ion battery is manufactured. As shown in FIG. 2, the manufacturing process of the lithium ion battery includes a positive electrode material manufacturing process, a negative electrode material manufacturing process, a cell assembly process, and a module battery assembly process.

  In the positive electrode material manufacturing process, first, after passing through the material inspection process 110, in the electrode manufacturing process 120, various materials as raw materials for the positive electrode material are kneaded and mixed to prepare a slurry material. And after apply | coating this slurry material to a film-form metal foil, the process of compression or a cutting | disconnection is performed to the metal foil with which the slurry was coated, and a film-form positive electrode material is manufactured.

  On the other hand, in the negative electrode material manufacturing process, various materials used as raw materials are different from those in the positive electrode material manufacturing process, but the procedure until the negative electrode material is manufactured is the same. First, after passing through the material inspection step 110, in the electrode manufacturing step 120, various materials as raw materials for the negative electrode material are kneaded and prepared to prepare a slurry material (kneading and preparation), and this slurry material is applied to a film-like metal foil. After coating (coating), processing such as compression or cutting of the metal foil coated with the slurry is performed (processing) to produce a film-like negative electrode material.

  Thereafter, in the unit cell assembly step 130, a positive electrode and a negative electrode having a size necessary for the unit cell are cut out from the film-like positive electrode material and the negative electrode material in a process called winding, and the positive electrode material and the negative electrode material are separated from each other. A separator having a size required for the unit cell is cut out from the film-like separator material for separation, and the positive electrode and the negative electrode are sandwiched with the cut separator interposed therebetween (winding). Then, a group of electrode pairs of the positive electrode, the negative electrode, and the separator assembled together is assembled and welded. Thereafter, the group of welded electrode pairs is placed in a battery can into which an electrolytic solution has been injected (injected), and then the battery can is completely sealed (sealed) to produce a single cell.

  In the unit cell inspection process 140, the unit cell of the lithium ion battery created in the unit cell assembly step 130 is repeatedly charged and discharged, and an inspection regarding the performance and reliability of the unit cell (for example, the capacity, voltage, and charge of the unit cell). (Inspection of current and voltage during discharging) (single cell inspection). Thereby, a single cell is completed and a single cell assembly process is complete | finished.

  Next, in the module battery assembly process 150, a plurality of unit cells are combined in series, and the above-described controller (described later) is connected to manufacture a module battery (module assembly). Thereafter, in the module battery inspection process 160, an inspection regarding the performance and reliability of the module battery assembled in the module battery assembly process 150 (for example, inspection of capacity and voltage of the module battery, current and voltage during charging or discharging) is performed. (Module inspection).

  FIG. 3 is a perspective view schematically showing the configuration of the module battery of the lithium ion battery manufactured as described above. As shown in FIG. 3, the inside of the module battery is composed of a plurality of single cells with a barcode indicating a single cell management number for identifying the single cell, and these single cells are arranged in series. Yes. The module battery is provided with a controller C for managing the results of charging / discharging of each unit cell and module battery.

  The controller C has a counter that counts the number of times the unit cell is charged or discharged, and a timer that measures an elapsed time since the module battery is shipped. Further, the controller C is similar to the above-described inspection data, electrode manufacturing data, single cell QC inspection data, single cell product inspection data, module battery QC inspection data, and module battery product inspection data at the present time (for example, charging time). Data (hereinafter referred to as operating value) is acquired and stored in the memory M inside the controller C. In addition, the controller C provides these data when the module battery operates normally (that is, when the module battery is operated with manufacturing information within a range defined as a non-defective module battery, single battery, or material equivalent). (Hereinafter referred to as a normal operation model value) is stored in the memory M in advance and, as will be described later, when the module battery is charged, the operation value and the normal operation model value are sent to the charging station 200. ing. Note that only a history of operating values is stored in the memory M, and a normal operating model and various data in the battery manufacturing process may not be stored.

  Thus, the module battery of a lithium ion battery is manufactured through the above-described steps in the battery manufacturing line 100, and the completed module battery is shipped (Shipment). And the shipped module battery is mounted in various apparatuses, such as an electric vehicle like a hybrid vehicle, for example, and will be charged / discharged according to the use environment of the mounted apparatus. Subsequently, returning to FIG. 1, the charging station 200 will be described.

  The charging station 200 is a device for supplying electric power to a module battery mounted on an electric vehicle such as a hybrid vehicle. The charging station 200 can be installed in various places where there is a space where an electric vehicle can be parked, such as a convenience store, a gas station, or a general household.

  As shown in FIG. 1, the charging station 200 includes a display unit 210, a charging mechanism 220, and a communication unit 230. Although not specifically described below, the display unit 210, the charging mechanism 220, and the communication unit 230 are operated by a control unit such as a CPU (Central Processing Unit) (not shown) mounted in the charging station 200. Is controlled.

  The display unit 210 is a display device such as a touch panel type LCD (Liquid Crystal Display). As will be described later, the display unit 210 displays on the screen the result of the lithium ion battery diagnostic device 300 determining whether or not the module battery is abnormal. In addition, the display unit 210 performs an operation for starting charging of the module battery from an operator (for example, a shop clerk) of the charging station 200 or a driver of the electric vehicle (hereinafter collectively referred to as an operator). Accept.

  The charging mechanism 220 is a device including a commercial power source, for example. When the display unit 210 receives an instruction to start charging from the operator, the charging mechanism 220 is connected to the lithium battery mounted on the electric vehicle via, for example, a cabtire cable electrically connected to the electric vehicle. Supply power to the ion battery.

  Further, the charging mechanism 220 receives the operating value and the normal operating model value from the controller C mounted on the module battery of the lithium ion battery when supplying power to the power supply target as described above. The operation value, the normal operation model value, the voltage value when charging the module battery, and the charging time (hereinafter referred to as operation data) are output.

  The communication unit 230 is a device including a modem, for example. The communication unit 240 transmits the operation data output by the charging mechanism 220 to the lithium ion battery diagnostic device 300 via the network N. The network N is a general communication line network such as the Internet. Subsequently, returning to FIG. 1, the lithium ion battery diagnostic apparatus 300 will be described.

  As shown in FIG. 1, the lithium ion battery diagnostic apparatus 300 includes a manufacturing information collection unit 310, a battery performance management database 320, an operation information collection unit 330, a failure determination unit 340, a diagnostic result creation processing unit 350, The communication unit 360 is included. First, the manufacturing information collection unit 310 will be described.

  When the manufacturing information collection unit 310 receives the inspection data, the manufacturing condition data, the single cell QC inspection data, the single cell product inspection data, the module QC inspection data, and the module product inspection data output from the battery manufacturing line 100, these received data Data (hereinafter referred to simply as manufacturing information) is stored in the battery performance management database 320. In the battery performance management database 320, as will be described later, operation values and normal operation model values included in the operation data received by the operation information collection processing unit 330 from the charging station 200 are stored in the same layout as the manufacturing information. Has been.

  In the following description, the battery performance management database 320 is described by taking manufacturing information as an example, but the operating value has the same configuration. In the present embodiment, the normal operation model value to be described later is described as being mounted on the shipped module battery and received from the charging station 200 at the time of charging. A standard value of manufacturing information (a value in a range determined in advance as a non-defective module battery) is set according to manufacturing information collected from each part of the battery manufacturing line 100, and the battery performance management is performed using the value (standard value) as a normal operation model value. It may be stored directly in the database 320.

  FIG. 4 is a diagram illustrating an example of manufacturing information stored in the battery performance management database 320. As shown in FIG. 4, the battery performance management database 320 includes a measurement date and time indicating the date and time when a predetermined test and inspection are performed in each process, a manufacturing inspection and test item indicating the test and inspection items, and a test. Alternatively, the measurement value of the inspection, the identification ID (IDentification) that is identification information for identifying the test or inspection target, and the data unit indicating the unit of the measurement target are stored in association with each other.

  In the example shown in FIG. 4, “inspection 1” is performed on a “unit cell” having an identification ID “C1” at a certain measurement date and time (for example, August 30, 2010, 00:00:00). It shows that measured values (for example, 0.5 V or the like for charge / discharge inspection) are obtained and stored in association with each other. The manufacturing information collection unit 310 refers to the type of the identification ID, and according to the type, “single cell” (in the case of C1, C2,..., Cn), “material lot” (E1, E2, .., En) and “modules” (M1, M2,..., Mn) and other data units are written. As described above, the manufacturing information collection unit 310 stores the data obtained in each process together in the battery performance management database 320 with the same layout as the manufacturing information. Next, returning to FIG. 1, the battery performance management database 320 will be described.

  The battery performance management database 320 is a storage device or medium that stores various types of information indicating the performance of all manufactured module batteries. The battery performance management database 320 stores the normal operation model value and the operation value included in the operation data transmitted from the charging station 200 in addition to the manufacturing information described above. Since the specific configuration of these data is the same as the manufacturing information described above, the description thereof is omitted here.

  The battery performance management database 320 is a table in which, in addition to the manufacturing information described above, a unit cell ID for identifying a unit cell and a material lot ID for identifying a material lot constituting the unit cell are associated with each other. (Single cell correspondence table) is stored.

  FIG. 5 is a diagram showing a specific example of the unit cell correspondence table. In the example shown in FIG. 5, the material whose material lot ID is “E1” is used for 10 unit cells whose unit cell IDs are “C1” to “C10”. In addition, the material whose material lot ID is “E2” indicates that the unit cell ID is used for four unit cells from “C11” to “C14”.

  Further, the battery performance management database 320 stores a table (module correspondence table) in which module IDs for identifying module batteries are associated with unit cell IDs for identifying unit cells constituting the module battery. Yes.

  FIG. 6 is a diagram showing a specific example of the module battery correspondence table. In the example shown in FIG. 6, the module battery whose module ID is “M1” is composed of five single batteries whose single battery IDs are “C1”, “C2”, “C3”, “C6”, and “C7”. It has been shown. In addition, the module battery whose module ID is “E2” is composed of five single batteries whose cell IDs are “C4”, “C5”, “C7”, “C8”, and “C9”. Show.

  In addition, the battery performance management database 320 determines a measurement value when a measurement target (for example, a material, a single cell, or a module battery) is inspected or tested by a manufacturing inspection / test item included in the manufacturing information. Is stored.

  FIG. 7 is a diagram illustrating an example of the determination criterion table described above. As shown in FIG. 7, the determination criteria table classifies manufacturing inspection / test items, determination conditions (upper and lower thresholds) as criteria for determining measurement values, and determination results of measurement values. The category name and the evaluation value when inspected or tested by the manufacturing inspection / test item are stored in association with each other.

  In the example shown in FIG. 7, when “inspection 1” (for example, inspection of voltage value at the time of charging / discharging of a single cell) is performed as a manufacturing inspection / test item, the measured value is an upper threshold (for example, 1.5V) to a lower threshold value (for example, 1.0V), it is classified as “rank 1”, its evaluation value is “1”, and an upper threshold value (for example, 1.0V) to a lower threshold (for example, -1.0V), it is classified as “rank 2”, its evaluation value is “0”, and an upper threshold (for example, -1.0V) to the lower threshold (for example, -1.5V), it is classified as “rank 3”, and the evaluation value is “−1”. Such classification is performed on all manufacturing information stored in the battery performance management database 320 by a defect determination processing unit 340 described later.

  FIG. 8 is a graph in which the defect determination processing unit 340 performs the above-described classification on all manufacturing information and shows the total result. As shown in FIG. 8, when the horizontal axis is a measured value (for example, in the case of inspection 1, the voltage value at the time of charging / discharging), and the vertical axis is frequency (absolute value of the evaluation value), the total result is as follows. It can be expressed with a certain distribution. Next, returning to FIG. 1, the operation information collection processing unit 330 will be described.

  When the communication unit 260 receives the operation data from the charging station 200, the operation information collection processing unit 330 refers to the voltage value and the charging time included in the received operation data, and these values are within a predetermined threshold range. It is determined whether or not the charged module battery is abnormal.

  When the operation information collection processing unit 330 determines that the charged module battery is abnormal, the operation information collection processing unit 330 outputs a determination result to that effect to the communication unit 360, and displays the operation value and normal operation model value included in the operation data. And stored in the battery performance management database 320. In this way, the operation information collection processing unit 330 stores the operation value for the module battery determined to be abnormal in addition to the normal operation model value in the battery performance management database 320, so that the module that has been manufactured or tested is stored. Among the batteries, the operating values of all abnormal module batteries are accumulated, and then the communication unit 360 transmits a diagnosis result to that effect to the charging station 200, and the display unit 210 of the charging station 200 Display the diagnosis result. This display allows the operator to recognize that the module battery is abnormal. Next, the defect determination processing unit 340 will be described.

  If the operation information collection processing unit 330 determines that the charged module battery is not abnormal, the defect determination processing unit 340 creates inspection / test history map data for the battery module. This inspection / test history map data is used to determine whether or not a module battery that is subject to replacement tends to become abnormal in the future even if the charged module battery is not determined to be abnormal. It is.

  The defect determination processing unit 340 refers to the operation value included in the operation data received by the communication unit 360 and stored by the operation information collection processing unit 330 and the normal operation model value, and tests / inspections in units of material lots. Material-unit cell combining material history map (A) in which items are associated with unit cell IDs, and unit cell history map (B) in which test / inspection items are associated with unit cell IDs in units of unit cells Generate inspection / test history map data.

  FIG. 9 is a diagram showing an example of material-single cell inspection / test history map data. As shown in FIG. 9, the material-cell inspection / test history map data includes cell ID (for example, C1), test / inspection items (for example, inspections 1 to 5) in units of material lots, and cell unit. Are associated with test / inspection items (for example, inspections 1 to 7).

  In the example shown in FIG. 9, ten unit cells with unit cell IDs C1 to C10 are manufactured using a certain common material, but the test and inspection process of the material (inspection shown on the horizontal axis) 1 to 5), it is shown that some abnormality has occurred in step 2 and step 4. Similarly, ten unit cells with unit cell IDs C1 to C10 indicate that some abnormality has occurred in step 3. That is, the material history map shown in FIG. 9 shows the abnormal pattern of the unit cell when viewed in material lot units.

  In the example shown in FIG. 9, each of the 20 unit cells with unit cell IDs C1 to C20 is a unit cell unit test or inspection process (inspection steps 1 to 7 shown on the horizontal axis). In the colored process (for example, the unit cell whose unit cell ID is C2) indicates that some abnormality has occurred in the step 2 and the step 6. That is, the unit cell history map shown in FIG. 9 shows an abnormal pattern of the unit cells when viewed in unit cells.

  In addition, the defect determination processing unit 340 associates the module ID with the unit cell history map (B), and the test / inspection unit for each module battery, similarly to the material-unit cell inspection / test history map data described above. The unit cell-module inspection / test history map data is generated by combining the unit cell history maps (C).

  FIG. 10 is a diagram illustrating an example of the cell-module inspection / test history map data. As shown in FIG. 10, the cell-module inspection / test history map data includes a cell ID (for example, C1), a test / inspection item (for example, inspections 1 to 7) for each cell, and a module battery unit. Are associated with test / inspection items (for example, inspections 1 to 5).

  In the example illustrated in FIG. 10, among the single cell history map (B) illustrated in FIG. 9 and the 20 single cells with the single cell IDs C1 to C20, for example, the single cell IDs are C1 to C3, C6, The five cells of C7 constitute a module battery having a module ID M1, but in the test and inspection process (inspections 1 to 5 shown on the horizontal axis) for each module battery, the process 4 Indicates that something is wrong. That is, the material history map shown in FIG. 9 shows the abnormal pattern of the unit cell when viewed in module battery units.

  The defect determination processing unit 340 includes the above-described material-cell inspection / test history map data and cell-module inspection / test history map data (that is, material history map (A), cell history map (B), When the battery history map (C) is generated, a performance history map in which these are associated with each other using the cell history map (B) as a key is generated.

  FIG. 11 is a diagram illustrating an example of a performance history map. As shown in FIG. 11, the performance history map includes the above-described test and inspection processes of the material history map (A), the unit cell history map (B), and the unit cell history map (C). Corresponding to each module ID. As described above, the defect determination processing unit 340 generates the performance history map so that the module battery performance at the present time (for example, at the time of charging) can be grasped.

  When the defect determination processing unit 340 generates the performance history map shown in FIG. 11, the defect determination processing unit 340 accesses the generated performance history map and the battery performance management database 320, and the operation information collected and stored in the past by the operation information collection processing unit 330. A value is obtained, and a similarity calculation process for calculating a similarity with a history map (hereinafter referred to as a past abnormal performance history map) generated in the same manner as in FIGS.

  Specifically, when performing the similarity calculation process, the defect determination processing unit 340 first accesses the battery performance management database 320 to acquire a normal operation model value, and from the acquired normal operation model value, FIG. A history map generated in the same manner as in No. 11 (hereinafter referred to as a past normal performance history map) is generated. This past normal history map is generated for all module batteries manufactured in the past.

  Then, the failure determination processing unit 340 generates standard history map data that averages the unit cell IDs and the normal operation model values for each process constituting the past normal history map for all the generated past normal history maps. .

  FIG. 12 is a diagram illustrating an example in which standard history map data is generated from a past normal performance history map. As shown in the upper part of FIG. 12, the failure determination processing unit 340 generates a past normal performance history map from all normal operation model values in the battery performance management database 320, and then, as shown in the lower part of FIG. Standard history map data obtained by averaging the normal operation values constituting the past normal performance history map is generated. In the example shown in FIG. 12, when the unit cell ID is i and the step indicating the test or inspection is j, the normal operation value in the step j of the unit cell with the unit cell ID i is M_base (i, j ).

  Further, when generating the standard history map data, the defect determination processing unit 340 accesses the battery performance management database 320 again, and the past abnormal performance history from the operation values stored as abnormal in the past in the battery performance management database 320. Generate a map. The specific configuration of the past abnormal performance history map is the same as the configuration shown in FIGS. 9 to 11, and thus the description thereof is omitted here.

  Then, the defect determination processing unit 340 compares the normal operation model value of the standard history map data with the operation value of the past abnormality history map for each process of each cell, and the difference is equal to or greater than a predetermined threshold value. It is determined whether or not there is.

  FIG. 13 is a diagram illustrating a state in which the standard history map data and the past abnormal performance history map are compared. As shown in FIG. 13, the failure determination processing unit 340 obtains the normal operation model value of the standard history map data shown in the upper part of FIG. 13 and the operation value of the past abnormal performance history map shown in the lower part of FIG. Each cell is compared for each process, and it is determined whether or not the difference is equal to or greater than the threshold value described above. Then, the defect determination processing unit 340 uses data (hereinafter referred to as an effective inspection) that is effective for determining what the difference is equal to or greater than the threshold value (that is, what has a higher degree of abnormality) as similarity. It is specified as an item.

  In the example shown in FIG. 13, similarly to the case where the normal operation value is generalized, when the unit cell ID is i and the process indicating the test or inspection is j, the unit cell ID is shown in the past abnormal performance history map. The operation value in the process j of the unit cell with i is generalized as M_failure (i, j).

  As described above, the effective inspection item identified by comparing the standard history map data and the past abnormal performance history map is generally when the threshold is Th1,

  Can be described as

  And the defect determination process part 340 will compare the past abnormal performance history map with a performance history map about the specified effective test item, will calculate the similarity for every module battery, and the similarity will be determined. It is determined whether (hereinafter referred to as module similarity) is equal to or greater than a predetermined threshold value. If the failure determination processing unit 340 determines that the module similarity is equal to or higher than the threshold value, the defect determination processing unit 340 further calculates the similarity for each unit cell, and the similarity (hereinafter referred to as unit cell similarity). It is determined whether or not a predetermined threshold value is exceeded. The defect determination processing unit 340 outputs a diagnosis result indicating that the module battery or the single battery is likely to be abnormal when it is determined that the module similarity or the single battery similarity is equal to or higher than the threshold value.

  FIG. 14 is a diagram illustrating a state in which the past abnormal performance history map and the performance history map are compared. As shown in FIG. 14, the defect determination processing unit 340 includes an effective inspection item among the operating values of the performance history map shown in the upper part of FIG. 14 and the operating values of the past abnormal performance history map shown in the lower part of FIG. 14. For each cell that has been determined to be, each cell is compared for each process, and it is determined whether or not the difference is equal to or greater than the threshold value described above. In the example shown in FIG. 14, similarly to the case where the normal operation value is generalized, when the unit cell ID is i and the process indicating the test or inspection is j, the unit cell ID is i in the performance history map. The operation value in the process j of the unit cell is generalized as M (i, j).

As described above, the similarity determination performed by comparing the performance history map and the past abnormal performance history map is performed by setting the module similarity to R _M and the cell similarity to R _c, and the cell ID in the performance history map. Is i and the cell ID in the past abnormal performance history map is i ′,

  Can be described as Subsequently, returning to FIG. 1, the diagnosis result creation unit 350 will be described.

  The diagnosis result creation unit 350 outputs, for example, a detailed diagnosis result (maintenance diagnosis result) indicating, for example, the life of the module battery or which single cell is diagnosed as abnormal in accordance with the diagnosis result output by the failure determination processing unit 340. To do. By outputting such maintenance diagnosis results, for example, formulating specific countermeasures (whether new inspection is necessary, etc.) for testing and inspection of module batteries and single cells, or manufacturing Can do.

  The communication unit 360 includes a communication device having a NIC (Network Interface Card), for example, and transmits the above-described diagnosis result and determination result to the charging station 200 or receives operation data from the charging station 200.

  Next, the charging process performed in the lithium ion battery diagnostic system 1000 will be described. FIG. 15 is a flowchart of the charging process performed in the lithium ion battery diagnostic system 1000. In the following, it is assumed that the operator starts charging the module battery by the charging mechanism 220 of the charging station 200.

  As shown in FIG. 15, when the charging mechanism 220 of the charging station 200 starts the charging / discharging process for the module battery and the process ends (step S1501), the communication unit 230 uses the operation data as the lithium ion battery diagnostic device. It transmits to 300 (step S1502).

  When the communication unit 360 of the lithium ion battery diagnostic apparatus 300 receives the operation data, the operation information collection processing unit 330 refers to the voltage value and the charging time included in the operation data to determine whether the module battery is abnormal. If it is determined that the module battery is abnormal (step S1503; Yes), the communication unit 360 transmits the determination result to the charging station (step S1504) and displays the charging station 200. Unit 210 displays the determination result (step S1505).

  On the other hand, when the operation information collection processing unit 330 determines that the module battery is not abnormal (step S1503; No), the failure determination processing unit 340 uses the inspection / test history map data (performance history map) for the battery module. A similarity calculation process is performed to calculate the similarity between the generated performance history map and the past abnormal performance history map (step S1508).

  FIG. 16 is a flowchart showing the processing procedure of the similarity calculation processing. As shown in FIG. 16, the failure determination processing unit 340 first accesses the battery performance management database 320 to acquire a normal operation model value, generates a past normal performance history map, and then generates standard history map data. (Step S1601).

  Then, the failure determination processing unit 340 accesses the battery performance management database 320 again, generates a past abnormal performance history map (step S1602), and has performed the following processing (similarity determination) for all defective module batteries. It is determined whether or not (step S1603).

  The defect determination processing unit 340 compares the normal operation model value of the standard history map data with the operation value of the past abnormal performance history map, determines an effective inspection item (step S1604), and sets a module for the effective inspection item. It is determined whether or not the similarity is equal to or higher than a predetermined threshold (step S1605). If it is determined that the module similarity is equal to or higher than the threshold, the similarity for each unit cell is further calculated. Then, it is determined whether or not the unit cell similarity is greater than or equal to a predetermined threshold (step S1606), and the process returns to step S1603.

  In step S1603, when similarity determination is performed for all defective module batteries (step S1603; Yes), the similarity calculation process illustrated in FIG. 16 ends. Next, returning to FIG. 15, the process of step S1507 will be described.

  The failure determination unit 340 determines whether the module similarity or the cell similarity is within a threshold (step S1509), and determines that the module similarity or the cell similarity is not within a threshold. The process is terminated as it is.

  On the other hand, when the failure determination unit 340 determines that the module similarity or the cell similarity is not within the threshold value (step S1509; No), the communication unit 360 transmits the diagnosis result to the charging station 200 (step S1510). The display unit 210 of the charging station 200 displays the diagnosis result (that is, the module battery to be replaced) (step S1511). When the process of step S1511 ends, all the processes shown in FIG. 15 end.

  When the failure determination unit 340 outputs the above-described diagnosis result, the diagnosis result creation unit 350 outputs a maintenance diagnosis result indicating the life of the module battery and which single cell is diagnosed as abnormal.

  As described above, the lithium ion battery diagnostic device 300 for diagnosing a module battery is used to test or inspect the battery performance management storage database 320 for a single battery, a module battery, a single battery, or a material constituting the module battery before shipment. Manufacturing information showing results, module battery that is a good product out of manufacturing information, single battery, normal operation model value determined based on manufacturing information of material, and single battery, module battery, single battery or module battery after shipment The operation data indicating the result of the test or inspection of the constituent material is stored for each material, for each single cell, and for each module battery, and the manufacturing information collection processing unit 310 supplies the manufacturing information to the battery manufacturing line 100 for manufacturing the module battery. To obtain normal operating model values based on the collected manufacturing information Information and the normal operation model value are stored in the battery performance management storage database 320, and the operation information collection processing unit 330 receives the operation data from the charging station 200 connected to the lithium ion battery diagnostic apparatus 300 when the module battery is charged / discharged. Based on the received operation data, it is determined whether or not the module battery is abnormal, and the module battery operation data determined to be abnormal is stored in the battery performance management storage database 320. When the operation information collection processing unit 330 receives the operation data, the failure determination processing unit 340 is abnormal in the normal operation model value, operation data, and operation information collection processing unit 330 stored in the battery performance management storage database 320. Based on the operation data of the module battery determined to be, operation data and operation The degree of similarity between the operation data of the module battery determined to be abnormal by the information collection processing unit 330 is determined, and the operation data is similar to the operation data of the module battery determined to be abnormal by the operation information collection processing unit 330 If it is determined that the two are similar to each other, a diagnosis result indicating that the two are similar is output, and the communication unit 360 transmits the diagnosis result to the charging station 200 or receives operation data from the charging station 200 to perform charging. In the station 200, the charging mechanism 220 receives charging / discharging of the module battery, acquires operation data from the module battery, and the communication unit 230 transmits the operation data acquired by the charging mechanism 220 to the lithium ion battery diagnostic device 300. Alternatively, since the diagnosis result is received from the lithium ion battery diagnosis device 300, it is possible to keep the environment in use and at the time of use. Therefore, it is possible to diagnose the performance of the battery in consideration of the environment.

  It should be noted that the present invention is not limited to the above-described embodiment as it is, and can be embodied by modifying the constituent elements without departing from the scope of the invention in the implementation stage. In addition, various inventions can be formed by appropriately combining a plurality of constituent elements disclosed in the above embodiments. For example, some components may be deleted from all the components shown in the embodiment. Furthermore, constituent elements over different embodiments may be appropriately combined.

1000 Lithium-ion battery diagnostic system 100 Battery production line 200 Charging station 300 Lithium-ion battery diagnostic device 110 Material inspection process 120 Electrode manufacturing process 130 Cell assembly process 140 Cell inspection process 150 Module assembly process 160 Module inspection process 210 Display unit 220 Charging Mechanism 230 Communication unit (charging station)
310 Manufacturing information collection processing unit 320 Battery performance management database 330 Operation information collection processing unit 340 Defect determination processing unit 350 Diagnosis result creation unit 360 Communication unit (lithium ion battery diagnostic device)
N network.

Claims (6)

A lithium ion battery diagnostic system for diagnosing a module battery composed of a plurality of single cells for storing electric power,
Normal operation model information determined based on manufacturing information that is a non-defective product out of manufacturing information indicating a result of the test or inspection of the unit cell and the module battery before shipment, and the unit cell and the module battery after shipment Battery performance management storage unit for storing the operation information indicating the result of the test or inspection of each cell and each module battery,
A manufacturing information collection processing unit that acquires the normal operation model information based on the manufacturing information collected from a manufacturing apparatus that manufactures the module battery, and stores the acquired normal operation model information in the battery performance management storage unit;
When charging / discharging the module battery, it is determined whether the module battery is abnormal based on the operation information received from a charging device connected to a diagnostic device that diagnoses the module battery. An operation information collection processing unit for storing the operation information of the module battery determined to be abnormal in the battery performance management storage unit;
When the operation information collection processing unit receives the operation information, the normal performance model information stored in the battery performance management storage unit, the operation information, and the operation information collection processing unit are determined to be abnormal. And determining the similarity between the operation information and the operation information of the module battery determined to be abnormal by the operation information collection processing unit based on the operation information of the module battery. When the operation information collection processing unit determines that the operation information of the module battery determined to be abnormal is similar, a failure determination processing unit outputs a diagnosis result indicating that both are similar When,
A lithium-ion battery diagnostic system comprising: The defect determination processing unit determines an inspection item that is effective for determining the similarity based on the normal operation model information and the operation information.
The lithium ion battery diagnostic system according to claim 1. The defect determination processing unit determines the similarity of the module battery by performing pattern matching for each step indicating a test or inspection for each material, the single battery, and the module battery that constitutes the module battery. judge,
The lithium ion battery diagnostic system according to claim 1 or 2, wherein When it is determined that the operation information of the module battery is similar, the defect determination processing unit further determines the similarity of the operation information of the unit cell,
The lithium ion battery diagnostic system according to claim 3. The failure determination processing unit, for the operation information of the module battery, in which all the operation information collection processing units have determined that the similarity is abnormal among the operation information stored in the battery performance management storage unit. judge,
The lithium ion battery diagnostic system according to any one of claims 1 to 4, wherein: A lithium ion battery diagnostic method performed in a lithium ion battery diagnostic system for diagnosing a module battery composed of a plurality of single batteries that store electric power,
The normal operation model information determined based on the manufacturing information of the module battery and the unit cell, which are non-defective products, is obtained from the manufacturing information indicating the result of the test or inspection of the unit cell and the module battery before shipment. Manufacturing information collection processing step for storing the normal operation model information in the battery performance management storage unit for each unit cell and each module battery,
Based on the operation information indicating the result of the test or the inspection of the module battery after the shipment received from the charging device connected to the diagnostic device for diagnosing the module battery at the time of charging and discharging the module battery, It is determined whether or not the module battery is abnormal, and the operation information of the module battery determined to be abnormal is stored in the battery performance management storage unit for each unit cell and each module battery. Operation information collection processing step,
In the operation information collection processing step, when the operation information is received, the normal operation model information stored in the battery performance management storage unit, the operation information, and the operation information collection processing step are abnormal. Based on the determined operation information of the module battery, a determination is made of a similarity between the operation information and the operation information of the module battery determined to be abnormal in the operation information collection processing step. And a failure determination process for outputting a diagnosis result indicating that both are similar when it is determined that the operation information of the module battery determined to be abnormal in the operation information collection process step is similar Steps,
A method for diagnosing a lithium ion battery, comprising:

Images