JP3525544B2 - Vehicle air conditioning controller - Google Patents

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a vehicle air conditioning control device for automatically controlling air conditioning in a vehicle compartment, and more particularly to a vehicle air conditioning control device for obtaining a control characteristic adapted to a sensory characteristic of an occupant. It is a thing.

[0002]

2. Description of the Related Art Conventionally, a vehicle air-conditioning control device called a so-called auto air conditioner calculates an optimum blowout temperature according to a signal obtained from a sensor for detecting a thermal environment such as a room temperature sensor and an outside air temperature sensor, and outputs the blowout temperature. The air-conditioning air is blown into the vehicle compartment with a predetermined control characteristic based on the value of. In the thermal environment, the amount of solar radiation penetrates through the window as radiant heat and reaches the skin surface directly, so even if the temperature inside the vehicle is moderate, it feels hot when the amount of solar radiation is high. Therefore, it is common to correct the control characteristics of an auto air conditioner according to the amount of solar radiation.

The conventional vehicle air conditioning control device as described above is controlled according to the flow chart shown in FIG. First, in step S1801, initial setting (constant setting) is executed, then in step S1802, thermal environment information and switch state from each sensor are input, and in step S1803, the output amount to each actuator is determined. The target blowout temperature Tof, which is the total heat load calculation amount that is the basic parameter of, is calculated by the following equation. That is, Tof = A × Tinc + B × Tamb + C × Qsun +
It is calculated by D × Tptc + E (AE: constant).

Next, after calculating the air mix door opening corresponding to the obtained Tof (S1804) and determining the outlet mode (S1805), the intake door opening is determined (S1).
806), the blower fan air volume is determined (S1807),
Output control to each actuator is performed (S1808). Here, for the reason described above, in addition to the set temperature, the room temperature, and the outside air temperature, the above expression includes a term for correcting the target outlet temperature according to the amount of solar radiation, that is, C × Qsun.

However, there are individual differences in the sense of the amount of solar radiation, and the occupants who react sensitively according to the increase or decrease in the amount of solar radiation to control the set temperature and air volume and those who do not have a uniquely determined amount of solar radiation. The amount of correction was sometimes unsatisfactory or, on the contrary, perceived as excessive.

Therefore, in the "vehicle air conditioner" disclosed in Japanese Patent Application Laid-Open No. 5-147421, the reference temperature Tptc (S) and the target set temperature Tptc are set when the set temperature is set. Difference ΔTptc is calculated, and ΔTpc is calculated.
The regression equation, that is, ΔTptc = a × ST + b, is obtained by averaging the mutual relationship between tc and the solar radiation amount ST, and the average temperature difference ΔTptc (AVE) due to the solar radiation amount ST obtained from the regression formula is calculated from Tptc in the above equation. By subtracting, the control is changed to the control that reflects the occupant's preference for the amount of insolation, the number of change operations of the set temperature (target set temperature difference setting frequency) is reduced, and the operation efficiency is improved. .

[0007]

However, according to the above-mentioned conventional air-conditioning control device, when the accumulated data is small because the number of times of use is small, some of the coefficients of the averaged regression equation are accidental. However, if the result is used as it is for the next control, the value may not match the sensory characteristics of the occupant. In addition, when the change amount of the stored solar radiation is small, the coefficient of the regression equation becomes large even with a small operation width, so when the solar radiation becomes a large amount of solar radiation that has never been experienced before. There was a possibility of making an unusually large correction.

A detailed description will be given below. For example, use
Data from twice from the beginning to the present are accumulated, and the solar radiation S
The stored value of T and the set temperature ΔTptc is 100 W for the first time.
/ M ², 2.0 ℃, 150W / m for the second time², 3.0 ° C
It is assumed that In this case, the amount of solar radiation and the average setting
The temperature regression equation is ΔTptc (AVE) = 0.02 × ST Becomes Here, the amount of solar radiation to be used next is 800 W / m²
If so, ΔTptc (AVE) = 8.0 ° C.
That is a very large correction.

Therefore, the reference temperature Tptc (S) is set to 2
Assuming 5.0 ° C, the set temperature after correction is 1
The temperature becomes 7.0 ° C, which is a set temperature that most passengers do not set. Since the occupant is not accustomed to the vehicle immediately after the start of use, the operation amount may not be constant even with the same amount of solar radiation, and such an example may sufficiently occur. In such a case, the operation amount will be increased.

In the vehicle air conditioner according to the present invention, the control characteristics can be modified as the number of times of use increases so that the sensory characteristics of the occupant differing with respect to the amount of solar radiation. It is intended to correct the control characteristics so as to accurately match the sensory characteristics of the occupant without causing an increase in the operation amount, even in the case where the limit is limited.

[0011]

In order to achieve the above object, as shown in FIG. 1, in a vehicle air conditioning control device according to a first aspect, a heat load detection for detecting a heat load in a passenger compartment is performed. Means CL1, a manual setting means CL2 for setting a target environmental condition in the vehicle interior, a heat load adjusting means CL3 for adjusting a heat load in the vehicle interior, a target by signals from the heat load detecting means CL1 and the means setting means CL2. Calculate the outlet temperature,
Control means CL4 for controlling the heat load adjusting means CL3
And a storage means CL5 for storing the target environmental condition by the manual setting means CL2 and the heat load at that time, and a correction means CL6 for correcting the control characteristic of the control means CL4 according to the stored value by the storage means CL5. In the provided vehicle air conditioning control device, the correction means CL6 is used as means CL for calculating a history of a plurality of input heat loads and target environmental conditions.
7 and a means CL8 for modifying a control characteristic for determining the control characteristic determined from the correlation between the heat load and the target environmental condition, and modifying the calculation expression according to the history.
The means CL8 is the heat stored in the storage means CL5.
If the distribution of load history is larger than the specified value,
Characteristics, the target environmental conditions are the target variables, and the heat load is
Corrected based on the regression equation used as an explanatory variable,
If the variance of the history is smaller than the specified value, the target environment
Corrected based on the average value of the conditions and the ratio of the heat load
Is.

Further, in the vehicular air-conditioning control device according to the second aspect, the means CL7 for calculating the history calculates the dispersion between the plurality of input heat loads and the target environmental conditions.

Further, in the vehicle air-conditioning control device according to the third aspect, a means C for correcting the arithmetic expression according to the history.
L8 sets a predetermined upper limit value or lower limit value to the calculated value.

Further, in the vehicle air conditioning control device according to the fourth aspect, the amount of solar radiation is used as the heat load stored in the storage means CL5, and the set temperature or the set air amount is used as the target environmental condition. is there.

Further, in the vehicle air conditioning control device according to the fifth aspect, means C for correcting the arithmetic expression according to the history.
L8 is the heat load stored in the storage means CL5.
When the difference between the maximum value and the minimum value of the history is larger than the specified value
Is the control characteristic, the target environmental condition is a target variable,
Corrected based on the regression equation with heat load as an explanatory variable,
The difference between the maximum value and the minimum value of the thermal load history is smaller than the specified value.
If not, the average of the ratio of the target environmental conditions and the heat load
It is corrected based on the value.

[0016]

[0017]

The vehicle air-conditioning control device according to the present invention (claim 1) calculates the history of a plurality of input heat loads and the target environmental conditions, and determines the control characteristics determined from the correlation between the heat loads and the target environmental conditions. Since the calculation formula to be determined is modified according to the calculated history, even when the number of times of use is small and the usage environment is limited, the control characteristics can be accurately adjusted to the occupant's sensory characteristics with a small amount of operation. Can be corrected to The heat load stored in the storage means CL5
If the history distribution is larger than the specified value, the control characteristic is
Regression with target environmental conditions as objective variables and heat load as explanatory variables
Corrected based on the formula, the dispersion of the history of heat load is more than the specified value.
If it is smaller, the average value of the ratio of target environmental conditions and heat load
Since it is corrected based on the
Is calculated to have an abnormal ratio of operating conditions to the thermal environment.
Will not be lost.

Further, since the vehicular air-conditioning control device according to the present invention (claim 2) calculates the dispersion of the plurality of input heat loads and the target environmental conditions, it is possible to accurately match the sensory characteristics of the occupant. Various calculations are possible.

Further, since the vehicular air-conditioning control device according to the present invention (claim 3) sets a predetermined upper limit value or a lower limit value to the calculation value when the calculation formula is modified according to the history, It is possible to prevent the width of the control characteristic correction value in an unexperienced environment from becoming abnormally large.

Further, since the vehicle air conditioning control device according to the present invention (claim 4) uses the amount of solar radiation as the heat load stored in the storage means CL5 and uses the set temperature or the set air amount as the target environmental condition, It is possible to accurately correct the occupant's operation pattern with respect to the amount of solar radiation.

Further, the vehicle air-conditioning control device according to the present invention (claim 5) has a thermal load as a condition for correcting the arithmetic expression.
Since the difference between the maximum and minimum values of history is used, the calculation is easier
You can modify the formula.

[0022]

[0023]

【Example】

[Embodiment 1] (Schematic Configuration of Vehicle Air Conditioning Control Device) Hereinafter, an embodiment of a vehicle air conditioning control device according to the present invention will be described in detail with reference to the drawings. First, the first embodiment will be described.

FIG. 2 is an explanatory view showing a schematic structure of a vehicle air conditioner. (1) The air conditioning mechanism (corresponding to the heat load adjusting means CL3 in the claims), the main body 1, the blower unit 2 and the cooling unit. The unit 3 is constituted by the heater unit 4, and (2) controller (control means CL4 in the claims, storage means CL5, correction means CL6, means CL7 for calculating history, means for correcting an arithmetic expression according to history CL8) 30 controls.
Here, the characteristic of the present embodiment is that the controller 30
Is a means CL7 for calculating a history and a means CL8 for correcting an arithmetic expression according to the history. CL
Reference numeral 7 is a calculation of a history of a plurality of input heat loads and target environmental conditions, and CL8 is a calculation for determining the control characteristic of the control means CL4 which is determined from the correlation between the heat load and the target environmental conditions according to the calculated history. It modifies the formula.

(1) Air Conditioning Mechanism The blower unit blower unit 2 is formed with an outside air introduction port 5 and an inside air introduction port 6, and an intake door 7 for opening and closing both the introduction ports 5 and 6, and the intake door. An actuator 8 for rotating the fan 7, a blower fan 9 for generating conditioned air, and a blower fan motor 10 for rotating the fan 9 are arranged.

Cooling unit An evaporator 11 is arranged in the cooling unit 3, and a low temperature refrigerant from an expansion valve connected to a refrigeration cycle is supplied to the evaporator 11 via a pipe 12 to cool the conditioned air, and then the refrigerant returns to the compressor.

Heater Unit The heater unit 4 is provided with an air mix door 13 pivotally provided with an actuator 14 for rotating the air mix door 13 and the heater core 1
5 are provided. Cooling water, which is hot water for a vehicle engine (not shown), is supplied to and circulated through the heater core 15 through a pipe 27 to heat the conditioned air passing through the heater core 15. A defroster duct 16, a vent duct 17, and a foot duct 18 communicate with the downstream end of the heater unit 4, and opening / closing doors 19, 20, 21 are pivotally supported at the base ends of the ducts 16, 17, 18, respectively. Further, actuators 22, 23, 24 for each opening / closing door are arranged. A vent grill 25 is provided at an end of the vent duct 17, and a louver fin 26 that sets a desired wind direction is provided.

(2) Controller An air conditioner is provided with a controller 30 for controlling the intake mode, the air volume, the blowing mode and the temperature of the air conditioning, and for automatically controlling the room temperature, the outlet mode described later, the inside / outside air introduction switching mode, and the air volume setting. Switch 31, learning mode switch 32 that learns each setting of the occupant, corrects the control characteristics, and executes automatic control, compressor ON / OFF
Switch 33 (31, 32, 33 correspond to the manual setting means CL2 in the claims, and the history of the occupant's operation state set via these switches is stored), and the thermal environment of the vehicle is measured. A room temperature sensor 34, an outside air temperature sensor 35, and a solar radiation amount sensor 36 (34, 35, 36 correspond to the heat load detecting means CL1 in the claims) are provided.

Further, the room temperature setting device 37 for making the desired setting by the occupant, the air flow rate setting device 38, the inside / outside air introduction changeover switch 39 for changing the introduction of the conditioned air into the room and / or the outside, and when the conditioned air is blown into the room, Vent blowout mode that blows near the front passenger's chest, foot blowout mode that blows near the front passenger's foot, and bi-level blowout mode that blows from both of them, to eliminate fog on the front window of the vehicle The output values of the front defroster switch 41 and the rear defroster switch 42 (37 to 42 correspond to the manual setting means CL2 in the claims) for removing the window fog on the vehicle rear window are input, and after the arithmetic processing, Actuator 8 is instructed to open or close to set intake mode. A voltage is output to the blower fan motor 10 as an air volume setting, an opening / closing instruction is given to each of the door actuators 22, 23, 24 as an outlet moat, and an opening degree instruction is given to the air mix door actuator 14 as an outlet temperature control. . Reference numeral 43 denotes an air conditioning display unit, which is a target room temperature, an outlet mode, a rear defroster,
The air volume is displayed.

The room temperature sensor 34 detects the current ambient temperature in the passenger compartment as the detected room temperature Tic,
The controller 30 determines the amount of electricity according to the detected room temperature Tic.
Output to. Further, the outside air temperature sensor 35 detects the current ambient temperature outside the vehicle compartment as a detected room temperature Tamb, and outputs an amount of electricity corresponding to the detected room temperature Tamb to the controller 30. Further, the solar radiation sensor 36 supplies the controller 3 with an electric quantity corresponding to the received solar radiation Qsun.
Output for 0.

(Basic Operation of Embodiment 1) The operation of the vehicle air conditioning control device having the above-described configuration will be described with reference to the flow charts shown in FIGS. FIG. 3 is a flowchart showing a basic operation for controlling the vehicle air conditioner according to this embodiment. First, when the auto air conditioner switch 31 which is the start-up switch of the air conditioner 1 is pressed, the process proceeds to step S201, and a predetermined constant and occupant setting change information used for calculation of each step described later are stored in the control device body. Read from the built-in memory (initialization process).

In step S202, it is determined whether or not the use of the air conditioner 1 is finished by pressing the end switch or by turning off the ignition key of the vehicle engine (not shown). To step S
After the learning process of 209 is executed, a waiting state for activation is entered.
By this learning process, the history of the operation state set by the occupant's manual setting means CL2 is stored in the storage means CL5 together with the thermal environment amount detected by the heat load detecting means CL1. On the contrary, if it is determined in step S202 that the use has not ended, steps S203-
Each process of S208 is executed.

In step S203, the output signal from each sensor as the thermal environment information detecting means, the room temperature set by the occupant, and the state of each switch are read (data input processing).
In step S204, the opening X of the air mix door that controls the amount of cool air passing through the heater core after passing through the evaporator is obtained (air mix opening processing). Here, the target blowout temperature Tof required to reach the set room temperature under the current heat load state is obtained, and the air mix opening X for making the blowout temperature Tof is calculated.

Subsequently, in steps S205 and S206, the optimum outlet mode and the state of the suction port are determined for the target outlet temperature Tof during the automatic control, and if the manual selection is made, the selected outlet is selected. Fix the outlet mode and suction port status (blowout port mode processing / suction port processing).
Further, in step S207, the blower fan applied voltage is automatically set according to the control characteristic or set to a voltage fixed by the air volume setting means (air volume processing). Then, in step S208, step S20
After outputting a control signal to each actuator so that the control amount calculated in 5 to S207 (output processing),
Each process of steps S202 to S208 is repeated until it returns to step S202 and it is judged that use is completed. Less than,
Details of each step will be described.

(Initialization processing) FIG. 4 shows step S in FIG.
It is a flowchart which shows the detailed operation | movement of the initialization process shown in 201. Here, first, in step S301, constants A to E used in the target outlet temperature Tof calculation of the air mix opening process of step S203, constants F, G, H used in the air mix opening calculation, and the outlet mode of step S204. Constants I to L required for determination, constants M to Q required for determination of the suction port mode in step S205, step S
Each constant of R to U required for determining the blower fan voltage of 206 is set.

Subsequently, in step S302, which is one of the characteristic parts of this embodiment, the solar radiation correlation function α (Tamb) and the solar radiation correction limit value Qlim (Tamb) used in the air mix opening processing of FIG. Read from operation information memory. α (Tamb) is a function obtained by changing the setting change rate of the passenger's set room temperature with respect to the change in the amount of solar radiation according to the outside air temperature, and is calculated in a learning process described later each time one use is completed. Further, Qlim (Tamb) is the maximum amount of solar radiation used in calculating α (Tamb) at each outside temperature, and is determined in the learning process like α (Tamb).

(Data Input Processing) FIG. 5 is a flow chart showing the detailed operation of the data input processing shown in step S203 of FIG. Here, the input signal from each sensor and the setting state of the manual setting switches are input and set to the corresponding variables. In step S401, the detected room temperature is Tic and the detected outside air temperature is Tam.
b, the amount of detected solar radiation is Qsun, and the passenger's set room temperature is Tpt
c, manually set the blower fan voltage setting value to Vfan, m
To the inlet mode to select the inlet mode, the selected state of the inside / outside air introduction changeover switch to switch between the inside air and the outside air of the introduced air, the auto air conditioner switch that is the main switch of the air conditioner, learning Enter each state of the mode switch.

In step S402, the average amount of solar radiation Qm used as the amount of solar radiation in the post-processing is calculated. This is to prevent the control from becoming unstable due to changes in the amount of solar radiation in a short time due to the influence of shadows or tunnels while driving, and to perform a certain delay process on the detected amount of solar radiation. . Here, the average solar radiation amount Qm is calculated by subjecting the solar radiation sensor value to a primary delay process of about 1 minute. However,
Here, the delay processing is not limited to this, and for example, an arithmetic average value or an integrated average value of the solar radiation sensor values for 1 minute may be used.

In step S403, it is determined whether or not the learning mode switch is in the pressed learning mode. If the learning mode is selected, the process proceeds to step S404 and the subsequent steps. If the learning mode is not selected, the process directly returns to the main routine. . In step S404, the difference between the room temperature and the set room temperature is within the predetermined temperature difference, and it is determined whether or not the room temperature is stable. If the room temperature is stable, the processing from step S405 is executed, and conversely, the room temperature is stable. If not, the process returns to the main flow.

In step S405, it is determined whether or not the set room temperature has been changed, and if it is changed, step S405 is performed.
If there is no change, the process proceeds to step S408. In step S406, it is determined whether or not a sufficient time has passed after the change and the setting has stabilized to a constant value, and if it has converged, step S407.
On the other hand, if not converged, the process proceeds to step S408 without executing any processing.

In step S407, the change time of the set room temperature shown in FIG. 16 (elapsed time from the start of use of the air conditioner), the set room temperature after the change, and the changed room temperature are used as the change information of the set room temperature used in the learning process described later. The amount of solar radiation is stored in the setting information storage buffer and the process proceeds to step S408. In step S408, it is determined whether the elapsed time from the start of use is a multiple of the specified time t0. If it is a multiple, the process proceeds to step S409. Conversely, if it is not a multiple, the process returns to the main flow. Here, a relatively long time of about 10 minutes is used as the value of t0. In step S409, the setting temperature and the average solar radiation amount are stored in the setting information storage buffer as the setting information used in the learning process described later, and the process returns to the main flow.

(Air Mix Opening Process) FIG. 6 is a flow chart showing the detailed operation of the air mix opening process shown in step S204 of FIG. Here, first,
In step S501, it is determined whether or not the learning mode is set. If the learning mode is set, the process proceeds to step S502, and if the learning mode is not set, the process proceeds to step S507. In step S502, the solar radiation amount Qm is the solar radiation correction limit amount Qlim.
It is determined whether or not (Tamb) is exceeded (Qm> Ql
im (Tamb)), if not exceeded, step S
If 503 is exceeded, the process proceeds to step S504.

In steps S503 and S504, the solar radiation correction amount at the set room temperature is calculated by the following equations. That is, Tptc, new = α (Tamb) × Qm (S503) Tptc, new = α (Tamb) × Qlim (Tamb) (S504)

Here, α (Tamb) is the correlation function read by the initialization processing shown in FIG.
It is the increment of the set temperature with respect to m, and is determined by the learning process described later. Since this α (Tamb) is determined from the operating characteristics of each occupant, it is a parameter including the occupant's sensory characteristics with respect to the occupant's average insolation Qm. Therefore, Tptc and new are correction amounts of the passenger's favorite set temperature with respect to the average amount of solar radiation. In addition, Qlim (Ta
mb) is the maximum amount of solar radiation in the data obtained by calculating α (Tamb), and is a value close to the maximum value of the amount of solar radiation that has been experienced up to now. In step S504, Qlim (Ta
By limiting Qm to mb), the correction amount Tpt
It is possible to prevent c and new from greatly exceeding the setting change range executed by the occupant in the past, and prevent the correction from being disliked.

In step S505, step S50
3, first-order lag processing of the set temperatures Tptc, new obtained in S504 is executed. That is, this is a process for preventing a sudden change in control when the outside air temperature Tamb fluctuates due to the influence of disturbance such as noise and the values of Tptc and new change stepwise. Set temperature Tp one cycle before
Tptc 'is determined by the following equation using tc, old and Tptc, new calculated this time. That is, Tptc ′ = Tptc + w × Tptc, old + (1-
w) × Tptc, new where w is a default value that satisfies 0 <w <1. Determined by

In step S506, the Tpt obtained this time is calculated.
In order to use c, new in the next cycle, Tptc, o
Set as ld. In step S507, since the learning mode is not set, the currently set temperature is set as it is as Tptc '.

In step S508, step S504
The target outlet temperature Tof is determined by using the set room temperature Tptc ′ determined in the above and each sensor value. That is, Tof = A × Tptc ′ + B × Tamb + C × Qsun
Determined by + D × Tic + E. Here, since Tptc 'is a value that takes into consideration the preference of the set temperature for the amount of solar radiation of each occupant,
The target outlet temperature Tof is also corrected to reflect the occupant's preference for solar radiation.

In step S509, the target outlet temperature Tof
Calculate the air mix door opening X required to blow out the air. That is, it is calculated by X = F × Tof ² + G × Tof + H.

(Blowout Port Mode Processing) FIG. 7 is a flowchart showing the detailed operation of the blowout port mode processing shown in step S205 of FIG. In step S601, an outlet is selected using a predetermined outlet mode map according to the target outlet temperature Tof. Here, the balloon states in each mode are shown below. That is, vent mode: blows out only from the ventilator grill located on the instrument panel. Bi-level mode: blow out from both the ventilator grille and the foot outlet. Foot mode: It blows out from the foot outlet and the defroster outlet that opens to the upper surface of the instrument and blows to the inner surface of the front window. There is.

Next, in step S602, it is determined whether or not the outlet mode is fixed by a manual switch, and if it is fixed, steps S603 to S60.
6 corresponding to the outlet mode (vent mode /
High level mode / foot mode / defroster mode)
Select.

(Suction Port Processing) FIG. 8 shows step S in FIG.
It is a flowchart which shows the detailed operation | movement of the suction inlet process shown in 206. Here, first, in step S701,
The state of the suction port is selected using a predetermined suction port map according to the target outlet temperature Tof. Here, the selected states are REC: 100% inside air circulation 20% FRE: 20% outside air introduction, 80% inside air circulation FRE: 100% outside air introduction.

In step S702, it is determined whether or not the outlet mode is fixed by the manual switch. If the outlet mode is fixed, the corresponding suction ports (outside air introduction / inside air introduction) are opened in steps S703 and 704. select.

(Air Volume Processing) FIG. 9 shows step S2 of FIG.
It is a flowchart which shows the detailed operation | movement of the air volume process shown in 07. Here, first, in step S801, the blower fan applied voltage Vfan is selected using a predetermined blower fan voltage map according to the target blowout temperature Tof. Next, in step S802, it is determined whether or not the blower fan voltage is fixed by the manual switch, and if it is fixed, the output value Vfan 'to the blower fan motor is selected in step S803 as the selected voltage Vfan. , M, and if not fixed, Vfan ′ is set to the blower fan voltage Vfan determined in step S801 in step S804.

(Output Processing) FIG. 10 shows step S of FIG.
It is a flow chart which shows detailed operation of output processing shown in 208. Here, first, in step S901, the air mix door, the outlet mode door, and the inlet mode door are set so that the air mix opening X, the outlet mode, and the inlet set in steps S203, S204, and S205 are set. Output a drive signal to each actuator. Next, in step S902, a drive signal is output to the blower fan motor so that the blower fan voltage Vfan 'set in step S206 is obtained.

FIG. 11 is a flow chart showing the detailed operation of the learning process shown in step S209 of FIG.
Here, first, in step S1001, the data of the amount of solar radiation stored in the setting information storage buffer and the set room temperature in the same outside temperature class are averaged in this time, and the outside temperature storage class corresponding to the solar radiation correlation storage memory is averaged. It is stored as the history data in. Here, FIG. 20 shows a storage form of the solar radiation correlation storage memory. It has a storage area for a solar radiation correlation value α and a solar radiation limit value Qlim, which will be described later, according to each outside air temperature storage class, and a storage area for a history of solar radiation amount and set temperature. That is, the history of the operation state set by the manual setting means CL2 is sequentially stored in the operation information storage means 3 together with the thermal environment amount detected by the heat load detection means CL1 when the setting is performed, and the learning process is executed. Go.

Next, the following steps S1002 to S10
05 is one of the features of this embodiment. That is, in step S1002, the variances Var and sun of the historical data of the solar radiation amount Qsun of the same outside temperature storage class in the solar radiation correlation storage memory are calculated. Next, step S10
In 03, the values of Var and sun are the default values Var and sun.
Whether it is greater than 0 (Var, sun> Var, sun
0) is judged, and if larger, to step S1004,
If not, the process proceeds to step S1005.

In step S1004, the following regression equation for obtaining the set room temperature Tptcm from the solar radiation amount Qsun is calculated by the least squares method using the historical data of the same outside temperature class of the solar radiation correlation storage memory. The equation at that time is Tptcm = α × Qsun + Tptcm0. That is, based on the history of the correlation between the operation state stored in the storage means CL5 and the thermal environment amount detected by the heat load detection means CL1, the control characteristic correction amount (for example, set room temperature) of the control means CL4 is corrected by the correction means CL6. It is a calculation.

In step S1005, the average value of the ratio of the amount of solar radiation to the set room temperature is calculated using history data of the same outside temperature class of the solar radiation correlation memory and is set to α. That is, it is calculated by the following formula 1.

[0059]

[Equation 1]

In step S1006, it is determined whether or not the value of α obtained in steps S1004 and S1005 is a negative value (α <0).
08, on the contrary, if it is not a negative value, step S1
In 007, α is set to 0 (α = 0), and step S1
Move to 008. That is, here, it is checked whether or not the stored setting characteristics of the occupant are consistent with the increasing / decreasing direction of the solar radiation, and it is determined that the setting temperature is raised even if the solar radiation is increasing. If so, this is canceled.

In step S1008, the value of α is stored in the corresponding outside air temperature class of the solar radiation correlation memory. In step S1009, the maximum value is searched from the insolation history in the corresponding outside temperature class of the insolation correlation memory, and this maximum value is stored in the corresponding outside temperature class as Qlim. Thereafter, in step S1010, it is determined whether or not all updated outside air temperature classes have been processed. If it is determined that all updated outside air temperature classes have not been processed, the process returns to step S1002, and all outside air temperatures are returned. The processes of steps S1002 to S1009 are repeated until it is determined that the class has been processed. On the contrary, when it is determined that all outside temperature classes have been processed, the process returns to the main flow.

Next, referring to FIG. 12 to FIG.
The operation of the flowchart shown in FIG. 1, that is, the operation of the correction means CL6, which is a characteristic part of the present invention, will be described in detail.
That is, CL7 of the correction means CL6 is equal to the storage means CL5.
The history of the heat load and the target environmental condition stored in is calculated, and the CL8 modifies the calculation formula for determining the control characteristic determined from the correlation between the heat load and the target environmental condition according to the calculated history. It is a thing.

First, in step S1002, the case where it is determined that the distribution of the amount of solar radiation stored in the solar radiation correlation storage memory is large is shown in FIG. 12 in which the amount of solar radiation stored in the stored history data and the set temperature are plotted. This is the case when the distribution is large. That is, when the amount of solar radiation is plotted on the horizontal axis and the set temperature is plotted on the vertical axis, there is a wide distribution in the horizontal axis direction, and there is experience in using any solar radiation zone.

In this case, as shown in FIG. 12, a regression equation in which the amount of solar radiation is the explanatory variable and the set temperature is the target variable is obtained, and the correlation of the setting change due to the change of the amount of solar radiation is calculated to obtain the occupant. The operation tendency of can be grasped. This regression equation, that is, the regression coefficient α of Tptc = α × Qsun + Tptcm0 is regarded as the sensory characteristic of the occupant with respect to the solar radiation amount, and α × Qs is set as the correction amount of the set temperature from the next control.
Use un.

Here, normally, the occupant's operation tends to lower the set temperature as the amount of solar radiation increases as shown in FIG. 12, so α is a negative value in the increasing / decreasing direction of Qsun and Tptc in this embodiment. Is the natural operating characteristic. Therefore, if the value of α becomes a positive value as a result of the statistical processing, it is an unnatural operation characteristic.

On the other hand, in step S1002, when it is determined that the variance of the amount of solar radiation stored in the solar radiation correlation storage memory is small, the history data is shown in FIG. 13 in comparison with that shown in FIG. This is the case when the historical data is concentrated in a certain range of the solar radiation range and the historical data is not distributed over a wide range of the solar radiation range, as shown in the distribution. That is, in the case where the solar radiation amount band of the use environment is concentrated in a part, and in such a case, the regression equation similar to that of FIG.
There is a high possibility that the value of × Qsun will be an abnormal value that is difficult to set in practice. Therefore, in this case, a reference temperature is provided as the set temperature, and the average value of the ratio of the difference between this temperature and the set temperature history and the amount of solar radiation is set as α. After that, in the control from the next time onward, α × Qsun is used as the solar radiation correction amount. By doing so, it becomes possible to always keep the solar radiation correction value within an appropriate range after the next use, especially when used in the solar radiation area smaller than the history data.

However, by simply changing the method for calculating the solar radiation coefficient of the solar radiation correction amount due to the distribution of the solar radiation amount history data as described above, especially when the next solar radiation amount is larger than the previous solar radiation amount, the correction is performed. The width may become too large. For example, assume that an occupant who was mainly used at night or in the evening uses it for the first time in the daytime. In this case, it is assumed that the amount of solar radiation in the history data is in the range of 0 to 100 w / m ² and the calculated solar radiation correction coefficient α is α = −0.01. If the amount of solar radiation for the next use is 100 w / m ² , the amount of solar radiation correction is -1.0 ° C, but 700
When it becomes w / m ² , the amount of solar radiation correction becomes −7.0 ° C.

Therefore, in step S1009, the maximum value of the solar radiation history data is searched, and this maximum value is stored as the solar radiation amount Qlim for limiting the solar radiation correction for the next and subsequent times. Then, steps S502 to S50 shown in FIG.
As shown in the flowchart of FIG. 4, after the next control, the correction value at the solar radiation amount of the limit value Qlim or more is α ×.
Limited to Qlim. This is illustrated in FIG. 14, and even in the high solar radiation area, the correction amount is limited to the set temperature correction amount corresponding to the maximum amount of solar radiation in the usage environment until then, and the correction amount becomes difficult to set. There is no such thing. Also,
The setting when restricted using the solar radiation correction value restricted in this way is also processed in the learning process at that time,
Since it will be stored as history data, the solar radiation limit value will be updated sequentially from the next time.

(Effect of Embodiment 1) According to Embodiment 1, the history of the set room temperature set by the occupant's manual setting means is stored together with the amount of solar radiation at the time of setting, and the stored set room temperature and solar radiation are stored. When calculating the set room temperature correction value from the history of the amount correlation, if the magnitude of the variance of the history of solar radiation is small, use the average of the difference from the reference value of the set room temperature and the ratio of solar radiation instead of the regression equation. Therefore, even if the amount of history data during learning is small, the control correction value during re-control rarely exceeds the control range. In addition, when the control characteristic correction amount is used during re-control, the correction amount is limited to the control characteristic correction amount corresponding to the maximum value of the solar radiation history, so even if the number of times of use is small and the environment of use is limited, the occupant will actually Since the set value does not deviate significantly, it becomes possible to incorporate the operation change characteristics of the occupant into the control quickly and accurately.

[Second Embodiment] (Characteristics of Second Embodiment) Next, with respect to the second embodiment, only parts different from the first embodiment will be described, and description of the other parts will be omitted. The second embodiment is step S1101 in FIG.
As shown in, in the learning process, the data stored in the storage buffer is not averaged at the time of use, and all the data is stored in the corresponding outside air temperature class of the solar radiation correlation memory as it is, which is different from the first embodiment. Is.

(Effect of Embodiment 2) According to Embodiment 2, 1
The number of history data stored by the use is increased, the number of times until it is determined that the variance is large in the subsequent step S1103 and the process proceeds to step S1104 can be shortened, and the learning process converges quickly.

[Third Embodiment] (Characteristics of Third Embodiment) Next, with respect to the third embodiment, only parts different from the first embodiment will be described, and description of other parts will be omitted. In the third embodiment, as shown in FIG. 16, in the learning process, the portion that used the variance of the solar radiation amount history in the first embodiment is replaced with the maximum value Qsun, max of the solar radiation amount history as shown in steps S1202 and S1203. , Minimum difference Qsun, min difference, that is, Qsun, max-Qsum, min> Var, sun
It is replaced with 0.

(Effect of Third Embodiment) According to the third embodiment, it is not necessary to obtain the variance, and in step S1209, Q
Since it is only necessary to store Qsun, max as lim as it is, the calculation load is reduced.

[Fourth Embodiment] (Characteristics of Fourth Embodiment) Next, with respect to the fourth embodiment, only parts different from the first embodiment will be described, and description of other parts will be omitted. In the fourth embodiment, the change characteristic of the air flow rate setting is learned in addition to the change characteristic of the set room temperature with respect to the change in the solar radiation amount of the first embodiment.

That is, the parts different from the first embodiment will be sequentially described. First, in the initialization process, as shown in FIG. 17, in step S1302, the solar radiation correlation function α (Tamb) of the first embodiment and the set solar radiation limit value Qlim are set. (Tamb)
In addition to the same set solar radiation correlation function α (Tamb) and set solar radiation limit value Qlim (Tamb), the air flow solar radiation correlation function β
(Tamb), airflow limit value of solar radiation Qlim, fan (Ta
mb) is set. β (Tamb), Qlim, fa
n (Tamb) is a correction function for the set room temperature α
(Tamb), Qlim (Tamb) is a correlation for applying the same action to the air volume.

Next, in the data input process, as shown in FIG. 18, the blower fan air flow rate setting value is added to the value stored in the setting information storage buffer as the operation information of the occupant in the processing from step S1405. However, as the air volume setting value, the fan air volume output value Vf that is actually output
The integrated average value ΔVfanm of the difference between an ′ and the automatic control reference fan voltage Vfan based on the air flow rate control characteristic set for automatic control at the time of factory shipment is used (step S140).
8).

Thereafter, in the air volume processing, as shown in FIG. 19, in steps S1504 to S1509, the first embodiment is performed.
6 in the air mix door opening process of FIG.
The processing of 501 to S506 is applied to the air volume.

Further, in the learning processing, as shown in FIGS. 20 and 21, the same processing as the processing for the set solar radiation correlation value α and the set solar radiation limit value Qlim in steps S1601 to S1610 is performed in steps S1611 to S1620. The airflow solar radiation correlation value β and the airflow solar radiation limit values Qlim and fan are calculated and stored in the setting information storage buffer.

(Effect of Embodiment 4) According to Embodiment 4, even in an environment where the number of times of use is small and the amount of solar radiation is uneven, the occupant is changed according to the change in the amount of solar radiation with the set temperature. The characteristics can be learned with high precision, and it becomes possible to respond to individual differences in the balance between the set room temperature and the air volume. Therefore, the rate of decrease of the air volume changing operation amount can be accelerated with the set room temperature.

[0080]

The vehicle air-conditioning control device according to the present invention (claim 1) calculates the history of a plurality of input heat loads and target environmental conditions, and determines from the correlation between the heat loads and the target environmental conditions. Since the calculation formula that determines the characteristics is modified according to the calculated history, even if the usage frequency is small and the usage environment is limited, the control characteristics can be accurately adjusted to the sensory characteristics of the occupant with a small amount of operation. It can be corrected to fit well. In addition, the thermal load shoes stored in the storage means
If the variance of the history is larger than the specified value, the control characteristics are
Regression equation with standard environment conditions as objective variables and heat load as explanatory variables
The heat load history variance is smaller than the specified value.
In the case of
Since the correction is made based on
If the ratio of operating condition to thermal environment is calculated to be an abnormal value.
Disappears.

Further, since the vehicle air-conditioning control device according to the present invention (claim 2) calculates the variance between the plurality of input heat loads and the target environmental conditions, it can be accurately adapted to the occupant's sensory characteristics. Therefore, the control characteristics can be corrected in this way.

Further, since the vehicle air conditioning control device according to the present invention (claim 3) sets a predetermined upper limit value or lower limit value to the calculated value when correcting the calculated expression according to the history, It is possible to prevent the width of the control characteristic correction value in an unexperienced environment from becoming abnormally large.

Further, since the vehicle air conditioning control device according to the present invention (claim 4) uses the amount of solar radiation as the heat load stored in the storage means CL5 and uses the set temperature or the set air amount as the target environmental condition, It is possible to accurately correct the occupant's operation pattern with respect to the amount of solar radiation.

Further, in the vehicle air conditioning control device according to the present invention (claim 5), the condition of the thermal load is set as the condition for the correction of the arithmetic expression.
Calculated more easily because the difference between the maximum and minimum values of history is used
You can modify the formula.

[0085]

[Brief description of drawings]

FIG. 1 is a block diagram (corresponding to a claim) showing a schematic configuration of a vehicle air conditioning control device according to the present invention.

FIG. 2 is an explanatory diagram showing a schematic configuration of a vehicle air conditioner according to the present invention.

FIG. 3 is a flowchart showing a basic operation of the vehicle air conditioning control device according to the first embodiment.

4 is a flowchart showing the operation of the initialization process shown in FIG.

5 is a flowchart showing the operation of the data input process shown in FIG.

FIG. 6 is a flowchart showing an operation of air mix opening processing shown in FIG.

FIG. 7 is a flowchart showing the operation of the outlet mode processing shown in FIG.

8 is a flowchart showing the operation of the suction port process shown in FIG.

9 is a flowchart showing the operation of the air volume processing shown in FIG.

10 is a flowchart showing the operation of the output processing shown in FIG.

11 is a flowchart showing the operation of the learning process shown in FIG.

FIG. 12 is a graph showing the relationship between the set room temperature and the amount of solar radiation according to the first embodiment.

FIG. 13 is a graph showing the relationship between the set room temperature and the amount of solar radiation according to the first embodiment.

FIG. 14 is a graph showing the relationship between the set room temperature and the amount of solar radiation according to the first embodiment.

FIG. 15 is a flowchart showing an operation of learning processing according to the second embodiment.

FIG. 16 is a flowchart showing an operation of learning processing according to the third embodiment.

FIG. 17 is a flowchart showing the operation of the initialization processing according to the fourth embodiment.

FIG. 18 is a flowchart illustrating an operation of data input processing according to the fourth embodiment.

FIG. 19 is a flowchart showing an operation of air volume processing according to the fourth embodiment.

FIG. 20 is a flowchart showing an operation of learning processing according to the fourth embodiment.

FIG. 21 is a flowchart showing the operation of learning processing according to the fourth embodiment.

FIG. 22 is a table showing a storage form of a solar radiation correlation storage memory.

FIG. 23 is a flowchart showing a basic operation of a conventional vehicle air conditioning control device.

[Explanation of symbols]

CL1 heat load detection means CL2 Manual setting means CL3 heat load adjustment means CL4 control means CL5 storage means CL6 correction means CL7 history calculation means CL8 Means for modifying arithmetic expression according to history

Claims (5)

(57) [Claims] 1. A heat load detecting means for detecting a heat load in a vehicle compartment, a manual setting means for setting a target environmental condition in the vehicle compartment, a heat load adjusting means for adjusting a heat load in the vehicle compartment, and the heat load. A target blowout temperature is calculated by a signal from the detection means and the means setting means, a control means for controlling the heat load adjusting means, a storage means for storing the target environmental condition by the manual setting means and the heat load at that time, In a vehicular air-conditioning control device including a correction unit that corrects the control characteristic of the control unit according to the stored value by the storage unit, the correction unit is configured to display a history of a plurality of input heat loads and target environmental conditions means for calculating, the operation expression for determining the control characteristics determined by the correlation between the heat load and the target environmental conditions formed by the means for modifying in accordance with the history, means for modifying an arithmetic expression according to the history The storage hand
The variance of the heat load history stored in the column is greater than the specified value.
If it is, check the control characteristics and the target environmental conditions.
Based on the regression equation using the dynamic variables and the heat load as explanatory variables
If the variance of the heat load history is smaller than the specified value,
In the case of the average value of the ratio of the target environmental conditions and the heat load,
A vehicle air-conditioning control device that is modified based on the above . 2. The vehicle air-conditioning control device according to claim 1, wherein the means for calculating the history calculates a variance between a plurality of input heat loads and a target environmental condition. 3. The vehicular air-conditioning control device according to claim 1, wherein the means for modifying the arithmetic expression according to the history sets a predetermined upper limit value or a lower limit value for the calculated value. 4. The amount of solar radiation is used as the heat load stored in the storage means, and the set temperature or the set air flow is used as the target environmental condition.
The vehicle air conditioning control device described. 5. A heat load detector for detecting a heat load in a vehicle compartment.
A step, a manual setting means for setting a target environmental condition in the vehicle compartment, a heat load adjusting means for adjusting a heat load in the vehicle interior, and a signal from the heat load detecting means and the means setting means.
Controls the heat load adjusting means by calculating the temperature of the target air blow.
Control means, the target environmental conditions by the manual setting means and the heat load at that time.
Storage means for storing a load, and control of the control means according to the stored value by the storage means
Vehicular air-conditioning control device including correction means for correcting characteristics
In the above, the correction means calculates the history of the plurality of input heat loads and the target environmental conditions.
And the control characteristics determined by the correlation between the heat load and the target environmental conditions.
The calculation formula to be decided is formed by means of modifying the formula according to the history.
Forms, means for modifying an arithmetic expression according to the history, the storage Hand
The difference between the maximum and minimum values of the heat load history stored in the column
Is greater than a predetermined value, the control characteristic is
A cycle in which the standard environmental condition is the objective variable and the heat load is the explanatory variable.
Corrected based on the formula, the maximum and
If the difference between the small values is smaller than the specified value,
To correct based on the average value of the heat load ratio
A characteristic vehicle air-conditioning control device.