JPH0632135A - Vehicle air conditioner - Google Patents

Abstract

PURPOSE:To adjust width of control responsiveness according to conditions even if heat load quantity is all the same. CONSTITUTION:In a vehicle air conditioner to control a control apparatus such as an air mix door or a fan according to an operation result obtained by carrying out operation on a comprehensive signal corresponding to a vehicle inside heat load, fuzzy inference (step 102) is carried out on gain K of the comprehensive signal while using preset temperature Tset, vehicle inside temperature Tr, temperature deviation E and a rate of change DELTA E of the temperature deviation as input parameters. Next, operation (step 103) is carried out on the comprehensive signal Xm corresponding to the vehicle inside heat load according Xm=K (A. Tset-B. Tr-C. Ta-D. Qsun+F) (wherein, K is gain, and A-D are constants, and F is a correction term.) obtained by using the gain K obtained by carrying out the fuzzy inference previously as a factor while using the preset temperature Tset, the vehicle inside temperature Tr, outside air temperature Ta and quantity of solar radiation Qsun as input parameters, and the air mix door or the fan and so on are controlled (step 104 and 105) according to the computed comprehensive signal Xm.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention calculates a total signal corresponding to a heat load inside a vehicle on the basis of a set temperature, a temperature inside the vehicle, an outside air temperature and an amount of solar radiation, and based on the calculated total signal, an air mix door and a blower The present invention relates to a vehicle air conditioner configured to control each control device such as.

[0002]

2. Description of the Related Art In an automatic air conditioner for a vehicle, a sensor detects a heat load inside the vehicle, and air conditioning control is executed based on the detected value. For example, in the air conditioner described in Japanese Patent Application No. 2-126625, a total signal corresponding to the heat load inside the vehicle is calculated based on the set temperature, the temperature inside the vehicle, the outside air temperature, and the amount of solar radiation, and the calculated total signal. It controls each control device such as the air mix door and blower based on.

As an arithmetic expression of the total signal in this case, for example, the following expression Xm = K (A.Tset-B.Tr-C.Ta-D.Qsu
n + F) (where Tset is the set temperature, Tr is the temperature inside the vehicle, Ta is the outside air temperature, Qsun is the amount of solar radiation, K is the gain, A to D are constants,
F is a correction term).

Conventionally, the gain K of the total signal expressed by the above equation is not particularly taken into consideration, and the calculation is performed with a constant value, that is, "1", and the control is executed.

[0005]

As described above, since the gain K of the total signal is conventionally set to "1", the responsiveness of the temperature control (after detecting the thermal load, the actual thermal load It is not possible to have a wide range in the control response time until the temperature approaches zero, and for example, in the transitional period when the deviation between the set temperature and the vehicle interior temperature is large (the deviation eventually decreases as air conditioning continues. However, in the transition period until that time), the response of the temperature control was inferior.

The present invention has been made in view of the above circumstances, and an object of the present invention is to provide an air conditioning system for a vehicle capable of adjusting the width of control response.

[0007]

As shown in FIG. 1, a vehicle air conditioner of the present invention includes a temperature setter 1 for inputting a set temperature Tset and an in-vehicle temperature sensor 2 for detecting an in-vehicle temperature Tr.
An outside air temperature sensor 3 for detecting an outside air temperature Ta, an insolation sensor 4 for detecting an insolation amount Qsun, and the set temperature Tse.
Temperature deviation calculation means 5 for calculating the temperature deviation E between t and the vehicle interior temperature Tr, temperature deviation change rate calculation means 6 for calculating the change rate ΔE of the temperature deviation E, and these calculation means 5, 6 Gain inference means 7 which fuzzy infers the gain K based on the temperature deviation E, the temperature deviation change rate ΔE, and a predetermined rule, and the set temperature Tset, the vehicle interior temperature Tr, the outside air temperature Ta, and the insolation Qsun. As an input variable
The following equation Xm = K (A.Tset-B.Tr-C.Ta-D.Qsu) with the gain K that is fuzzy inferred by the gain inference means 7 as a coefficient
n + F) (where K is a gain, A to D are constants, and E is a correction term), the total signal calculation means 8 for calculating the total signal Xm corresponding to the thermal load in the vehicle, and the calculation by the means 7 It is characterized by comprising a control amount calculation means 10 for calculating the control amount of the control device 9 based on the comprehensive signal Xm, and a control means 11 for controlling the control device 9 based on the output of the means 10.

[0008]

In the vehicle air conditioner of the present invention, the temperature deviation and the deviation change rate are used as input values for fuzzy inference to determine the gain K of the total signal according to the deviation state. Therefore, the control pattern of the control device changes according to the state of the deviation, and a difference appears in the responsiveness of the control device. Therefore, during a transitional period when the difference between the set temperature and the vehicle interior temperature is large, it is possible to temporarily increase the air conditioning capacity.

Here, the gain inference means 7 uses the temperature deviation E.
And the temperature deviation change rate ΔE, the total signal gain K
Fuzzy reasoning. That is, in this case, the antecedent parameter (input) of the fuzzy inference is the temperature deviation E and the temperature deviation change rate ΔE, and the consequent parameter (output) is the gain K.

The fuzzy inference outputs an inference result according to a fuzzy rule determined based on an empirical rule or the like. The procedure of the method is as follows, for example.

First, according to each fuzzy rule expressed in the form of IF (preceding part) to THEN (consequent part), grades of parameters E and ΔE ( It is also called the degree of belonging to the fuzzy label, the degree of conformity, or the membership value)
Ask for. Then take the minimum of both grades. This process is called antecedent process.

Next, as a consequent process, the output side membership function is truncated at the grade (that is, a limit is added) at the grade and the trapezoidal output obtained by the trimming is ORed. To do. Next, the center of gravity of the trapezoidal portions obtained by logically summing is obtained, and the position of the center of gravity is used as the inference result, that is, the gain K which is the final output.

This inference method is disclosed, for example, in Japanese Patent Laid-Open No. 2-927.
This is a method known in Japanese Patent Laid-Open No. 63-63. Other inference methods may be adopted separately.

[0014]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An embodiment of the present invention will be described below with reference to the drawings. FIG. 2 is a schematic diagram showing the overall configuration of the air conditioner of the embodiment. In this figure, reference numeral 20 is a ventilation duct, and an inside air intake 22 which is switched by an intake door 21 is provided at an upstream end of the ventilation duct 20.
And an outside air intake 23, and a VENT outlet 25, a DEF outlet 26, and a FOOT outlet 27, which are switched by the outlet doors 24a and 24b, are provided at the downstream end.

A blower fan 28, an evaporator 29, an air mix door 30, and a heater 31 are provided in the middle of the ventilation duct 20 in order from the upstream side to the downstream side. By controlling the opening (position) of the air mix door 30, the mixing ratio of the cold air and the warm air is adjusted to adjust the temperature of the air blown into the vehicle.

Reference numeral 32 is an intake door actuator, 33 is a compressor that constitutes a cooling system together with an evaporator, 34 is an air mix door actuator, 35 is a heater water valve, and 36 is a mode door actuator.

The actuators are controlled by the control unit 40. Control unit 4
Reference numeral 0 is mainly composed of a microcomputer, and based on input information from at least the temperature setter 1, the vehicle interior temperature sensor 2, the outside air temperature sensor 3, and the solar radiation sensor 4, the air mix door 30, the blower fan 28, and the intake. Drive control of the door 21 and the mode doors 24a and 24b,
Further, the temperatures of the evaporator 29 and the heater 31 are controlled.

Next, an example of control operation of the microcomputer in the control unit 40 will be described.
The microcomputer repeatedly executes the main routine of the air conditioning control shown in FIG. 3 at a constant cycle (for example, a short cycle within 1 second).

When the processing of this main routine is started, in step 101, the detection signals of the respective sensors (the set temperature Tset input from the temperature setting device 1, the vehicle interior temperature Tr detected by the vehicle interior temperature sensor 2 and the outside air temperature sensor 3) are detected. Ambient temperature Ta detected by the solar radiation amount Qsun detected by the solar radiation sensor 4
) Is input to the microcomputer.

Next, at step 102, the gain K of the total signal to be calculated next is calculated. This calculation step 1
02 is defined by a subroutine whose details are shown in FIG. In the processing of the subroutine shown in FIG.
In step 1, the vehicle interior temperature Tr is subtracted from the set temperature Tset to obtain the temperature deviation E (= Tset-Tr), and then step 202
Then, the time change of the temperature deviation E, that is, the temperature deviation change rate ΔE is obtained.

Then, step 203 to step 205
Then, the temperature deviation E and the temperature deviation change rate ΔE are used as the antecedent parameters, and the gain K of the integrated signal is fuzzy inferred.

In this fuzzy inference, a fuzzy rule as shown in FIG. 6 is set based on the experience obtained from experience or experiments. The following is a textual description of some of the rules shown in the table.

(1) When the temperature inside the vehicle is extremely higher than the set temperature (E = NL) and the rate of temperature increase in the vehicle is very large (ΔE = PL), the gain K is made extremely large (K = PL). ). (2) When the temperature inside the vehicle is much higher than the set temperature and there is no change in the temperature inside the vehicle (ΔE = ZR), the gain K is set to the middle level (K = PM). (3) When there is no difference between the in-vehicle temperature and the set temperature (E = ZR) and there is no change in the in-vehicle temperature (ΔE = ZR), the gain K is reduced (K = PS). (4) The temperature inside the vehicle is very low compared to the set temperature (E = P
L) and when there is no change in the vehicle interior temperature (ΔE = ZR), the gain K is set to the middle level (K = PM). (5) The temperature inside the vehicle is very low compared to the set temperature (E = P
L) and the temperature drop rate inside the vehicle is very large (ΔE = N
L), the gain K is made very large (K = P
L).

Membership functions shown in FIGS. 7A to 7C are given for each of the parameters E, ΔE, and K. Where each code (fuzzy label)
Is used in the following sense. PL ... Large in positive direction PM ... Medium in positive direction PS ... Small in positive direction ZR ... Zero NS ... Small in negative direction NM ... Medium in negative direction NL ... Large in negative direction

In the fuzzy inference process, the gain K is inferred using the MIN-MAX rule known from Japanese Patent Laid-Open No. 2-92763 according to the above fuzzy rule.
First, in step 203, the antecedent parameter E, by the input side membership function for each rule,
The grade Wi of ΔE is obtained and the minimum value is taken. Next, in step 204, the output-side membership function is used to output Ki of the consequent part from the grade of each rule.
Ask for. Then, in step 205, the output of the consequent part obtained for each rule is ORed to obtain the center of gravity, and the position of the center of gravity is set as the final gain K.

After the inference, the process returns to the main routine and proceeds to step 103. Here, the following formula Xm = K (A · Tset−B · Tr−C · Ta−D · Qsu) using the fuzzy inference gain K is used.
n + F) (where K is a gain, A to D are constants, and E is a correction term), the total signal Xm corresponding to the thermal load in the vehicle is calculated.

When the total signal Xm is calculated, step 10
In step 4, air mix door control is performed, in step 105, fan control is performed, in step 106, mode door control is performed, in step 107, intake door control is performed, and in step 108, compressor control is performed.

In each of the control steps 104 to 108, the total signal Xm is directly or indirectly based on the total signal Xm.
The control amount of each element is calculated based on m. Here, the relationship between the total signal and the control amount is the ROM of the control unit.
The control signal is stored as a control pattern, and the control amount is taken out by giving an overall signal Xm as an address input of the ROM at any time. When the control amount is calculated, each control device, that is, the air mix door 3 is adjusted so that the calculated control amount is obtained.
0 and the fan 28 are controlled. Hereinafter, this is repeated.

Using FIG. 5, how the actual control amount changes when the gain K of the total signal is changed under certain conditions (temperature deviation and the same change rate) as described above. explain. FIG. 5 also shows the relationship between the total signal Xm and the fan air flow, and the relationship between the total signal Xm and the air mix door position. Based on the case where the gain K is “1”, when the gain is larger than “1”, the control amount changes rapidly. That is, even if the heat load amount detected by the sensor or the like is the same, when the gain is large, the control change becomes rapid and the responsiveness becomes high. On the contrary, when the gain K is smaller than "1", the change of the control amount becomes gentle and the responsiveness becomes gentle.

In the above embodiment, the inference rules and membership functions are merely examples, and it goes without saying that these may be changed appropriately.

[0031]

As described above, according to the present invention,
The gain of the total signal changes according to the deviation between the set temperature and the vehicle interior temperature and the rate of change of the deviation. Therefore, the control pattern of the control device changes according to the state of the same deviation, and thereby the responsiveness width of the control device is adjusted. Therefore, by setting the gain to be large during the transition period when the deviation between the set temperature and the vehicle interior temperature is large, it is possible to temporarily increase the air conditioning capacity during the transition period and improve the control response. it can. In addition, since the gain is determined by fuzzy inference, it is possible to easily select various control methods by creating a simple fuzzy rule, and to perform air conditioning control that better suits the human experience. It will be possible.

[Brief description of drawings]

FIG. 1 is a block diagram showing the gist of the present invention.

FIG. 2 is a block diagram showing a configuration of an exemplary embodiment of the present invention.

FIG. 3 is a flowchart showing a main routine of control operation of the embodiment.

FIG. 4 is a flowchart showing details of contents of step 102 in the main routine.

FIG. 5 is a characteristic diagram showing a difference in control content due to a difference in gain K in the example.

FIG. 6 is a diagram showing a fuzzy inference rule of a gain K in the example.

FIG. 7 shows a membership function used for fuzzy inference of a gain K in the example, (a) is a membership function of a temperature deviation E which is a parameter of an antecedent part, and (b) is temperature which is a parameter of an antecedent part. Membership function of deviation change rate ΔE, (c) is gain K which is a consequent part parameter
Is a membership function of.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 Temperature setter 2 Vehicle temperature sensor 3 Outside air temperature sensor 4 Solar radiation sensor 5 Temperature deviation calculation means 6 Temperature deviation change rate calculation means 7 Gain inference means 8 Total signal calculation means 9 Control equipment 10 Control amount calculation means 11 Control means 28 Fan ( Control equipment) 30 Air mix door (control equipment) 40 Control unit

Claims (1)

[Claims] 1. A temperature setter for inputting a set temperature Tset, an in-vehicle temperature sensor for detecting an in-vehicle temperature Tr, an outside air temperature sensor for detecting an outside air temperature Ta, a solar radiation sensor for detecting an insolation amount Qsun, and the setting. A temperature deviation calculation means for calculating a temperature deviation E between the temperature Tset and the vehicle interior temperature Tr, a temperature deviation change rate calculation means for calculating a change rate ΔE of the temperature deviation E calculated by the means, and a calculation by these calculation means. Gain inference means for fuzzy inferring the gain K based on the temperature deviation E, the temperature deviation change rate ΔE, and a predetermined rule, and the set temperature Tset, the vehicle interior temperature Tr, the outside air temperature Ta, and the insolation Qsun. The following expression Xm = K (A * Tset-B * Tr-C * Ta-D * Qsu) using the gain K fuzzyly inferred by the gain inference means as an input variable.
n + F) (where K is a gain, A to D are constants, and F is a correction term), a total signal calculation means for calculating a total signal Xm corresponding to the thermal load in the vehicle, and a total signal calculated by the means. An air conditioner for a vehicle, comprising: a control amount calculation means for calculating a control amount of a control device based on Xm; and a control means for controlling the control device based on an output of the control device.