A fuzzy control method and system for electronic water valve opening based on working condition prediction

Abstract

The present invention discloses a method and system for fuzzy control of an electronic water valve opening based on operating condition prediction, comprising: obtaining real-time vehicle operating data and real-time coolant temperature; determining the vehicle's current and previous operating conditions based on the vehicle's real-time operating data and a typical operating condition model, and predicting the vehicle's next operating condition; determining an optimal coolant temperature for the next operating condition; obtaining a variable temperature difference based on the current coolant temperature and the coolant temperature for the previous operating condition; obtaining a target temperature difference based on the optimal coolant temperature for the next operating condition and the current coolant temperature; determining a fuzzy membership function for the electronic water valve opening based on the variable temperature difference and the target temperature difference; and determining the optimal opening of the electronic water valve based on the determined fuzzy membership function for the electronic water valve opening. This achieves optimal opening control of the electronic water valve.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic water valve intelligent control, and in particular to a method and system for fuzzy control of the opening of an electronic water valve based on working condition prediction. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] As a core component of the automobile engine cooling system, the main function of the electronic water valve is to control the flow rate of coolant entering the radiator, thereby adjusting the coolant temperature and the engine operating temperature to ensure the normal operation of the engine.

[0004] According to the inventors, most current automotive engine cooling systems use traditional paraffin thermostats, which control the opening of the large and small circulation valves by utilizing the thermal expansion and contraction of paraffin. This suffers from response delays and hysteresis, making it difficult to precisely control the coolant temperature. While some engine models utilize electronic water valves with higher sensitivity, these valve openings are often controlled through conventional control, with a fixed opening within a certain range. This results in a lack of continuous control of the electronic water valve's opening. Newer control strategies incorporate fuzzy control, which achieves real-time continuous results to a certain extent. However, most employ fuzzy control strategies based on trigonometric functions, resulting in poor real-time tracking. Summary of the Invention

[0005] In order to solve the above problems, the present invention proposes a fuzzy control method and system for the opening of an electronic water valve based on working condition prediction, thereby realizing optimal opening control of the electronic water valve.

[0006] To achieve the above object, the present invention adopts the following technical solutions:

[0007] First, a fuzzy control method for the opening of an electronic water valve based on working condition prediction is proposed, including:

[0008] Obtain real-time vehicle operating data and coolant temperature;

[0009] Determine the vehicle's current and previous operating conditions based on the vehicle's real-time operating data and typical operating condition models, and predict the vehicle's next operating condition;

[0010] Determine the optimal coolant temperature for the next operating condition;

[0011] Obtaining a temperature difference according to the current temperature of the coolant and the coolant temperature of the previous operating condition;

[0012] Obtaining a target temperature difference based on an optimal coolant temperature for a next operating condition and a current coolant temperature;

[0013] According to the changing temperature difference and the target temperature difference, the fuzzy membership function of the electronic water valve opening is determined;

[0014] According to the determined fuzzy membership function of the electronic water valve opening, the optimal opening of the electronic water valve is determined.

[0015] Secondly, a fuzzy control system for the opening of an electronic water valve based on working condition prediction is proposed, including:

[0016] Data acquisition module, used to obtain real-time vehicle operation data and real-time coolant temperature;

[0017] An operating condition determination module is used to determine the current operating condition of the vehicle based on the vehicle's real-time operating data and a typical operating condition model, and to predict the vehicle's next operating condition;

[0018] Determine the optimal coolant temperature for the next operating condition;

[0019] A temperature difference acquisition module is used to obtain a temperature difference according to the current temperature of the coolant and the temperature of the coolant in the previous operating condition;

[0020] A target temperature difference acquisition module is used to obtain a target temperature difference based on the optimal coolant temperature of the next operating condition and the current temperature of the coolant;

[0021] The optimal opening determination module of the electronic water valve is used to determine the fuzzy membership function of the electronic water valve opening according to the changing temperature difference and the target temperature difference; and determine the optimal opening of the electronic water valve according to the determined fuzzy membership function of the electronic water valve opening.

[0022] In the third aspect, an electronic device is proposed, including a memory and a processor, and computer instructions stored in the memory and running on the processor. When the computer instructions are run by the processor, the steps described in a fuzzy control method for the opening of an electronic water valve based on working condition prediction are completed.

[0023] In a fourth aspect, a computer-readable storage medium is proposed for storing computer instructions. When the computer instructions are executed by a processor, the steps of a fuzzy control method for the opening of an electronic water valve based on working condition prediction are completed.

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] 1. When determining the optimal opening of the electronic water valve, the present invention determines the fuzzy membership function of the electronic water valve opening according to the coolant temperature difference and the target temperature difference. Then, the optimal opening of the electronic water valve is determined through the fuzzy membership function of the electronic water valve opening, thereby achieving optimal control of the electronic water valve opening, with the characteristics of fast response and excellent performance.

[0026] 2. When determining the optimal opening of the electronic water valve, the present invention takes into account the current temperature of the coolant, the changing temperature difference between the current coolant temperature and the coolant temperature of the previous operating condition, and the target temperature difference between the optimal coolant temperature of the next operating condition and the current coolant temperature. That is, the coolant temperatures of the current operating condition, the previous operating condition, and the next operating condition are comprehensively considered, thereby ensuring the accuracy of the optimal opening of the electronic water valve and achieving accurate control of the optimal opening of the electronic water valve.

[0027] Advantages of additional aspects of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The drawings in the specification, which constitute a part of this application, are used to provide further understanding of this application. The illustrative embodiments of this application and their descriptions are used to explain this application and do not constitute improper limitations on this application.

[0029] Figure 1 This is a flow chart of the method disclosed in Example 1. DETAILED DESCRIPTION

[0030] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0031] It should be noted that the following detailed descriptions are illustrative and intended to provide further explanation of the present application. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which the present application belongs.

[0032] Example 1

[0033] The electronic water valve uses a motor as an actuator and provides feedback through a potentiometer or Hall position to adjust the valve opening, control the flow of coolant entering the radiator, and achieve regulation of the coolant temperature and engine temperature. The valve opening is not affected by the coolant temperature and can be controlled to any opening by electronic control. In order to achieve optimal control of the electronic water valve opening, this embodiment discloses a fuzzy control method for the electronic water valve opening based on working condition prediction, such as Figure 1 As shown, including:

[0034] S1: Obtain the vehicle's real-time operating data and coolant real-time temperature.

[0035] During the operation of the vehicle, the real-time vehicle operation data and the real-time coolant temperature obtained are both time series data.

[0036] S2: Determine the current and previous operating conditions of the vehicle based on the real-time operating data of the vehicle and a typical operating condition model, and predict the next operating condition of the vehicle.

[0037] The process of building a typical operating condition model is as follows:

[0038] Obtain the vehicle's historical operating data and corresponding operating conditions;

[0039] Extract kinematic characteristic parameters from historical operation data;

[0040] The kinematic characteristic parameters of historical operating data are clustered to obtain a typical operating condition model.

[0041] During specific implementation, actual measured data of vehicle operating conditions is collected through autonomous driving method, and the actual measured data is historical operating data.

[0042] Pre-process the collected historical operation data to eliminate abnormal data caused by driving habits or bumps.

[0043] In order to ensure the accuracy of the construction of the typical operating condition model, kinematic characteristic parameters were extracted from the collected historical operating data, and each operating condition was described by the kinematic characteristic parameters. Among them, the kinematic characteristic parameters include: average vehicle speed, average acceleration, deceleration ratio and uniform speed ratio, etc.; the vehicle's operating conditions can be divided into four operating conditions according to the short-stroke method: idle mode, acceleration mode, uniform speed mode and deceleration mode.

[0044] The principal component method is used to reduce the dimension of the kinematic characteristic parameters, and the K-means algorithm is used to perform cluster analysis on the kinematic characteristic parameters. Based on the clustering results, a typical operating condition model of the vehicle is constructed.

[0045] The vehicle operating data obtained in this embodiment includes the operating conditions of the vehicle. Therefore, the current operating conditions of the vehicle can be directly determined through the current operating data of the vehicle, and the operating conditions of the vehicle before the current can be directly determined through the operating data of the vehicle before the current.

[0046] Kinematic characteristic parameters are extracted from the current operating data and the operating data before the current one respectively, and the distance between the kinematic characteristic parameters and the cluster center of each operating condition in the typical operating condition model is calculated. The typical operating condition to which the current operating condition and the current operating condition belong is determined based on the distance; the typical operating condition at the next moment of the typical operating condition segment to which the current operating condition and the current operating condition belong is used as the predicted next operating condition of the vehicle.

[0047] Specifically, the operating condition in the typical operating condition model with the smallest distance is selected as the typical operating condition to which the current operating condition or the operating condition before the current one belongs.

[0048] S3: Determine the optimal coolant temperature for the next operating condition.

[0049] Specifically:

[0050] Determine the load data of the next operating condition according to the next operating condition;

[0051] The optimal coolant temperature for the next operating condition is determined based on the load data for the next operating condition.

[0052] During specific implementation, the optimal coolant temperature for the next operating condition is determined by looking up a table.

[0053] S4: Obtaining a change temperature difference based on the current temperature of the coolant and the coolant temperature of the previous operating condition.

[0054] Subtract the coolant temperature of the previous operating condition from the current coolant temperature to obtain the temperature difference. The specific formula is:

[0055] ΔT1=T act -T pas

[0056] Among them, ΔT1 is the temperature difference, T act is the current temperature of the coolant, T pas It is the coolant temperature of the last operating condition.

[0057] S5: Obtain a target temperature difference based on the optimal coolant temperature for the next operating condition and the current temperature of the coolant.

[0058] Subtract the current coolant temperature from the optimal coolant temperature for the next operating condition to obtain the target temperature difference. The specific formula is:

[0059] ΔT2=T bas -T act

[0060] Where ΔT2 is the target temperature difference, T bas It is the optimal coolant temperature for the next operating condition.

[0061] S6: determining a fuzzy membership function of the electronic water valve opening according to the changed temperature difference and the target temperature difference; and determining an optimal opening of the electronic water valve according to the determined fuzzy membership function of the electronic water valve opening.

[0062] In a specific implementation, when the current temperature of the coolant is lower than the first temperature setting value, the optimal opening of the electronic water valve is fully closed;

[0063] When the current temperature of the coolant is greater than the second temperature setting value, the optimal opening of the electronic water valve is fully open;

[0064] When the current temperature of the coolant is greater than or equal to the first temperature setting value and less than or equal to the second temperature setting value, the fuzzy membership function of the electronic water valve opening is determined based on the changing temperature difference and the target temperature difference, and the optimal opening of the electronic water valve is determined based on the determined fuzzy membership function of the electronic water valve opening.

[0065] The PWM wave is determined based on the obtained optimal opening of the electronic water valve, that is, a series of pulses with equal amplitudes and different widths. The width of each pulse is modulated according to a certain rule, so as to control the valve opening of the electronic water valve to the optimal opening of the electronic water valve.

[0066] Preferably, the first temperature setting value is 75°C and the second temperature setting value is 90°C, that is, if the current temperature of the coolant is lower than 75°C, the valve of the electronic water valve is controlled to be fully closed; if the current temperature of the coolant is higher than 90°C, the valve of the electronic water valve is controlled to be fully open; if the current temperature of the coolant is between 75-90°C, the fuzzy membership function of the electronic water valve opening is determined according to the changing temperature difference and the target temperature difference, and the current temperature of the coolant, the changing temperature difference and the target temperature difference are substituted into the determined fuzzy membership function of the electronic water valve opening to calculate the optimal opening of the electronic water valve at this time. At this optimal opening, the engine can operate at the optimal operating temperature, thereby improving the efficiency of the engine and reducing the energy consumption and exhaust emissions of the engine.

[0067] In this embodiment, the two temperature differences, the changing temperature difference and the target temperature difference, are fuzzified to obtain five different fuzzy membership functions of the electronic water valve opening, specifically:

[0068] When the changing temperature difference ΔT1 is greater than or equal to the rising temperature difference limit value A1, and the absolute value of the target temperature difference ΔT2 is greater than or equal to the target temperature difference limit value B, that is, ΔT1 ≥ A1, |ΔT2| ≥ B, it indicates that the changing temperature difference of the coolant between the current operating condition and the previous operating condition is large and shows a rising trend, and the target temperature difference is large. At this time, the fuzzy membership function curve of the electronic water valve valve opening conforms to the skewed distribution of the changing temperature difference. The fuzzy membership function of the electronic water valve valve opening is:

[0069]

[0070] When the temperature difference ΔT1 is less than or equal to the falling temperature difference limit value A2, and the absolute value of the target temperature difference ΔT2 is greater than or equal to the target temperature difference limit value B, that is, ΔT1≤A2, |ΔT2|≥B, it indicates that the temperature difference of the coolant between the current operating condition and the previous operating condition is large and shows a cooling trend, and the target temperature difference is large. At this time, the fuzzy membership function curve of the electronic water valve valve opening conforms to the skewed distribution of the temperature difference. The fuzzy membership function of the electronic water valve valve opening is:

[0071]

[0072] When the changing temperature difference ΔT1 is greater than or equal to the rising temperature difference limit value A1, and the absolute value of the target temperature difference ΔT2 is less than the target temperature difference limit value B, that is, ΔT1 ≥ A1, |ΔT2| < B, it indicates that the changing temperature difference of the coolant between the current operating condition and the previous operating condition is large and shows a rising trend, and the target temperature difference is small. At this time, the fuzzy membership function curve of the electronic water valve valve opening conforms to the skewed distribution of the changing temperature difference. The fuzzy membership function of the electronic water valve valve opening is:

[0073]

[0074] When the changing temperature difference ΔT1 is less than or equal to the falling temperature difference limit value A2, and the absolute value of the target temperature difference ΔT2 is less than the target temperature difference limit value B, that is, ΔT1≤A2, |ΔT2|<B, it indicates that the changing temperature difference of the coolant between the current operating condition and the previous operating condition is large and shows a cooling trend, and the target temperature difference is small. At this time, the fuzzy membership function curve of the electronic water valve valve opening conforms to the skewed distribution of the changing temperature difference. The fuzzy membership function of the electronic water valve valve opening is:

[0075]

[0076] When the absolute value of the temperature difference ΔT1 is less than the rising temperature difference limit A1, that is, |ΔT1| < A1, it indicates that the temperature difference of the coolant between the current operating condition and the previous operating condition is small. At this time, the fuzzy membership function curve of the electronic water valve opening conforms to the normal distribution of the temperature difference. The fuzzy membership function of the electronic water valve opening is:

[0077]

[0078] Among them, f(T act ,ΔT1,ΔT2) represents the optimal opening of the electronic water valve, and its value range is [0, 1]. If f(T act ,ΔT1,ΔT2)>1, then take f(Tact ,ΔT1,ΔT2) value is equal to 1, that is, the valve of the electronic water valve is fully open.

[0079] A rule base for fuzzy control of electronic water valve opening is constructed through five fuzzy membership functions of electronic water valve opening. When the current temperature of the coolant is greater than or equal to the first temperature setting value and less than or equal to the second temperature setting value, the corresponding fuzzy membership function of the electronic water valve opening is selected from the rule base for fuzzy control of electronic water valve opening according to the changing temperature difference and the target temperature difference. The optimal opening of the electronic water valve is calculated based on the changing temperature difference, the target temperature difference and the selected fuzzy membership function of the electronic water valve opening.

[0080] Preferably, the rising temperature difference limit value A1 is 0.5°C, the target temperature difference limit value B is 1°C, and the falling temperature difference limit value A2 is -0.5°C.

[0081] The method disclosed in this embodiment constructs a rule base for fuzzy control of the opening of an electronic water valve for different varying temperature differences and target temperature differences. When determining the optimal opening of the electronic water valve, a corresponding fuzzy membership function of the electronic water valve opening is determined from the rule base for fuzzy control of the opening of the electronic water valve based on the varying temperature difference and the target temperature difference. The optimal opening of the electronic water valve is determined by using the fuzzy membership function of the electronic water valve opening, which enables the engine to operate at the optimal operating temperature, thereby improving the efficiency of the engine and reducing the energy consumption and exhaust emissions of the engine.

[0082] Example 2

[0083] In this embodiment, a fuzzy control system for electronic water valve opening based on working condition prediction is disclosed, comprising:

[0084] Data acquisition module, used to obtain real-time vehicle operation data and real-time coolant temperature;

[0085] An operating condition determination module is used to determine the current operating condition of the vehicle based on the vehicle's real-time operating data and a typical operating condition model, and to predict the vehicle's next operating condition;

[0086] Determine the optimal coolant temperature for the next operating condition;

[0087] A temperature difference acquisition module is used to obtain a temperature difference according to the current temperature of the coolant and the temperature of the coolant in the previous operating condition;

[0088] A target temperature difference acquisition module is used to obtain a target temperature difference based on the optimal coolant temperature of the next operating condition and the current temperature of the coolant;

[0089] The optimal opening determination module of the electronic water valve is used to determine the fuzzy membership function of the electronic water valve opening according to the changing temperature difference and the target temperature difference; and determine the optimal opening of the electronic water valve according to the determined fuzzy membership function of the electronic water valve opening.

[0090] Example 3

[0091] In this embodiment, an electronic device is disclosed, including a memory and a processor, and computer instructions stored in the memory and running on the processor. When the computer instructions are executed by the processor, the steps described in the fuzzy control method of the electronic water valve opening based on working condition prediction disclosed in Example 1 are completed.

[0092] Example 4

[0093] In this embodiment, a computer-readable storage medium is disclosed for storing computer instructions. When the computer instructions are executed by a processor, the steps described in the fuzzy control method for the opening of an electronic water valve based on working condition prediction disclosed in Example 1 are completed.

[0094] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the scope of protection of the claims of the present invention.

Claims

1. A fuzzy control method for the opening of an electronic water valve based on working condition prediction, characterized in that: include: Obtain real-time vehicle operating data and coolant temperature; Determine the vehicle's current and previous operating conditions based on the vehicle's real-time operating data and typical operating condition models, and predict the vehicle's next operating condition; Determine the optimal coolant temperature for the next operating condition; Obtaining a temperature difference according to the current temperature of the coolant and the coolant temperature of the previous operating condition; Obtaining a target temperature difference based on an optimal coolant temperature for a next operating condition and a current coolant temperature; According to the changing temperature difference and the target temperature difference, the fuzzy membership function of the electronic water valve opening is determined; Determine the optimal opening of the electronic water valve according to the determined fuzzy membership function of the opening of the electronic water valve; When the current temperature of the coolant is greater than or equal to the first temperature setting value and less than or equal to the second temperature setting value, determining the fuzzy membership function of the valve opening of the electronic water valve according to the changed temperature difference and the target temperature difference, and determining the optimal opening of the electronic water valve according to the determined fuzzy membership function of the valve opening of the electronic water valve; When the changing temperature difference is greater than or equal to the rising temperature difference limit value, and the absolute value of the target temperature difference is greater than or equal to the target temperature difference limit value, the fuzzy membership function of the electronic water valve opening is determined as follows: When the changing temperature difference is less than or equal to the falling temperature difference limit value, and the absolute value of the target temperature difference is greater than or equal to the target temperature difference limit value, the fuzzy membership function of the electronic water valve opening is determined as follows: When the changing temperature difference is greater than or equal to the rising temperature difference limit value, and the absolute value of the target temperature difference is less than the target temperature difference limit value, the fuzzy membership function of the electronic water valve opening is determined as follows: When the changing temperature difference is less than or equal to the falling temperature difference limit value, and the absolute value of the target temperature difference is less than the target temperature difference limit value, the fuzzy membership function of the electronic water valve opening is determined as follows: When the absolute value of the changing temperature difference is less than the rising temperature difference limit, the fuzzy membership function of the electronic water valve opening is determined as follows: Among them, f(T act ,ΔT1,ΔT2) represents the optimal opening of the electronic water valve, T act is the current temperature of the coolant, ΔT1 is the change temperature difference, and ΔT2 is the target temperature difference.

2. The method for fuzzy control of electronic water valve opening based on working condition prediction according to claim 1, characterized in that: Obtain the vehicle's historical operating data and corresponding operating conditions; Extract kinematic characteristic parameters from historical operation data; The kinematic characteristic parameters of historical operating data are clustered to construct a typical operating condition model.

3. The method for fuzzy control of electronic water valve opening based on working condition prediction according to claim 2, characterized in that: Extract kinematic characteristic parameters from the current operating data and the operating data before the current one, calculate the distance between the kinematic characteristic parameters and the cluster center of each typical operating condition in the typical operating condition model, and determine the typical operating condition to which the current operating condition and the operating condition before the current one belong based on the distance; The current operating condition and the typical operating condition at the next moment of the typical operating condition segment to which the current and previous operating conditions belong are used as the predicted next operating condition of the vehicle.

4. The method for fuzzy control of electronic water valve opening based on working condition prediction according to claim 1, characterized in that: Determine the load data of the next operating condition according to the next operating condition; The optimal coolant temperature for the next operating condition is determined based on the load data for the next operating condition.

5. The method for fuzzy control of electronic water valve opening based on working condition prediction according to claim 1, characterized in that: Subtract the coolant temperature of the previous operating condition from the current coolant temperature to obtain the temperature difference; The target temperature difference is obtained by subtracting the current coolant temperature from the optimal coolant temperature for the next operating condition.

6. The method for fuzzy control of electronic water valve opening based on working condition prediction according to claim 1, characterized in that: When the current temperature of the coolant is lower than the first temperature setting value, the optimal opening of the electronic water valve is fully closed; When the current temperature of the coolant is greater than the second temperature setting value, the optimal opening of the electronic water valve is fully open.

7. A fuzzy control system for electronic water valve opening based on working condition prediction, characterized in that: include: Data acquisition module, used to obtain real-time vehicle operation data and real-time coolant temperature; An operating condition determination module is used to determine the current operating condition of the vehicle based on the vehicle's real-time operating data and a typical operating condition model, and to predict the vehicle's next operating condition; Determine the optimal coolant temperature for the next operating condition; A temperature difference acquisition module is used to obtain a temperature difference according to the current temperature of the coolant and the temperature of the coolant in the previous operating condition; A target temperature difference acquisition module is used to obtain a target temperature difference based on the optimal coolant temperature of the next operating condition and the current temperature of the coolant; The optimal opening determination module of the electronic water valve is used to determine the fuzzy membership function of the electronic water valve opening according to the changing temperature difference and the target temperature difference; and determine the optimal opening of the electronic water valve according to the determined fuzzy membership function of the electronic water valve opening; When the current temperature of the coolant is greater than or equal to the first temperature setting value and less than or equal to the second temperature setting value, determining the fuzzy membership function of the valve opening of the electronic water valve according to the changed temperature difference and the target temperature difference, and determining the optimal opening of the electronic water valve according to the determined fuzzy membership function of the valve opening of the electronic water valve; When the changing temperature difference is greater than or equal to the rising temperature difference limit value, and the absolute value of the target temperature difference is greater than or equal to the target temperature difference limit value, the fuzzy membership function of the electronic water valve opening is determined as follows: When the changing temperature difference is less than or equal to the falling temperature difference limit value, and the absolute value of the target temperature difference is greater than or equal to the target temperature difference limit value, the fuzzy membership function of the electronic water valve opening is determined as follows: When the changing temperature difference is greater than or equal to the rising temperature difference limit value, and the absolute value of the target temperature difference is less than the target temperature difference limit value, the fuzzy membership function of the electronic water valve opening is determined as follows: When the changing temperature difference is less than or equal to the falling temperature difference limit value, and the absolute value of the target temperature difference is less than the target temperature difference limit value, the fuzzy membership function of the electronic water valve opening is determined as follows: When the absolute value of the changing temperature difference is less than the rising temperature difference limit, the fuzzy membership function of the electronic water valve opening is determined as follows: Among them, f(T act ,ΔT1,ΔT2) represents the optimal opening of the electronic water valve, T act is the current temperature of the coolant, ΔT1 is the change temperature difference, and ΔT2 is the target temperature difference.

8. An electronic device, characterized in that: The invention comprises a memory and a processor and computer instructions stored in the memory and executed on the processor. When the computer instructions are executed by the processor, the steps of the fuzzy control method of the opening of an electronic water valve based on working condition prediction according to any one of claims 1 to 6 are completed.

9. A computer-readable storage medium, characterized in that Used to store computer instructions, which, when executed by a processor, complete the steps of the fuzzy control method for the opening of an electronic water valve based on working condition prediction as described in any one of claims 1 to 6.

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