A control system and method for a manual air conditioning system of an electric vehicle

Abstract

The application discloses a control system of a manual air conditioning system of an electric vehicle, which comprises an intelligent circulation control module, a temperature control module and a vehicle state signal. The intelligent circulation control module generates a circulation mode control instruction based on a predetermined circulation mode decision logic according to a vehicle state signal. The temperature control module generates a heating and cooling cooperative control instruction by inquiring a pre-stored cooperative control MAP according to a user setting signal and a sensor detection signal. The application improves the air conditioning comfort, reduces the energy consumption and prolongs the cruising range of the electric vehicle.

Description

Technical Field

[0001] This invention relates to the field of electric vehicle thermal management technology, specifically to a control system and method for a manual air conditioning system in an electric vehicle. Background Technology

[0002] The control strategies of manual air conditioning systems commonly found in electric vehicles currently have significant flaws. The control logic is open-loop or simple closed-loop control, which can only directly drive the corresponding actuators based on the user's manual settings. The air conditioning controller does not have the ability to make adaptive optimization decisions based on the vehicle's operating status and environmental parameters such as vehicle speed and power status. The circulation mode completely relies on manual switching by the user, resulting in high wind noise at high speeds and easy contamination of the cabin when parked. Temperature control relies on a fixed setting of the PTC heater and simple start-stop of the electric compressor, resulting in poor comfort and high energy consumption, which seriously affects the electric vehicle's range. Summary of the Invention

[0003] The purpose of this invention is to provide a control system and method for a manual air conditioning system for electric vehicles. By upgrading the manual air conditioning control strategy of electric vehicles, this invention can achieve intelligent adaptive circulation mode and precise temperature control without modifying existing hardware, thereby improving air conditioning comfort, energy efficiency and maintainability, reducing energy consumption and extending the driving range of electric vehicles.

[0004] To achieve this objective, the present invention provides a control system for a manual air conditioning system for an electric vehicle, comprising: The intelligent cycle control module is used to execute predetermined cycle mode decision logic and generate cycle mode control commands based on vehicle status signals; The collaborative temperature control module is used to query the pre-stored collaborative control MAP based on user-defined signals and sensor detection signals, and generate collaborative control commands for heating and cooling.

[0005] Preferably, the fault diagnosis module is used to perform real-time status monitoring and fault judgment on each related component of the air conditioning system, and obtain standard diagnostic fault codes.

[0006] Preferably, the vehicle status signal includes a vehicle speed signal and a power status signal, the user setting signal includes an air conditioning temperature setting signal and an air conditioning fan speed mode signal, and the sensor detection signal includes an ambient temperature signal and an evaporator temperature signal.

[0007] Preferably, the predetermined cycle mode decision logic includes: when the air conditioning system is in external circulation mode and the vehicle speed corresponding to the vehicle speed signal is higher than a first preset threshold within a set time, automatically generating a fresh air actuator control command to switch to internal circulation mode; when the vehicle speed corresponding to the vehicle speed signal is lower than a second preset threshold, automatically generating a fresh air actuator control command to switch to external circulation mode.

[0008] Preferably, the predetermined cycle mode decision logic further includes: when the power status signal is detected to be a power-off signal, automatically generating a fresh air actuator control command to switch to the internal circulation mode.

[0009] Preferably, the pre-stored collaborative control MAP is a multi-dimensional data table with user-defined signals and sensor detection signals as input indices, and the target power level of the PTC heater and the target speed of the electric compressor as output parameters.

[0010] Preferably, the specific process of generating heating and cooling coordinated control commands by querying a pre-stored coordinated control MAP based on user-defined signals and sensor detection signals includes: The air conditioning controller acquires the air conditioning temperature setting signal and air conditioning air volume mode signal in real time, and collects the ambient temperature signal and evaporator temperature signal. Using the air conditioning temperature setting signal, air conditioning air volume mode signal, ambient temperature signal and evaporator temperature signal as indexes, it queries the PTC power and compressor speed coordinated control MAP pre-stored in the air conditioning controller. When the air conditioning temperature setting signal, air conditioning air volume mode signal, ambient temperature signal and evaporator temperature signal are completely consistent with the data points in the coordinated control MAP, the target power level of the PTC heater and the target speed of the electric compressor with the best energy efficiency and comfort under the current operating conditions are obtained by looking up the table, and heating and cooling coordinated control commands are generated. When the air conditioner temperature setting signal, air conditioner air volume mode signal, ambient temperature signal, and evaporator temperature signal are not completely consistent with the data points in the collaborative control MAP, a linear interpolation algorithm is used to perform linear interpolation calculations on the target power level of the PTC heater and the target speed of the electric compressor, thereby deduce the target power level of the PTC heater and the target speed of the electric compressor that match the current operating conditions and have the best energy efficiency and comfort, and generate a heating and cooling collaborative control command. The air conditioning controller converts the target power level into a corresponding PWM duty cycle signal to drive the PTC heater through heating and cooling coordinated control commands, and encapsulates the target speed into a CAN bus message and sends it to the electric compressor controller to complete the heating and cooling coordinated control.

[0011] Preferably, the specific process of performing real-time status monitoring and fault diagnosis on each associated component of the air conditioning system to obtain standard diagnostic fault codes includes: The associated components include a blower motor, speed control module, mode damper actuator, fresh air actuator, evaporator temperature sensor, PTC heater, electric compressor, pressure switch, and condenser fan; For the blower motor and speed control module, by monitoring the operating current and feedback signal of the blower motor and speed control module, it is determined whether the corresponding related components have circuit faults, signal abnormalities, or execution response faults, and corresponding standard diagnostic fault codes are generated. For the mode damper actuator and the fresh air actuator, by monitoring the position feedback signal and action response time of the mode damper actuator and the fresh air actuator, it is determined whether the corresponding related components have circuit failures, signal abnormality failures or execution response failures, and corresponding standard diagnostic fault codes are generated. For the evaporator temperature sensor, by monitoring whether the signal value of the evaporator temperature sensor is within the effective physical range, it is determined whether there is a component circuit failure, signal abnormality failure or execution response failure, and corresponding standard diagnostic fault codes are generated. For PTC heaters, by monitoring the status and operating current of the PTC heater's drive circuit, it is determined whether there are component circuit faults, signal abnormalities, or execution response faults, and corresponding standard diagnostic fault codes are generated. For electric compressors, by monitoring the communication status and speed feedback signal of the electric compressor, it is determined whether there is a component circuit fault, signal abnormality fault, or execution response fault, and corresponding standard diagnostic fault codes are generated.

[0012] A control method for a manual air conditioning system in an electric vehicle, comprising the following steps: Based on vehicle status signals, execute predetermined cyclic mode decision logic to generate cyclic mode control commands; The user sets the signal and the sensor detects the signal, queries the pre-stored collaborative control MAP, and generates heating and cooling collaborative control commands.

[0013] A computer program product includes a computer program that, when executed by a processor, implements the steps of the above-described method.

[0014] The beneficial effects of this invention are: This invention automatically switches between internal and external air circulation based on vehicle speed sensing, eliminating wind noise and air conditioning load interference from external circulation during high-speed driving. Simultaneously, it automatically switches to internal circulation when the vehicle is powered off, preventing external dust and moisture from entering the vehicle, ensuring a clean interior environment and vehicle durability, and improving intelligence and driving comfort. This invention employs a MAP strategy with coordinated control of the PTC heater and electric compressor to achieve continuous and smooth temperature regulation, improving temperature control comfort, reducing battery power consumption, and extending the electric vehicle's driving range. Furthermore, this invention uses the air conditioning controller to monitor and diagnose related components in real time, generating standard diagnostic fault codes for quick and accurate fault location, shortening repair cycles and reducing after-sales costs. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of the structure of the present invention; Figure 2 This is a flowchart of the present invention. Detailed Implementation

[0016] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments: Example 1 A control system for a manual air conditioning system in an electric vehicle, such as Figure 1 As shown, it includes: The intelligent cycle control module is used to execute the predetermined cycle mode decision logic based on vehicle status signals and generate cycle mode control commands. This design makes automatic decisions based on vehicle status signals, gets rid of the limitation of manual air conditioning cycle mode relying entirely on manual operation, and improves driving comfort and vehicle protection. The collaborative temperature control module is used to query the pre-stored collaborative control MAP based on user-defined signals and sensor detection signals, and generate collaborative control commands for heating and cooling. This design achieves precise matching of cooling and heating by querying the pre-stored multi-dimensional MAP and outputting collaborative control commands, which can improve the intelligence level and temperature control comfort of manual air conditioners.

[0017] In the above technical solution, the fault diagnosis module is used to perform real-time status monitoring (which can be set to periodically monitor and diagnose at a fixed period of 100ms) and fault judgment on each related component of the air conditioning system, and obtain standard diagnostic fault codes. The standard diagnostic fault codes include fault identifier, fault status (pending processing / confirmed / repaired) and occurrence count, and are stored in non-volatile memory. By connecting a universal diagnostic tool to the vehicle's OBD interface, the air conditioning controller can be accessed and all standard diagnostic fault codes can be read. The above design performs real-time status monitoring and fault judgment on each related component, and can capture circuit, signal and execution faults of air conditioning related components in real time, thereby improving the maintainability of the air conditioning and the efficiency of after-sales maintenance.

[0018] In the above technical solution, the vehicle status signals include vehicle speed signals and power status signals; the user-set signals include air conditioning temperature setting signals and air conditioning fan speed mode signals; and the sensor detection signals include ambient temperature signals and evaporator temperature signals. The above design uses vehicle speed and power status as the core inputs for cyclic control, and air conditioning temperature setting, air conditioning fan speed mode, ambient temperature, and evaporator temperature as the core inputs for temperature control. The signal selection closely matches the actual operating conditions and control requirements of a manual air conditioner in an electric vehicle, ensuring the accuracy and rationality of cyclic decision-making and temperature control calculations, avoiding interference from invalid signals with the control logic, and guaranteeing the stable and reliable execution of intelligent control functions.

[0019] Regarding the specific methods for acquiring vehicle status signals, user-defined signals, and sensor detection signals, some optimized technical solutions include: the air conditioning controller acquires multi-source signals in real time through multiple interfaces; it reads the air conditioning temperature setting signal and air conditioning fan speed mode signal set by the user through the manual control panel via analog-to-digital conversion circuits or digital I / O ports; it acquires vehicle speed signals and vehicle power status signals (IGN signals) from the vehicle network via the Controller Area Network (CAN) bus; it obtains ambient temperature signals and evaporator temperature signals through sensors connected by hard wires via analog-to-digital conversion channels; and all acquired signals undergo filtering, validity verification, and format standardization processing.

[0020] For the specific implementation of coordinated temperature control, some optimized technical solutions include: During the coordinated temperature control process, the air conditioner controller queries the coordinated control MAP based on the user-set air conditioner temperature setting signal, air conditioner airflow mode signal, ambient temperature, and evaporator temperature, and outputs coordinated control commands. For example, when the ambient temperature is 35℃ and the user sets it to the slightly cooling setting (the user rotates the temperature adjustment knob (e.g., with cooling, slightly cooling, natural, slightly warm, and warm settings)), the coordinated control MAP outputs a coordinated control command with an electric compressor speed of 2500rpm and a PTC heater power of 0kW; when the ambient temperature is 5℃ and the user sets it to the slightly warm setting, the coordinated control MAP outputs a coordinated control command with an electric compressor speed of 800rpm (for dehumidification) and a PTC heater power of 1.5kW, accurately matching the temperature control requirements of different operating conditions.

[0021] In the above technical solution, the predetermined cycle mode decision logic includes: when the air conditioning system is in external circulation mode, and the vehicle speed corresponding to the vehicle speed signal is higher than a first preset threshold (the first preset threshold can be set to 80 km / h) for a set time (e.g., 30 seconds), an automatic fresh air actuator control command to switch to internal circulation mode is generated; when the vehicle speed corresponding to the vehicle speed signal is lower than a second preset threshold (the second preset threshold can be set to 60 km / h), an automatic fresh air actuator control command to switch to external circulation mode is generated. The above design defines the speed-triggered cycle mode decision logic. When external circulation is activated and the vehicle speed exceeds the preset threshold, the internal circulation is automatically switched. The logic addresses the pain points of high wind noise and high air conditioning load during high-speed driving. By triggering automatic switching through the vehicle speed threshold, high-speed wind noise interference and air conditioning energy consumption can be eliminated without manual operation by the user. This not only fits the usage scenario of high-speed driving but also does not change the user's manual operation habits, improving driving comfort and air conditioning energy efficiency.

[0022] In the above technical solution, the predetermined cycle mode decision logic further includes: when the power status signal is detected as a power-off signal (vehicle power off), regardless of the current vehicle speed and cycle mode status, an automatic control command to switch to the internal circulation mode for the fresh air actuator is generated and the motor is locked until the vehicle is powered on again and the user operates the cycle mode button for the first time, at which point the forced state of the internal circulation mode is released; the above design limits the cycle mode decision logic triggered by vehicle power-off, automatically switching to internal circulation when a power-off signal is detected, which can effectively prevent the problem of external dust, moisture, and pollutants entering the vehicle interior due to the user forgetting to switch the circulation mode after the vehicle is turned off and parked, actively protecting the cleanliness of the vehicle interior and air quality, improving the vehicle's usage quality and durability, and achieving automatic protection of the vehicle interior environment when parked.

[0023] In the above technical solution, the pre-stored collaborative control MAP is a multi-dimensional data table with user-defined signals and sensor detection signals as input indices and the target power level of the PTC heater and the target speed of the electric compressor as output parameters. The above design can realize the rapid query and accurate matching of control parameters under multiple operating conditions. The pre-stored collaborative control MAP provides standardized and accurate parameter basis for collaborative temperature control, ensuring that the temperature control output always meets the comfort and energy efficiency requirements of the current operating condition.

[0024] In the above technical solution, the specific process of generating heating and cooling coordinated control commands by querying the pre-stored coordinated control MAP based on user-defined signals and sensor detection signals includes: The air conditioning controller acquires the air conditioning temperature setting signal and air conditioning fan speed mode signal in real time, and also collects the ambient temperature signal and evaporator temperature signal. Using the air conditioning temperature setting signal, air conditioning fan speed mode signal, ambient temperature signal, and evaporator temperature signal as indexes, it queries the PTC power and compressor speed coordinated control MAP diagram pre-stored in the air conditioning controller. When the air conditioning temperature setting signal, air conditioning fan speed mode signal, ambient temperature signal, and evaporator temperature signal are completely consistent with the data points in the coordinated control MAP diagram, it obtains the target power level of the PTC heater and the target speed of the electric compressor under the current operating conditions (i.e., under the currently collected air conditioning temperature setting signal, air conditioning fan speed mode signal, ambient temperature signal, and evaporator temperature signal) to achieve optimal energy efficiency and comfort by looking up the table, and generates a heating and cooling coordinated control command. When the air conditioner temperature setting signal, air conditioner air volume mode signal, ambient temperature signal, and evaporator temperature signal are not completely consistent with the data points in the collaborative control MAP, a linear interpolation algorithm is used to perform linear interpolation calculations on the target power level of the PTC heater and the target speed of the electric compressor, thereby deduce the target power level of the PTC heater and the target speed of the electric compressor that match the current operating conditions and have the best energy efficiency and comfort, and generate a heating and cooling collaborative control command. The air conditioning controller converts the target power level into a corresponding PWM duty cycle signal to drive the PTC heater through heating and cooling coordinated control commands. It encapsulates the target speed into a CAN bus message and sends it to the electric compressor controller to complete the heating and cooling coordinated control. The above design uses real-time acquisition of multi-dimensional signals for index lookup, combined with linear interpolation algorithms to adapt to non-standard operating conditions, and then uses PWM signals and CAN messages to drive the actuator. This ensures accurate calculation of the control parameters of the PTC heater and the electric compressor under all operating conditions, achieves continuous and smooth temperature adjustment, and realizes precise coordinated control.

[0025] In some preferred embodiments of this invention, during linear interpolation calculations, the collaborative control MAP is stored in the air conditioning controller as a multi-dimensional array. During querying, a target data sub-table is determined based on discrete air conditioning fan speed mode signals and air conditioning temperature setting signals. Using continuous ambient temperature and evaporator temperature values ​​as coordinates, four reference data points surrounding the current actual temperature point are located in the target data sub-table. A bilinear interpolation algorithm is used for calculation: first, linear interpolation is performed on the PTC heater power level and electric compressor speed of the two pairs of reference points in the ambient temperature dimension to obtain two intermediate values; then, a second linear interpolation is performed on the two intermediate values ​​in the evaporator temperature dimension to finally calculate the target PTC heater power level and electric compressor speed that precisely match the current continuous operating conditions. The air conditioning controller generates corresponding PWM signals and CAN messages based on the target PTC heater power level and electric compressor speed.

[0026] In the above technical solution, the specific process of performing real-time status monitoring and fault diagnosis on each related component of the air conditioning system to obtain standard diagnostic fault codes includes: The associated components include a blower motor, speed control module, mode damper actuator, fresh air actuator, evaporator temperature sensor, PTC heater, electric compressor, pressure switch, and condenser fan; For the blower motor and speed control module, by monitoring the operating current and feedback signal of the blower motor and speed control module, it is determined whether the corresponding related components have circuit faults, signal abnormalities, or execution response faults, and corresponding standard diagnostic fault codes are generated. For the mode damper actuator and the fresh air actuator, by monitoring the position feedback signal and action response time of the mode damper actuator and the fresh air actuator, it is determined whether the corresponding related components have circuit failures, signal abnormality failures or execution response failures, and corresponding standard diagnostic fault codes are generated. For the evaporator temperature sensor, by monitoring whether the signal value of the evaporator temperature sensor is within the effective physical range, it is determined whether there is a component circuit failure, signal abnormality failure or execution response failure, and corresponding standard diagnostic fault codes are generated. For PTC heaters, by monitoring the status and operating current of the PTC heater's drive circuit, it is determined whether there are component circuit faults, signal abnormalities, or execution response faults, and corresponding standard diagnostic fault codes are generated. For electric compressors, by monitoring the communication status and speed feedback signal of the electric compressor, it is determined whether there are component circuit faults, signal abnormalities, or execution response faults, and corresponding standard diagnostic fault codes are generated. The above design realizes fault coverage diagnosis of all components and all dimensions of the air conditioning system, which can accurately identify various faults in circuits, signals, and execution responses, generate clear and specific diagnostic information, and provide accurate fault indication.

[0027] Example 2 A control method for a manual air conditioning system in an electric vehicle, such as Figure 2 As shown, based on vehicle status signals, a predetermined cyclic mode decision logic is executed to generate cyclic mode control commands; based on user-defined signals and sensor detection signals, a pre-stored collaborative control MAP is queried to generate heating and cooling collaborative control commands.

[0028] The specific methods for controlling a manual air conditioning system include the following steps: Based on vehicle status signals, execute predetermined cyclic mode decision logic to generate cyclic mode control commands; The user sets the signal and the sensor detects the signal, queries the pre-stored collaborative control MAP, and generates heating and cooling collaborative control commands.

[0029] Example 3 A computer program product includes a computer program that, when executed by a processor, implements the steps of the method described in Embodiment 2.

[0030] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0031] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A system that specifies functions in one or more boxes.

[0032] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including an instruction set implemented in a process. Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0033] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0034] 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 its scope of protection. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that after reading the present invention, they can still make various changes, modifications or equivalent substitutions to the specific implementation of the invention, but these changes, modifications or equivalent substitutions are all within the scope of protection of the pending claims of the invention.

[0035] The contents not described in detail in this specification are existing technologies known to those skilled in the art.

Claims

1. A control system for a manual air conditioning system of an electric vehicle, characterized in that, It includes: The intelligent cycle control module is used to execute predetermined cycle mode decision logic and generate cycle mode control commands based on vehicle status signals; The collaborative temperature control module is used to query the pre-stored collaborative control MAP based on user-defined signals and sensor detection signals, and generate collaborative control commands for heating and cooling.

2. The control system for a manual air conditioning system for an electric vehicle according to claim 1, characterized in that, It also includes: The fault diagnosis module is used to perform real-time status monitoring and fault judgment on each related component of the air conditioning system and obtain standard diagnostic fault codes.

3. The control system for a manual air conditioning system for an electric vehicle according to claim 1, characterized in that: The vehicle status signals include vehicle speed signals and power status signals; the user setting signals include air conditioning temperature setting signals and air conditioning fan speed mode signals; and the sensor detection signals include ambient temperature signals and evaporator temperature signals.

4. The control system of a manual air conditioning system for an electric vehicle according to claim 3, characterized in that: The predetermined cycle mode decision logic includes: when the air conditioning system is in external circulation mode and the vehicle speed corresponding to the vehicle speed signal is higher than the first preset threshold within a set time, an automatic fresh air actuator control command to switch to internal circulation mode is generated; when the vehicle speed corresponding to the vehicle speed signal is lower than the second preset threshold, an automatic fresh air actuator control command to switch to external circulation mode is generated.

5. The control system for a manual air conditioning system for an electric vehicle according to claim 3, characterized in that: The predetermined cycle mode decision logic also includes: when the power status signal is detected to be a power-off signal, automatically generating a fresh air actuator control command to switch to the internal circulation mode.

6. The control system for a manual air conditioning system for an electric vehicle according to claim 1, characterized in that: The pre-stored collaborative control MAP is a multi-dimensional data table with user-defined signals and sensor detection signals as input indices, and the target power level of the PTC heater and the target speed of the electric compressor as output parameters.

7. The control system for a manual air conditioning system for an electric vehicle according to claim 3, characterized in that: The specific process of generating heating and cooling coordinated control commands based on user-defined signals and sensor detection signals includes querying a pre-stored coordinated control MAP. The air conditioning controller acquires the air conditioning temperature setting signal and air conditioning air volume mode signal in real time, and collects the ambient temperature signal and evaporator temperature signal. Using the air conditioning temperature setting signal, air conditioning air volume mode signal, ambient temperature signal and evaporator temperature signal as indexes, it queries the PTC power and compressor speed coordinated control MAP pre-stored in the air conditioning controller. When the air conditioning temperature setting signal, air conditioning air volume mode signal, ambient temperature signal and evaporator temperature signal are completely consistent with the data points in the coordinated control MAP, the target power level of the PTC heater and the target speed of the electric compressor with the best energy efficiency and comfort under the current operating conditions are obtained by looking up the table, and heating and cooling coordinated control commands are generated. When the air conditioner temperature setting signal, air conditioner air volume mode signal, ambient temperature signal, and evaporator temperature signal are not completely consistent with the data points in the collaborative control MAP, a linear interpolation algorithm is used to perform linear interpolation calculations on the target power level of the PTC heater and the target speed of the electric compressor, thereby deduce the target power level of the PTC heater and the target speed of the electric compressor that match the current operating conditions and have the best energy efficiency and comfort, and generate a heating and cooling collaborative control command. The air conditioning controller converts the target power level into a corresponding PWM duty cycle signal to drive the PTC heater through heating and cooling coordinated control commands, and encapsulates the target speed into a CAN bus message and sends it to the electric compressor controller to complete the heating and cooling coordinated control.

8. The control system for a manual air conditioning system for an electric vehicle according to claim 2, characterized in that: The specific process of performing real-time status monitoring and fault diagnosis on each related component of the air conditioning system to obtain standard diagnostic fault codes includes: The associated components include a blower motor, speed control module, mode damper actuator, fresh air actuator, evaporator temperature sensor, PTC heater, electric compressor, pressure switch, and condenser fan; For the blower motor and speed control module, by monitoring the operating current and feedback signal of the blower motor and speed control module, it is determined whether the corresponding related components have circuit faults, signal abnormalities, or execution response faults, and corresponding standard diagnostic fault codes are generated. For the mode damper actuator and the fresh air actuator, by monitoring the position feedback signal and action response time of the mode damper actuator and the fresh air actuator, it is determined whether the corresponding related components have circuit failures, signal abnormality failures or execution response failures, and corresponding standard diagnostic fault codes are generated. For the evaporator temperature sensor, by monitoring whether the signal value of the evaporator temperature sensor is within the effective physical range, it is determined whether there is a component circuit failure, signal abnormality failure or execution response failure, and corresponding standard diagnostic fault codes are generated. For PTC heaters, by monitoring the status and operating current of the PTC heater's drive circuit, it is determined whether there are component circuit faults, signal abnormalities, or execution response faults, and corresponding standard diagnostic fault codes are generated. For electric compressors, by monitoring the communication status and speed feedback signal of the electric compressor, it is determined whether there is a component circuit fault, signal abnormality fault, or execution response fault, and corresponding standard diagnostic fault codes are generated.

9. A control method for a manual air conditioning system in an electric vehicle, characterized in that, It includes the following steps: Based on vehicle status signals, execute predetermined cyclic mode decision logic to generate cyclic mode control commands; The user sets the signal and the sensor detects the signal, queries the pre-stored collaborative control MAP, and generates heating and cooling collaborative control commands.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method of claim 9.

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