Aging detection method and system for electric vehicle air-conditioning compressor

Abstract

The present application discloses an aging detection method and system for electric vehicle air-conditioning compressors, relating to the technical field of compressor aging detection technology. The method comprises: obtaining the communication status of the compressor, and if the communication is normal, connecting the connection circuit between the compressor and the power supply; obtaining the model information of the compressor and selecting a corresponding aging detection method; based on the aging detection method, sending a corresponding operating instruction to the compressor; the operating instruction is used to start the compressor during each detection and control the compressor to operate according to the corresponding mode and target temperature; obtaining the electrical parameters of the compressor, and evaluating the degree of aging of the compressor based on the electrical parameters to obtain an aging degree evaluation result; wherein the electrical parameters include voltage and current; recording the actual number of detections of the compressor in real time, and when the actual number of detections reaches the target number of detections, disconnecting the connection circuit between the compressor and the power supply. The present application solves the problem that existing detection methods waste manpower and have low detection efficiency.

Description

Technical Field

[0001] The present application relates to the technical field of compressor aging detection, and in particular to an aging detection method and system for electric vehicle air-conditioning compressors. Background Art

[0002] Before a compressor leaves the factory, it is often necessary to conduct an aging test on the compressor. The actual use conditions and environment are simulated using testing equipment, and the compressor is tested continuously over a long period of time to understand the life and performance of the compressor.

[0003] The existing aging detection of compressors usually adopts manual detection method, which requires manual input of parameters and start of detection each time. After multiple detection processes, the aging detection of the compressor is completed; however, this method not only wastes manpower but also has low detection efficiency. Summary of the Invention

[0004] In order to solve the problem that the existing method of detecting compressor aging wastes manpower and has low detection efficiency, the present application provides an aging detection method and system for electric vehicle air-conditioning compressors.

[0005] In a first aspect, the present application provides an aging detection method for an electric vehicle air-conditioning compressor, which adopts the following technical solution: the aging detection method includes:

[0006] Acquiring the communication status of the compressor, and if the communication of the compressor is normal, connecting the connection circuit between the compressor and the power supply to power on the compressor;

[0007] Obtaining compressor model information and selecting an aging detection method corresponding to the compressor model; the aging detection method includes a target number of detections, a mode corresponding to each detection, and a target temperature;

[0008] Based on the aging detection method, a corresponding operating instruction is generated and sent to the compressor; wherein the operating instruction is used to start the compressor during each detection and control the compressor to operate according to the corresponding mode and target temperature;

[0009] receiving electrical parameters fed back by the compressor during detection, and evaluating the aging degree of the compressor based on the electrical parameters to obtain an aging degree evaluation result corresponding to each detection; wherein the electrical parameters include voltage and current;

[0010] The actual detection times of the compressor are recorded in real time, and when the actual detection times of the compressor reaches the target detection times, the connection circuit between the compressor and the power supply is cut off.

[0011] By adopting the above technical solution, by directly communicating with the compressor and selecting the aging detection method corresponding to the compressor model, an operating instruction is generated to automatically control the operation of the compressor, and electrical parameters are obtained in real time during the operation of the compressor. The aging degree of the compressor is evaluated based on the electrical parameters to obtain the aging degree evaluation result. The entire process realizes fully automatic detection without manual processing, and the detection efficiency is high. It effectively solves the problem of waste of manpower and low detection efficiency in the existing compressor aging detection method.

[0012] In a specific implementation scheme, the aging degree of the compressor is evaluated based on the electrical parameters to obtain an aging degree evaluation result corresponding to each test, specifically including:

[0013] Calculating actual total energy consumption based on the voltage and the current; evaluating the energy consumption of the compressor based on the actual total energy consumption to obtain an energy consumption evaluation result;

[0014] analyzing harmonics and fluctuation conditions in the voltage and the current based on the voltage and the current, and evaluating power supply stability of the compressor based on the harmonics and the fluctuation conditions to obtain a stability evaluation result;

[0015] Obtaining an aging degree assessment result based on the energy consumption assessment result and the stability assessment result;

[0016] Wherein, the aging degree evaluation result A1=k1*A con +k2*A sta ;

[0017] A con is the energy consumption evaluation result, k1 is the energy consumption ratio coefficient, A sta is the stability evaluation result, and k2 is the stability proportional coefficient.

[0018] By adopting the above technical solution, energy consumption evaluation results and stability evaluation results are obtained according to voltage and current respectively. When the more electricity the compressor consumes during operation and the more voltage and current harmonics and fluctuations of the compressor are, that is, the lower the energy consumption evaluation result or the stability evaluation result is, the lower the aging degree evaluation result is, indicating that the aging degree of the compressor is more serious.

[0019] In a specific implementation scheme, before receiving the electrical parameters fed back by the compressor during detection, the method further includes:

[0020] Acquiring the communication status of the sensor device, and sending an information collection instruction to the sensor device if the communication of the sensor device is normal; the information collection instruction is used to control the sensor device to collect information;

[0021] Receive the sensor parameters returned by the sensor device during the compressor detection, and evaluate the aging degree of the compressor based on the sensor parameters to obtain a second aging degree evaluation result; wherein the second aging degree evaluation result is used to correct the aging degree evaluation result; the sensor parameters include one or more of the actual noise of the compressor, the actual temperature of the compressor body, the actual exhaust pressure, and the actual return air pressure.

[0022] By adopting the above technical solution, on the one hand, electrical parameters are obtained by directly communicating with the compressor; on the other hand, by adding peripheral sensor equipment, parameters related to compressor aging, such as noise, body temperature, actual exhaust pressure, actual return air pressure, etc., are detected to obtain a second aging degree assessment result, and then the obtained aging degree assessment result is corrected, so that the judgment of the aging condition of the compressor is more accurate and comprehensive.

[0023] In a specific implementation scheme, evaluating the aging degree of the compressor based on the sensing parameters to obtain a second aging degree evaluation result specifically includes:

[0024] evaluating the noise of the compressor based on the actual noise to obtain a noise evaluation result;

[0025] Evaluating the heat generation of the compressor based on the actual temperature of the compressor body to obtain a heat generation evaluation result;

[0026] Calculating an actual pressure difference and an actual pressure ratio based on the actual exhaust pressure and the actual return air pressure, and evaluating the compression efficiency of the compressor based on the actual pressure difference and the actual pressure ratio to obtain a compression efficiency evaluation result;

[0027] obtaining a second degradation degree evaluation result based on the noise evaluation result, the heat generation evaluation result, and the compression efficiency evaluation result;

[0028] Wherein, the second aging degree assessment result A2=k3*A noi +k4*A hea +k5*A eff ;

[0029] A noi is the noise evaluation result, k3 is the noise proportional coefficient, A hea is the heat production evaluation result, k4 is the heat production ratio coefficient, A eff is the compression efficiency evaluation result, and k5 is the compression efficiency proportional coefficient.

[0030] By adopting the above technical solution, the evaluation results of the compressor in terms of noise, heat generation and compression efficiency are obtained respectively according to the actual noise, actual temperature of the body, actual pressure difference and actual pressure ratio. When the noise is greater, the actual temperature of the body is higher, and the actual pressure difference or actual pressure ratio is smaller during the operation of the compressor, that is, the noise evaluation result, heat generation evaluation result and compression efficiency evaluation result are lower, the aging degree evaluation result is also lower, indicating that the aging degree of the compressor is more serious.

[0031] In a specific embodiment, the second aging degree assessment result is used to correct the aging degree assessment result, specifically including:

[0032] The corrected aging assessment result is A=m1*A1+m2*A2;

[0033] Wherein, A1 is the aging degree evaluation result before correction, m1 is the first evaluation coefficient, A2 is the second aging degree evaluation result, and m2 is the second evaluation coefficient.

[0034] In a specific embodiment, after cutting off the connection circuit between the compressor and the power supply, the method further comprises:

[0035] Based on the aging degree evaluation results corresponding to each test, a curve of the aging degree of the compressor is drawn;

[0036] Eliminating abnormal data in the aging degree change curve to obtain an optimized aging degree change curve;

[0037] With respect to the optimized aging degree change curve, characteristic points in the aging degree change curve are marked; wherein the characteristic points represent points at which the attenuation condition of the compressor aging degree reaches a preset attenuation condition.

[0038] By adopting the above technical solution, a corresponding curve can be drawn according to the aging degree evaluation results corresponding to each test. By optimizing the curve and marking the points where the aging degree attenuation is larger, it is convenient for staff to understand the aging situation.

[0039] In a specific implementation scheme, after sending the operation instruction to the compressor, the method further includes:

[0040] Obtaining the startup status of the compressor, if the compressor fails to start and the current actual number of detections of the compressor has not reached the target number of detections;

[0041] Then, the system attempts to continuously send operating instructions to the compressor until the number of attempts reaches a preset threshold, then determines that the compressor has failed to start, and cuts off the connection circuit between the compressor and the power supply.

[0042] By adopting the above technical solution, when the detection is not completed, there is a problem with the startup of the compressor, and it cannot be solved after multiple attempts, indicating that the compressor is damaged, the power supply of the compressor is directly cut off to ensure safety.

[0043] In a second aspect, the present application provides an aging detection system for an electric vehicle air-conditioning compressor, applying the aging detection method for an electric vehicle air-conditioning compressor according to the first aspect or any alternative embodiment of the first aspect, the system comprising a control board; the control board is configured to obtain the communication status of the compressor, and if the compressor communication is normal, connect the connection circuit between the compressor and the power supply to power on the compressor;

[0044] The control panel is further configured to obtain compressor model information and select an aging detection method corresponding to the compressor model; the aging detection method includes a target number of detections, a mode corresponding to each detection, and a target temperature;

[0045] The control board is further configured to generate a corresponding operating instruction based on the aging detection method and send the operating instruction to the compressor; wherein the operating instruction is configured to start the compressor during each detection and control the compressor to operate according to the corresponding mode and target temperature;

[0046] The control board is further configured to receive electrical parameters fed back by the compressor during testing, and to evaluate the aging degree of the compressor based on the electrical parameters, thereby obtaining an aging degree evaluation result corresponding to each test; wherein the electrical parameters include voltage and current;

[0047] The control panel is also used to record the actual detection times of the compressor in real time, and cut off the connection circuit between the compressor and the power supply when the actual detection times of the compressor reaches the target detection times.

[0048] In a third aspect, the present application provides a terminal comprising: a processor, a memory and a communication bus; the communication bus is used to realize connection and communication between the processor and the memory, and the processor is used to execute one or more programs stored in the memory to realize the aging detection method for the electric vehicle air-conditioning compressor in the above-mentioned first aspect or any possible implementation scheme of the first aspect.

[0049] In a fourth aspect, the present application provides a computer-readable storage medium storing instructions, which, when executed, executes the aging detection method for an electric vehicle air-conditioning compressor in the above-mentioned first aspect or any one of the possible implementation schemes of the first aspect.

[0050] In summary, the technical solution of this application includes at least the following beneficial technical effects:

[0051] 1. By directly communicating with the compressor and selecting the aging detection method corresponding to the compressor model, the system generates operating instructions to automatically control the compressor operation. During the operation of the compressor, electrical parameters are obtained in real time. The aging degree of the compressor is evaluated based on the electrical parameters to obtain the aging degree assessment result. The entire process is fully automatic and does not require manual processing. The detection efficiency is high, which effectively solves the problem of waste of manpower and low detection efficiency of the existing compressor aging detection method.

[0052] 2. On the one hand, electrical parameters are obtained by directly communicating with the compressor; on the other hand, parameters related to compressor aging, such as noise, body temperature, actual exhaust pressure, and actual return air pressure, are detected by adding peripheral sensor equipment to obtain a second aging degree assessment result, and then the aging degree assessment result is corrected, making the judgment on the aging condition of the compressor more accurate and comprehensive. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 This is a first flow chart of an aging detection method for a tram air-conditioning compressor according to an embodiment of the present application;

[0054] Figure 2 2 is a second flow chart of the aging detection method for an electric vehicle air-conditioning compressor according to an embodiment of the present application;

[0055] Figure 3 It is a structural diagram of an aging detection system for an electric vehicle air-conditioning compressor in an embodiment of the present application. DETAILED DESCRIPTION

[0056] In order to make the objectives, technical solutions and advantages of this application clearer, the implementation methods of this application will be further described in detail below with reference to the accompanying drawings.

[0057] The present application embodiment provides a method for detecting aging of an electric vehicle air-conditioning compressor. Figure 1 As shown, the method includes steps S1-S5.

[0058] S1, obtaining the communication status of the compressor. If the communication of the compressor is normal, connecting the connection circuit between the compressor and the power supply to power on the compressor.

[0059] S2, obtaining the model information of the compressor and selecting an aging detection method corresponding to the compressor model; the aging detection method includes a target number of detections, a mode corresponding to each detection, and a target temperature; the mode includes a cooling mode and a heating mode;

[0060] Specifically, corresponding aging detection methods can be pre-stored for compressors of different models. During actual detection, after obtaining the model information of the compressor, the aging detection method corresponding to the compressor model can be directly selected.

[0061] S3. Based on the aging detection method, a corresponding operation instruction is generated and sent to the compressor; wherein the operation instruction is used to start the compressor during each detection and control the compressor to operate according to the corresponding mode and target temperature.

[0062] S4, receiving electrical parameters fed back by the compressor during detection, and evaluating the aging degree of the compressor based on the electrical parameters to obtain an aging degree evaluation result corresponding to each detection; wherein the electrical parameters include voltage and current.

[0063] Therefore, by directly communicating with the compressor and selecting the aging detection method corresponding to the compressor model, an operating instruction is generated to automatically control the operation of the compressor, and the electrical parameters of the compressor feedback are obtained in real time during the operation of the compressor. The aging degree of the compressor is evaluated based on the electrical parameters to obtain the aging degree evaluation result. The entire process realizes fully automatic detection without manual processing, and the detection efficiency is high. It effectively solves the problem of waste of manpower and low detection efficiency in the existing compressor aging detection method.

[0064] In a possible implementation, step S4, evaluating the aging degree of the compressor based on the electrical parameters to obtain an aging degree evaluation result corresponding to each detection, specifically includes steps S41-S43.

[0065] S41, calculating actual total energy consumption based on the voltage and the current; evaluating the energy consumption of the compressor based on the actual total energy consumption to obtain an energy consumption evaluation result;

[0066] Exemplarily, the energy consumption evaluation result can be obtained in the following manner: the energy consumption deviation is calculated based on the actual total energy consumption and the preset reference energy consumption, energy consumption deviation = actual total energy consumption - reference energy consumption; then the energy consumption of the compressor is evaluated based on the energy consumption deviation to obtain the energy consumption evaluation result. When the energy consumption deviation is greater than 0, and the value of the energy consumption deviation is larger, the energy consumption evaluation result is lower.

[0067] S42: Analyze harmonics and fluctuation conditions in the voltage and the current based on the voltage and the current, and evaluate the power supply stability of the compressor based on the harmonics and fluctuation conditions to obtain a stability evaluation result.

[0068] Exemplarily, the stability evaluation result can be obtained in the following manner: by analyzing the harmonics and fluctuation conditions in the voltage and the current, an analysis result is obtained. If there are more harmonics, or the voltage fluctuation is greater, or the current fluctuation is greater, the stability evaluation result is lower.

[0069] S43, obtaining an aging degree evaluation result based on the energy consumption evaluation result and the stability evaluation result.

[0070] Wherein, the aging degree evaluation result A1=k1*A con +k2*A sta ;

[0071] A con is the energy consumption evaluation result, k1 is the energy consumption ratio coefficient, A sta is the stability evaluation result, and k2 is the stability proportional coefficient.

[0072] It should be noted that the reference energy consumption represents the energy consumption value corresponding to the operation according to the current mode and target temperature when the compressor performance is lossless, that is, without any aging; technical personnel in this field can set it by themselves according to the factory requirements of the compressor or actual situation, and this application does not impose any restrictions on this.

[0073] Therefore, it can be concluded that the energy consumption evaluation results and stability evaluation results can be obtained according to the voltage and current respectively. When the compressor consumes more electricity during operation and the compressor has more voltage and current harmonics and fluctuations, that is, the energy consumption evaluation result or the stability evaluation result is lower, the aging degree evaluation result is also lower, indicating that the aging degree of the compressor is more serious.

[0074] In one possible implementation, refer to Figure 2 , step S4, before receiving the electrical parameters fed back by the compressor during detection, it also includes steps A1-A3.

[0075] A1, obtaining the communication status of the sensor device, and sending an information collection instruction to the sensor device if the communication of the sensor device is normal; the information collection instruction is used to control the sensor device to collect information;

[0076] A2, receiving the sensor parameters returned by the sensor device during the compressor detection, and evaluating the aging degree of the compressor based on the sensor parameters to obtain a second aging degree evaluation result; wherein the second aging degree evaluation result is used to correct the aging degree evaluation result; the sensor parameters include one or more of the actual noise of the compressor, the actual temperature of the compressor body, the actual exhaust pressure, and the actual return air pressure.

[0077] In a possible implementation, step A2, evaluating the aging degree of the compressor based on the sensing parameters to obtain a second aging degree evaluation result, specifically includes steps A21-A24.

[0078] A21, evaluating the noise of the compressor based on the actual noise to obtain a noise evaluation result;

[0079] Exemplarily, the noise evaluation result can be obtained in the following manner: the noise deviation is calculated based on the actual noise and the preset reference noise, where the noise deviation = actual noise - reference noise; and the noise of the compressor is evaluated based on the noise deviation to obtain a noise evaluation result. When the noise deviation is greater than 0 and the value of the noise deviation is larger, the noise evaluation result is lower.

[0080] A22, evaluating heat generation of the compressor based on the actual temperature of the compressor body to obtain a heat generation evaluation result;

[0081] Exemplarily, the heat production evaluation result can be obtained in the following manner: based on the actual temperature of the body and the preset body reference temperature, the temperature deviation is calculated, and the temperature deviation = the actual temperature of the body - the body reference temperature; then the heat production of the compressor is evaluated according to the temperature deviation to obtain the heat production evaluation result. When the temperature deviation is greater than 0, and the value of the temperature deviation is larger, the lower the heat production evaluation result.

[0082] A23 calculates an actual pressure difference and an actual pressure ratio based on the actual exhaust pressure and the actual return air pressure; and evaluates the compression efficiency of the compressor based on the actual pressure difference and the actual pressure ratio to obtain a compression efficiency evaluation result; actual pressure difference = return air pressure - exhaust pressure, actual pressure ratio = exhaust pressure / return air pressure;

[0083] Exemplarily, the compression efficiency evaluation result may be obtained in the following manner: based on the actual pressure difference and a preset reference pressure difference, a pressure difference deviation is calculated, where pressure difference deviation = actual pressure difference - reference pressure difference; based on the actual pressure ratio and a preset reference pressure ratio, a pressure ratio deviation is calculated, where pressure ratio deviation = actual pressure ratio - reference pressure ratio; and the compression efficiency of the compressor is evaluated by combining the pressure difference deviation and the pressure ratio deviation to obtain a compression efficiency evaluation result.

[0084] Ideally, an efficient compressor has a higher return gas pressure and a lower exhaust gas pressure, which means that the refrigerant can be compressed effectively without requiring excessive energy. Therefore, when the pressure difference deviation is less than 0, the smaller the pressure difference deviation value, the lower the compression efficiency evaluation result.

[0085] The ratio of the compressor exhaust pressure to the return gas pressure indicates how much resistance the compressor is overcoming to circulate the refrigerant. Therefore, when the pressure ratio deviation is less than 0, the smaller the pressure ratio deviation value, the lower the compression efficiency evaluation result.

[0086] A24, obtaining a second aging degree evaluation result based on the noise evaluation result, the heat generation evaluation result, and the compression efficiency evaluation result;

[0087] Wherein, the second aging degree assessment result A2=k3*A noi +k4*A hea +k5*A eff ;

[0088] A noi is the noise evaluation result, k3 is the noise proportional coefficient, A hea is the heat production evaluation result, k4 is the heat production ratio coefficient, A eff is the compression efficiency evaluation result, and k5 is the compression efficiency proportional coefficient.

[0089] It can be obtained that, based on the actual noise, actual body temperature, actual pressure difference and actual pressure ratio, the evaluation results of the compressor in terms of noise, heat generation and compression efficiency are obtained respectively. When the noise is greater, the actual body temperature is higher, the actual pressure difference or the actual pressure ratio is smaller during the operation of the compressor, that is, the noise evaluation result, heat generation evaluation result, and compression efficiency evaluation result are lower, the aging degree evaluation result is also lower, indicating that the aging degree of the compressor is more serious.

[0090] In a possible implementation, step A2, wherein the second aging degree assessment result is used to correct the aging degree assessment result, specifically includes:

[0091] The corrected aging assessment result is A=m1*A1+m2*A2;

[0092] Wherein, A1 is the aging degree evaluation result before correction, m1 is the first evaluation coefficient, A2 is the second aging degree evaluation result, and m2 is the second evaluation coefficient.

[0093] Therefore, on the one hand, electrical parameters are obtained by directly communicating with the compressor; on the other hand, parameters related to compressor aging, such as noise, body temperature, actual exhaust pressure, actual return air pressure, etc., are detected by adding peripheral sensor equipment to obtain a second aging degree assessment result, and then the obtained aging degree assessment result is corrected, so that the judgment of the aging condition of the compressor is more accurate and comprehensive.

[0094] In a possible implementation, after obtaining the second aging degree assessment result in step A2, the method further includes step A3:

[0095] A3. Evaluate the aging degree of the compressor based on the actual number of startups of the compressor during detection to obtain a third aging degree evaluation result; wherein the third aging degree evaluation result is used to perform a secondary correction on the aging degree evaluation result.

[0096] It is understandable that the greater the actual number of starts during a certain test, the more serious the aging of the compressor;

[0097] For example, the secondary-corrected aging degree assessment result B=n*aging degree assessment result A; wherein n is a secondary correction coefficient, and n is determined by the actual number of starts of the compressor during this detection.

[0098] Due to the aging and use of the compressor, the compressor may not be able to start successfully at one time during a certain inspection. That is to say, the actual number of starts of the compressor during the inspection may be 1 time or multiple times. Therefore, by using the actual number of starts of the compressor during the inspection as an indicator for evaluating the aging degree of the compressor, the accuracy of the compressor aging degree assessment is further improved.

[0099] S5, recording the actual detection times of the compressor in real time, and when the actual detection times of the compressor reaches the target detection times, cutting off the connection circuit between the compressor and the power supply.

[0100] Through the above steps S1-S5, not only is the compressor automatically powered on, but the compressor is also automatically powered off when the detection is completed, which has higher safety.

[0101] In a possible implementation, after step S5, cutting off the connection circuit between the compressor and the power supply, steps S6-S8 are further included.

[0102] S6, drawing an aging degree change curve of the compressor based on the aging degree evaluation result corresponding to each detection;

[0103] S7, removing abnormal data from the aging degree change curve to obtain an optimized aging degree change curve;

[0104] S8. Marking characteristic points in the optimized aging degree change curve; wherein the characteristic points represent points where the attenuation of the aging degree reaches a preset attenuation condition.

[0105] Through steps S6-S8, a corresponding curve can be drawn according to the aging degree evaluation results corresponding to each test. By optimizing the curve and marking the points with the largest aging degree attenuation, it is convenient for staff to understand the aging situation.

[0106] In a possible implementation, after step S3, sending the operation instruction to the compressor, the following steps are further included:

[0107] Obtaining the startup status of the compressor, if the compressor fails to start and the current actual number of detections of the compressor has not reached the target number of detections;

[0108] Then, the system attempts to continuously send operating instructions to the compressor until the number of attempts reaches a preset threshold, then determines that the compressor has failed to start, and cuts off the connection circuit between the compressor and the power supply.

[0109] Through the above steps, when the detection is not completed, there is a problem with the startup of the compressor, and it cannot be solved after multiple attempts, which means that the compressor is damaged, the power supply of the compressor is directly cut off to ensure safety.

[0110] The reference values ​​described in the embodiments of the present application, including preset reference energy consumption, reference noise, body reference temperature, reference pressure difference, reference pressure ratio, etc., can all be set to corresponding values ​​when the compressor performance is not lost, that is, when no aging occurs. Those skilled in the art can flexibly adjust them according to actual conditions, and this application does not impose any restrictions on this.

[0111] The embodiment of the present application provides an aging detection system for electric vehicle air-conditioning compressor, such as Figure 3 As shown, the system includes a control board; the control board is used to obtain the communication status of the compressor, and if the communication of the compressor is normal, the connection circuit between the compressor and the power supply is connected to power the compressor;

[0112] The control panel is further configured to obtain compressor model information and select an aging detection method corresponding to the compressor model; the aging detection method includes a target number of detections, a mode corresponding to each detection, and a target temperature;

[0113] The control board is further configured to generate a corresponding operating instruction based on the aging detection method and send the operating instruction to the compressor; wherein the operating instruction is configured to start the compressor during each detection and control the compressor to operate according to the corresponding mode and target temperature;

[0114] The control board is further configured to receive electrical parameters fed back by the compressor during testing, and to evaluate the aging degree of the compressor based on the electrical parameters, thereby obtaining an aging degree evaluation result corresponding to each test; wherein the electrical parameters include voltage and current;

[0115] The control panel is also used to record the actual detection times of the compressor in real time, and cut off the connection circuit between the compressor and the power supply when the actual detection times of the compressor reaches the target detection times.

[0116] Further, refer to Figure 3 The system may further include an auxiliary power supply, which is used to power the control board; a first power supply path that is always on is connected between the power supply and the compressor, and the power supply is also connected to the compressor through the control board to form a second power supply path. When the control board disconnects the second power supply path, the compressor cannot start and run. When the controller connects the second power supply path, the compressor can start and run.

[0117] Preferably, the control board and the compressor are connected via CAN communication.

[0118] An embodiment of the present application provides a terminal, which includes: a processor, a memory and a communication bus; the communication bus is used to realize connection and communication between the processor and the memory, and the processor is used to execute one or more programs stored in the memory to implement the aging detection method for the electric vehicle air-conditioning compressor as described in the above embodiment.

[0119] An embodiment of the present application provides a computer-readable storage medium storing instructions. When the instructions are executed, the aging detection method for the electric vehicle air-conditioning compressor described in the above embodiment is executed.

[0120] The above are all preferred embodiments of the present application, and are not intended to limit the scope of protection of the present application. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the scope of protection of the present application.

Claims

1. A method for detecting aging of electric vehicle air-conditioning compressors, characterized in that: include: Acquiring the communication status of the compressor, and if the communication of the compressor is normal, connecting the connection circuit between the compressor and the power supply to power on the compressor; Obtaining compressor model information and selecting an aging detection method corresponding to the compressor model; the aging detection method includes a target number of detections, a mode corresponding to each detection, and a target temperature; Based on the aging detection method, a corresponding operating instruction is generated and sent to the compressor; wherein the operating instruction is used to start the compressor during each detection and control the compressor to operate according to the corresponding mode and target temperature; receiving electrical parameters fed back by the compressor during detection, and evaluating the aging degree of the compressor based on the electrical parameters to obtain an aging degree evaluation result corresponding to each detection; wherein the electrical parameters include voltage and current; Recording the actual number of detections of the compressor in real time, and when the actual number of detections of the compressor reaches a target number of detections, cutting off the connection circuit between the compressor and the power supply; After cutting off the connection circuit between the compressor and the power supply, the method further includes: Based on the aging degree evaluation results corresponding to each test, a curve of the aging degree of the compressor is drawn; Eliminating abnormal data in the aging degree change curve to obtain an optimized aging degree change curve; For the optimized aging degree change curve, a characteristic point in the aging degree change curve is marked; wherein the characteristic point represents a point at which the attenuation condition of the compressor aging degree reaches a preset attenuation condition; The aging degree of the compressor is evaluated based on the electrical parameters to obtain an aging degree evaluation result corresponding to each test, specifically including: Calculating actual total energy consumption based on the voltage and the current; evaluating the energy consumption of the compressor based on the actual total energy consumption to obtain an energy consumption evaluation result; analyzing harmonics and fluctuation conditions in the voltage and the current based on the voltage and the current, and evaluating power supply stability of the compressor based on the harmonics and the fluctuation conditions to obtain a stability evaluation result; Obtaining an aging degree assessment result based on the energy consumption assessment result and the stability assessment result; Wherein, the aging degree evaluation result A1=k1*A con +k2*A sta ; A con is the energy consumption evaluation result, k1 is the energy consumption ratio coefficient, A sta is the stability evaluation result, k2 is the stability proportional coefficient; Before receiving the electrical parameters fed back by the compressor during detection, the method further includes: Acquiring the communication status of the sensor device, and sending an information collection instruction to the sensor device if the communication of the sensor device is normal; the information collection instruction is used to control the sensor device to collect information; receiving sensing parameters returned by the sensing device during the compressor detection, and evaluating the aging degree of the compressor based on the sensing parameters to obtain a second aging degree evaluation result; the second aging degree evaluation result is used to correct the aging degree evaluation result; the sensing parameters include one or more of actual noise of the compressor, actual temperature of the compressor body, actual exhaust pressure, and actual return air pressure; The step of evaluating the aging degree of the compressor based on the sensing parameters to obtain a second aging degree evaluation result specifically includes: evaluating the noise of the compressor based on the actual noise to obtain a noise evaluation result; Evaluating the heat generation of the compressor based on the actual temperature of the compressor body to obtain a heat generation evaluation result; Calculating an actual pressure difference and an actual pressure ratio based on the actual exhaust pressure and the actual return air pressure, and evaluating the compression efficiency of the compressor based on the actual pressure difference and the actual pressure ratio to obtain a compression efficiency evaluation result; The actual pressure difference = return air pressure - exhaust pressure, and the actual pressure ratio = exhaust pressure / return air pressure; obtaining a second degradation degree evaluation result based on the noise evaluation result, the heat generation evaluation result, and the compression efficiency evaluation result; Wherein, the second aging degree assessment result A2=k3*A noi +k4*A hea +k5*A eff ; A noi is the noise evaluation result, k3 is the noise proportional coefficient, A hea is the heat production evaluation result, k4 is the heat production ratio coefficient, A eff is the compression efficiency evaluation result, k5 is the compression efficiency proportional coefficient; The second aging degree assessment result is used to correct the aging degree assessment result, specifically including: The corrected aging assessment result is A=m1*A1+m2*A2; Wherein, A1 is the aging degree assessment result before correction, m1 is the first assessment coefficient, A2 is the second aging degree assessment result, and m2 is the second assessment coefficient; The step of evaluating the compression efficiency of the compressor based on the actual pressure difference and the actual pressure ratio specifically includes: Calculating a pressure difference deviation based on the actual pressure difference and a preset reference pressure difference; calculating a pressure ratio deviation based on the actual pressure ratio and a preset reference pressure ratio; evaluating the compression efficiency of the compressor based on the pressure difference deviation and the pressure ratio deviation; After sending the operating instruction to the compressor, it also includes: obtaining the startup status of the compressor. If the compressor fails to start and the current actual number of detections of the compressor has not reached the target number of detections; then trying to continuously send operating instructions to the compressor until the number of attempts reaches a preset number threshold, then determining that the compressor has failed to start, and cutting off the connection circuit between the compressor and the power supply.

2. A terminal, characterized in that: include: A processor, a memory and a communication bus; the communication bus is used to realize connection and communication between the processor and the memory, and the processor is used to execute one or more programs stored in the memory to implement the aging detection method for the electric vehicle air-conditioning compressor as claimed in claim 1.

3. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, the aging detection method for an electric vehicle air-conditioning compressor according to claim 1 is executed.

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