Electric vehicle insulation safety detection method and system

Abstract

The invention relates to the technical field of insulation detection, and discloses an electric vehicle insulation safety detection method and system, and the method comprises the steps: obtaining the vehicle environment information of a target vehicle based on an environment detection period, obtaining the vehicle state information of the target vehicle based on a state detection period, and obtaining the fault recording information of the target vehicle; calculating environment aging factor parameters based on the vehicle environment information, calculating state aging factor parameters based on the vehicle state information, and calculating fault damage factor parameters based on the fault record information; based on the environment aging factor parameter, the state aging factor parameter and the fault damage factor parameter, calculating an insulation degradation evaluation value; when the target vehicle is in a maintenance state, determining a corresponding insulation degradation grade based on the insulation degradation evaluation value to match an insulation detection scheme, and resetting an insulation degradation evaluation initial value based on the completed insulation detection scheme and a detection result; the method has the effect of improving the pertinence of the insulation detection of the electric vehicle.

Description

Technical Field

[0001] The present application relates to the technical field of insulation detection, and in particular to a method and system for detecting insulation safety of electric vehicles. Background Art

[0002] With the advancement of automotive battery technology, more and more cars are starting to use electricity as a power source, and even some traditional fuel vehicles are beginning to be equipped with batteries in order to realize the function of kinetic energy recovery and improve the economy of the vehicle when driving at low speeds; however, since electric vehicles often need to be exposed to wind, rain, sun and other environments, the insulation of electric vehicles is crucial. At present, the detection of the insulation of electric vehicles is mainly to use resistance and potential detection instruments to detect electrical parameters of specific potentials on electric vehicles before the vehicle leaves the factory, and then determine whether the insulation of the electric vehicle is qualified. On the other hand, the detection device preset on the electric vehicle automatically detects insulation faults, so that the fault signal light is turned on when the fault is detected; it can be seen that the above-mentioned related technologies have the problem of poor pertinence in the detection of insulation of electric vehicles. Summary of the invention

[0003] In order to improve the pertinence of insulation testing for electric vehicles, the present application provides an insulation safety testing method and system for electric vehicles.

[0004] The first invention objective of this application is achieved by adopting the following technical solution:

[0005] A method for detecting insulation safety of an electric vehicle, comprising:

[0006] Acquire vehicle environment information of the target vehicle based on a preset environment detection cycle, acquire vehicle status information of the target vehicle based on a preset status detection cycle, and acquire fault record information of the target vehicle;

[0007] Calculate environmental aging factor parameters based on the vehicle environmental information, calculate state aging factor parameters based on the vehicle state information, and calculate fault damage factor parameters based on the fault record information;

[0008] Calculate insulation degradation assessment value based on environmental aging factor parameters, state aging factor parameters and fault damage factor parameters;

[0009] When the target vehicle is in a maintenance state, a corresponding insulation degradation level is determined based on the insulation degradation assessment value to match the insulation detection scheme, and an insulation degradation assessment initial value is reset based on the completed insulation detection scheme and the detection result;

[0010] The vehicle environment information includes rainfall, light intensity, air temperature, and air humidity data of several environmental detection cycles; the vehicle status information includes input current, output current, and battery temperature data of the power battery pack of several status detection cycles; and the fault record information includes accident records and vehicle maintenance items.

[0011] By adopting the above technical scheme, the vehicle environment information is regularly obtained according to the environment detection cycle, the vehicle status information is regularly obtained according to the status detection cycle, and the fault record information is obtained, so as to know the historical environment conditions of the target vehicle, the power consumption parameters of the power battery pack and the fault conditions, etc.; based on the vehicle environment information, the vehicle status information and the fault record information, the environmental aging factor parameters, the status aging factor parameters and the fault damage factor parameters are respectively calculated, so as to quantitatively analyze the influence of the vehicle environment factors, the power battery working state factors and the vehicle fault factors on the insulation performance degradation of the target vehicle; based on the environmental aging factor parameters, the status aging factor parameters and the fault damage factor parameters, the comprehensive The insulation degradation of the target vehicle is evaluated comprehensively, and the insulation degradation evaluation value is calculated to be used as data for evaluating the overall insulation degradation of the target vehicle; when the target vehicle is in a maintenance state due to maintenance or repair, the corresponding insulation degradation level is determined according to the size of the insulation degradation evaluation value, and the insulation detection scheme is matched according to the insulation degradation level to perform insulation detection on the target vehicle; based on the completed insulation detection scheme and the detection result, the initial insulation degradation evaluation value is reset to enable the insulation performance degradation of the target vehicle to be re-evaluated later, and by judging whether the target vehicle needs to be tested for insulation, the pertinence of insulation detection on electric vehicles is improved.

[0012] In a preferred example of the present application, the environmental aging factor parameters are calculated based on the vehicle environmental information, the state aging factor parameters are calculated based on the vehicle state information, and the fault damage factor parameters are calculated based on the fault record information, including:

[0013] Determine the completion time T of the last insulation test of the target vehicle n , based on the vehicle environment information, generate the rainfall time function F A1 (t), light intensity time function F A2 (t), air temperature time function F A3 (t), air humidity time function F A4 (t);

[0014] Based on the vehicle status information, generate the input current time function F B1 (t), output current time function F B2 (t), battery temperature time function F B3 (t);

[0015] Based on the fault record information, the total amount of accident repairs of the target vehicle from the last insulation test completion time to the present is counted and the single insurance premium increase Z0, and count the number of vehicle maintenance items of several relevant levels related to the safety of power battery packs X i and the corresponding project impact coefficient C i ;

[0016] Calculate the environmental aging factor parameters, the state aging factor parameters and the fault damage factor parameters based on the preset environmental aging factor parameter calculation formula, the state aging factor parameter calculation formula and the fault damage factor parameter calculation formula;

[0017] The environmental aging factor parameter calculation formula is:

[0018]

[0019] The state aging factor parameter calculation formula is:

[0020]

[0021] The calculation formula of the fault damage factor parameter is:

[0022]

[0023] Among them, N is the current time node, y is the accident identifier, and y N T n The number of accidents during the period from Z to N, y is the maintenance amount of the yth accident, i is the relevant level identifier, m is the number of relevant levels; j1, j2, j3, j4 are the first environmental coefficient, the second environmental coefficient, the third environmental coefficient, and the fourth environmental coefficient, k1, k2, k3 are the first state coefficient, the second state coefficient, and the third state coefficient, l1 and l2 are the first fault coefficient and the second fault coefficient, respectively.

[0024] By adopting the above technical solution, the completion time of the last insulation test of the target vehicle is determined so as to restart the analysis of the insulation degradation of the target vehicle, and a function of the relationship between rainfall, light intensity, air temperature, air humidity and time is generated based on the vehicle environmental information, so as to subsequently quantitatively analyze the impact of the vehicle environment on its insulation degradation; a function of the relationship between current, output current, battery temperature and time is generated based on the vehicle status information, so as to subsequently quantitatively analyze the impact of the working status of the vehicle power battery pack on its insulation degradation; based on the fault record information, the total amount of accident repairs of the target vehicle since the completion time of the last insulation test, the increase in insurance value for a single accident, several relevant levels of vehicle maintenance items related to the safety of the power battery pack and the corresponding project impact coefficients are counted, so as to subsequently quantitatively analyze the impact of vehicle accidents and repairs on its insulation degradation; environmental aging factor parameters, status aging factor parameters and fault damage factor parameters are calculated, so as to subsequently quantitatively and comprehensively evaluate the insulation degradation of the target vehicle.

[0025] In a preferred example of the present application, the insulation degradation assessment value is calculated based on the environmental aging factor parameter, the state aging factor parameter and the fault damage factor parameter, including:

[0026] Obtaining the insulation degradation assessment initial value R0 of the target vehicle when the last insulation test was completed;

[0027] Based on the environmental aging factor parameter S1, the state aging factor parameter S2 and the fault damage factor parameter S3, the insulation degradation evaluation value is calculated, and the calculation formula of the insulation degradation evaluation value is:

[0028] R=R0+S1+S2+S3

[0029] By adopting the above technical solution, the current insulation degradation assessment value is calculated based on the initial insulation degradation assessment value when the last insulation test of the target vehicle was completed and the sum of the environmental aging factor parameters, the state aging factor parameters, and the fault damage factor parameters, so as to know the insulation degradation status of the current target vehicle.

[0030] In a preferred example of the present application, when the target vehicle is in a maintenance state, the corresponding insulation degradation level is determined based on the insulation degradation evaluation value to match the insulation detection scheme, and the insulation degradation evaluation initial value is reset based on the completed insulation detection scheme and the detection result, including:

[0031] When a target vehicle maintenance signal is received, an insulation degradation assessment value of the target vehicle is obtained, and an insulation degradation level of the target vehicle is determined based on the insulation degradation assessment value and a preset level matching table;

[0032] Based on the insulation degradation level and the preset scheme matching form, the insulation detection scheme of the target vehicle is determined and sent to the maintenance terminal;

[0033] When the detection result sent by the maintenance terminal is received, the insulation degradation evaluation initial value of the target vehicle is determined and reset from a preset initial value matching table based on the detection result.

[0034] By adopting the above technical solution, when the target vehicle is in a maintenance state entering a repair shop, a maintenance signal of the target vehicle is received, an insulation degradation assessment value of the target vehicle is obtained and matched with a preset level matching form to determine the insulation degradation level; the insulation degradation level is matched with a preset scheme matching form to determine the insulation detection scheme of the target vehicle, and the insulation detection scheme is sent to a maintenance terminal so that maintenance personnel can perform insulation detection on the target vehicle according to the matched insulation detection scheme; when a test result sent by the maintenance terminal is received, the value of the corresponding insulation degradation assessment initial value is matched from the initial value matching form based on the test result to reset the insulation degradation assessment initial value, so as to facilitate the subsequent restart of the insulation degradation assessment of the target vehicle.

[0035] In a preferred example of the present application, after calculating the insulation degradation assessment value based on the environmental aging factor parameter, the state aging factor parameter and the fault damage factor parameter, the method includes:

[0036] When the insulation degradation assessment value is greater than a preset degradation threshold, an insulation degradation warning signal is generated and sent to the vehicle-mounted terminal.

[0037] By adopting the above technical solution, when the insulation degradation assessment value is greater than the degradation threshold, it is considered that the insulation performance of the current target vehicle is seriously degraded and insulation performance detection is required. An insulation degradation warning signal is generated and sent to the on-board terminal to inform the driver to send the vehicle for inspection in time.

[0038] The second invention objective of this application is achieved by the following technical solution:

[0039] An electric vehicle insulation safety detection system, applied to any of the electric vehicle insulation safety detection methods described above, comprising:

[0040] An insulation degradation information acquisition module, used to acquire vehicle environment information of a target vehicle based on a preset environment detection cycle, acquire vehicle state information of the target vehicle based on a preset state detection cycle, and acquire fault record information of the target vehicle;

[0041] A degradation factor parameter calculation module, used to calculate environmental aging factor parameters based on the vehicle environment information, calculate state aging factor parameters based on the vehicle state information, and calculate fault damage factor parameters based on the fault record information;

[0042] An insulation degradation assessment value calculation module, used to calculate the insulation degradation assessment value based on environmental aging factor parameters, state aging factor parameters and fault damage factor parameters;

[0043] An insulation detection and value reset module, which is used to determine the corresponding insulation degradation level based on the insulation degradation assessment value when the target vehicle is in a maintenance state, so as to match the insulation detection scheme, and reset the insulation degradation assessment initial value based on the completed insulation detection scheme and the detection result;

[0044] The vehicle environment information includes rainfall, light intensity, air temperature, and air humidity data of several environmental detection cycles; the vehicle status information includes input current, output current, and battery temperature data of the power battery pack of several status detection cycles; and the fault record information includes accident records and vehicle maintenance items.

[0045] In a preferred example of the present application: the degradation factor parameter calculation module includes:

[0046] The environmental time function generation submodule is used to determine the completion time T of the last insulation test of the target vehicle n , based on the vehicle environment information, generate the rainfall time function F A1 (t), light intensity time function F A2 (t), air temperature time function F A3 (t), air humidity time function F A4 (t);

[0047] The state time function generation submodule is used to generate the input current time function F based on the vehicle state information. B1 (t), output current time function F B2 (t), battery temperature time function F B3 (t);

[0048] The fault record analysis submodule is used to calculate the total amount of accident repairs of the target vehicle from the last insulation test completion time to the present based on the fault record information. and the single insurance premium increase Z0, and count the number of vehicle maintenance items of several relevant levels related to the safety of power battery packs X i and the corresponding project impact coefficient C i ;

[0049] A multi-factor parameter calculation submodule, used to calculate environmental aging factor parameters, state aging factor parameters and fault damage factor parameters based on preset environmental aging factor parameter calculation formulas, state aging factor parameter calculation formulas and fault damage factor parameter calculation formulas;

[0050] The environmental aging factor parameter calculation formula is:

[0051]

[0052] The state aging factor parameter calculation formula is:

[0053]

[0054] The calculation formula of the fault damage factor parameter is:

[0055]

[0056] Among them, N is the current time node, y is the accident identifier, and y N T n The number of accidents during the period from Z to N, y is the maintenance amount of the yth accident, i is the relevant level identifier, m is the number of relevant levels; j1, j2, j3, j4 are the first environmental coefficient, the second environmental coefficient, the third environmental coefficient, and the fourth environmental coefficient, k1, k2, k3 are the first state coefficient, the second state coefficient, and the third state coefficient, l1 and l2 are the first fault coefficient and the second fault coefficient, respectively.

[0057] In a preferred example of the present application: the insulation degradation assessment value calculation module includes:

[0058] The insulation degradation assessment initial value acquisition submodule is used to obtain the insulation degradation assessment initial value R0 when the last insulation test of the target vehicle is completed;

[0059] The insulation degradation assessment submodule is used to calculate the insulation degradation assessment value based on the environmental aging factor parameter S1, the state aging factor parameter S2 and the fault damage factor parameter S3. The calculation formula of the insulation degradation assessment value is:

[0060] R=R0+S1+S2+S3

[0061] The third invention objective of this application is achieved by the following technical solution:

[0062] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the electric vehicle insulation safety detection method are implemented.

[0063] The fourth invention objective of this application is achieved by the following technical solution:

[0064] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the electric vehicle insulation safety detection method are implemented.

[0065] In summary, the present application includes at least one of the following beneficial technical effects:

[0066] 1. Regularly obtain vehicle environmental information according to the environmental detection cycle, regularly obtain vehicle status information according to the status detection cycle, and obtain fault record information, so as to know the historical environmental conditions of the target vehicle, the power consumption parameters of the power battery pack, and the fault conditions, etc.; calculate the environmental aging factor parameters, state aging factor parameters, and fault damage factor parameters based on the vehicle environmental information, vehicle status information, and fault record information, so as to quantitatively analyze the impact of the vehicle's environmental factors, power battery working status factors, and vehicle fault factors on the degradation of the insulation performance of the target vehicle; based on the environmental aging factor parameters, state aging factor parameters, and fault damage factor parameters, comprehensively evaluate the target The insulation degradation evaluation value is calculated based on the insulation degradation of the vehicle so as to be used as data for evaluating the overall insulation degradation of the target vehicle. When the target vehicle is in a maintenance state due to maintenance or repair, the corresponding insulation degradation level is determined according to the insulation degradation evaluation value. The insulation detection scheme is matched according to the insulation degradation level to perform insulation detection on the target vehicle. Based on the completed insulation detection scheme and the detection results, the initial insulation degradation evaluation value is reset so as to re-evaluate the insulation performance degradation of the target vehicle later. By judging whether the target vehicle needs insulation detection, the pertinence of insulation detection on electric vehicles is improved.

[0067] 2. Determine the completion time of the last insulation test on the target vehicle in order to restart the analysis of the insulation degradation of the target vehicle, and generate a function of the relationship between rainfall, light intensity, air temperature, air humidity and time based on the vehicle environmental information, so as to subsequently quantitatively analyze the impact of the vehicle's environment on its insulation degradation; generate a function of the relationship between current, output current, battery temperature and time based on the vehicle status information, so as to subsequently quantitatively analyze the impact of the working state of the vehicle's power battery pack on its insulation degradation; based on the fault record information, count the total amount of accident repairs, the increase in insurance value for a single accident, several related levels of vehicle maintenance items related to the safety of the power battery pack and the corresponding project impact coefficients of the target vehicle since the completion time of the last insulation test, so as to subsequently quantitatively analyze the impact of vehicle accidents and repairs on its insulation degradation; calculate the environmental aging factor parameters, state aging factor parameters and fault damage factor parameters, so as to subsequently quantitatively and comprehensively evaluate the insulation degradation of the target vehicle.

[0068] 3. Based on the initial insulation degradation assessment value when the last insulation test of the target vehicle was completed and the sum of the environmental aging factor parameters, state aging factor parameters, and fault damage factor parameters, calculate the current insulation degradation assessment value to obtain the insulation degradation status of the current target vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 It is a flow chart of the electric vehicle insulation safety detection method in Example 1 of the present application.

[0070] Figure 2 It is a principle block diagram of the electric vehicle insulation safety detection system in the second embodiment of the present application.

[0071] Figure 3 It is a schematic diagram of the equipment in Example 3 of the present application. DETAILED DESCRIPTION

[0072] The following is combined with Figures 1 to 3 This application is described in further detail.

[0073] Embodiment 1

[0074] Reference Figure 1 The present application discloses a method for detecting the insulation safety of an electric vehicle, which specifically comprises the following steps:

[0075] S10: Acquire vehicle environment information of the target vehicle based on a preset environment detection cycle, acquire vehicle state information of the target vehicle based on a preset state detection cycle, and acquire fault record information of the target vehicle.

[0076] In this embodiment, the vehicle environmental information includes rainfall, light intensity, air temperature, and air humidity data of several environmental detection cycles, wherein the vehicle environmental information refers to the information of the external environment measured by the vehicle-mounted sensor. When the vehicle lacks a certain sensor, the vehicle location is obtained, the local weather report is obtained, and the vehicle environmental information of the current location of the vehicle is judged in combination with the indoor / outdoor state of the vehicle; the vehicle status information includes the input current, output current, and battery temperature data of the power battery pack of several status detection cycles; the fault record information includes accident records and vehicle maintenance items, which can be specifically obtained from the traffic accident report record, maintenance and repair files, and maintenance project files associated with the target vehicle identification.

[0077] Specifically, vehicle environmental information is regularly acquired according to an environmental detection cycle, vehicle status information is regularly acquired according to a status detection cycle, and fault record information is acquired, so as to learn the historical environmental conditions of the target vehicle, the power usage parameters of the power battery pack, and fault conditions, etc.

[0078] S20: Calculating environmental aging factor parameters based on the vehicle environmental information, calculating state aging factor parameters based on the vehicle state information, and calculating fault damage factor parameters based on the fault record information.

[0079] Specifically, based on the vehicle environment information, vehicle status information, and fault record information, environmental aging factor parameters, status aging factor parameters, and fault damage factor parameters are calculated respectively, so as to quantitatively analyze the impact of the vehicle's environmental factors, power battery working status factors, and vehicle fault factors on the degradation of the target vehicle's insulation performance.

[0080] Wherein, in step S20, it includes:

[0081] S21: Determine the completion time T of the last insulation test of the target vehicle n , based on the vehicle environment information, generate the rainfall time function F A1 (t), light intensity time function F A2 (t), air temperature time function F A3 (t), air humidity time function F A4 (t).

[0082] Specifically, the completion time of the last insulation test on the target vehicle is determined in order to restart the analysis of the insulation degradation of the target vehicle, and the functions of the relationship between rainfall, light intensity and time, air temperature and time, and air humidity and time are generated according to the vehicle environmental information, so as to subsequently quantitatively analyze the impact of the vehicle's environment on its insulation degradation.

[0083] S22: Generate input current time function F based on vehicle status information B1 (t), output current time function F B2 (t), battery temperature time function F B3 (t).

[0084] In this embodiment,

[0085] Specifically, based on the vehicle status information, a function of the relationship between current and time, a function of the relationship between output current and time, and a function of the relationship between battery temperature and time are generated to facilitate subsequent quantitative analysis of the impact of the working status of the vehicle power battery pack on its insulation degradation.

[0086] S23: Based on the fault record information, the total amount of accident repairs of the target vehicle from the time of the last insulation test completion to the present is counted and the single insurance premium increase Z0, and count the number of vehicle maintenance items of several relevant levels related to the safety of power battery packs X i and the corresponding project impact coefficient C i .

[0087] Specifically, based on the fault record information, the total amount of accident repairs of the target vehicle since the last completion of the insulation inspection, the increase in insurance value for a single accident, several relevant levels of vehicle maintenance items related to the safety of the power battery pack and the corresponding item impact coefficients are counted, so as to facilitate the subsequent quantitative analysis of the impact of vehicle accidents and repairs on its insulation degradation.

[0088] S24: Calculate environmental aging factor parameters, state aging factor parameters, and fault damage factor parameters based on preset environmental aging factor parameter calculation formulas, state aging factor parameter calculation formulas, and fault damage factor parameter calculation formulas.

[0089] In this embodiment, the environmental aging factor parameter calculation formula is:

[0090]

[0091] The calculation formula of the state aging factor parameter is:

[0092]

[0093] The calculation formula of the fault damage factor parameters is:

[0094]

[0095] Among them, N is the current time node, y is the accident identifier, and y N T n The number of accidents during the period from Z to N, y is the maintenance amount of the yth accident, i is the relevant level identifier, m is the number of relevant levels; j1, j2, j3, j4 are the first environmental coefficient, the second environmental coefficient, the third environmental coefficient, and the fourth environmental coefficient, k1, k2, k3 are the first state coefficient, the second state coefficient, and the third state coefficient, l1 and l2 are the first fault coefficient and the second fault coefficient, respectively.

[0096] Specifically, the environmental aging factor parameters, the state aging factor parameters and the fault damage factor parameters are calculated so as to subsequently quantitatively and comprehensively evaluate the insulation degradation of the target vehicle.

[0097] S30: Calculating an insulation degradation assessment value based on the environmental aging factor parameter, the state aging factor parameter, and the fault damage factor parameter.

[0098] Specifically, based on the environmental aging factor parameters, the state aging factor parameters and the fault damage factor parameters, the insulation performance degradation of the target vehicle is comprehensively evaluated, and the insulation degradation evaluation value is calculated to be used as data for evaluating the overall insulation degradation of the target vehicle.

[0099] Wherein, in step S30, it includes:

[0100] S31: Acquire the insulation degradation assessment initial value R0 when the last insulation inspection of the target vehicle is completed.

[0101] S32: Calculate the insulation degradation evaluation value based on the environmental aging factor parameter S1, the state aging factor parameter S2 and the fault damage factor parameter S3.

[0102] In this embodiment, the calculation formula of the insulation degradation evaluation value is:

[0103] R=R0+S1+S2+S3

[0104] Specifically, based on the initial insulation degradation assessment value when the last insulation test of the target vehicle was completed and the sum of the environmental aging factor parameters, the state aging factor parameters, and the fault damage factor parameters, the current insulation degradation assessment value is calculated to obtain the insulation degradation status of the current target vehicle.

[0105] S40: When the target vehicle is in a maintenance state, a corresponding insulation degradation level is determined based on the insulation degradation assessment value to match the insulation detection scheme, and an insulation degradation assessment initial value is reset based on the completed insulation detection scheme and the detection result.

[0106] In this embodiment, the maintenance state refers to a state in which the vehicle enters a car repair shop for maintenance or repair.

[0107] Specifically, when the target vehicle is in a maintenance state due to maintenance or repair, the corresponding insulation degradation level is determined according to the size of the insulation degradation assessment value, and the insulation detection scheme is matched according to the insulation degradation level to perform insulation detection on the target vehicle. Based on the completed insulation detection scheme and the detection result, the initial insulation degradation assessment value is reset to allow the insulation performance degradation of the target vehicle to be re-evaluated subsequently. By judging whether the target vehicle needs to be tested for insulation, the targeted insulation detection of electric vehicles is improved.

[0108] Wherein, in step S40, it includes:

[0109] S41: when a target vehicle maintenance signal is received, an insulation degradation evaluation value of the target vehicle is obtained, and based on the insulation degradation evaluation value and a preset level matching table, an insulation degradation level of the target vehicle is determined.

[0110] Specifically, when the target vehicle is in a maintenance state entering a repair shop, a target vehicle maintenance signal is received, an insulation degradation assessment value of the target vehicle is acquired and matched with a preset level matching table to determine the insulation degradation level.

[0111] S42: Based on the insulation degradation level and the preset scheme matching form, an insulation detection scheme for the target vehicle is determined and sent to the maintenance terminal.

[0112] Specifically, the insulation degradation level is matched with a preset scheme matching form to determine the insulation detection scheme of the target vehicle, and the insulation detection scheme is sent to the maintenance terminal so that maintenance personnel can perform insulation detection on the target vehicle according to the matched insulation detection scheme.

[0113] S43: When the detection result sent by the maintenance terminal is received, the insulation degradation evaluation initial value of the target vehicle is determined and reset from a preset initial value matching table based on the detection result.

[0114] Specifically, when the test result sent by the maintenance terminal is received, the corresponding insulation degradation assessment initial value is matched from the initial value matching table based on the test result to reset the insulation degradation assessment initial value, so as to facilitate the subsequent restart of the insulation degradation assessment of the target vehicle.

[0115] Wherein, after step S30, the electric vehicle insulation safety detection method further includes:

[0116] S50: When the insulation degradation assessment value is greater than a preset degradation threshold, an insulation degradation warning signal is generated and sent to the vehicle-mounted terminal.

[0117] Specifically, when the insulation degradation assessment value is greater than the degradation threshold, it is considered that the insulation performance of the current target vehicle has seriously degraded and insulation performance testing is required. An insulation degradation warning signal is generated and sent to the on-board terminal to inform the driver to send the vehicle for inspection in time.

[0118] It should be understood that the serial numbers of the steps in the above embodiments do not imply a sequence of execution. The execution sequence of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0119] Embodiment 2

[0120] An electric vehicle insulation safety detection system is provided, and the electric vehicle insulation safety detection system corresponds to the electric vehicle insulation safety detection method in the above embodiment.

[0121] like Figure 2 As shown, the electric vehicle insulation safety detection system includes an insulation degradation information acquisition module, a degradation factor parameter calculation module, an insulation degradation evaluation value calculation module, and an insulation detection and value reset module. The detailed description of each functional module is as follows:

[0122] An insulation degradation information acquisition module, used to acquire vehicle environment information of a target vehicle based on a preset environment detection cycle, acquire vehicle state information of the target vehicle based on a preset state detection cycle, and acquire fault record information of the target vehicle;

[0123] A degradation factor parameter calculation module, used to calculate environmental aging factor parameters based on the vehicle environment information, calculate state aging factor parameters based on the vehicle state information, and calculate fault damage factor parameters based on the fault record information;

[0124] An insulation degradation assessment value calculation module, used to calculate the insulation degradation assessment value based on environmental aging factor parameters, state aging factor parameters and fault damage factor parameters;

[0125] The insulation detection and value reset module is used to determine the corresponding insulation degradation level based on the insulation degradation assessment value when the target vehicle is in maintenance status to match the insulation detection scheme, and reset the insulation degradation assessment initial value based on the completed insulation detection scheme and detection results.

[0126] Among them, the degradation factor parameter calculation module also includes:

[0127] The environmental time function generation submodule is used to determine the completion time T of the last insulation test of the target vehicle n , based on the vehicle environment information, generate the rainfall time function F A1 (t), light intensity time function F A2 (t), air temperature time function F A3 (t), air humidity time function F A4 (t);

[0128] The state time function generation submodule is used to generate the input current time function F based on the vehicle state information. B1 (t), output current time function F B2 (t), battery temperature time function F B3 (t);

[0129] The fault record analysis submodule is used to calculate the total amount of accident repairs of the target vehicle from the last insulation test completion time to the present based on the fault record information. and the single insurance premium increase Z0, and count the number of vehicle maintenance items of several relevant levels related to the safety of power battery packs X i and the corresponding project impact coefficient C i ;

[0130] The multi-factor parameter calculation submodule is used to calculate the environmental aging factor parameters, the state aging factor parameters and the fault damage factor parameters based on the preset environmental aging factor parameter calculation formula, the state aging factor parameter calculation formula and the fault damage factor parameter calculation formula.

[0131] Among them, the insulation degradation assessment value calculation module also includes:

[0132] The insulation degradation assessment initial value acquisition submodule is used to obtain the insulation degradation assessment initial value R0 when the last insulation test of the target vehicle is completed;

[0133] The insulation degradation assessment submodule is used to calculate the insulation degradation assessment value based on the environmental aging factor parameter S1, the state aging factor parameter S2 and the fault damage factor parameter S3.

[0134] Among them, the insulation detection and value reset module also includes:

[0135] The insulation degradation level matching submodule is used to obtain the insulation degradation evaluation value of the target vehicle when receiving the target vehicle maintenance signal, and determine the insulation degradation level of the target vehicle based on the insulation degradation evaluation value and a preset level matching table;

[0136] The insulation detection scheme matching submodule is used to determine the insulation detection scheme of the target vehicle based on the insulation degradation level and the preset scheme matching form and send it to the maintenance terminal;

[0137] The insulation degradation assessment initial value resetting submodule is used to determine and reset the insulation degradation assessment initial value of the target vehicle from a preset initial value matching table based on the detection result when receiving the detection result sent by the maintenance terminal.

[0138] Among them, the electric vehicle insulation safety detection system also includes:

[0139] The insulation degradation warning signal sending module is used to generate an insulation degradation warning signal and send it to the vehicle terminal when the insulation degradation assessment value is greater than a preset degradation threshold.

[0140] For the specific limitations of the electric vehicle insulation safety detection system, please refer to the limitations of the electric vehicle insulation safety detection method above, which will not be repeated here; the various modules in the above-mentioned electric vehicle insulation safety detection system can be implemented in whole or in part through software, hardware and their combination; the above-mentioned modules can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory of the computer device in software form, so that the processor can call and execute the corresponding operations of the above modules.

[0141] Embodiment 3

[0142] A computer device, which may be a server, may have an internal structure as shown in Figure 3As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data such as environmental detection cycle, vehicle environmental information, state detection cycle, vehicle state information, fault record information, environmental aging factor parameters, state aging factor parameters, fault damage factor parameters, insulation degradation assessment value, insulation degradation level, insulation detection scheme, detection results and insulation degradation assessment initial value. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, an electric vehicle insulation safety detection method is implemented.

[0143] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program:

[0144] S10: acquiring vehicle environment information of the target vehicle based on a preset environment detection cycle, acquiring vehicle state information of the target vehicle based on a preset state detection cycle, and acquiring fault record information of the target vehicle;

[0145] S20: calculating environmental aging factor parameters based on the vehicle environmental information, calculating state aging factor parameters based on the vehicle state information, and calculating fault damage factor parameters based on the fault record information;

[0146] S30: Calculating an insulation degradation assessment value based on the environmental aging factor parameter, the state aging factor parameter, and the fault damage factor parameter;

[0147] S40: When the target vehicle is in a maintenance state, a corresponding insulation degradation level is determined based on the insulation degradation assessment value to match the insulation detection scheme, and an insulation degradation assessment initial value is reset based on the completed insulation detection scheme and the detection result.

[0148] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0149] S10: acquiring vehicle environment information of the target vehicle based on a preset environment detection cycle, acquiring vehicle state information of the target vehicle based on a preset state detection cycle, and acquiring fault record information of the target vehicle;

[0150] S20: calculating environmental aging factor parameters based on the vehicle environmental information, calculating state aging factor parameters based on the vehicle state information, and calculating fault damage factor parameters based on the fault record information;

[0151] S30: Calculating an insulation degradation assessment value based on the environmental aging factor parameter, the state aging factor parameter, and the fault damage factor parameter;

[0152] S40: When the target vehicle is in a maintenance state, a corresponding insulation degradation level is determined based on the insulation degradation assessment value to match the insulation detection scheme, and an insulation degradation assessment initial value is reset based on the completed insulation detection scheme and the detection result.

[0153] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in the present application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink), DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0154] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0155] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments may still be modified, or some of the features thereof may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for detecting insulation safety of electric vehicles, characterized in that: include: Acquire vehicle environment information of the target vehicle based on a preset environment detection cycle, acquire vehicle status information of the target vehicle based on a preset status detection cycle, and acquire fault record information of the target vehicle; Calculate environmental aging factor parameters based on the vehicle environmental information, calculate state aging factor parameters based on the vehicle state information, and calculate fault damage factor parameters based on the fault record information; Calculate insulation degradation assessment value based on environmental aging factor parameters, state aging factor parameters and fault damage factor parameters; When the target vehicle is in a maintenance state, a corresponding insulation degradation level is determined based on the insulation degradation assessment value to match the insulation detection scheme, and an insulation degradation assessment initial value is reset based on the completed insulation detection scheme and the detection result; The vehicle environmental information includes rainfall, light intensity, air temperature, and air humidity data of several environmental detection cycles; the vehicle status information includes input current, output current, and battery temperature data of the power battery pack of several status detection cycles; and the fault record information includes accident records and vehicle maintenance items.

2. The electric vehicle insulation safety detection method according to claim 1, characterized in that: The calculating of the environmental aging factor parameter based on the vehicle environmental information, the calculating of the state aging factor parameter based on the vehicle state information, and the calculating of the fault damage factor parameter based on the fault record information include: Determine the completion time T of the last insulation test of the target vehicle n , based on the vehicle environment information, generate the rainfall time function F A1 (t), light intensity time function F A2 (t), air temperature time function F A3 (t), air humidity time function F A4 (t); Based on the vehicle status information, generate the input current time function F B1 (t), output current time function F B2 (t), battery temperature time function F B3 (t); Based on the fault record information, the total amount of accident repairs of the target vehicle from the time of the last insulation test completion to the present is counted and the single insurance premium increase Z0, and count the number of vehicle maintenance items of several relevant levels related to the safety of power battery packs X i and the corresponding project impact coefficient C i ; Calculate the environmental aging factor parameters, the state aging factor parameters and the fault damage factor parameters based on the preset environmental aging factor parameter calculation formula, the state aging factor parameter calculation formula and the fault damage factor parameter calculation formula; The environmental aging factor parameter calculation formula is: The state aging factor parameter calculation formula is: The calculation formula of the fault damage factor parameter is: Among them, N is the current time node, y is the accident identifier, and y N T n The number of accidents during the period from Z to N, y is the maintenance amount of the yth accident, i is the relevant level identifier, m is the number of relevant levels; j1, j2, j3, j4 are the first environmental coefficient, the second environmental coefficient, the third environmental coefficient, and the fourth environmental coefficient, k1, k2, k3 are the first state coefficient, the second state coefficient, and the third state coefficient, l1 and l2 are the first fault coefficient and the second fault coefficient, respectively.

3. The electric vehicle insulation safety detection method according to claim 2, characterized in that: The step of calculating the insulation degradation assessment value based on the environmental aging factor parameter, the state aging factor parameter and the fault damage factor parameter includes: Obtaining the insulation degradation assessment initial value R0 of the target vehicle when the last insulation test was completed; Based on the environmental aging factor parameter S1, the state aging factor parameter S2 and the fault damage factor parameter S3, the insulation degradation evaluation value is calculated, and the calculation formula of the insulation degradation evaluation value is: R=R0+S1+S2+S3 4. The electric vehicle insulation safety detection method according to claim 1, characterized in that: When the target vehicle is in a maintenance state, determining a corresponding insulation degradation level based on the insulation degradation evaluation value to match the insulation detection scheme, and resetting the insulation degradation evaluation initial value based on the completed insulation detection scheme and the detection result, including: When a target vehicle maintenance signal is received, an insulation degradation assessment value of the target vehicle is obtained, and an insulation degradation level of the target vehicle is determined based on the insulation degradation assessment value and a preset level matching table; Based on the insulation degradation level and the preset scheme matching form, the insulation detection scheme of the target vehicle is determined and sent to the maintenance terminal; When the detection result sent by the maintenance terminal is received, the insulation degradation evaluation initial value of the target vehicle is determined and reset from a preset initial value matching table based on the detection result.

5. The electric vehicle insulation safety detection method according to claim 1, characterized in that: After calculating the insulation degradation assessment value based on the environmental aging factor parameter, the state aging factor parameter and the fault damage factor parameter, the method includes: When the insulation degradation assessment value is greater than a preset degradation threshold, an insulation degradation warning signal is generated and sent to the vehicle-mounted terminal.

6. An electric vehicle insulation safety detection system, characterized in that: The electric vehicle insulation safety detection method applied to any one of claims 1 to 5 comprises: An insulation degradation information acquisition module, used to acquire vehicle environment information of a target vehicle based on a preset environment detection cycle, acquire vehicle state information of the target vehicle based on a preset state detection cycle, and acquire fault record information of the target vehicle; A degradation factor parameter calculation module, used to calculate environmental aging factor parameters based on the vehicle environment information, calculate state aging factor parameters based on the vehicle state information, and calculate fault damage factor parameters based on the fault record information; An insulation degradation assessment value calculation module, used to calculate the insulation degradation assessment value based on the environmental aging factor parameter, the state aging factor parameter and the fault damage factor parameter; An insulation detection and value reset module, which is used to determine the corresponding insulation degradation level based on the insulation degradation assessment value when the target vehicle is in a maintenance state, so as to match the insulation detection scheme, and reset the insulation degradation assessment initial value based on the completed insulation detection scheme and the detection result; The vehicle environmental information includes rainfall, light intensity, air temperature, and air humidity data of several environmental detection cycles; the vehicle status information includes input current, output current, and battery temperature data of the power battery pack of several status detection cycles; and the fault record information includes accident records and vehicle maintenance items.

7. An electric vehicle insulation safety detection system according to claim 6, characterized in that: The degradation factor parameter calculation module includes: The environmental time function generation submodule is used to determine the completion time T of the last insulation test of the target vehicle n , based on the vehicle environment information, generate the rainfall time function F A1 (t), light intensity time function F A2 (t), air temperature time function F A3 (t), air humidity time function F a4 (t); The state time function generation submodule is used to generate the input current time function F based on the vehicle state information. B1 (t), output current time function F B2 (t), battery temperature time function F B3 (t); The fault record analysis submodule is used to calculate the total amount of accident repairs of the target vehicle from the last insulation test completion time to the present based on the fault record information. and the single insurance premium increase Z0, and count the number of vehicle maintenance items of several relevant levels related to the safety of power battery packs X i and the corresponding project impact coefficient C i ; A multi-factor parameter calculation submodule, used to calculate environmental aging factor parameters, state aging factor parameters and fault damage factor parameters based on preset environmental aging factor parameter calculation formulas, state aging factor parameter calculation formulas and fault damage factor parameter calculation formulas; The environmental aging factor parameter calculation formula is: The state aging factor parameter calculation formula is: The calculation formula of the fault damage factor parameter is: Among them, N is the current time node, y is the accident identifier, and y N T n The number of accidents during the period from Z to N, y is the maintenance amount of the yth accident, i is the relevant level identifier, m is the number of relevant levels; j1, j2, j3, j4 are the first environmental coefficient, the second environmental coefficient, the third environmental coefficient, and the fourth environmental coefficient, k1, k2, k3 are the first state coefficient, the second state coefficient, and the third state coefficient, l1 and l2 are the first fault coefficient and the second fault coefficient, respectively.

8. An electric vehicle insulation safety detection system according to claim 7, characterized in that: The insulation degradation assessment value calculation module includes: The insulation degradation assessment initial value acquisition submodule is used to obtain the insulation degradation assessment initial value R0 when the last insulation test of the target vehicle is completed; The insulation degradation assessment submodule is used to calculate the insulation degradation assessment value based on the environmental aging factor parameter S1, the state aging factor parameter S2 and the fault damage factor parameter S3. The calculation formula of the insulation degradation assessment value is: R=R0+S1+S2+S3 9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the electric vehicle insulation safety detection method as claimed in any one of claims 1 to 5 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the electric vehicle insulation safety detection method as claimed in any one of claims 1 to 5 are implemented.

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