Power battery insulation resistance monitoring and alarming method, system, equipment and medium

Abstract

The invention relates to a power battery insulation resistance value monitoring and alarming method, system and device and a medium, and belongs to the technical field of battery monitoring. The power battery insulation resistance value monitoring and alarming method comprises the steps that after real-time operation parameter data of a power battery is obtained, a data processing module is added; according to the method, abnormal data caused by faults of a sensor, a BMS (Battery Management System) and the like are eliminated, and meanwhile, the abnormal proportion of the insulation resistance value is calculated by inquiring vehicle running state data in a relatively long time period before a potential fault moment, so that false alarms caused by abnormal acquisition of the insulation resistance value are avoided; according to the method, vehicle operation state parameters such as the insulation resistance value, the monomer voltage and the temperature sensing temperature at the abnormal moment are combined for analysis and judgment, diagnosis of specific fault types is added on the basis of insulation resistance value abnormity monitoring, the reason for reduction of the insulation resistance value is helped to be judged, and the after-sales maintenance efficiency is improved.

Description

Technical Field

[0001] The present disclosure belongs to the technical field of battery monitoring, and in particular relates to a method, system, device and medium for monitoring and alarming the insulation resistance of a power battery. Background Art

[0002] Currently, the new energy vehicle industry is experiencing a positive growth in both market size and quality, with market demand experiencing explosive growth. As the cornerstone of the new energy vehicle industry, power batteries are also experiencing rapid development. With technological advancements, the 800V voltage platform has become a key trend in the new energy vehicle sector. This platform reduces current by increasing voltage, thereby reducing energy loss, improving charging efficiency, and increasing vehicle range. However, this 800V voltage platform places higher demands on battery pack insulation performance. Compared to a 400V system, the increased voltage of an 800V system presents even more severe insulation and safety challenges for battery materials and components. Therefore, monitoring changes in power battery insulation resistance and providing timely alerts can protect the safety of drivers and passengers, while also preventing battery damage and extending battery life.

[0003] Currently, monitoring of power battery insulation resistance primarily focuses on analyzing and determining changes in insulation resistance over a specific period of time. However, the actual data collected regarding power battery operating parameters can exhibit anomalies, meaning the collected insulation resistance data is not the true value. This reduces alarm reliability and can cause inconvenience for vehicle owners and after-sales service personnel. Furthermore, a decrease in insulation resistance can be associated with a variety of faults, and monitoring and alarming solely for this decrease makes it difficult to identify the specific fault in the power battery.

[0004] Therefore, it is necessary to provide a new power battery insulation resistance monitoring and alarm method, system, equipment and medium to solve the above technical problems. Summary of the Invention

[0005] The purpose of the present disclosure is to provide a method, system, device and medium for monitoring and alarming the insulation resistance of a power battery in order to solve the above-mentioned problems.

[0006] The present disclosure achieves the above objectives through the following technical solutions:

[0007] A method for monitoring and alarming the insulation resistance of a power battery comprises the following steps:

[0008] Obtain the vehicle code of the power battery and the real-time data of the power battery in the non-charging state;

[0009] Preprocessing the real-time data of the power battery;

[0010] Calculating the probability of insulation resistance abnormality based on the pre-processed real-time data of the power battery, and determining whether the insulation resistance of the vehicle at the current moment is abnormal, and if so, issuing an alarm;

[0011] Querying the real-time data of the power battery before and after the moment when the insulation resistance value is abnormal, calculating the change value of the real-time data of the power battery, and determining whether it exceeds a preset range; if so, determining the fault type based on the change value;

[0012] Upload the fault type information to remind you to take corresponding measures.

[0013] As a further optimization solution of the present disclosure, the real-time data of the power battery includes acquisition time, power battery insulation resistance, total voltage, current, SOC and battery temperature.

[0014] As a further optimization solution of the present disclosure, preprocessing the real-time data of the power battery includes:

[0015] The real-time data of the power battery is cleaned to remove abnormal data that obviously exceeds the normal threshold.

[0016] As a further optimization solution of the present disclosure, the probability of insulation resistance abnormality is calculated based on the pre-processed real-time data of the power battery, and it is determined whether the insulation resistance of the vehicle at the current moment is abnormal. If so, an alarm is issued, including:

[0017] Determine the insulation resistance R of the vehicle's power battery at the current moment t Is it less than the preset first threshold R low_threshold If yes, query the real-time data of all non-charging power batteries of the corresponding vehicle in the 24 hours before the current time, and calculate the total number of real-time data of the non-charging power batteries of the vehicle in the query time period N total and the number of data N whose insulation resistance is less than the first threshold low ;

[0018] Determine whether the vehicle has an insulation resistance greater than a preset second threshold R within the query period high_threshold At the moment, if it exists, calculate the number of data pieces N whose insulation resistance is greater than the second threshold high ;

[0019] Determine the number of data items N whose insulation resistance is less than the set first threshold low Is it greater than the preset number N of insulation resistance abnormal data? threshold If yes, calculate the total number of real-time data of the power battery in the non-charging state N total The number of data N with insulation resistance greater than the second threshold highThe difference accounts for the total number of real-time data of power batteries in the non-charging state N total Percentage P t ; If the percentage P t Greater than the preset insulation resistance abnormality ratio threshold P threshold , it is determined that the insulation resistance of the vehicle at the current moment is abnormal, and an alarm is issued in time.

[0020] As a further optimization solution of the present disclosure, the real-time data of the power battery before and after the moment of abnormal insulation resistance is queried, the change value of the real-time data of the power battery is calculated, and it is determined whether it exceeds a preset range; if so, the fault type is determined based on the change value, including:

[0021] Based on the abnormal insulation resistance time t, query the previous time t last Power battery cell voltage and temperature sensor temperature, as well as the next moment t next Power battery cell voltage and temperature sensor temperature, and calculate the time difference, voltage change value and temperature change value before and after;

[0022] If the voltage change value is less than a preset voltage change threshold, and the temperature change value is greater than a preset temperature change threshold, and the vehicle is in a stationary state, it is determined that the vehicle may be at risk of thermal runaway;

[0023] If the temperature change value is greater than the temperature change threshold, but the voltage change value is less than the voltage change threshold, and the vehicle is in a stationary state, it is determined that there is a risk of water entering the vehicle tank.

[0024] A power battery insulation resistance monitoring and alarm system, comprising:

[0025] Data acquisition module, which obtains the vehicle code of the power battery and the real-time data of the power battery in the non-charging state;

[0026] A data processing module, for pre-processing the real-time data of the power battery;

[0027] a data calculation module, which calculates the probability of insulation resistance abnormality based on the pre-processed real-time data of the power battery, and determines whether the insulation resistance of the vehicle is abnormal at the current moment, and if so, issues an alarm;

[0028] A fault judgment module queries the real-time data of the power battery before and after the moment when the insulation resistance value is abnormal, calculates the change value of the real-time data of the power battery, and determines whether it exceeds a preset range; if so, determines the fault type based on the change value;

[0029] The fault alarm module uploads the fault type information and reminds you to take corresponding measures.

[0030] As a further optimization solution of the present disclosure, the data calculation module calculates the probability of insulation resistance abnormality based on the pre-processed real-time data of the power battery, and determines whether the insulation resistance of the vehicle at the current moment is abnormal. If so, an alarm is issued, including:

[0031] Determine the insulation resistance R of the vehicle's power battery at the current moment t Is it less than the preset first threshold R low_threshold If yes, query all vehicle data in the non-charging state 24 hours before the current time of the corresponding vehicle, and calculate the total number of vehicle data in the non-charging state of the vehicle power battery during the query time period N total and the number of data N whose insulation resistance is less than the first threshold low ;

[0032] Determine whether the vehicle has an insulation resistance greater than a preset second threshold R within the query period high_threshold At the moment, if it exists, calculate the number of data pieces N whose insulation resistance is greater than the second threshold high ;

[0033] Determine the number of data items N whose insulation resistance is less than the set first threshold low Is it greater than the preset number N of insulation resistance abnormal data? threshold If yes, calculate the total number of vehicle data in the non-charging state of the power battery N total The number of data N with insulation resistance greater than the second threshold high The difference accounts for the total number of vehicle data in the non-charging state of the power battery N total Percentage P t ; If the percentage P t Greater than the preset insulation resistance abnormality ratio threshold P threshold , it is determined that the insulation resistance of the vehicle at the current moment is abnormal, and an alarm is issued in time.

[0034] As a further optimization solution of the present disclosure, the fault judgment module queries the real-time data of the power battery before and after the moment when the insulation resistance value is abnormal, calculates the change value of the real-time data of the power battery, and determines whether it exceeds a preset range; if so, the fault type is determined based on the change value, including:

[0035] Based on the abnormal insulation resistance time t, query the previous time t last Power battery cell voltage and temperature sensor temperature, as well as the next moment t next Power battery cell voltage and temperature sensor temperature, and calculate the time difference, voltage change value and temperature change value before and after;

[0036] If the voltage change value is less than a preset voltage change threshold, and the temperature change value is greater than a preset temperature change threshold, and the vehicle is in a stationary state, it is determined that the vehicle may be at risk of thermal runaway;

[0037] If the temperature change value is greater than the temperature change threshold, but the voltage change value is less than the voltage change threshold, and the vehicle is in a stationary state, it is determined that there is a risk of water entering the vehicle tank.

[0038] An electronic device comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus;

[0039] Memory for storing computer programs;

[0040] The processor is used to execute the program stored in the memory to implement the power battery insulation resistance monitoring and alarm method.

[0041] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements a method for monitoring and alarming the insulation resistance of a power battery.

[0042] The beneficial effects of the present disclosure are:

[0043] Unlike the current method of judging insulation resistance abnormalities based solely on real-time parameter data of the power battery, this disclosure obtains and analyzes data from a longer period before the query time and calculates the proportion of insulation resistance abnormalities, thus avoiding misjudgments caused by abnormal data collection at a certain moment.

[0044] The present invention combines vehicle operating status parameters such as insulation resistance, single cell voltage and thermal sensing temperature for analysis and judgment. On the basis of abnormal insulation resistance monitoring, it adds diagnosis of specific fault types to help determine the cause of reduced insulation resistance and improve after-sales maintenance efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 is a flow chart of a method in an embodiment of the present disclosure;

[0046] Figure 2 1 is a schematic diagram of a calculation flow of an abnormal insulation resistance probability in an embodiment of the present disclosure;

[0047] Figure 3 is a schematic diagram of a fault type determination process in an embodiment of the present disclosure;

[0048] Figure 4 is a system structure block diagram in an embodiment of the present disclosure;

[0049] Figure 5 It is a block diagram of the device structure in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0050] The present application will be described in further detail below in conjunction with the accompanying drawings. It is necessary to point out that the following specific implementation methods are only used to further illustrate the present application and cannot be understood as limiting the scope of protection of the present application. Technicians in this field can make some non-essential improvements and adjustments to the present application based on the above application content.

[0051] like Figure 1 As shown, a method for monitoring and alarming the insulation resistance of a power battery includes the following steps:

[0052] S1. Obtaining the vehicle code of the power battery and the real-time data of the power battery in the non-charging state; in this embodiment, specifically including:

[0053] The vehicle code of the power battery at the current moment, the operating time in the non-charging state, the power battery insulation resistance, current, SOC, each cell voltage, and each temperature sensor temperature operating parameter data are obtained from the target platform through the big data query method, and the current moment is recorded as t.

[0054] S2. Preprocessing the real-time data of the power battery, specifically including:

[0055] The acquired real-time power battery data is cleaned and processed to eliminate abnormal data. During actual vehicle operation, due to hardware issues such as sensors and BMS (Battery Management System), the power battery parameter data obtained from the platform may not be true values. If abnormal values are input into calculations, there is a high possibility of false alarms. Therefore, it is necessary to judge and pre-process the power battery operating parameter data in advance.

[0056] First, the cell voltage values collected at time t are evaluated. If the cell voltage range is less than 0V or greater than 5V, the data is considered invalid. Next, the difference between adjacent cell voltages is calculated. If there are multiple consecutive zeros (not fully charged) between the differences between adjacent cell voltages, the voltage data at that moment is also considered invalid. Invalid data can be eliminated.

[0057] Similarly, the temperature sensor temperature collected at time t is judged. If the value range of the temperature sensor temperature exceeds the set temperature threshold, the temperature data at that moment is considered invalid. Invalid data is also eliminated.

[0058] It should be noted that the set temperature threshold needs to be adjusted according to different ambient temperatures. In this embodiment, if the current minimum ambient temperature is greater than 10°C, the set temperature threshold is [0, 100]°C. If the current maximum ambient temperature is less than 10°C, the set temperature threshold is adjusted to [-40, 100]°C.

[0059] S3. Calculating the probability of insulation resistance abnormality based on the pre-processed real-time data of the power battery, and determining whether the insulation resistance of the vehicle is abnormal at the current moment, and if so, issuing an alarm, specifically including:

[0060] After data preprocessing, the insulation resistance R of the power battery at time t is obtained t 、Cell voltage {V1, V2, ... V n} t and temperature sensing temperature {T1, T2, ...T n} t Wait for the running parameter data and perform calculations.

[0061] First, determine the insulation resistance R of the vehicle's power battery at the current moment. t Is it less than the first threshold R? low_threshold If the insulation resistance is less than the first threshold, query the real-time data of the power battery in the non-charging state of the corresponding vehicle in the 24 hours before the current time, and calculate the total number of real-time data of the power battery in the non-charging state of the vehicle in the query time period N total And the number of data N whose insulation resistance is less than the set first threshold low .

[0062] Secondly, determine whether the vehicle has an insulation resistance greater than the set second threshold R within the query time period. high_threshold If the moment exists, then calculate the number of data N whose insulation resistance is greater than the set second threshold high .

[0063] Then, based on the above calculation results, it is determined that the number of data items N whose insulation resistance is less than the set first threshold value low Is it greater than the set number N of insulation resistance abnormal data? threshold If so, calculate the percentage P of the number of data with abnormal insulation resistance to the total number of vehicle data in the non-charging state t , the calculation formula is as follows:

[0064]

[0065] If the percentage is greater than the set insulation resistance abnormality threshold P threshold, It can be determined that the insulation resistance of the vehicle is abnormal at the current moment, and an alarm should be issued in time. The calculation process of the insulation resistance abnormality probability is as follows: Figure 2shown.

[0066] In this embodiment, the first threshold R low_threshold is 50kΩ, the second threshold R high_threshold is 1000kΩ, the number of abnormal insulation resistance data is N threshold The total number of vehicle data in the non-charging state of the power battery N total 10%-20% of the insulation resistance abnormality ratio threshold P threshold is 0.7.

[0067] S4. Query the real-time data of the power battery before and after the abnormal insulation resistance value, calculate the change value of the real-time data of the power battery, and determine whether it exceeds a preset range; if so, determine the fault type based on the change value, specifically including:

[0068] Based on the insulation resistance abnormality time t, query the moment before the current moment t last Power battery cell voltage {V1, V2, ... V n} last and temperature sensing temperature {T1, T2, ...T n} last Data, and the next moment t next Power battery cell voltage {V1, V2, ... V n} next and temperature sensing temperature {T1, T2, ...T n} next Data, and calculate the time difference delta_last_t, delta_next_t, voltage change value delta_last_V, delta_next_V, and temperature change value delta_last_T, delta_next_T.

[0069] delta_last_t=tt last ;

[0070] delta_next_t=t next -t;

[0071] delta_last_V={V1,V2,...V n} t -{V1,V2,...V n} last ;

[0072] delta_next_V={V1,V2,...V n} next -{V1,V2,...V n} t;

[0073] delta_last_T={T1,T2,...T n} t -{T1,T2,...T n} last ;

[0074] delta_next_T={T1,T2,...T n} next -{T1,V2,...T n} t ;

[0075] If the cell voltage change value is less than the set voltage change threshold V threshold , and the temperature change value is greater than the set temperature change threshold T threshold , and the vehicle is in a stationary state, it is considered that the vehicle may be at risk of thermal runaway.

[0076] If the temperature change value is greater than the set threshold T threshold , but the single voltage change value is less than the set voltage change threshold V threshold , and the vehicle is in a stationary state, it is considered that there is a risk of water entering the vehicle box. The fault diagnosis process is as follows Figure 3 shown.

[0077] In this embodiment, the voltage change threshold is set to -20 mV, and the temperature change threshold is set to 5°C.

[0078] S5. Upload the fault type information and remind the user to take appropriate measures, including:

[0079] Based on the output fault vehicle code and fault time, relevant information is uploaded to the vehicle monitoring platform to remind users or the system to take corresponding measures to avoid potential safety accidents.

[0080] like Figure 4 As shown, an embodiment of the present disclosure provides a power battery insulation resistance monitoring and alarm system, including a data acquisition module, a data processing module, a data calculation module, a fault judgment module and a fault alarm module.

[0081] Data acquisition module: refers to obtaining the vehicle code of the power battery and the acquisition time in the non-charging state, the power battery insulation resistance, total voltage, current, SOC (Status of Charge), and battery temperature operating parameter data from the target platform through big data query methods.

[0082] The non-charging state includes a vehicle driving state and an engine-off and non-charging state.

[0083] The target platform includes but is not limited to the national monitoring and management platform for new energy vehicles, and the vehicle manufacturers upload vehicle information to the server.

[0084] Data Processing Module: Cleans and processes acquired real-time power battery data, eliminating abnormal data. During actual vehicle operation, due to hardware limitations such as sensors and the BMS (Battery Management System), the power battery parameter data obtained from the platform may not be true. If abnormal values are input into the data calculation module for calculation, there is a high risk of false alarms. Therefore, it is necessary to pre-judge and pre-process the power battery operating parameter data.

[0085] Furthermore, the abnormal data processing method refers to eliminating operating parameter data that obviously exceeds the normal threshold. For example, if the obtained single cell voltage data is greater than 5V or less than 0V, or the values of multiple consecutive single cell voltages remain unchanged, and there is a large difference with other single cell voltage data, then it is considered that the power battery data obtained at this moment is abnormal and the data at this moment needs to be preprocessed.

[0086] Data calculation module: For the pre-processed real-time data of the power battery, obtain the operating parameter data of the power battery at the current moment, such as insulation resistance, single cell voltage and temperature sensor temperature, and calculate according to the set threshold.

[0087] First, determine whether the insulation resistance of the vehicle's power battery at the current moment is less than the set first threshold. If the insulation resistance is less than the set first threshold, query all vehicle data in the non-charging state of the corresponding vehicle 24 hours before the current moment, and calculate the total number of vehicle data in the non-charging state of the vehicle's power battery during the query time period and the number of data with insulation resistance less than the set first threshold.

[0088] Secondly, it is determined whether there is a moment in the query time period when the insulation resistance of the vehicle is greater than the set second threshold. If so, the number of data items with insulation resistance greater than the set second threshold is calculated.

[0089] Subsequently, based on the above calculation results, determine whether the number of data items with insulation resistance values less than the set first threshold is greater than the set number of data items with abnormal insulation resistance values. If so, calculate the percentage of the number of data items with insulation resistance values less than the set first threshold value to the total number of vehicle data items in the non-charging state. If the percentage is greater than the set insulation resistance abnormality percentage threshold, it can be determined that there is an abnormality in the insulation resistance value of the vehicle at the current moment, and an alarm should be issued in time.

[0090] Fault diagnosis module: Based on the moment of abnormal insulation resistance, query the power battery cell voltage and temperature data before and after the current moment, calculate the voltage change and temperature change values before and after the current moment, and judge whether the current cell voltage change value is greater than the set pressure difference threshold, and whether the temperature change value is greater than the set temperature difference threshold.

[0091] If the cell voltage change value is greater than the set pressure difference threshold, and the temperature change value of the temperature sensor is greater than the set temperature difference threshold, and the vehicle is in a stationary state, it is considered that the vehicle may be at risk of thermal runaway.

[0092] If the temperature change of the temperature sensor is greater than the set threshold, but the single cell voltage change is less than the set pressure difference threshold, and the vehicle is in a stationary state, it is considered that the vehicle may be at risk of water ingress or electrolyte leakage.

[0093] Fault alarm module: Sends alarm information from the fault judgment module to the vehicle monitoring platform to remind users or the system to take corresponding measures to avoid potential safety accidents.

[0094] The implementation process of the functions and effects of each module in the above system is specifically described in the implementation process of the corresponding steps in the above method, which will not be repeated here.

[0095] For the system embodiment, since it basically corresponds to the method embodiment, the relevant parts can be referred to the partial description of the method embodiment. The system embodiment described above is only schematic, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, that is, they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the disclosed solution. Those of ordinary skill in the art can understand and implement it without paying any creative work.

[0096] In the above embodiment, any number of all modules can be combined into one module for implementation, or any one of the modules can be split into multiple modules. Alternatively, at least some of the functions of one or more of these modules can be combined with at least some of the functions of other modules and implemented in one module. At least one of all modules can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application specific integrated circuit (ASIC), or can be implemented by hardware or firmware such as any other reasonable way of integrating or packaging the circuit, or implemented in any one of the three implementation modes of software, hardware and firmware or in a suitable combination of any of them. Alternatively, at least one of all modules can be at least partially implemented as a computer program module, which can perform the corresponding function when the computer program module is run.

[0097] See also Figure 5 The electronic device provided by an embodiment of the present disclosure includes a processor 1110, a communication interface 1120, a memory 1130 and a communication bus 1140, wherein the processor 1110, the communication interface 1120, and the memory 1130 communicate with each other through the communication bus 1140;

[0098] Memory 1130, for storing computer programs;

[0099] The processor 1110 is configured to implement the power battery insulation resistance monitoring and alarm method as shown below when executing the program stored in the memory 1130 .

[0100] The communication bus 1140 can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The communication bus 1140 can be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the figure shows only one thick line, but this does not mean that there is only one bus or only one type of bus.

[0101] The communication interface 1120 is used for communication between the electronic device and other devices.

[0102] The memory 1130 may include a random access memory (RAM) or a non-volatile memory, such as at least one disk storage. Alternatively, the memory 1130 may be at least one storage device located away from the processor 1110.

[0103] The above-mentioned processor 1110 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0104] The embodiments of the present disclosure further provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-described power battery insulation resistance monitoring and alarm method.

[0105] The computer-readable storage medium may be included in the device / apparatus described in the above embodiments, or may exist independently and not incorporated into the device / apparatus. The computer-readable storage medium carries one or more programs that, when executed, implement the power battery insulation resistance monitoring and alarm method according to the embodiments of the present disclosure.

[0106] According to an embodiment of the present disclosure, a computer-readable storage medium may be a non-volatile computer-readable storage medium, such as, but not limited to, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0107] The above embodiments merely illustrate several implementation methods of the present disclosure, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present disclosure. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the scope of the present disclosure, all of which fall within the scope of protection of the present disclosure.

Claims

1. A method for monitoring and alarming the insulation resistance of a power battery, characterized in that: The following steps are involved: Obtain the vehicle code of the power battery and the real-time data of the power battery in the non-charging state; Preprocessing the real-time data of the power battery; Calculating the probability of insulation resistance abnormality based on the pre-processed real-time data of the power battery, and determining whether the insulation resistance of the vehicle at the current moment is abnormal, and if so, issuing an alarm; Querying the real-time data of the power battery before and after the moment when the insulation resistance value is abnormal, calculating the change value of the real-time data of the power battery, and determining whether it exceeds a preset range; if so, determining the fault type based on the change value; Upload the fault type information to remind you to take corresponding measures.

2. A power battery insulation resistance monitoring and alarm method according to claim 1, characterized in that: The real-time data of the power battery includes acquisition time, power battery insulation resistance, total voltage, current, SOC and battery temperature.

3. A power battery insulation resistance monitoring and alarm method according to claim 1, characterized in that: Preprocessing the real-time data of the power battery includes: The real-time data of the power battery is cleaned to remove abnormal data that obviously exceeds the normal threshold.

4. A power battery insulation resistance monitoring and alarm method according to claim 1, characterized in that: Calculating the probability of insulation resistance abnormality based on the pre-processed real-time data of the power battery, and determining whether the insulation resistance of the vehicle at the current moment is abnormal, and if so, issuing an alarm, including: Determine the insulation resistance R of the vehicle's power battery at the current moment t Is it less than the preset first threshold R low_threshold If yes, query the real-time data of all non-charging power batteries of the corresponding vehicle in the 24 hours before the current time, and calculate the total number of real-time data of the non-charging power batteries of the vehicle in the query time period N total and the number of data N whose insulation resistance is less than the first threshold low ; Determine whether the vehicle has an insulation resistance greater than a preset second threshold R within the query period high_threshold At the moment, if it exists, calculate the number of data pieces N whose insulation resistance is greater than the second threshold high ; Determine the number of data items N whose insulation resistance is less than the set first threshold low Is it greater than the preset number N of insulation resistance abnormal data? threshold If yes, calculate the total number of real-time data of the power battery in the non-charging state N total The number of data N with insulation resistance greater than the second threshold high The difference accounts for the total number of real-time data of power batteries in the non-charging state N total Percentage P t ; If the percentage P t Greater than the preset insulation resistance abnormality ratio threshold P threshold , it is determined that the insulation resistance of the vehicle at the current moment is abnormal, and an alarm is issued in time.

5. The method for monitoring and alarming insulation resistance of a power battery according to claim 1, characterized in that: Query the real-time data of the power battery before and after the moment when the insulation resistance value is abnormal, calculate the change value of the real-time data of the power battery, and determine whether it exceeds the preset range; If yes, then judging the fault type based on the change value includes: Based on the abnormal insulation resistance time t, query the previous time t last Power battery cell voltage and temperature sensor temperature, as well as the next moment t next Power battery cell voltage and temperature sensor temperature, and calculate the time difference, voltage change value and temperature change value before and after; If the voltage change value is less than a preset voltage change threshold, and the temperature change value is greater than a preset temperature change threshold, and the vehicle is in a stationary state, it is determined that the vehicle may be at risk of thermal runaway; If the temperature change value is greater than the temperature change threshold, but the voltage change value is less than the voltage change threshold, and the vehicle is in a stationary state, it is determined that there is a risk of water entering the vehicle tank.

6. A power battery insulation resistance monitoring and alarm system, characterized in that: include: Data acquisition module, which obtains the vehicle code of the power battery and the real-time data of the power battery in the non-charging state; A data processing module, for pre-processing the real-time data of the power battery; a data calculation module, which calculates the probability of insulation resistance abnormality based on the pre-processed real-time data of the power battery, and determines whether the insulation resistance of the vehicle is abnormal at the current moment, and if so, issues an alarm; A fault judgment module queries the real-time data of the power battery before and after the moment when the insulation resistance value is abnormal, calculates the change value of the real-time data of the power battery, and determines whether it exceeds a preset range; if so, determines the fault type based on the change value; The fault alarm module uploads the fault type information and reminds you to take corresponding measures.

7. A power battery insulation resistance monitoring and alarm system according to claim 6, characterized in that: The data calculation module calculates the probability of insulation resistance abnormality based on the pre-processed real-time data of the power battery, and determines whether the insulation resistance of the vehicle at the current moment is abnormal. If so, an alarm is issued, including: Determine the insulation resistance R of the vehicle's power battery at the current moment t Is it less than the preset first threshold R low_threshold If yes, query all vehicle data in the non-charging state 24 hours before the current time of the corresponding vehicle, and calculate the total number of vehicle data in the non-charging state of the vehicle power battery during the query time period N total and the number of data N whose insulation resistance is less than the first threshold low ; Determine whether the vehicle has an insulation resistance greater than a preset second threshold R within the query period high_threshold At the moment when the insulation resistance is greater than the second threshold, if it exists, the number of data pieces Nhigh whose insulation resistance is greater than the second threshold is calculated; Determine the number of data items N whose insulation resistance is less than the set first threshold low Is it greater than the preset number N of insulation resistance abnormal data? threshold If yes, calculate the total number of vehicle data in the non-charging state of the power battery N total The number of data N with insulation resistance greater than the second threshold high The difference accounts for the total number of vehicle data in the non-charging state of the power battery N total Percentage P t ; If the percentage P t Greater than the preset insulation resistance abnormality ratio threshold P threshold , it is determined that the insulation resistance of the vehicle at the current moment is abnormal, and an alarm is issued in time.

8. The power battery insulation resistance monitoring and alarm system according to claim 6, characterized in that: The fault judgment module queries the real-time data of the power battery before and after the moment when the insulation resistance value is abnormal, calculates the change value of the real-time data of the power battery, and determines whether it exceeds a preset range; If yes, then judging the fault type based on the change value includes: Based on the abnormal insulation resistance time t, query the previous time t last Power battery cell voltage and temperature sensor temperature, as well as the next moment t next Power battery cell voltage and temperature sensor temperature, and calculate the time difference, voltage change value and temperature change value before and after; If the voltage change value is less than a preset voltage change threshold, and the temperature change value is greater than a preset temperature change threshold, and the vehicle is in a stationary state, it is determined that the vehicle may be at risk of thermal runaway; If the temperature change value is greater than the temperature change threshold, but the voltage change value is less than the voltage change threshold, and the vehicle is in a stationary state, it is determined that there is a risk of water entering the vehicle tank.

9. An electronic device, characterized in that: The processor, the communication interface, the memory and the communication bus are connected to each other via the communication bus. Memory for storing computer programs; The processor is used to execute the program stored in the memory to implement the power battery insulation resistance monitoring and alarm method according to any one of claims 1 to 5.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the power battery insulation resistance monitoring and alarm method according to any one of claims 1 to 5 is implemented.

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