Vehicle battery state detection method and device, electronic device and storage medium

Abstract

The embodiment of the invention provides a method for detecting the state of a vehicle battery, and the method comprises the steps: receiving the battery data of a vehicle, and determining the state of the vehicle battery according to the target data in the battery data, namely, the predetermined indexes capable of effectively representing the state of the vehicle battery. Therefore, according to the target parameter, or according to the type or category of the parameter capable of determining whether the state of the vehicle battery is abnormal, after the vehicle reports the battery data of the vehicle, the electronic device can determine the state of the vehicle battery based on the target parameter in the battery data, so that whether the vehicle battery is abnormal or not is effectively detected; and the safety of the vehicle and users in the vehicle is guaranteed.

Description

Technical Field

[0001] The present application relates to the field of vehicle technology, and more specifically, to a vehicle battery status detection method, a vehicle battery status detection device, an electronic device, and a computer-readable storage medium. Background Art

[0002] At present, new energy vehicles are gradually replacing traditional vehicles and becoming the main means of transportation for urban travel. For new energy vehicles, vehicle batteries (such as power batteries and low-voltage batteries) are required to supply energy for related electronic loads and provide kinetic energy for vehicle driving. Therefore, the status of the vehicle battery is crucial to the safety of the entire vehicle. Summary of the invention

[0003] The present application provides a vehicle battery status detection method, a vehicle battery status detection device, an electronic device, and a computer-readable storage medium.

[0004] The present application provides a method for detecting the state of a vehicle battery, comprising:

[0005] Receive battery data from the vehicle;

[0006] The state of the vehicle battery is determined according to the target parameters in the battery data, wherein the target parameters are determined based on battery abnormal state data statistics, and the state of the vehicle battery includes a normal state and an abnormal state.

[0007] In the vehicle battery status detection method provided in the present application, after the electronic device receives the battery data reported by the vehicle, it determines the status of the vehicle battery based on the target data in the battery data, that is, a predetermined indicator that can effectively characterize the status of the vehicle battery.

[0008] In this way, the implementation mode of the present application is based on the target parameters, or in other words, based on the type or category of parameters that can determine whether the vehicle battery status is abnormal, so that after the vehicle reports its own battery data, the electronic device can determine the status of the vehicle battery based on the target parameters in the battery data, thereby effectively detecting whether the vehicle battery is abnormal, and the safety of the vehicle and the users inside the vehicle can be guaranteed.

[0009] For example, indicators can be obtained in advance through big data analysis, that is, the type of target parameters predetermined based on battery abnormal status data statistics, so that after the vehicle reports its own battery data, the electronic device can accurately determine the status of the vehicle battery based on this type of target parameter in the battery data, so it can effectively detect whether the vehicle battery is abnormal, and therefore, can effectively protect the safety of the vehicle and users.

[0010] In certain embodiments, the method further comprises:

[0011] If the battery data is not received within a first preset time period, it is determined that the vehicle battery is in an abnormal state.

[0012] In this way, the implementation mode of the present application determines the status of the vehicle battery according to whether the vehicle reports battery data, so that the efficiency of status detection can be guaranteed.

[0013] In certain embodiments, the target parameters include a maximum single-cell voltage and a minimum single-cell voltage of the vehicle battery;

[0014] The determining the state of the vehicle battery according to the target parameter in the battery data comprises:

[0015] When the vehicle is in a powered-on state, the state of the vehicle battery is determined according to the highest single-cell voltage and the lowest single-cell voltage.

[0016] In this way, the embodiment of the present application enables the state of the vehicle battery to be effectively determined based on the highest single-cell voltage and the lowest single-cell voltage.

[0017] In some embodiments, the battery data includes multiple groups, and when the vehicle is in a powered-on state, determining the state of the vehicle battery according to the highest single-cell voltage and the lowest single-cell voltage includes:

[0018] When the vehicle is in a powered-on state, if within a second preset time period, the highest single-cell voltage and the lowest single-cell voltage in each group are both preset single-cell voltage values, it is determined that the vehicle battery is in an abnormal state.

[0019] In this way, the embodiment of the present application enables the state of the vehicle battery to be accurately determined based on the duration that the value of the highest single-cell voltage and the value of the lowest single-cell voltage are both at abnormal values.

[0020] In some embodiments, when the vehicle is in a powered-on state, determining the state of the vehicle battery according to the highest single-cell voltage and the lowest single-cell voltage includes:

[0021] When the vehicle is in a powered-on state, the state of the vehicle battery is determined according to a voltage difference between the highest single-cell voltage and the lowest single-cell voltage.

[0022] In this way, the embodiment of the present application enables the state of the vehicle battery to be accurately determined based on the voltage difference between the high single-cell voltage and the lowest single-cell voltage.

[0023] In some embodiments, the battery data includes multiple groups, and when the vehicle is in a powered-on state, determining the state of the vehicle battery according to the voltage difference between the highest single-cell voltage and the lowest single-cell voltage includes:

[0024] When the vehicle is in a powered-on state, if within a third preset time period, the voltage difference between the highest single-cell voltage and the lowest single-cell voltage in each group is greater than a preset voltage difference, it is determined that the vehicle battery is in an abnormal state.

[0025] In this way, the embodiment of the present application enables the state of the vehicle battery to be accurately determined based on the length of time that the voltage difference maintains an abnormal value.

[0026] In some embodiments, determining the state of the vehicle battery according to the target parameter in the battery data includes:

[0027] Determining a monitoring start time according to a power converter parameter in the target parameter;

[0028] The state of the vehicle battery is determined based on the target parameter after the monitoring start time.

[0029] In this way, the implementation mode of the present application is based on the setting of the monitoring start time, so that the target parameters before and after the monitoring start time will be used to determine the state of the vehicle battery, so the state of the vehicle battery can be effectively determined.

[0030] In certain embodiments, when the vehicle changes from a powered-on state to a powered-off state and the first duration is not less than a fourth preset duration, the monitoring start time is determined based on the time when the vehicle changes to the powered-off state, and the first duration is determined based on the duration during which the power converter parameters meet the first preset condition when the vehicle is in the powered-on state.

[0031] In this way, the embodiment of the present application enables the electronic device to determine whether the vehicle battery is likely to be in an abnormal state based on the length of time the power converter parameter maintains the abnormal state, thereby ensuring the effectiveness of the monitoring start time.

[0032] In some embodiments, the first preset duration is determined based on the duration during which the power converter is in a step-down state and the voltage on the DC low-voltage side is not less than a preset voltage value when the vehicle is in the power-on state.

[0033] In certain embodiments, when the first cumulative duration is not less than the sixth preset duration, the monitoring start time is determined based on the time when the vehicle changes to the power-off state, and the first cumulative duration is determined based on the power converter parameters within the fifth preset time before the vehicle changes from the power-on state to the power-off state, and the cumulative time that satisfies the second preset condition.

[0034] In this way, the embodiment of the present application enables the electronic device to accurately determine whether the vehicle battery is likely to be in an abnormal state based on the maintenance time of the abnormal value of the power converter parameter within a specific time period.

[0035] In certain embodiments, when the second duration satisfies a fourth preset condition and the third duration satisfies a fifth preset condition, the monitoring start time is determined based on the time when the third duration satisfies the fifth preset condition, the second duration is determined based on the duration during which the power converter parameters satisfy the third preset condition, and the third duration is determined based on the duration during which the power converter parameters do not satisfy the third preset condition.

[0036] In this way, the embodiment of the present application enables the electronic device to accurately determine whether the vehicle battery is likely to be in an abnormal state based on the duration of time that the power converter parameters meet the third preset condition and the duration of time that they do not meet the third preset condition.

[0037] In some embodiments, the target parameters also include the power type of the vehicle; when the vehicle is a first power type vehicle, the second duration is not less than a seventh preset duration, and the third duration is not less than an eighth preset duration, the monitoring start time is determined based on the time when the third duration is not less than the eighth preset duration.

[0038] In this way, the implementation mode of the present application enables the electronic device to determine whether the vehicle is likely to be in an abnormal state based on the power type of the vehicle, thereby further improving the detection accuracy.

[0039] In certain embodiments, when the vehicle is a second power type vehicle, the second duration is not less than a ninth preset duration, and the third duration is not less than a tenth preset duration, the monitoring start time is determined based on the time when the third duration is not less than the tenth preset duration.

[0040] In certain embodiments, when the vehicle is a first power type vehicle and the second duration is not less than the seventh preset duration, and the fourth duration is not less than the eleventh preset duration, or when the vehicle is a second power type vehicle and the second duration is not less than the tenth preset duration, and the fourth duration is not less than the eleventh preset duration, the monitoring start time is determined based on the time when the fourth duration is not less than the eleventh preset duration, and the fourth duration is determined based on the duration of the vehicle being in the powered-on state when the vehicle changes from a power-off state to a power-on state.

[0041] In some embodiments, determining the state of the vehicle battery according to the target parameter after the monitoring start time includes:

[0042] The state of the vehicle battery is determined according to the target parameter within a first preset time period after the monitoring start time, wherein the first preset time period includes the duration of the vehicle battery changing from an uncharged state to a charged state.

[0043] In this way, the electronic device of the embodiment of the present application can effectively determine whether the vehicle battery is abnormal based on the target parameters before the charging state of the vehicle battery changes after the monitoring start time.

[0044] In some embodiments, determining the state of the vehicle battery according to the target parameter within a first preset period after the monitoring start time includes:

[0045] Determine a second accumulated time duration during which the power battery current in the target parameter is lower than a preset current value within the first preset time period;

[0046] If the ratio of the second accumulated duration to the duration of the first preset time period is less than the preset ratio, the duration of the first preset time period is less than the twelfth preset time period, and the vehicle is in a predetermined working state during the first preset time period, it is determined that the vehicle battery is in an abnormal state.

[0047] In this way, the implementation manner of the present application is based on the first total number of frames and the first time interval between two adjacent frames of battery data, so that the status detection of the vehicle battery is not completely dependent on the operating parameters of the vehicle battery, so that the status detection can be completed based on information in multiple dimensions, and thus it can more accurately determine whether the vehicle battery is in an abnormal state.

[0048] In some embodiments, determining the state of the vehicle battery according to the target parameter within a first preset period after the monitoring start time includes:

[0049] Determine, according to the battery data received in the first preset time period, a first time interval between two adjacent frames of the battery data and a first total number of frames of the battery data received in the first preset time period;

[0050] The state of the vehicle battery is determined according to the first time interval, the first total number of frames and the working state of the vehicle.

[0051] In some embodiments, determining the state of the vehicle battery according to the first time interval, the first total number of frames and the working state of the vehicle includes:

[0052] If the first time interval is not greater than a first preset time interval, the first total number of frames is not greater than a first preset number of frames, the duration of the first preset period is less than a thirteenth preset period, and the vehicle is in a predetermined working state during the first preset period, it is determined that the vehicle battery is in an abnormal state.

[0053] In some embodiments, determining the state of the vehicle battery according to the first time interval, the first total number of frames and the working state of the vehicle further includes:

[0054] If the first time interval is greater than the second preset time interval, there are at least two adjacent frames of battery data with low voltage values ​​greater than the first preset low voltage threshold and the time interval between the at least two adjacent frames of battery data is greater than the third preset time interval, the first total number of frames is greater than the second preset number of frames, and the vehicle is in a predetermined working state during the first preset time period, then it is determined that the vehicle battery is in an abnormal state, wherein the third preset time interval is greater than the second preset time interval.

[0055] In some embodiments, determining the state of the vehicle battery according to the target parameter after the monitoring start time further includes:

[0056] The state of the vehicle battery is determined according to the target parameter within a second preset time period after the monitoring start time, wherein the second preset time period includes the duration of time for the power battery of the vehicle to change from an uncharged state to a charged state.

[0057] In this way, the embodiment of the present application makes the status detection of the vehicle battery more accurate based on the target parameters in the period before the charging status of the power battery changes.

[0058] In some embodiments, determining the state of the vehicle battery according to the target parameter within a second preset period after the monitoring start time includes:

[0059] Determine, according to the battery data received in the second preset time period, a second time interval between two adjacent frames of the battery data and a second total number of frames of the battery data received in the second preset time period;

[0060] If the second time interval is higher than the fourth preset time interval, there are at least two adjacent frames of battery data with low voltage values ​​greater than the preset low voltage threshold and the time interval between the at least two adjacent frames of battery data is greater than the fifth preset time interval, the second total number of frames is greater than the third preset number of frames, and the vehicle is in a predetermined working state during the second preset time period, then it is determined that the vehicle battery is in an abnormal state, wherein the fifth preset time interval is greater than the fourth preset time interval.

[0061] In some embodiments, determining the state of the vehicle battery according to the target parameter after the monitoring start time further includes:

[0062] The state of the vehicle battery is determined according to the target parameter within a third preset time period after the monitoring start time, wherein the third preset time period includes the duration of the vehicle changing from a power-off state to a power-on state.

[0063] In this way, the embodiments of the present application enable the electronic device to perform vehicle battery status detection based on target parameters in a period before the vehicle changes from a power-off state to a power-on state, thereby further improving the credibility of the status detection result.

[0064] In some embodiments, determining the state of the vehicle battery according to the target parameter within a third preset time period after the monitoring start time includes:

[0065] Determine, according to the battery data received within the third preset time period, a third time interval between two adjacent frames of the battery data and a third total number of frames of the battery data received within the third preset time period;

[0066] If the third time interval is higher than the sixth preset time interval, there are at least two adjacent frames of battery data in which the low voltage value is greater than the preset low voltage threshold and the time interval between the at least two adjacent frames of battery data is greater than the seventh preset time interval, the third total number of frames is greater than the fourth preset number of frames, and the vehicle is in a predetermined working state during the third preset time period, then it is determined that the vehicle battery is in an abnormal state, wherein the seventh preset time interval is greater than the sixth preset time interval.

[0067] The present application provides a vehicle battery status detection device, including:

[0068] A transceiver unit for receiving battery data of the vehicle;

[0069] A processing unit is used to determine the state of the vehicle battery according to the target parameters in the battery data, wherein the target parameters are determined based on battery abnormal state data statistics, and the state of the vehicle battery includes a normal state and an abnormal state.

[0070] An embodiment of the present application provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the above-mentioned vehicle battery status detection method is implemented.

[0071] An embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program. When the computer program is executed by one or more processors, the above-mentioned vehicle battery status detection method is implemented.

[0072] The vehicle battery status detection device, electronic device and computer-readable storage medium of the embodiments of the present application are based on target parameters, or, in other words, based on the type or category of parameters that can determine whether the vehicle battery status is abnormal, so that after the vehicle reports its own battery data, the electronic device can determine the status of the vehicle battery based on the target parameters in the battery data, thereby effectively detecting whether the vehicle battery is abnormal, and the safety of the vehicle and the users inside the vehicle is guaranteed.

[0073] For example, indicators can be obtained in advance through big data analysis, that is, the type of target parameters predetermined based on battery abnormal status data statistics, so that after the vehicle reports its own battery data, the electronic device can accurately determine the status of the vehicle battery based on this type of target parameter in the battery data, so it can effectively detect whether the vehicle battery is abnormal, and therefore, can effectively protect the safety of the vehicle and users.

[0074] Additional aspects and advantages of the embodiments of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the embodiments of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0076] Figure 1 A schematic flow chart of a vehicle battery status detection method in certain embodiments of the present application;

[0077] Figure 2 A schematic diagram of a vehicle battery status detection device in certain embodiments of the present application;

[0078] Figure 3 A schematic flow chart of a vehicle battery status detection method in certain embodiments of the present application;

[0079] Figure 4 A schematic flow chart of a vehicle battery status detection method in certain embodiments of the present application;

[0080] Figure 5 A schematic flow chart of a vehicle battery status detection method in certain embodiments of the present application;

[0081] Figure 6 A schematic flow chart of a vehicle battery status detection method in certain embodiments of the present application;

[0082] Figure 7 A schematic flow chart of a vehicle battery status detection method in certain embodiments of the present application;

[0083] Figure 8 A schematic flow chart of a vehicle battery status detection method in certain embodiments of the present application;

[0084] Fig. 9 A schematic flow chart of a vehicle battery status detection method in certain embodiments of the present application;

[0085] Fig.10 A schematic flow chart of a vehicle battery status detection method in certain embodiments of the present application;

[0086] Fig.11 A schematic flow chart of a vehicle battery status detection method in certain embodiments of the present application;

[0087] Fig.12 A schematic flow chart of a vehicle battery status detection method in certain embodiments of the present application;

[0088] Fig.13 This is a flow chart of a method for detecting the status of a vehicle battery in certain embodiments of the present application. DETAILED DESCRIPTION

[0089] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals represent the same or similar elements or elements having the same or similar functions from beginning to end. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the embodiments of the present application, and cannot be understood as limiting the embodiments of the present application.

[0090] When testing the vehicle battery in a new energy vehicle, it is usually necessary to use various preset sensors (such as temperature sensors) to detect various data of the vehicle battery, and determine whether the vehicle battery is abnormal based on the size relationship between the various data and the corresponding threshold. However, this method relies on the vehicle controller (or other processing unit) in the vehicle, that is, the vehicle controller needs to accurately obtain data from various sensors to ensure effective detection of the battery status. However, due to the limitation of vehicle hardware costs, the processing capacity of the vehicle controller is limited. In addition, when the vehicle completes the detection locally, the on-board chip also needs to store the battery data. In other words, the vehicle chip also needs to bear the storage load of the battery data.

[0091] Based on the above problems you may encounter, please refer to Figure 1 The present application provides a method for detecting the state of a vehicle battery, comprising:

[0092] 01: Receive vehicle battery data;

[0093] 02: Determine the state of the vehicle battery according to the target parameters in the battery data, wherein the target parameters are determined based on battery abnormal state data statistics, and the state of the vehicle battery includes a normal state and an abnormal state.

[0094] See also Figure 2 , an embodiment of the present application provides a vehicle battery status detection device 100. The vehicle battery status detection method of the embodiment of the present application can be implemented by the vehicle battery status detection device 100 of the embodiment of the present application. Specifically, the status detection device 100 includes a transceiver unit 110 and a processing unit 120, wherein the transceiver unit 110 is used to receive the battery data of the vehicle; the processing unit 120 is used to determine the status of the vehicle battery according to the target parameters in the battery data, wherein the target parameters are determined according to the battery abnormal status data statistics, and the status of the vehicle battery includes a normal state and an abnormal state.

[0095] An embodiment of the present application provides an electronic device, which includes a memory and a processor. The vehicle battery status detection method of the embodiment of the present application can be implemented by the electronic device of the embodiment of the present application. Specifically, a computer program is stored in the memory, and the processor is used to receive battery data of the vehicle; the status of the vehicle battery is determined according to the target parameters in the battery data, wherein the target parameters are determined according to the battery abnormal status data statistics, and the status of the vehicle battery includes a normal state and an abnormal state.

[0096] Specifically, after the vehicle of the implementation mode of the present application collects relevant data of the vehicle battery, that is, battery data, the battery data is sent / uploaded / reported to the electronic device; after receiving the battery data, the electronic device will determine whether the vehicle battery is abnormal / faulty based on the target parameters in the battery data and the values ​​of the target parameters, that is, determine whether the vehicle battery is in a normal state or an abnormal state.

[0097] It can be understood that the battery data in the embodiments of the present application can be understood as a collection of multiple data related to the battery. For example, in some embodiments, the battery data includes the remaining power (State Of Charge, SOC) of the vehicle battery, the maximum single-cell voltage (of the battery), the minimum single-cell voltage (of the battery), the charging status indicator (used to indicate whether the vehicle battery is in a charging state) and a combination of multiple other parameters.

[0098] Furthermore, the target parameters in the embodiments of the present application can be understood as the types of parameters strongly associated with "the vehicle battery is in an abnormal state" obtained by the electronic device after big data analysis and processing based on the battery data (or battery abnormality data) of the vehicle battery in an abnormal state that has been collected / acquired in advance. Therefore, when the embodiments of the present application perform vehicle battery status detection based on the target data, the detection result has a high degree of credibility.

[0099] Furthermore, the embodiments of the present application enable the electronic device to, after receiving multiple battery-related data sent by the vehicle, select one or more types of parameters that match the target parameters from the multiple battery-related data based on pre-stored (or predetermined) target parameters, and determine whether the vehicle battery is in an abnormal state based on the specific numerical values ​​of the one or more types of parameters.

[0100] For example, when the battery data received by the electronic device includes the above-mentioned remaining power, maximum single-cell unit, minimum single-cell voltage and charging status identification, and the target parameters include the maximum single-cell unit and the minimum single-cell voltage, the electronic device can determine whether the vehicle's battery is abnormal based on the numerical value of the maximum single-cell unit and the numerical value of the minimum single-cell voltage in the received battery data.

[0101] It is understood that the specific process of determining the target parameters from the battery data is a content that can be set according to actual conditions. For example, in some embodiments, after receiving the battery data sent by the vehicle, the electronic device selects the target parameters from the battery data according to the pre-stored target parameter selection information. In other embodiments, after receiving the battery data, the electronic device forwards the battery data to the corresponding processing device, and the processing device extracts the target parameters from the battery data and forwards the target parameters to the electronic device.

[0102] It can also be understood that the vehicle battery in the embodiments of the present application can be understood as a combination of one or more of the various batteries responsible for different functions in the vehicle, such as a power battery and / or a low-voltage battery. In order to more clearly illustrate the various embodiments provided by the present application, the low-voltage battery in the vehicle will be used as an example for explanation. In other words, unless otherwise specified, each vehicle battery that appears later can be understood as a low-voltage battery.

[0103] In certain embodiments, the vehicle will collect battery data at preset time intervals and report the collected battery data to the electronic device. The electronic device then determines whether the vehicle battery is faulty based on the battery data continuously sent by the vehicle. For example, when the electronic device determines that the vehicle battery is in a discharging state for 5 minutes based on the target parameters in the battery data continuously received within 5 minutes, but the remaining power of the vehicle battery drops from 100% to 10% within 5 minutes, the electronic device will determine that the vehicle battery is in an abnormal state.

[0104] In certain embodiments, when the electronic device determines that the vehicle battery is in an abnormal state, it will send a prompt message to the user terminal to remind the user that there is an abnormality in the vehicle battery of his vehicle and that battery maintenance is required to avoid the user driving a vehicle with an abnormal battery state, thereby ensuring the safety of the vehicle and the user.

[0105] In summary, the implementation manner of the present application is based on target parameters, or in other words, based on the type or category of parameters that can determine whether the vehicle battery status is abnormal, so that after the vehicle reports its own battery data, the electronic device can determine the status of the vehicle battery based on the target parameters in the battery data, thereby effectively detecting whether the vehicle battery is abnormal, and the safety of the vehicle and the users inside the vehicle is guaranteed.

[0106] Furthermore, it is also conceivable that, since the implementation method of the present application is based on an electronic device to complete the status detection of the vehicle battery, the vehicle does not need to store the battery data locally for a long time in order to complete the status detection by itself, thereby effectively reducing the operating load of the vehicle. Therefore, the on-board chip does not need to be responsible for abnormal detection of the vehicle battery, thereby also reducing the load of the on-board chip.

[0107] In addition, for example, indicators can be obtained in advance through big data analysis, that is, the type of target parameters predetermined based on battery abnormal status data statistics, so that after the vehicle reports its own battery data, the electronic device can accurately determine the status of the vehicle battery based on this type of target parameter in the battery data, so it can effectively detect whether the vehicle battery is abnormal, and therefore, can effectively protect the safety of the vehicle and the user.

[0108] In addition, it can be understood that the specific composition of the electronic device in the embodiments of the present application can be set according to actual conditions. For example, in some embodiments, the electronic device includes a server (or a cloud server). In other embodiments, the electronic device includes an edge gateway device, etc.

[0109] In some embodiments, the state detection method further includes:

[0110] Step 03: If no battery data is received within a first preset time period, it is determined that the vehicle battery is in an abnormal state.

[0111] The processing unit of the embodiment of the present application also includes a state determination module, which is used to determine that the vehicle battery is in an abnormal state if no battery data is received within a first preset time period.

[0112] The processor of the embodiment of the present application is also used to determine that the vehicle battery is in an abnormal state if no battery data is received within a first preset time period.

[0113] That is, the electronic device of the embodiment of the present application will also determine whether the state of the vehicle battery is abnormal based on the presence or absence of battery data.

[0114] Specifically, if the electronic device does not receive battery data within the first preset time, the electronic device will determine that the low-voltage battery in the vehicle is abnormal, so the vehicle cannot collect battery data of the low-voltage battery. In some embodiments, when the electronic device fails to receive battery data reported by the vehicle within 10 minutes, it will be determined that the low-voltage battery is in an abnormal state.

[0115] In certain embodiments where the vehicle sends a data message carrying battery data to an electronic device at preset time intervals, and the electronic device parses the data message to obtain the battery data after receiving the data message, if the electronic device fails to parse the battery data from any data message received within the first preset time period, the electronic device determines that the vehicle battery is in an abnormal state.

[0116] In this way, the implementation mode of the present application determines the status of the vehicle battery according to whether the vehicle reports battery data, so that the efficiency of status detection can be guaranteed.

[0117] In certain embodiments, the target parameters include a maximum single-cell voltage and a minimum single-cell voltage of the vehicle battery;

[0118] Step 02 includes:

[0119] 020: When the vehicle is powered on, determine the status of the vehicle battery based on the highest single-cell voltage and the lowest single-cell voltage.

[0120] The processing unit of the embodiment of the present application is also used to determine the state of the vehicle battery based on the highest single-cell voltage and the lowest single-cell voltage when the vehicle is in a powered-on state.

[0121] The processor of the embodiment of the present application is also used to determine the state of the vehicle battery based on the highest single-cell voltage and the lowest single-cell voltage when the vehicle is in a powered-on state.

[0122] That is, the electronic device of the embodiment of the present application performs statistical / analysis processing on the battery abnormal status data, and after determining that in the powered-on vehicle, the highest single-cell voltage and the lowest single-cell voltage of the low-voltage battery are strongly correlated with the status of the low-voltage battery, in other words, after determining that the highest single-cell voltage and the lowest single-cell voltage can effectively characterize whether the low-voltage battery is in an abnormal state, the electronic device will, based on this prior knowledge, determine whether the low-voltage battery is faulty according to the highest single-cell voltage and the lowest single-cell voltage of the low-voltage battery in the battery data after the battery data reported by the powered-on vehicle. Alternatively, the highest single-cell voltage and the lowest single-cell voltage of the low-voltage battery are extracted from the battery data reported by the powered-on vehicle, and then determine whether the low-voltage battery is faulty according to the highest single-cell voltage and the lowest single-cell voltage.

[0123] It can be understood that the low-voltage battery in the embodiment of the present application is a battery pack composed of multiple single-cell batteries, and the single-cell voltage of each single-cell battery is different. Therefore, the vehicle can determine the maximum and minimum values ​​of the single-cell voltages of all single-cell batteries, that is, the highest single-cell voltage and the lowest single-cell voltage by detecting the voltage of each single-cell battery.

[0124] It can also be understood that the specific manner in which the electronic device determines the state of the low-voltage battery based on the highest single-cell voltage and the lowest single-cell voltage is content that can be set according to actual conditions. For example, in some embodiments, when the electronic device determines that the low-voltage battery has been in a discharge state for 30 minutes based on battery data sent by a vehicle in a powered-on state, but the highest single-cell voltage within these 30 minutes is always 0V, and the lowest single-cell voltage is also always 0V, the electronic device determines that the low-voltage battery is in an abnormal state.

[0125] It can also be understood that when the vehicle is powered on in the embodiments of the present application, most of the components in the vehicle (such as the motor and the battery) are in working state. In contrast, when the vehicle is powered off, only some of the components in the vehicle are in working state. For example, in some embodiments, when the vehicle is powered off, only the low-voltage battery is in working state to supply power to various low-voltage components (such as the starter).

[0126] In this way, the embodiment of the present application enables the state of the vehicle battery to be effectively determined based on the highest single-cell voltage and the lowest single-cell voltage.

[0127] In some embodiments, the battery data includes multiple groups, and step 020 includes:

[0128] 0200: When the vehicle is powered on, if within a second preset time period, the highest single-cell voltage and the lowest single-cell voltage of each group are both preset single-cell voltage values, it is determined that the vehicle battery is in an abnormal state.

[0129] The processing unit of the embodiment of the present application is also used to determine that the vehicle battery is in an abnormal state if, when the vehicle is in a powered-on state, within a second preset time period, the highest single-cell voltage and the lowest single-cell voltage in each group of battery data are equal, and / or the highest single-cell voltage and the lowest single-cell voltage are both preset single-cell voltage values.

[0130] The processor of the embodiment of the present application is also used to determine that the vehicle battery is in an abnormal state if, when the vehicle is in a powered-on state, within a second preset time period, the highest single-cell voltage and the lowest single-cell voltage in each group of battery data are equal, and / or the highest single-cell voltage and the lowest single-cell voltage are both preset single-cell voltage values.

[0131] That is, in the embodiment of the present application, a vehicle in a powered-on state can send a set of battery data to the electronic device once at a preset time interval. After receiving multiple sets of battery data, the electronic device determines the duration of the highest single-cell voltage and the lowest single-cell voltage of the low-voltage battery being abnormal values, and then determines the state of the low-voltage battery.

[0132] Furthermore, if the electronic device determines the highest single-cell voltage and the lowest single-cell voltage of the low-voltage battery based on the received multiple sets of battery data, and they are always the preset single-cell voltage values ​​within the second preset time period, or in other words, within the second preset time period, the highest single-cell voltage and the lowest single-cell voltage corresponding to each moment are the preset single-cell voltage values, then the electronic device will determine that the low-voltage battery is in an abnormal state.

[0133] It can be understood that the second preset time in the implementation manner of the present application can be set according to actual conditions. For example, in some implementation manners, the second preset time is 5 minutes; in other implementation manners, the value range of the second preset time is [3min, 7min], where min represents minutes.

[0134] It can also be understood that the preset single-cell voltage value in the embodiments of the present application can also be set according to actual conditions. For example, in some embodiments, the preset single-cell voltage value is 0V; in other embodiments, the preset single-cell voltage value has a value range of [0V, 0.5V].

[0135] In this way, the embodiment of the present application enables the state of the vehicle battery to be accurately determined based on the duration that the value of the highest single-cell voltage and the value of the lowest single-cell voltage are both at abnormal values.

[0136] In addition, it can also be understood that the vehicle of the embodiment of the present application can also send the current time (or timestamp) to the electronic device while sending the battery data. Then, the electronic device can determine the highest single-cell voltage is the preset single-cell voltage value and the duration of the lowest single-cell voltage being the preset single-cell voltage value based on the timestamp of each battery data, and whether it meets the second preset duration, thereby determining the status of the low-voltage battery.

[0137] In some embodiments, step 020 includes:

[0138] 0201: When the vehicle is powered on, determine the status of the vehicle battery based on the voltage difference between the highest single-cell voltage and the lowest single-cell voltage.

[0139] The processing unit of the embodiment of the present application is also used to determine the state of the vehicle battery according to the voltage difference between the highest single-cell voltage and the lowest single-cell voltage when the vehicle is in a powered-on state.

[0140] The processor of the embodiment of the present application is also used to determine the state of the vehicle battery based on the voltage difference between the highest single-cell voltage and the lowest single-cell voltage when the vehicle is in a powered-on state.

[0141] That is, the electronic device of the embodiment of the present application determines, based on the pre-performed abnormal status data analysis / statistics, that the voltage difference between the high single-cell voltage and the lowest single-cell voltage can accurately characterize the state of the vehicle battery. After obtaining the high single-cell voltage and the lowest single-cell voltage, the electronic device will calculate the difference between the two to obtain the voltage difference, and judge the state of the low-voltage battery based on the voltage plot.

[0142] It can be understood that the specific method of determining the state of the low-voltage battery based on the voltage difference between the high single-cell voltage and the lowest single-cell voltage is content that can be set according to actual conditions. For example, in some embodiments, when the electronic device determines based on the received battery data that the voltage difference of the low-voltage battery has not changed within 30 minutes, it will determine that the low-voltage battery is faulty.

[0143] In this way, the embodiment of the present application enables the state of the vehicle battery to be accurately determined based on the voltage difference between the high single-cell voltage and the lowest single-cell voltage.

[0144] In some embodiments, the battery data includes multiple groups, and step 0201 includes:

[0145] 02010: When the vehicle is powered on, if within a third preset time period, the voltage difference between the highest single-cell voltage and the lowest single-cell voltage in each group is greater than the preset voltage difference, it is determined that the vehicle battery is in an abnormal state.

[0146] The processing unit of the embodiment of the present application is also used to determine that the vehicle battery is in an abnormal state if, when the vehicle is in a powered-on state, the voltage difference between the highest single-cell voltage and the lowest single-cell voltage in each group is greater than the preset voltage difference within a third preset time period.

[0147] The processor of the embodiment of the present application is also used to determine that the vehicle battery is in an abnormal state if, when the vehicle is in a powered-on state, the voltage difference between the highest single-cell voltage and the lowest single-cell voltage in each group is greater than the preset voltage difference within a third preset time period.

[0148] That is, the electronic device of the embodiment of the present application will determine whether the voltage difference of the low-voltage battery has been maintained at an abnormal value for a long time based on the battery data continuously sent by the vehicle. If so, it is determined that the low-voltage battery is in an abnormal state.

[0149] Exemplarily, in certain embodiments, when the electronic device determines that the voltage difference between the highest single-cell voltage and the lowest single-cell voltage in each set of battery data exceeds 0.1V based on multiple sets of battery data continuously sent by the powered-on vehicle within 10 minutes, the electronic device determines that the vehicle's low-voltage battery is in an abnormal state.

[0150] It can be understood that 10 minutes in the above example is only one of the optional values ​​of the third preset time length. In other implementations, the value interval of the third preset time length is [5min, 15min].

[0151] It can also be understood that 0.1V in the above example is only one of the optional values ​​of the preset voltage difference. In other implementations, the preset voltage difference has a value interval of (0V, 0.3V).

[0152] In this way, the embodiment of the present application enables the state of the vehicle battery to be accurately determined based on the length of time that the voltage difference maintains an abnormal value.

[0153] In certain embodiments, see Figure 3 , Figure 3A flow chart of a vehicle battery status detection method in certain embodiments of the present application is shown. That is, the electronic device of the embodiment of the present application can determine the status of the vehicle battery based on the above three methods, one of which is determined based on the presence or absence of battery data, that is, if the battery data is not received within the first preset time, the vehicle battery is determined to be abnormal, corresponding to the above step 03; the second is determined based on whether the single-cell voltage (i.e., the high single-cell voltage and the lowest single-cell voltage) is abnormal, that is, if the high single-cell voltage and the lowest single-cell voltage within the second preset time are both preset single-cell voltages, the vehicle battery is determined to be abnormal, corresponding to the above step 0200; the third is determined based on whether the voltage difference is abnormal, that is, if the voltage difference between the high single-cell voltage and the lowest single-cell voltage within the third preset time is greater than the preset voltage value, the vehicle battery is determined to be abnormal, corresponding to the above step 02010. Based on this, the embodiment of the present application enables the status of the vehicle battery to be determined based on data features of different dimensions, so that it can effectively detect whether the vehicle battery is abnormal.

[0154] In certain embodiments, see Figure 4 , 02 includes:

[0155] 021: Determine the monitoring start time according to the power converter parameters in the target parameters;

[0156] 022: Determine the status of the vehicle battery based on the target parameters after the monitoring start time.

[0157] The processing unit of the embodiment of the present application is also used to determine the monitoring start time according to the power converter parameters in the target parameters; and determine the state of the vehicle battery according to the target parameters after the monitoring start time.

[0158] The processor of the embodiment of the present application is also used to determine the monitoring start time according to the power converter parameters in the target parameters; and determine the state of the vehicle battery according to the target parameters after the monitoring start time.

[0159] That is, the electronic device of the embodiment of the present application determines that different operating parameters of the low-voltage battery can jointly reflect the state of the low-voltage battery before and after a certain moment based on the pre-performed big data analysis (i.e., statistical analysis and processing based on abnormal battery data). For example, if the value of a certain operating parameter before a specific moment is a first value, and the value of another operating parameter after the specific moment is a second value, the electronic device determines that the low-voltage battery is abnormal.

[0160] Therefore, when the electronic device of the implementation mode of the present application determines that the low-voltage battery may be in an abnormal state based on the power converter parameters, or in other words, at a specific moment (corresponding to the start time of monitoring), the power converter parameters of the low-voltage battery meet the preset conditions, then it is determined that the low-voltage battery may be in an abnormal state. Then, the electronic device verifies whether the low-voltage battery is in an abnormal state based on the target parameters after the specific moment, that is, the target parameters after the start time of monitoring.

[0161] It is understandable that the power converter parameters of the embodiments of the present application can be understood as parameters related to the direct current converter. The direct current converter can be understood as a device for converting the high-voltage direct current high-voltage electricity input from the power battery into direct current low-voltage electricity, and outputting the direct current low-voltage electricity to the low-voltage battery to charge the low-voltage battery.

[0162] Furthermore, the specific types of power converter parameters in the embodiments of the present application can be set according to actual conditions. For example, in some embodiments, the power converter parameters are a combination of one or more of the input side voltage, output side voltage, operating frequency and other parameters.

[0163] It can also be understood that the specific method of determining the start time of monitoring is a content that can be set according to actual conditions. For example, in certain embodiments where the power converter parameters include the output side voltage, when the power converter is always in working state between 8:00 and 8:10, but the output side voltage is always 0, 8:10 will be used as the start time of monitoring. Then, the electronic device will determine whether the low-voltage battery is abnormal based on the battery data reported by the vehicle after 8:10.

[0164] In this way, the implementation mode of the present application is based on the setting of the monitoring start time, so that the target parameters before and after the monitoring start time will be used to determine the state of the vehicle battery, so the state of the vehicle battery can be effectively determined.

[0165] In certain embodiments, when the vehicle changes from a powered-on state to a powered-off state and the first duration is not less than a fourth preset duration, the monitoring start time is determined based on the time when the vehicle changes to the powered-off state, and the first duration is determined based on the duration during which the power converter parameters meet the first preset condition when the vehicle is powered-on.

[0166] That is, if the power converter parameters maintain abnormal values ​​for more than a certain period of time during vehicle power-on, that is, the first duration that the power converter parameters meet the first preset condition is longer than the fourth preset duration, then the electronic device can determine whether the low-voltage battery is faulty based on the target data reported after the vehicle is powered off, that is, the battery data acquired after the monitoring start time.

[0167] Therefore, in some embodiments, please refer to Figure 5 , step 021 of the state detection method in the implementation manner of the present application may include:

[0168] 0210: When the vehicle is in a powered-on state, determine a first duration during which the power converter parameter satisfies a first preset condition;

[0169] 0211: When the vehicle changes from a powered-on state to a powered-off state, if the first duration is not less than a fourth preset duration, the moment when the vehicle changes to the powered-off state is determined as the monitoring start moment.

[0170] Corresponding to the state detection method of the embodiment of the present application, the processing unit of the embodiment of the present application can also be used to determine the first duration that the power converter parameters meet the first preset condition when the vehicle is in a power-on state; when the vehicle changes from a power-on state to a power-off state, if the first duration is not less than a fourth preset duration, the moment when the vehicle changes to the power-off state is determined as the start moment of monitoring.

[0171] Corresponding to the state detection method of the embodiment of the present application, the processor of the embodiment of the present application can also be used to determine the first duration of the power converter parameter satisfying the first preset condition when the vehicle is in the power-on state; when the vehicle changes from the power-on state to the power-off state, if the first duration is not less than the fourth preset duration, the moment when the vehicle changes to the power-off state is determined as the start moment of monitoring.

[0172] It is understandable that when the vehicle is powered on (i.e., the vehicle is powered on), multiple devices in the vehicle will be in working state, such as the power battery and storage battery in the vehicle will supply power to other electronic loads in the vehicle. When the vehicle is powered off (i.e., the vehicle is powered off), only some devices in the vehicle are in working state, such as the low-voltage storage battery supplying power to some electronic loads in the vehicle.

[0173] It should be noted that the vehicle of the embodiment of the present application can send battery data to the electronic device when it is in the power-on state or the power-off state. In some embodiments, when the vehicle is in the power-on state, the power battery and the low-voltage battery will power the motor so that the motor reports the acquired battery data to the electronic device; and when the vehicle is in the power-off state, the low-voltage battery will power the motor to ensure that the motor can still report the battery data to the electronic device.

[0174] It can also be understood that the first preset condition and the fourth preset time in the embodiments of the present application are both contents that can be set according to actual conditions. For example, in certain embodiments where the power converter parameters include the input side voltage, if the vehicle is in the power-on state, the input side voltage is always greater than 20V within 20 minutes, then the first duration for which the power converter parameters (corresponding to the input side voltage) satisfy the first preset condition (corresponding to greater than 20V) is not less than the fourth preset time (corresponding to 20 minutes). Then, after the electronic device determines that the vehicle has changed from the power-on state to the power-off state, it determines or detects the low-voltage battery state based on the battery data reported by the vehicle in the power-off state.

[0175] It is understood that both the battery data and the target parameters in the embodiments of the present application may include a state parameter for characterizing the power-on and power-off states of the vehicle. In some embodiments, when the value of the state parameter is 1, it indicates that the vehicle is in the power-on state; when the value of the state parameter is 0, it indicates that the vehicle is in the power-off state.

[0176] In certain embodiments, when the power gear of the vehicle is in the "ON gear", the vehicle is in a powered-on state; when the power gear of the vehicle is in the "OFF gear", the vehicle is in a powered-off state.

[0177] It can also be understood that when the electronic device of the embodiment of the present application receives the battery data reported by the vehicle, it can record the reception time of each part of the battery data. For example, when the battery data includes multiple groups, and each group includes power converter parameters, the electronic device will record the reception time of each group of power converter parameters when receiving each group of power converter parameters. Alternatively, the battery data reported by the vehicle also includes the collection time of each group of power converter parameters. Thus, the electronic device can determine the first duration of the power converter parameters meeting the first preset condition based on the reception time or collection time of the power converter parameters.

[0178] In addition, it should be noted that the specific numerical value of the fourth preset time length in the implementation manner of the present application can be set according to actual conditions. For example, in some implementation manners, the fourth preset time length is 1 hour; and in other implementation manners, the fourth preset time length is [1h, 1.5h], where h represents hours.

[0179] In this way, the embodiment of the present application enables the electronic device to determine whether the vehicle battery is likely to be in an abnormal state based on the length of time the power converter parameter maintains the abnormal state, thereby ensuring the effectiveness of the monitoring start time.

[0180] In some embodiments, the first preset duration is determined based on the duration that the power converter is in a step-down state and the voltage on the DC low-voltage side is not less than a preset voltage value when the vehicle is in a powered-on state.

[0181] That is, the power converter parameters of the embodiment of the present application include the DC low-voltage side voltage and the mode parameter "used to characterize the working mode of the power converter". Moreover, when the mode parameter can characterize that the power converter satisfies the step-down state and the DC low-voltage side voltage is not less than the preset voltage value, the first preset condition of the embodiment of the present application is met. Furthermore, the electronic device of the embodiment of the present application can determine the duration of the power converter being in the step-down state and the DC low-voltage side voltage being not less than the preset voltage value based on the battery data, thereby obtaining the above-mentioned first duration.

[0182] Therefore, in some embodiments, step 0210 of the state detection method of the embodiment of the present application may include:

[0183] 02100: When the vehicle is powered on, determine the first duration for which the power converter parameters meet the first preset condition based on the duration for which the power converter is in a step-down state and the voltage on the DC low-voltage side is not less than a preset voltage value.

[0184] Corresponding to the state detection method of the embodiment of the present application, the processing unit of the embodiment of the present application can also be used to determine the first duration that the power converter parameters meet the first preset condition based on the duration that the power converter is in a step-down state and the voltage on the low-voltage side of the DC power is not less than the preset voltage value when the vehicle is in a powered-on state.

[0185] Corresponding to the state detection method of the embodiment of the present application, the processor of the embodiment of the present application can also be used to determine the first duration that the power converter parameters meet the first preset condition based on the duration that the power converter is in a step-down state and the voltage on the low-voltage side of the DC power is not less than the preset voltage value when the vehicle is in a powered-on state.

[0186] It can be understood that the specific size of the preset voltage value in the embodiments of the present application can be set according to actual conditions. For example, in some embodiments, the preset voltage value is 13.6V; while in other embodiments, the preset voltage value has a value range of [12V, 14V].

[0187] In certain embodiments, when the first cumulative duration is not less than the sixth preset duration, the monitoring start time is determined based on the time when the vehicle changes to the power-off state, and the first cumulative duration is determined based on the power converter parameters within the fifth preset time before the vehicle changes from the power-on state to the power-off state, and the cumulative time that satisfies the second preset condition.

[0188] Specifically, the electronic device of the implementation mode of the present application can determine the cumulative time for the power converter parameters to meet the second preset condition, that is, the first cumulative time, based on the battery data reported by the vehicle during the period from power-on to power-off, and determine whether the low-voltage battery is likely to be in an abnormal state based on the relationship between the first cumulative time and the sixth preset time.

[0189] Therefore, in certain embodiments of the present application, please refer to Figure 6 , step 021 in the state detection method in the implementation manner of the present application may include:

[0190] 0212: Determine a first accumulated time period that satisfies a second preset condition according to a power converter parameter within a fifth preset time period before the vehicle changes from a power-on state to a power-off state;

[0191] 0213: If the first accumulated time is not less than the sixth preset time, the time when the vehicle changes to the power-off state is determined as the monitoring start time.

[0192] Corresponding to the state detection method of the embodiment of the present application, the processing unit of the embodiment of the present application can also be used to determine the first cumulative time that meets the second preset condition based on the power converter parameters within the fifth preset time before the vehicle changes from the power-on state to the power-off state; if the first cumulative time is not less than the sixth preset time, the moment when the vehicle changes to the power-off state is determined as the start time of monitoring.

[0193] Corresponding to the state detection method of the implementation mode of the present application, the processor of the implementation mode of the present application can also be used to determine the first cumulative time that meets the second preset condition based on the power converter parameters within the fifth preset time before the vehicle changes from the power-on state to the power-off state; if the first cumulative time is not less than the sixth preset time, the moment when the vehicle changes to the power-off state is determined as the start time of monitoring.

[0194] It is understandable that the specific setting method of the second preset condition in the implementation manner of the present application can be set according to the actual situation. For example, in some implementations, the second preset condition is consistent with the above-mentioned first preset condition, both of which are that the power converter is in a step-down state, and the DC low-voltage side voltage of the power converter is not less than the preset voltage value. In other implementations, the second preset condition refers to the power converter being in a step-down state.

[0195] It can also be understood that the specific setting method of the fifth preset time length of the implementation mode of the present application can be set according to actual conditions. For example, in some embodiments, the fifth preset time length is the last two hours that the vehicle is powered on. By way of example, assuming that the vehicle is powered on at 8 o'clock and changes to a power-off state at 14 o'clock, the fifth preset time length is from 12 o'clock to 14 o'clock.

[0196] In other embodiments, the fifth preset time period is the second half of the entire period when the vehicle changes from the power-on state to the power-off state. For example, assuming that the vehicle is powered on at 10 o'clock and changes to the power-off state at 12 o'clock, the fifth preset time period is from 11 o'clock to 12 o'clock.

[0197] In addition, it can be understood that the sixth preset time length in the implementation manner of the present application can also be set according to actual conditions. For example, in some implementation manners, the sixth preset time length is 1.5 hours; and in other implementation manners, the value range of the sixth preset time length is [1h, 2h], where h represents hours.

[0198] In this way, the embodiment of the present application enables the electronic device to accurately determine whether the vehicle battery is likely to be in an abnormal state based on the maintenance time of the abnormal value of the power converter parameter within a specific time period.

[0199] In certain embodiments, when the second duration satisfies the fourth preset condition and the third duration satisfies the fifth preset condition, the monitoring start time is determined based on the time when the third duration satisfies the fifth preset condition, the second duration is determined based on the duration during which the power converter parameters satisfy the third preset condition, and the third duration is determined based on the duration during which the power converter parameters do not satisfy the third preset condition.

[0200] That is, the embodiment of the present application will determine whether the vehicle battery is likely to be in an abnormal state based on the power converter parameters during the vehicle power-off period.

[0201] Specifically, the electronic device can determine the second duration during which the third preset condition is met, and the third duration during which the third preset condition is not met, based on the power converter parameters in the battery data reported by the vehicle when the vehicle is in the power-off state, and then determine whether the second duration and the third duration both meet the corresponding preset conditions, thereby determining whether the low-voltage battery is likely to be in an abnormal state.

[0202] Further, when both the second duration and the third duration meet the corresponding preset conditions, the electronic device uses the moment when the third duration meets the corresponding preset condition as the monitoring start moment. For example, if the second duration meets the fourth preset condition at 8 o'clock and the third duration meets the fourth preset condition at 10 o'clock, 10 o'clock will be determined as the monitoring start moment.

[0203] Therefore, in certain embodiments of the present application, please refer to Figure 7 , step 021 in the state detection method in the implementation manner of the present application may include:

[0204] 0214: When the vehicle is in a power-off state, determine a second duration during which the power converter parameter satisfies a third preset condition, and a third duration during which the power converter parameter does not satisfy the third preset condition;

[0205] 0215: When the second duration satisfies the fourth preset condition and the third duration satisfies the fifth preset condition, the moment when the third duration satisfies the fifth preset condition is determined as the monitoring start moment.

[0206] Corresponding to the state detection method of the implementation mode of the present application, the processing unit of the implementation mode of the present application can also be used to determine, when the vehicle is in a power-off state, a second duration for which the power converter parameters meet the third preset condition, and a third duration for which the third preset condition is not met; when the second duration meets the fourth preset condition and the third duration meets the fifth preset condition, the moment when the third duration meets the fifth preset condition is determined as the start moment of monitoring.

[0207] Corresponding to the state detection method of the implementation mode of the present application, the processor of the implementation mode of the present application can also be used to determine, when the vehicle is in a power-off state, a second duration for which the power converter parameters meet the third preset condition, and a third duration for which the third preset condition is not met; when the second duration meets the fourth preset condition and the third duration meets the fifth preset condition, the moment when the third duration meets the fifth preset condition is determined as the start moment of monitoring.

[0208] It is understandable that the third preset condition in the implementation manner of the present application is a content that can be set according to actual conditions. For example, in some implementation manners, the third preset condition is consistent with the above-mentioned second preset condition, both of which are that the power converter is in a step-down state, and the DC low-voltage side voltage of the power converter is not less than a preset voltage value. In other implementation manners, the third preset condition refers to the power converter being in a step-down state.

[0209] It can also be understood that the fourth preset condition and the fifth preset condition in the implementation manner of the present application can be set according to actual conditions. For example, in some implementation manners, the fourth preset condition is "the second duration is greater than 2 hours" and "the third duration is", and the fifth preset condition is "the third duration is greater than 3 hours".

[0210] In this way, the embodiment of the present application enables the electronic device to accurately determine whether the vehicle battery is likely to be in an abnormal state based on the duration of time that the power converter parameters meet the third preset condition and the duration of time that they do not meet the third preset condition.

[0211] In some embodiments, the target parameters also include the power type of the vehicle; when the vehicle is a vehicle of the first power type, the second duration is not less than the seventh preset duration, and the third duration is not less than the eighth preset duration, the monitoring start time is determined based on the time when the third duration is not less than the eighth preset duration.

[0212] That is, the embodiment of the present application will also consider the influence of the power type of the vehicle on the state detection of the vehicle battery. Specifically, when the vehicle is a vehicle of the first power type, the fourth preset condition is "the second duration is not less than the seventh preset duration", and the fifth preset condition is "the third duration is not less than the eighth preset duration". Furthermore, the moment when the third duration is not less than the eighth preset duration will be determined as the monitoring start moment.

[0213] Therefore, in some embodiments, step 0215 in the state detection method of the embodiment of the present application may include:

[0214] 02150: When the vehicle is a first power type vehicle and the second duration is not less than the seventh preset duration, if the third duration is not less than the eighth preset duration, the moment when the third duration meets the fifth preset condition is determined as the monitoring start moment.

[0215] Corresponding to the state detection method of the implementation mode of the present application, the processing unit of the implementation mode of the present application can also be used to, when the vehicle is a first power type vehicle and the second duration is not less than the seventh preset duration, if the third duration is not less than the eighth preset duration, then the moment when the third duration meets the fifth preset condition is determined as the start moment of monitoring.

[0216] Corresponding to the state detection method of the implementation mode of the present application, the processor of the implementation mode of the present application can also be used to, when the vehicle is a first power type vehicle and the second duration is not less than the seventh preset duration, if the third duration is not less than the eighth preset duration, then determine the moment when the third duration meets the fifth preset condition as the start moment of monitoring.

[0217] In some embodiments, the first power type vehicle refers to a pure electric-powered vehicle.

[0218] In some embodiments, the seventh preset time length is 40 minutes; in other embodiments, the value range of the seventh preset time length is [30min, 50min].

[0219] In some embodiments, the eighth preset time length is 2 minutes; in other embodiments, the value interval of the eighth preset time length is [1min, 3min].

[0220] In addition, it can be understood that the target parameters also include type parameters “used to characterize the power type”.

[0221] It can also be understood that when the vehicle is a first power type vehicle, the electronic device of the embodiment of the present application will determine the third duration and determine whether the third duration is not less than the eighth preset duration when it is determined that the condition that the second duration is not less than the seventh preset duration is met. In other words, the electronic device will first count the second duration, and after the second duration is not less than the seventh preset duration, count the third duration and determine whether the third duration is not less than the eighth preset duration.

[0222] Exemplarily, in the case where the vehicle is a first power type vehicle, the electronic device determines that the power converter parameter satisfies the fifth preset condition from 8 to 9 o'clock, the fourth preset condition from 9 to 10 o'clock, and the third preset condition from 10 to 12 o'clock based on the battery data from 8 o'clock to 12 o'clock, the seventh preset time is 40 minutes, and the eighth preset time is 2 minutes, then:

[0223] Although 8:00 to 9:00 satisfies the fifth preset condition, the second duration before 9:00 does not exceed 40 minutes, so 8:00 to 9:00 is not considered; at the same time, since the second duration exceeds 40 minutes after 9:40, the electronic device will consider whether the third duration after 9:40 is not less than 2 minutes. It can be imagined that since the third duration is equal to 2 minutes at 10:02 (i.e., it satisfies the "third duration is not less than 2 minutes"), the electronic device determines 10:02 as the monitoring start time.

[0224] In this way, the implementation mode of the present application enables the electronic device to determine whether the vehicle is likely to be in an abnormal state based on the power type of the vehicle, thereby further improving the detection accuracy.

[0225] In some embodiments, the target parameters also include the power type of the vehicle; when the vehicle is a second power type vehicle, the second duration is not less than a ninth preset duration, and the third duration is not less than a tenth preset duration, the monitoring start time is determined based on the time when the third duration is not less than the tenth preset duration.

[0226] That is, similar to the aforementioned step 02150, the electronic device of the embodiment of the present application determines whether the vehicle battery is likely to be in an abnormal state based on the corresponding conditions / logic when the vehicle is a vehicle of the second power type. Therefore, when the vehicle is a vehicle of the second power type, the fourth preset condition is "the second duration is not less than the ninth preset duration", and the fifth preset condition is "the third duration is not less than the tenth preset duration".

[0227] Optionally, in some implementations of the present application, step 0215 in the state detection method further includes:

[0228] 02151: When the vehicle is a second power type vehicle and the second duration is not less than the ninth preset duration, if the third duration is not less than the tenth preset duration, the moment when the third duration meets the fifth preset condition is determined as the monitoring start moment.

[0229] Corresponding to the state detection method of the implementation mode of the present application, the processing unit of the implementation mode of the present application can also be used to, when the vehicle is a second power type vehicle and the second duration is not less than the ninth preset duration, if the third duration is not less than the tenth preset duration, then the moment when the third duration meets the fifth preset condition is determined as the start moment of monitoring.

[0230] Corresponding to the state detection method of the implementation mode of the present application, the processor of the implementation mode of the present application can also be used to, when the vehicle is a second power type vehicle and the second duration is not less than the ninth preset duration, if the third duration is not less than the tenth preset duration, then determine the moment when the third duration meets the fifth preset condition as the start moment of monitoring.

[0231] In some embodiments, the ninth preset duration is 25 minutes. In other embodiments, the ninth preset duration has a value interval of [15min, 35min].

[0232] In some embodiments, the tenth preset time length is 2 minutes. In other embodiments, the tenth preset time length has a value interval of [1 min, 3 min].

[0233] It can also be understood that, similar to the above example of "the electronic device is based on 8 o'clock to 12 o'clock... the eighth preset duration is 2 minutes", in certain embodiments, when the vehicle is a second power type vehicle, the electronic device of the embodiment of the present application will determine the third duration and determine whether the third duration is not less than the tenth preset duration when it determines that the condition that the second duration is not less than the ninth preset duration is satisfied, or in other words, the electronic device will first count the second duration, and after the second duration is not less than the ninth preset duration, count the third duration and determine whether the third duration is not less than the tenth preset duration. For detailed explanation, please refer to the above example of "the electronic device is based on 8 o'clock to 12 o'clock... the eighth preset duration is 2 minutes".

[0234] In certain embodiments, when the vehicle is a first power type vehicle and the second duration is not less than the seventh preset duration, and the fourth duration is not less than the eleventh preset duration, or when the vehicle is a second power type vehicle and the second duration is not less than the tenth preset duration, and the fourth duration is not less than the eleventh preset duration, the monitoring start time is determined based on the time when the fourth duration is not less than the eleventh preset duration, and the fourth duration is determined based on the duration of the vehicle being in the powered-on state when the vehicle changes from a power-off state to a power-on state.

[0235] That is, the electronic device of the implementation mode of the present application can also determine whether the vehicle is in a powered-on state for a certain period of time when the fourth preset condition is met (that is, "the vehicle is a vehicle of the first power type and the second duration is not less than the seventh preset duration", or "the vehicle is a vehicle of the second power type and the second duration is not less than the tenth preset duration"), thereby determining whether the vehicle's low-voltage battery is likely to be in an abnormal state.

[0236] Therefore, in certain embodiments of the present application, step 021 in the state detection method may further include:

[0237] 0216: When the vehicle is a first power type vehicle and the second duration is not less than the seventh preset duration, or when the vehicle is a second power type vehicle and the second duration is not less than the tenth preset duration, if the vehicle changes from a power-off state to a power-on state and the fourth duration in the power-on state is not less than the eleventh preset duration, the moment when the fourth duration is not less than the eleventh preset duration is determined as the start moment of monitoring.

[0238] Corresponding to the state detection method of the implementation mode of the present application, the processing unit of the implementation mode of the present application may also be used for, when the vehicle is a first power type vehicle and the second duration is not less than the seventh preset duration, or when the vehicle is a second power type vehicle and the second duration is not less than the tenth preset duration, if the vehicle changes from a power-off state to a power-on state and the fourth duration in the power-on state is not less than the eleventh preset duration, then the moment when the fourth duration is not less than the eleventh preset duration is determined as the start moment of monitoring.

[0239] Corresponding to the state detection method of the implementation mode of the present application, the processor of the implementation mode of the present application may also be used for, when the vehicle is a first power type vehicle and the second duration is not less than the seventh preset duration, or when the vehicle is a second power type vehicle and the second duration is not less than the tenth preset duration, if the vehicle changes from a power-off state to a power-on state and the fourth duration in the power-on state is not less than the eleventh preset duration, then the moment when the fourth duration is not less than the eleventh preset duration is determined as the start moment of monitoring.

[0240] Exemplarily, if the fourth preset condition is met at 8 o'clock, and the vehicle changes from power-off to power-on at 9 o'clock, and then, if the vehicle is in the powered-on state for exactly eleven preset time periods (i.e. 20 minutes) at 9:20, the electronic device will determine that the vehicle battery may be in an abnormal state, and therefore use 9:20 as the start time of monitoring.

[0241] It is understandable that the 20 minutes in the above example is only one feasible way of setting the preset duration of eleven. In other implementations, the preset duration of eleven is 15 minutes.

[0242] In certain embodiments, see Figure 8 , Figure 8 The flowchart of the vehicle battery status detection method in certain embodiments of the present application. That is, the electronic device of the embodiment of the present application will simultaneously use the above five methods to determine whether the vehicle battery is likely to be in an abnormal state. Specifically, one is to determine whether the vehicle battery is likely to be in an abnormal state based on whether the above first duration is not less than the first duration when the vehicle is powered on, and if so, set the monitoring start time; the second is to determine whether the vehicle battery is likely to be in an abnormal state based on whether the above first accumulated duration is not less than the fourth duration when the vehicle is powered on.

[0243] The third and fourth are respectively when the vehicle is in the power-off state, whether the above-mentioned third duration and the above-mentioned fourth duration meet the corresponding first vehicle model condition (when the vehicle is a first power type vehicle and the second duration is not less than the seventh preset duration, the third duration is not less than the eighth preset duration) and the second vehicle model condition (when the vehicle is a second power type vehicle and the second duration is not less than the ninth preset duration, if the third duration is not less than the tenth preset duration).

[0244] Fifth, when the vehicle is in a power-off state, the above-mentioned second duration and power-on condition both meet the corresponding conditions, that is, when the vehicle is a first power type vehicle and the second duration is not less than the seventh preset duration, or when the vehicle is a second power type vehicle and the second duration is not less than the tenth preset duration, if the vehicle changes from a power-off state to a power-on state and the fourth duration in the power-on state is not less than the eleventh preset duration.

[0245] In some embodiments, step 022 includes:

[0246] 0220: Determine the state of the vehicle battery based on the target parameters within a first preset time period after the monitoring start time, wherein the first preset time period includes the duration of the vehicle battery changing from an uncharged state to a charged state.

[0247] The processing unit of the embodiment of the present application is also used to determine the state of the vehicle battery based on the target parameters within a first preset time period after the monitoring start time, wherein the first preset time period includes the duration of the vehicle battery changing from an uncharged state to a charged state.

[0248] The processor of the embodiment of the present application is also used to determine the state of the vehicle battery based on the target parameters within a first preset time period after the monitoring start time, wherein the first preset time period includes the duration of the vehicle battery changing from an uncharged state to a charged state.

[0249] That is, the electronic device according to the embodiment of the present application determines whether the low-voltage battery is in an abnormal state based on the target parameter in a period from the monitoring start time to another time.

[0250] Specifically, the electronic device of the embodiment of the present application will monitor the target parameters after the time and before the time when the charging state changes to determine whether the low-voltage battery is in an abnormal state.

[0251] Exemplarily, if the monitoring start time is 8 o'clock and the low-voltage battery starts charging at 9 o'clock, the electronic device will determine whether the low-voltage battery is in an abnormal state based on the target parameters from 8 o'clock to 9 o'clock.

[0252] It can be understood that in some embodiments, the monitoring start time is the time when the vehicle changes from a power-on state to a power-off state. Therefore, during the period when the vehicle is in a power-off state but not charged, if there is an abnormal value in the target parameter of the low-voltage battery, it indicates that the low-voltage battery is in an abnormal state.

[0253] It can also be understood that the target parameter may also include a charging parameter “used to characterize whether the low-voltage battery is in a charging state”.

[0254] In certain embodiments, the power battery sends high-voltage direct current to a power converter, which converts the high-voltage direct current into low-voltage direct current, and inputs the low-voltage direct current into a low-voltage battery to charge the low-voltage battery.

[0255] In this way, the electronic device of the embodiment of the present application can effectively determine whether the vehicle battery is abnormal based on the target parameters before the charging state of the vehicle battery changes after the monitoring start time.

[0256] In certain embodiments, see Fig. 9 , step 0220, comprising:

[0257] 02200: Determine a second accumulated time duration during which the power battery current in the target parameter is lower than the preset current value within the first preset time period;

[0258] 02201: If the ratio of the second accumulated duration to the duration of the first preset time period is less than the preset ratio, the duration of the first preset time period is less than the twelfth preset time period, and the vehicle is in a predetermined working state during the first preset time period, it is determined that the vehicle battery is in an abnormal state.

[0259] The processing unit of the embodiment of the present application is also used to determine a second cumulative duration during which the power battery current in the target parameter is lower than a preset current value within a first preset time period; if the ratio of the second cumulative duration to the duration of the first preset time period is less than a preset ratio, the duration of the first preset time period is less than a twelfth preset duration, and the vehicle is in a predetermined working state during the first preset time period, it is determined that the vehicle battery is in an abnormal state.

[0260] The processor of the embodiment of the present application is also used to determine a second cumulative duration during which the power battery current in the target parameter is lower than a preset current value within a first preset time period; if the ratio of the second cumulative duration to the duration of the first preset time period is less than a preset ratio, the duration of the first preset time period is less than a twelfth preset duration, and the vehicle is in a predetermined working state during the first preset time period, it is determined that the vehicle battery is in an abnormal state.

[0261] That is, the implementation mode of the present application will determine whether the low-voltage battery is in an abnormal state based on the current size of the power battery current in the vehicle.

[0262] Specifically, the electronic device of the embodiment of the present application will determine whether the ratio of the second accumulated time to the duration of the first preset time period is less than the preset ratio after the power battery current is lower than the preset current value, that is, the second accumulated time, and determine whether the duration of the first preset time period is less than the twelfth preset time period, and determine that the vehicle is in a predetermined working state within the first preset time period. If these three conditions are met, the low-voltage battery is deemed to be in an abnormal state.

[0263] In some embodiments, the calculation formula of the ratio P of the second accumulated duration to the duration of the first preset period is as follows, that is:

[0264] P=t1 / t2

[0265] Wherein, t1 represents the second accumulated duration, and t2 represents the first preset time period.

[0266] In some embodiments, the preset ratio is 90%. In other embodiments, the preset ratio ranges from [85%, 95%].

[0267] In some embodiments, the twelfth preset time length is 1.5 hours. In other embodiments, the twelfth preset time length has a value interval of [0.5h, 2.5h].

[0268] In some embodiments, the predetermined working state refers to a dormant state, that is, most devices in the vehicle are not in a working state, or in other words, most devices are connected to a low-voltage current.

[0269] In certain embodiments, the vehicle obtains the power battery current through a battery manager of the power battery.

[0270] In certain embodiments, see Fig.10 , step 0220 includes:

[0271] 02202: Determine, according to the battery data received in the first preset time period, a first time interval between two adjacent frames of battery data and a first total number of frames of battery data received in the first preset time period;

[0272] 02203: Determine a state of a vehicle battery according to a first time interval, a first total number of frames and an operating state of the vehicle.

[0273] The processing unit of the embodiment of the present application is also used to determine a first time interval between two adjacent frames of battery data and a first total number of frames of battery data received within the first preset time period based on the battery data received within the first preset time period; and determine the status of the vehicle battery based on the first time interval, the first total number of frames and the operating status of the vehicle.

[0274] The processor of the embodiment of the present application is also used to determine a first time interval between two adjacent frames of battery data and a first total number of frames of battery data received within the first preset time period based on the battery data received within the first preset time period; and determine the status of the vehicle battery based on the first time interval, the first total number of frames and the operating status of the vehicle.

[0275] That is, the electronic device of the implementation mode of the present application will also determine whether the low-voltage battery is in an abnormal state based on the number of data messages / data frames received and the receiving time interval within the first preset time period, and the working status of the vehicle.

[0276] It can be understood that the vehicle according to the embodiment of the present application is also used to send a data frame carrying battery data to the electronic device at every preset time interval.

[0277] It can also be understood that the electronic device of the embodiment of the present application is also used to record the acquisition / reception time of the battery data each time after receiving the battery data, and then determine the first time interval between any two adjacent frames of battery data based on the acquisition / reception time of each battery data. In addition, the electronic device will also count the number of frames of battery data received in the first preset time period, that is, the first total number of frames.

[0278] In some embodiments, the vehicle will send a data frame to the electronic device at every preset time interval; after receiving the data frame, the electronic device will parse the data frame to obtain the battery data carried by the data frame.

[0279] In this way, the implementation manner of the present application is based on the first total number of frames and the first time interval between two adjacent frames of battery data, so that the status detection of the vehicle battery is not completely dependent on the operating parameters of the vehicle battery, so that the status detection can be completed based on information in multiple dimensions, and thus it can more accurately determine whether the vehicle battery is in an abnormal state.

[0280] In some embodiments, step 02203 includes:

[0281] 022030: If the first time interval is not greater than the first preset time interval, the first total number of frames is not greater than the first preset number of frames, the duration of the first preset time period is less than the thirteenth preset time period, and the vehicle is in a predetermined working state during the first preset time period, then it is determined that the vehicle battery is in an abnormal state.

[0282] The processing unit of the embodiment of the present application is also used to determine that the vehicle battery is in an abnormal state if the first time interval is not greater than the first preset time interval, the first total number of frames is not greater than the first preset number of frames, the duration of the first preset time period is less than the thirteenth preset time period, and the vehicle is in a predetermined working state during the first preset time period.

[0283] The processor of the embodiment of the present application is also used to determine that the vehicle battery is in an abnormal state if the first time interval is not greater than the first preset time interval, the first total number of frames is not greater than the first preset number of frames, the duration of the first preset time period is less than the thirteenth preset time period, and the vehicle is in a predetermined working state during the first preset time period.

[0284] That is, the electronic device of the implementation mode of the present application sets the time interval between two adjacent frames of battery data (i.e., the first time interval) to be less than the first preset time interval, the number of all data frames received within the first preset time period (the first total number of frames) is not greater than the first preset number of frames, the duration of the first preset time period is less than the thirteenth preset duration, and the vehicle within the first preset time period is always in a predetermined working state. When the above four conditions are met, it is determined that the low-voltage battery is in an abnormal state.

[0285] In some embodiments, the first preset time interval is 30 seconds; in other embodiments, the value interval of the first preset time interval is [30s, 40s], where s represents seconds.

[0286] In some implementations, the first preset number of frames is 30. In other implementations, the first preset number of frames has a value interval of [25, 35].

[0287] In some embodiments, the thirteenth preset time length is 24 hours. In other embodiments, the thirteenth preset time length has a value interval of [20 hours, 24 hours].

[0288] In some embodiments, step 02202 further includes:

[0289] 022021: If the first time interval is greater than the second preset time interval, there are low voltage values ​​in at least two adjacent frames of battery data that are greater than the first preset low voltage threshold and the time interval between at least two adjacent frames of battery data is greater than the third preset time interval, the first total number of frames is greater than the second preset number of frames, and the vehicle is in a predetermined working state within the first preset time period, then it is determined that the vehicle battery is in an abnormal state, wherein the third preset time interval is greater than the second preset time interval.

[0290] The processing unit of the embodiment of the present application is also used to determine that the vehicle battery is in an abnormal state if the first time interval is greater than the second preset time interval, there are low voltage values ​​in at least two adjacent frames of battery data that are greater than the first preset low voltage threshold and the time interval between at least two adjacent frames of battery data is greater than the third preset time interval, the first total number of frames is greater than the second preset number of frames, and the vehicle is in a predetermined working state within the first preset time period, wherein the third preset time interval is greater than the second preset time interval.

[0291] The processor of the embodiment of the present application is also used to determine that the vehicle battery is in an abnormal state if the first time interval is greater than the second preset time interval, there are low voltage values ​​in at least two adjacent frames of battery data that are greater than the first preset low voltage threshold and the time interval between at least two adjacent frames of battery data is greater than the third preset time interval, the first total number of frames is greater than the second preset number of frames, and the vehicle is in a predetermined working state within the first preset time period, wherein the third preset time interval is greater than the second preset time interval.

[0292] That is, the target parameter in the embodiment of the present application also includes the low voltage value of the low voltage battery. Therefore, the embodiment of the present application will also determine the state of the low voltage battery based on the low voltage value.

[0293] Specifically, when the first time interval is greater than the second preset time interval, the low voltage value in at least two adjacent frames of battery data is greater than the first preset low voltage threshold and the time interval between at least two adjacent frames of battery data is greater than the third preset time interval, the first total number of frames is greater than the second preset number of frames, and the vehicle is in a predetermined working state within the first preset time period, when the above four conditions are met, the electronic device determines that the low-voltage battery is in an abnormal state.

[0294] In some embodiments, the second preset time interval is the same as the first preset time interval, which is 30 seconds. In other embodiments, the second preset time interval has a value interval of [30s, 40s].

[0295] In some implementations, the second preset number of frames is the same as the first preset number of frames, which is 30 frames. In other implementations, the second preset number of frames has a value interval of [25, 35].

[0296] In some embodiments, the first preset low voltage threshold is 1 / 15. In other embodiments, the first preset low voltage threshold is in a value interval of [0.06, 0.07].

[0297] In some embodiments, the third preset time interval is 10 minutes. In other embodiments, the third preset time interval has a value interval of [5 min, 15 min].

[0298] In some embodiments, the predetermined operating state refers to a sleep state.

[0299] For example, when the electronic device receives a total of 40 frames of battery data within the first preset time period, if the low voltage value in the battery data of the 27th frame is 0.07, and the low voltage value in the battery data of the 28th frame is also 0.07, and the receiving time of the 27th frame is 8:10, and the receiving time of the 28th frame is 8:30, then the first time interval is greater than the second preset time interval, the first total number of frames is greater than the second preset number of frames, and the vehicle is in a predetermined working state within the first preset time period. Therefore, it is determined that the low-voltage battery is in an abnormal state.

[0300] In some embodiments, step 022 further includes:

[0301] 0221: Determine the state of the vehicle battery based on the target parameters within a second preset time period after the monitoring start time, wherein the second preset time period includes the duration of time for the vehicle's power battery to change from an uncharged state to a charged state.

[0302] The processing unit of the embodiment of the present application is also used to determine the state of the vehicle battery based on the target parameters within a second preset time period after the monitoring start time, wherein the second preset time period includes the duration for the vehicle's power battery to change from an uncharged state to a charged state.

[0303] The processor of the embodiment of the present application is also used to determine the state of the vehicle battery based on the target parameters within a second preset time period after the monitoring start time, wherein the second preset time period includes the duration for the vehicle's power battery to change from an uncharged state to a charged state.

[0304] That is, the electronic device of the implementation mode of the present application determines that there is a correlation between the charging state of the power battery and the state of the low-voltage battery based on the analysis of abnormal battery data. Therefore, the implementation mode of the present application completes the state detection of the low-voltage battery based on the target parameters in the period after the monitoring start time and before the charging state of the power battery changes.

[0305] In some embodiments, when the vehicle detects that a plug is inserted to charge the power battery, corresponding battery data will be sent to the electronic device, or in other words, the battery data also includes data "used to characterize whether the power battery is charged based on the plug", so that the electronic device can determine whether the power battery of the vehicle is in a charging state.

[0306] In this way, the embodiment of the present application makes the status detection of the vehicle battery more accurate based on the target parameters in the period before the charging status of the power battery changes.

[0307] In certain embodiments, see Fig.11 , step 0221 includes:

[0308] 02210: determining, according to the battery data received in the second preset time period, a second time interval between two adjacent frames of battery data and a second total number of frames of battery data received in the second preset time period;

[0309] 02211: If the second time interval is higher than the fourth preset time interval, there are low voltage values ​​in at least two adjacent frames of battery data that are greater than the preset low voltage threshold and the time interval between at least two adjacent frames of battery data is greater than the fifth preset time interval, the second total number of frames is greater than the third preset number of frames, and the vehicle is in a predetermined working state within the second preset time period, then it is determined that the vehicle battery is in an abnormal state, wherein the fifth preset time interval is greater than the fourth preset time interval.

[0310] The processing unit of the embodiment of the present application is also used to determine a second time interval between two adjacent frames of battery data and a second total number of frames of battery data received within the second preset time period based on the battery data received within the second preset time period; if the second time interval is higher than the fourth preset time interval, there are low-voltage values ​​in at least two adjacent frames of battery data that are greater than the preset low-voltage threshold and the time interval between at least two adjacent frames of battery data is greater than the fifth preset time interval, the second total number of frames is greater than the third preset number of frames, and the vehicle is in a predetermined working state within the second preset time period, then it is determined that the vehicle battery is in an abnormal state, wherein the fifth preset time interval is greater than the fourth preset time interval.

[0311] The processor of the embodiment of the present application is also used to determine a second time interval between two adjacent frames of battery data and a second total number of frames of battery data received within the second preset time period based on the battery data received within the second preset time period; if the second time interval is higher than the fourth preset time interval, there are low voltage values ​​in at least two adjacent frames of battery data that are greater than the preset low voltage threshold and the time interval between at least two adjacent frames of battery data is greater than the fifth preset time interval, the second total number of frames is greater than the third preset number of frames, and the vehicle is in a predetermined working state within the second preset time period, then it is determined that the vehicle battery is in an abnormal state, wherein the fifth preset time interval is greater than the fourth preset time interval.

[0312] That is, the implementation mode of the present application also determines whether the low-voltage battery is in an abnormal state based on the time interval (second time interval) of adjacent frames of battery data during the second preset period, the second total number of frames of battery data received during the second preset period, and the low-voltage voltage value of each frame.

[0313] Specifically, when the second time interval is higher than the fourth preset time interval, there are low-voltage values ​​in at least two adjacent frames of battery data that are greater than the preset low-voltage threshold and the time interval between at least two adjacent frames of battery data is greater than the fifth preset time interval, the second total number of frames is greater than the third preset number of frames, and the vehicle is in a predetermined working state within the second preset time period, when these four conditions are met, the electronic device will determine that the low-voltage battery is in an abnormal state.

[0314] In some implementations, the fourth preset time interval is the same as the second preset time interval, which is 30 seconds.

[0315] In some embodiments, the preset low voltage threshold is 1 / 15.

[0316] In some embodiments, the fifth preset time interval is the same as the third preset time interval, which is 10 minutes.

[0317] In some embodiments, the predetermined operating state refers to a sleep state.

[0318] In some embodiments, step 022 further includes:

[0319] 0222: Determine the state of the vehicle battery according to the target parameters within a third preset time period after the monitoring start time, wherein the third preset time period includes the duration of the vehicle changing from a power-off state to a power-on state.

[0320] That is, the implementation mode of the present application is based on the analysis of the abnormal battery status and the target parameters after the monitoring start time and before the moment when the vehicle changes from the power-off state to the power-on state, that is, the target parameters within the third preset time period, to determine whether the low-voltage battery is in an abnormal state.

[0321] In this way, the embodiments of the present application enable the electronic device to perform vehicle battery status detection based on target parameters in a period before the vehicle changes from a power-off state to a power-on state, thereby further improving the credibility of the status detection result.

[0322] In certain embodiments, see Fig.12 , step 0222 includes:

[0323] 02220: determining, according to the battery data received in the third preset time period, a third time interval between two adjacent frames of battery data and a third total number of frames of battery data received in the third preset time period;

[0324] 02221: The third time interval is higher than the sixth preset time interval, there are at least two adjacent frames of battery data with low voltage values ​​greater than the preset low voltage threshold and the time interval between at least two adjacent frames of battery data is greater than the seventh preset time interval, the third total number of frames is greater than the fourth preset number of frames, and the vehicle is in a predetermined working state within the third preset time period, then it is determined that the vehicle battery is in an abnormal state, wherein the seventh preset time interval is greater than the sixth preset time interval.

[0325] The processing unit of the embodiment of the present application is also used to determine a third time interval between two adjacent frames of battery data and a third total number of frames of battery data received within the third preset time period based on the battery data received within the third preset time period; the third time interval is higher than the sixth preset time interval, there are at least two adjacent frames of battery data with a low voltage value greater than the preset low voltage threshold and the time interval between at least two adjacent frames of battery data is greater than the seventh preset time interval, the third total number of frames is greater than the fourth preset number of frames, and the vehicle is in a predetermined working state within the third preset time period, then it is determined that the vehicle battery is in an abnormal state, wherein the seventh preset time interval is greater than the sixth preset time interval.

[0326] The processor of the embodiment of the present application is also used to determine a third time interval between two adjacent frames of battery data and a third total number of frames of battery data received within the third preset time period based on the battery data received within the third preset time period; the third time interval is higher than the sixth preset time interval, there are low voltage values ​​in at least two adjacent frames of battery data that are greater than the preset low voltage threshold and the time interval between at least two adjacent frames of battery data is greater than the seventh preset time interval, the third total number of frames is greater than the fourth preset number of frames, and the vehicle is in a predetermined working state within the third preset time period, then it is determined that the vehicle battery is in an abnormal state, wherein the seventh preset time interval is greater than the sixth preset time interval.

[0327] That is, similar to the aforementioned steps 02210 and 02211, the electronic device of the embodiment of the present application will determine whether the low-voltage battery is in an abnormal state based on the time interval (third time interval) of adjacent frames of battery data within the third preset time period, the third total number of frames of battery data received within the second preset time period, and the low-voltage voltage value of each frame.

[0328] In some implementations, the sixth preset time interval is the same as the second preset time interval, which is 30 seconds.

[0329] In some embodiments, the preset low voltage threshold is 1 / 15.

[0330] In some embodiments, the seventh preset time interval is the same as the fifth preset time interval, which is 10 minutes.

[0331] In some embodiments, the predetermined operating state refers to a sleep state.

[0332] In certain embodiments, see Fig.13 , the electronic device of the embodiment of the present application will also determine whether the low-voltage battery is in an abnormal state based on the above five methods. Specifically, when the electronic device determines the first preset time period, the electronic device will determine whether any one of condition 1 (i.e., executing the above steps 02200 and 02201) and condition 2 (i.e., executing the above steps 02202 and 02203, or steps 02202 and 022030) is satisfied, thereby determining whether the low-voltage battery is abnormal; and when the electronic device determines the second preset time period, it will determine whether condition 3 (i.e., step 0221, or steps 02210 and 02211) is satisfied; and when the electronic device determines the third preset time period, it will determine whether condition 3 (i.e., step 0222, or steps 02220 and 02221) is satisfied.

[0333] In this way, the implementation mode of the present application enables the electronic device to complete the status detection of the low-voltage battery based on a variety of judgment logics, so the credibility of the detection result can be effectively guaranteed.

[0334] The present application also provides a computer-readable storage medium containing a computer program. When the computer program is executed by one or more processors, the one or more processors execute the vehicle battery status detection method of the present application.

[0335] In the description of this specification, the descriptions with reference to the terms "certain embodiments", "in an example", "exemplarily", etc., mean that the specific features, structures, materials or characteristics described in conjunction with the embodiments or examples are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.

[0336] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0337] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A vehicle battery status detection method, characterized in that: include: Receive battery data from the vehicle; The state of the vehicle battery is determined according to the target parameters in the battery data, wherein the target parameters are determined based on battery abnormal state data statistics, and the state of the vehicle battery includes a normal state and an abnormal state.

2. The method according to claim 1, characterized in that The method further comprises: If the battery data is not received within a first preset time period, it is determined that the vehicle battery is in an abnormal state.

3. The method according to claim 1, characterized in that The target parameters include the maximum single-cell voltage and the minimum single-cell voltage of the vehicle battery; The determining the state of the vehicle battery according to the target parameter in the battery data comprises: When the vehicle is in a powered-on state, the state of the vehicle battery is determined according to the highest single-cell voltage and the lowest single-cell voltage.

4. The method according to claim 3, characterized in that The battery data includes a plurality of groups, and when the vehicle is in a powered-on state, determining the state of the vehicle battery according to the highest single-cell voltage and the lowest single-cell voltage includes: When the vehicle is in a powered-on state, if within a second preset time period, the highest single-cell voltage and the lowest single-cell voltage in each group are both preset single-cell voltage values, it is determined that the vehicle battery is in an abnormal state.

5. The method according to claim 3, characterized in that: The step of determining the state of the vehicle battery according to the highest single-cell voltage and the lowest single-cell voltage when the vehicle is in a powered-on state includes: When the vehicle is in a powered-on state, the state of the vehicle battery is determined according to a voltage difference between the highest single-cell voltage and the lowest single-cell voltage.

6. The method according to claim 5, characterized in that The battery data includes a plurality of groups, and when the vehicle is in a powered-on state, determining the state of the vehicle battery according to the voltage difference between the highest single-cell voltage and the lowest single-cell voltage includes: When the vehicle is in a powered-on state, if within a third preset time period, the voltage difference between the highest single-cell voltage and the lowest single-cell voltage in each group is greater than a preset voltage difference, it is determined that the vehicle battery is in an abnormal state.

7. The method according to claim 1, characterized in that The determining the state of the vehicle battery according to the target parameter in the battery data comprises: Determining a monitoring start time according to a power converter parameter in the target parameter; The state of the vehicle battery is determined based on the target parameter after the monitoring start time.

8. The method according to claim 7, characterized in that When the vehicle changes from a powered-on state to a powered-off state and the first duration is not less than a fourth preset duration, the monitoring start time is determined based on the time when the vehicle changes to the powered-off state, and the first duration is determined based on the duration during which the power converter parameters meet the first preset condition when the vehicle is in the powered-on state.

9. The method according to claim 8, characterized in that The first preset duration is determined based on the duration during which the power converter is in a step-down state and the voltage on the low-voltage side of the DC power is not less than a preset voltage value when the vehicle is in the power-on state.

10. The method according to claim 7, characterized in that When the first cumulative duration is not less than the sixth preset duration, the monitoring start time is determined according to the time when the vehicle changes to the power-off state, and the first cumulative duration is determined based on the power converter parameters within the fifth preset time before the vehicle changes from the power-on state to the power-off state, and the cumulative time that meets the second preset condition.

11. The method according to claim 7, characterized in that When the second duration satisfies the fourth preset condition and the third duration satisfies the fifth preset condition, the monitoring start time is determined according to the time when the third duration satisfies the fifth preset condition, the second duration is determined according to the duration during which the power converter parameters satisfy the third preset condition, and the third duration is determined according to the duration during which the power converter parameters do not satisfy the third preset condition.

12. The method according to claim 11, characterized in that The target parameters also include the power type of the vehicle; when the vehicle is a first power type vehicle, the second duration is not less than the seventh preset duration, and the third duration is not less than the eighth preset duration, the monitoring start time is determined based on the time when the third duration is not less than the eighth preset duration.

13. The method according to claim 12, characterized in that When the vehicle is a second power type vehicle, the second duration is not less than a ninth preset duration, and the third duration is not less than a tenth preset duration, the monitoring start time is determined based on the time when the third duration is not less than the tenth preset duration.

14. The method according to claim 13, characterized in that When the vehicle is a first power type vehicle and the second duration is not less than the seventh preset duration, and the fourth duration is not less than the eleventh preset duration, or when the vehicle is a second power type vehicle and the second duration is not less than the tenth preset duration, and the fourth duration is not less than the eleventh preset duration, the monitoring start time is determined based on the time when the fourth duration is not less than the eleventh preset duration, and the fourth duration is determined based on the duration of the vehicle being in the powered-on state when the vehicle changes from a power-off state to a power-on state.

15. The method according to claim 7, characterized in that The determining the state of the vehicle battery according to the target parameter after the monitoring start time includes: The state of the vehicle battery is determined according to the target parameter within a first preset time period after the monitoring start time, wherein the first preset time period includes the duration of the vehicle battery changing from an uncharged state to a charged state.

16. The method according to claim 15, characterized in that The determining the state of the vehicle battery according to the target parameter within a first preset period after the monitoring start time includes: Determine a second accumulated time duration during which the power battery current in the target parameter is lower than a preset current value within the first preset time period; If the ratio of the second accumulated duration to the duration of the first preset time period is less than the preset ratio, the duration of the first preset time period is less than the twelfth preset time period, and the vehicle is in a predetermined working state during the first preset time period, it is determined that the vehicle battery is in an abnormal state.

17. The method according to claim 15, characterized in that The determining the state of the vehicle battery according to the target parameter within a first preset period after the monitoring start time includes: Determine, according to the battery data received in the first preset time period, a first time interval between two adjacent frames of the battery data and a first total number of frames of the battery data received in the first preset time period; The state of the vehicle battery is determined according to the first time interval, the first total number of frames and the working state of the vehicle.

18. The method according to claim 17, characterized in that Determining the state of the vehicle battery according to the first time interval, the first total number of frames and the working state of the vehicle includes: If the first time interval is not greater than a first preset time interval, the first total number of frames is not greater than a first preset number of frames, the duration of the first preset period is less than a thirteenth preset period, and the vehicle is in a predetermined working state during the first preset period, it is determined that the vehicle battery is in an abnormal state.

19. The method according to claim 17, characterized in that The determining the state of the vehicle battery according to the first time interval, the first total number of frames and the working state of the vehicle further includes: If the first time interval is greater than the second preset time interval, there are at least two adjacent frames of battery data with low voltage values ​​greater than the first preset low voltage threshold and the time interval between the at least two adjacent frames of battery data is greater than the third preset time interval, the first total number of frames is greater than the second preset number of frames, and the vehicle is in a predetermined working state during the first preset time period, then it is determined that the vehicle battery is in an abnormal state, wherein the third preset time interval is greater than the second preset time interval.

20. The method according to claim 15, characterized in that The determining the state of the vehicle battery according to the target parameter after the monitoring start time also includes: The state of the vehicle battery is determined according to the target parameter within a second preset time period after the monitoring start time, wherein the second preset time period includes the duration of time for the power battery of the vehicle to change from an uncharged state to a charged state.

21. The method according to claim 20, characterized in that The determining the state of the vehicle battery according to the target parameter within a second preset time period after the monitoring start time includes: Determine, according to the battery data received in the second preset time period, a second time interval between two adjacent frames of the battery data and a second total number of frames of the battery data received in the second preset time period; If the second time interval is higher than the fourth preset time interval, there are at least two adjacent frames of battery data with low voltage values ​​greater than the preset low voltage threshold and the time interval between the at least two adjacent frames of battery data is greater than the fifth preset time interval, the second total number of frames is greater than the third preset number of frames, and the vehicle is in a predetermined working state during the second preset time period, then it is determined that the vehicle battery is in an abnormal state, wherein the fifth preset time interval is greater than the fourth preset time interval.

22. The method according to claim 15, characterized in that The determining the state of the vehicle battery according to the target parameter after the monitoring start time also includes: The state of the vehicle battery is determined according to the target parameter within a third preset time period after the monitoring start time, wherein the third preset time period includes the duration of the vehicle changing from a power-off state to a power-on state.

23. The method according to claim 22, characterized in that The determining the state of the vehicle battery according to the target parameter within a third preset time period after the monitoring start time includes: Determine, according to the battery data received within the third preset time period, a third time interval between two adjacent frames of the battery data and a third total number of frames of the battery data received within the third preset time period; If the third time interval is higher than the sixth preset time interval, there are at least two adjacent frames of battery data in which the low voltage value is greater than the preset low voltage threshold and the time interval between the at least two adjacent frames of battery data is greater than the seventh preset time interval, the third total number of frames is greater than the fourth preset number of frames, and the vehicle is in a predetermined working state during the third preset time period, then it is determined that the vehicle battery is in an abnormal state, wherein the seventh preset time interval is greater than the sixth preset time interval.

24. A vehicle battery status detection device, characterized in that: include: A transceiver unit for receiving battery data of the vehicle; A processing unit is used to determine the state of the vehicle battery according to the target parameters in the battery data, wherein the target parameters are determined based on battery abnormal state data statistics, and the state of the vehicle battery includes a normal state and an abnormal state.

25. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the method according to any one of claims 1 to 23 is implemented.

26. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by one or more processors, the method according to any one of claims 1 to 23 is implemented.

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