A battery thermal management abnormality warning method, device, electronic equipment and medium

Abstract

The present invention discloses a battery thermal management anomaly warning method, device, electronic device, and medium. The method comprises: after the vehicle is started, obtaining the vehicle's status data at intervals of a collection cycle; marking the vehicle's battery temperature based on the status data during each collection cycle, and obtaining a temperature tag set, wherein the temperature tag set includes battery temperature tags corresponding to multiple collection cycles, and the battery temperature tags include overtemperature tags and non-overtemperature tags; based on the temperature tag set, determining whether the vehicle battery has a thermal management anomaly; if the vehicle battery has a thermal management anomaly, issuing a thermal management anomaly warning. By monitoring the vehicle's status data in real time, the risk of battery thermal runaway can be promptly discovered, and remote monitoring and warning can be performed, thereby effectively preventing safety accidents caused by vehicle battery thermal runaway.

Description

Technical Field

[0001] The present invention relates to the field of new energy vehicle control technology, and in particular to a battery thermal management abnormality early warning method, device, electronic equipment and medium. Background Art

[0002] With the rapid development of electric vehicle technology, battery thermal management has become a crucial technical approach to ensuring battery safety and improving performance. However, in practical applications, the risk of thermal runaway in electric vehicle batteries still exists due to factors such as internal voltage imbalance and excessive charging speeds. Battery thermal runaway not only affects the performance of electric vehicles but, in severe cases, can also cause safety incidents such as fires, posing a threat to human life and property. Therefore, developing an effective early warning method for thermal management anomalies in electric vehicle batteries is of great practical significance. Summary of the Invention

[0003] The embodiments of the present application provide a battery thermal management anomaly warning method, device, electronic device and medium. By collecting vehicle status data online in real time, a label set of the vehicle battery temperature is marked. Based on the label set, it can more accurately determine whether the battery has thermal management anomalies, thereby improving the reliability of vehicle warnings.

[0004] In a first aspect, the present invention provides the following technical solutions through an embodiment of the present invention:

[0005] A battery thermal management abnormality early warning method, comprising:

[0006] After the vehicle is started, the vehicle status data is obtained at intervals of an acquisition cycle; for each acquisition cycle, the battery temperature of the vehicle is marked based on the status data in the acquisition cycle to obtain a temperature label set, wherein the temperature label set includes battery temperature labels corresponding to multiple acquisition cycles, and the battery temperature labels include overtemperature labels and non-overtemperature labels; based on the temperature label set, it is determined whether the vehicle battery has a thermal management anomaly; if the vehicle battery has a thermal management anomaly, a thermal management anomaly warning is issued.

[0007] Preferably, the status data includes the maximum battery temperature and the vehicle speed, and the marking of the battery temperature of the vehicle based on the status data of the acquisition period includes: judging whether the maximum battery temperature obtained during the acquisition period is less than a preset maximum temperature threshold; if the maximum battery temperature is less than the maximum temperature threshold, determining the battery temperature label corresponding to the acquisition period as a non-overtemperature label; if the maximum battery temperature is greater than or equal to the maximum temperature threshold, judging whether the vehicle speed is greater than a preset operating speed; if the vehicle speed is greater than the preset operating speed, continuing to judge whether the maximum battery temperature within a first preset time period after the acquisition period is less than the maximum temperature threshold; if the maximum battery temperature within the first preset time period is less than the maximum temperature threshold, determining the battery temperature label corresponding to the acquisition period as a non-overtemperature label.

[0008] Preferably, the method further comprises: if the maximum temperature of the battery within the first preset time period is greater than or equal to the maximum temperature threshold, determining the battery temperature tag corresponding to the collection period as an over-temperature tag.

[0009] Preferably, marking the battery temperature of the vehicle based on the status data of the acquisition period further comprises: marking the battery temperature based on the status data of the acquisition period and the vehicle model data.

[0010] Preferably, the battery temperature is marked based on the status data of the acquisition cycle and the vehicle model data, including: if the maximum battery temperature is greater than or equal to the maximum temperature threshold, and the vehicle speed is greater than the preset operating speed, and the vehicle model data is the target model, then continue to determine whether the maximum battery temperature within a second preset time period after the acquisition cycle is less than the maximum temperature threshold; if the maximum battery temperature is less than the maximum temperature threshold, then continue to determine whether the maximum battery temperature within a third preset time period after the second preset time period is in an elevated state; if the maximum battery temperature is not in an elevated state, then determine the battery temperature label corresponding to the acquisition cycle as a non-overtemperature label; wherein, the third preset time period includes the maximum battery temperatures corresponding to multiple acquisition cycles.

[0011] Preferably, the status data includes the maximum battery temperature and current value, and the battery temperature of the vehicle is marked based on the status data of the acquisition period, including: if it is determined that the maximum battery temperature is greater than or equal to the maximum temperature threshold, then determining whether the current value is greater than a preset current value; if the current value is greater than or equal to the preset current value, then determining the battery temperature label corresponding to the acquisition period as a non-overtemperature label; if the current value is less than the preset current value, then determining the battery temperature label corresponding to the acquisition period as an overtemperature label.

[0012] Preferably, determining whether the vehicle has a thermal management anomaly based on the temperature tag set includes: determining whether there are multiple battery temperature tags corresponding to consecutive acquisition cycles in the temperature tag set that are all high temperature tags; if so, determining that the vehicle has a thermal management anomaly.

[0013] In a second aspect, the present invention provides the following technical solution through an embodiment of the present invention:

[0014] A battery thermal management abnormality early warning device, comprising:

[0015] An acquisition module is used to acquire the vehicle status data at intervals of a collection cycle after the vehicle is started;

[0016] a label acquisition module, configured to label the battery temperature of the vehicle based on the status data of each collection period to obtain a temperature label set, wherein the temperature label set includes battery temperature labels corresponding to multiple collection periods, and the battery temperature labels include an over-temperature label and a non-over-temperature label;

[0017] an abnormality determination module, configured to determine whether the vehicle battery has a thermal management abnormality based on the temperature tag set;

[0018] The early warning module is used to issue an early warning of thermal management anomaly if the vehicle battery has thermal management anomaly.

[0019] In a third aspect, the present invention provides the following technical solution through an embodiment of the present invention:

[0020] An electronic device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of any one of the methods described in the first aspect are implemented.

[0021] In a fourth aspect, the present invention provides the following technical solutions through an embodiment of the present invention:

[0022] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the method described in any one of the first aspects above.

[0023] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0024] The battery thermal management anomaly warning method provided by an embodiment of the present invention monitors the vehicle's status data in real time, and marks a set of labels for the vehicle's battery temperature based on the status data. Based on the label set, it can more accurately determine whether the battery is in an abnormal thermal management state, thereby improving the reliability of the vehicle warning. By combining real-time monitoring with highly accurate judgment, the risk of battery thermal runaway can be discovered in a timely manner while ensuring the accuracy of the warning, so that the method can quickly issue a thermal management anomaly warning signal, realize remote monitoring and warning, and effectively prevent safety accidents caused by thermal runaway of electric vehicle batteries. This method has the advantages of high warning accuracy, strong real-time performance, convenient remote monitoring and diagnosis, and high safety, and is of great significance for improving the safety and reliability of electric vehicle battery thermal management. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following is a brief introduction to the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0026] Figure 1 This is a structural diagram of a battery thermal management abnormality warning system according to an embodiment of the present invention;

[0027] Figure 2 Flowchart of a battery thermal management abnormality warning method according to an embodiment of the present invention;

[0028] Figure 3 Schematic diagram of the structure of a battery thermal management abnormality warning device in an embodiment of the present invention;

[0029] Figure 4 Schematic diagram of the structure of an electronic device in an embodiment of the present invention. DETAILED DESCRIPTION

[0030] The embodiments of the present application provide a battery thermal management anomaly warning method, device, electronic device and medium. By collecting vehicle status data online in real time, a label set of the vehicle battery temperature is marked. Based on the label set, it can more accurately determine whether the battery has thermal management anomalies, thereby improving the reliability of vehicle warnings.

[0031] The technical solution of the embodiment of the present application is to solve the above technical problems, and the overall idea is as follows:

[0032] A battery thermal management anomaly warning method includes: after a vehicle is started, obtaining vehicle status data at intervals of a collection cycle; marking the vehicle battery temperature based on the status data in each collection cycle for each collection cycle to obtain a temperature label set, wherein the temperature label set includes battery temperature labels corresponding to multiple collection cycles, and the battery temperature labels include overtemperature labels and non-overtemperature labels; based on the temperature label set, determining whether the vehicle battery has a thermal management anomaly; and if the vehicle battery has a thermal management anomaly, issuing a thermal management anomaly warning.

[0033] It should be noted that if Figure 1 As shown, the execution entity in this application can be a server 101, which is in communication with a vehicle 102 and is used to collect vehicle status data and send thermal management abnormality signals to the vehicle side so that the vehicle side displays relevant warning content. For example, the server is connected to a vehicle controller. Of course, as another optional embodiment, the execution entity can also be the vehicle controller.

[0034] In order to better understand the above technical solution, the above technical solution will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0035] In a first aspect, an embodiment of the present invention provides a battery thermal management abnormality warning method, specifically, as follows Figure 2 As shown, the method includes the following steps S101 to S104:

[0036] Step S101: After the vehicle is started, the vehicle status data is acquired at intervals of one acquisition cycle.

[0037] The following description of this application is based on the execution subject being a server. In the specific implementation process, obtaining vehicle status data may include: intercepting the vehicle status data when obtaining data from the cloud-based battery management system (BMS). Optionally, a collection cycle can be 10 seconds. In one application scenario, the server obtains the vehicle status data every 10 seconds, and obtains the status data corresponding to multiple collection cycles.

[0038] Optionally, the status data may include key information such as VIN (Vehicle Identification Number), timestamp, speed, current, maximum temperature, temperature list data, and vehicle model.

[0039] Furthermore, in order to ensure the accuracy of the acquired status data, after obtaining the plurality of status data, the process may further include: cleaning the status data to obtain cleaned status data.

[0040] In a specific embodiment, during the data processing process, the following steps can be performed to ensure the quality of the data: first, delete duplicate values, and identify and eliminate outliers; then, delete or fill in missing values. In order to obtain accurate and reliable data, when obtaining the temperature list data from the cloud, check the number of negative temperature coefficient thermistors NTC. If it is found that the number of NTCs in the temperature list data does not match the number of NTCs in the actual battery pack design, the following correction steps will be performed: If the number of NTCs exceeds the design value, only the number of NTCs that matches the actual design will be retained, and the temperature data collected by the redundant NTCs will be deleted; if the number of NTCs is less than the design value, the data of the entire time frame (i.e., the acquisition period) will be considered incomplete and deleted. Through the above-mentioned data cleaning and optimization measures, an accurate and reliable data foundation is provided for the subsequent process.

[0041] Step S102: For each collection cycle, the battery temperature of the vehicle is marked based on the status data in the collection cycle to obtain a temperature label set, wherein the temperature label set includes battery temperature labels corresponding to multiple collection cycles, and the battery temperature labels include an overtemperature label and a non-overtemperature label.

[0042] Among them, the battery temperature can be marked after obtaining the status data of the current collection cycle, or the status data obtained in multiple collection cycles can be collectively marked before determining whether the vehicle battery has thermal management abnormalities.

[0043] In order to accurately calculate the time interval between each moment and the data of the previous moment, and ensure the accuracy of the time interval of the acquisition cycle, before marking the battery temperature of the vehicle based on the status data under the acquisition cycle, it can also include: time difference processing of the acquisition cycle.

[0044] Specifically, the time difference processing is to compare the time point corresponding to the collection cycle with the time point corresponding to the previous collection cycle. If the difference between the two is not within the preset time period, so that the time points corresponding to adjacent collection cycles are discontinuous, the status data under the discontinuous collection cycle will be eliminated. Optionally, the preset time period can be a time period corresponding to a collection cycle.

[0045] For example, assuming a collection cycle is 10 seconds, the time value corresponding to the current collection cycle is 10 o'clock, and the time value corresponding to the previous collection cycle is 9 o'clock. If the difference between the two is not 10 seconds, the status data in the current collection cycle will be discarded.

[0046] Next, a marking strategy is used to mark the collected data to determine whether the vehicle battery has thermal management abnormalities.

[0047] In a specific embodiment, the status data may include the maximum battery temperature and the vehicle speed. Marking the battery temperature of the vehicle based on the status data of the acquisition period may include: determining whether the maximum battery temperature is less than the maximum temperature threshold; if it is less than the maximum temperature threshold, marking the battery temperature, and obtaining the temperature label under the current acquisition period as a non-overtemperature label; if it is greater than or equal to the maximum temperature threshold, determining whether the vehicle speed is greater than the preset operating speed; if the vehicle speed is greater than the preset operating speed, continuing to determine whether the maximum battery temperature within the first preset time period after the acquisition period is less than the maximum temperature threshold; if it is less than the maximum temperature threshold, marking the battery temperature, and obtaining the temperature label under the current acquisition period as a non-overtemperature label.

[0048] If the maximum temperature of the battery within the first preset time period is greater than or equal to the maximum temperature threshold, the battery temperature tag corresponding to the collection period is determined as an over-temperature tag.

[0049] The maximum temperature threshold can be set based on the cooling level of the thermal management system, allowing you to set a threshold for excessively high temperatures based on the actual needs of each project. Once the detected temperature exceeds this threshold, the system will determine that the temperature is too high. For example, the maximum temperature threshold is 50°C.

[0050] Optionally, the preset operating speed may be 60 km / h, and the first preset duration may be between 5 and 10 minutes. It should be noted that the preset operating speed is set based on the relationship between vehicle speed and battery heating. Tests have confirmed that the battery temperature rise rate is higher when the vehicle speed is above 60 km / h.

[0051] Specifically, if the maximum battery temperature is determined to be less than the threshold, the battery temperature label for the current collection cycle is determined to be a non-overtemperature label. If the maximum temperature is determined to be greater than or equal to the threshold, the vehicle speed is greater than 60 km / h, and the temperature drops below the threshold within 5 minutes, indicating that although the vehicle's current battery temperature is high, the battery temperature drop rate is sufficient to ensure stable battery operation. The battery temperature label for the current collection cycle is determined to be a non-overtemperature label. If the maximum temperature is determined to be greater than or equal to the threshold, the vehicle speed is greater than 60 km / h, and the temperature does not drop below the threshold within 5 minutes, indicating that the vehicle's current battery temperature is continuously high and the battery temperature drop rate is insufficient to ensure stable battery operation. The battery temperature label for the current collection cycle is determined to be an overtemperature label.

[0052] Furthermore, since the working capabilities of battery cooling systems of vehicles of different models vary, marking the battery temperature of the vehicle based on the status data of the collection period may also include marking the battery temperature based on the status data of the collection period and the vehicle model data.

[0053] In a specific embodiment, the battery temperature is marked based on the status data of the collection period and the vehicle model data, which may include: if the maximum battery temperature is greater than or equal to the maximum temperature threshold, the vehicle speed is greater than the preset operating speed, and the vehicle model data is the target model, then continue to determine whether the maximum battery temperature within the second preset time period after the collection period is less than the maximum temperature threshold; if the maximum battery temperature is less than the maximum temperature threshold, then continue to determine whether the maximum battery temperature within the third preset time period after the second preset time period is in an elevated state; if the maximum battery temperature is not in an elevated state, then determine the battery temperature label corresponding to the collection period as a non-high temperature label; wherein the third preset time period includes the maximum battery temperatures corresponding to multiple collection periods.

[0054] If the maximum battery temperature within the second preset time period is greater than the maximum temperature threshold, the battery temperature label corresponding to the collection period is determined as an overtemperature label; if the maximum battery temperature within the second preset time period is less than the maximum temperature threshold, and the maximum battery temperature within the third preset time period is in an elevated state, the battery temperature label corresponding to the collection period is determined as an overtemperature label.

[0055] The target vehicle type may be a plug-in hybrid electric vehicle (PHEV). Optionally, the second preset duration may be between 15 and 20 minutes, and the third preset duration may be between 5 and 10 minutes. For example, if the second preset duration is 20 minutes and the collection period is 10 seconds, then 120 collection periods will be generated; if the third preset duration is 5 minutes, then 30 collection periods will be generated. The preset operating speed may be 60 km / h.

[0056] For example, when the third preset time length is 5 minutes, a comparison is made to determine whether the maximum battery temperatures in the 30 acquisition cycles are in an increasing state.

[0057] Specifically, if it is determined that the maximum battery temperature is ≥ threshold, the vehicle speed is > 60 km / h and the vehicle type is PHEV, then it is determined whether the maximum battery temperature drops below the threshold within 20 minutes. If so, it is further determined whether the temperature continues to rise after 5 minutes. If it is not in a rising state, the battery temperature label under the current collection cycle is determined to be a non-overtemperature label.

[0058] If the battery maximum temperature is determined to be ≥ threshold, the vehicle speed is > 60 km / h, and the vehicle type is a PHEV, the system then determines whether the battery maximum temperature drops below the threshold within 20 minutes. If not, the battery temperature tag for the current collection cycle is determined to be "overtemperature." If so, the system then determines whether the temperature continues to rise within 5 minutes. If so, the battery temperature tag for the current collection cycle is determined to be "overtemperature." It should be noted that "rising temperature" can mean that the starting temperature value is less than the ending temperature value.

[0059] As another embodiment, the status data may include the maximum battery temperature and the current value. Marking the battery temperature of the vehicle based on the status data of the acquisition period may include: if it is determined that the maximum battery temperature is greater than or equal to the maximum temperature threshold, then determining whether the current value is greater than a preset current value; if the current value is greater than or equal to the preset current value, then determining the battery temperature label corresponding to the acquisition period as a non-overtemperature label; if the current value is less than the preset current value, then determining the battery temperature label corresponding to the acquisition period as an overtemperature label.

[0060] Optionally, the preset current value may be ±400A.

[0061] Specifically, if it is determined that the maximum battery temperature is ≥ threshold and the absolute value of the battery current is greater than or equal to |400|A, it indicates that the battery temperature is temporarily too high due to the excessive current value. In this case, the battery temperature label in the current collection cycle is determined to be a non-overtemperature label. If it is determined that the maximum battery temperature is ≥ threshold and the absolute value of the current value is less than |400|A, the battery temperature label in the current collection cycle is determined to be an overtemperature label.

[0062] Step S103, determining whether the vehicle battery has thermal management abnormality based on the temperature tag set;

[0063] Step S104: If the vehicle battery has a thermal management abnormality, a thermal management abnormality warning is issued.

[0064] In a specific embodiment, based on the temperature tag set, determining whether the vehicle has a thermal management anomaly includes: determining whether there are multiple battery temperature tags corresponding to consecutive collection cycles in the temperature tag set that are all high temperature tags; if so, determining that the vehicle has a thermal management anomaly.

[0065] By evaluating data tags, if multiple consecutive data points contain high temperature tags, the vehicle is determined to have a thermal management anomaly. This allows for more accurate identification of battery thermal anomalies and improves the reliability of vehicle warnings. Optionally, the multiple consecutive collection cycles can be six consecutive collection cycles, representing a collection of temperature tags within a minute.

[0066] Furthermore, to improve the accuracy of thermal management anomaly determinations, a thermal management anomaly can be determined based on the temperature tag set and vehicle speed. Specifically, if the overtemperature tag persists for more than one minute and the vehicle's speed during the last acquisition cycle is zero, a thermal management anomaly is determined. Furthermore, if the temperature remains overheated at zero speed, a problem with the battery cooling system is determined.

[0067] Furthermore, in order to propose effective improvement measures for different abnormal situations, the method also includes: if the battery temperature label in the current acquisition cycle is a high temperature label, determining whether the vehicle speed is greater than the preset safety speed; if it is greater than the preset safety speed, determining that the vehicle temperature is too high due to stimulation; if it is less than or equal to the preset safety speed, determining that the vehicle's cooling system is abnormal, and issuing a cooling system abnormality signal.

[0068] Optionally, the preset safety speed may be 145 km / h.

[0069] Specifically, if the vehicle's speed is greater than 145 km / h when the temperature is too high, it is assumed that the vehicle overheated due to customer-driven driving. If the vehicle's speed is less than or equal to 145 km / h when the temperature is too high, it is assumed that the overheating is caused by a problem with the vehicle's cooling system, and it is recommended to inspect and replace the vehicle's electronic pump and cooling system. The early warning method proposed in this application has been verified to have an accuracy rate of 98%.

[0070] Then, when it is determined that the vehicle battery has a thermal management anomaly, a thermal management anomaly warning is issued. For example, a warning signal can be sent to the vehicle display. The warning signal may include: battery temperature status, improvement measures, and the driver can check the battery status anytime and anywhere and receive the provided diagnostic suggestions.

[0071] In summary, the early warning method provided in this application can accurately assess the risk of battery thermal runaway and improve the accuracy of early warnings by real-time monitoring of battery parameters such as temperature, current, vehicle speed, and vehicle type, combined with cloud platform data processing and analysis technology. Using a cloud platform for real-time monitoring and early warning can promptly detect the risk of battery thermal runaway and immediately send early warning information to the driver, ensuring that the driver can take timely measures to avoid safety accidents, thus having the advantage of high practicality. With remote monitoring and diagnostic capabilities, drivers can check the battery status anytime and anywhere and receive diagnostic recommendations provided by the cloud platform. The cloud platform can also provide remote technical support to electric vehicle manufacturers, improving problem-solving efficiency. By real-time monitoring and early warning of battery thermal runaway risks, safety accidents caused by thermal runaway in electric vehicle batteries can be effectively prevented, protecting people's lives and property. Furthermore, it has the advantages of high early warning accuracy, strong real-time performance, convenient remote monitoring and diagnosis, and high safety, which is of great significance for improving the safety and reliability of electric vehicle battery thermal management.

[0072] In summary, the battery thermal management anomaly warning method provided by the embodiment of the present invention can ensure the accuracy of the warning while promptly discovering the risk of battery thermal runaway by combining real-time monitoring with high-accuracy judgment. This method allows the method to quickly issue a thermal management anomaly warning signal, realize remote monitoring and warning, and effectively prevent safety accidents caused by thermal runaway of electric vehicle batteries.

[0073] In the second aspect, based on the same inventive concept, this embodiment provides a battery thermal management abnormality warning device, such as Figure 3 As shown, including:

[0074] The acquisition module 401 is used to acquire the vehicle status data at intervals of a collection cycle after the vehicle is started;

[0075] a label acquisition module 402 for labeling the battery temperature of the vehicle based on the status data of each collection period to obtain a temperature label set, wherein the temperature label set includes battery temperature labels corresponding to multiple collection periods, and the battery temperature labels include an over-temperature label and a non-over-temperature label;

[0076] An abnormality determination module 403 is used to determine whether the vehicle battery has a thermal management abnormality based on the temperature tag set;

[0077] The early warning module 404 is configured to issue an early warning of thermal management anomaly if the vehicle battery has thermal management anomaly.

[0078] As an optional embodiment, the status data includes the maximum battery temperature and the vehicle speed. The label acquisition module 402 is specifically used to: determine whether the maximum battery temperature obtained during the collection period is less than a preset maximum temperature threshold; if the maximum battery temperature is less than the maximum temperature threshold, determine the battery temperature label corresponding to the collection period as a non-overtemperature label; if the maximum battery temperature is greater than or equal to the maximum temperature threshold, determine whether the vehicle speed is greater than the preset operating speed; if the vehicle speed is greater than the preset operating speed, continue to determine whether the maximum battery temperature within the first preset time period after the collection period is less than the maximum temperature threshold; if the maximum battery temperature within the first preset time period is less than the maximum temperature threshold, determine the battery temperature label corresponding to the collection period as a non-overtemperature label.

[0079] As an optional embodiment, the tag acquisition module 402 is specifically configured to: if the maximum battery temperature within the first preset time period is greater than or equal to a maximum temperature threshold, determine the battery temperature tag corresponding to the collection period as an overtemperature tag.

[0080] As an optional embodiment, the tag acquisition module 402 further includes:

[0081] The tag acquisition submodule is used to mark the battery temperature based on the status data of the acquisition cycle and the vehicle model data.

[0082] As an optional embodiment, the label acquisition submodule is specifically used to: if the maximum battery temperature is greater than or equal to the maximum temperature threshold, and the vehicle speed is greater than the preset operating speed, and the vehicle model data is the target model, then continue to determine whether the maximum battery temperature within the second preset time period after the collection cycle is less than the maximum temperature threshold; if the maximum battery temperature is less than the maximum temperature threshold, then continue to determine whether the maximum battery temperature within the third preset time period after the second preset time period is in an elevated state; if the maximum battery temperature is not in an elevated state, then determine the battery temperature label corresponding to the collection cycle as a non-overtemperature label; wherein the third preset time period includes the maximum battery temperatures corresponding to multiple collection cycles.

[0083] As an optional embodiment, the status data also includes the maximum battery temperature and current value. The label acquisition module 402 is specifically used to: if it is determined that the maximum battery temperature is greater than or equal to the maximum temperature threshold, then determine whether the current value is greater than a preset current value; if the current value is greater than or equal to the preset current value, then determine the battery temperature label corresponding to the acquisition period as a non-overtemperature label; if the current value is less than the preset current value, then determine the battery temperature label corresponding to the acquisition period as an overtemperature label.

[0084] As an optional embodiment, the abnormality determination module 403 is specifically used to determine whether there are multiple battery temperature labels corresponding to consecutive collection cycles in the temperature label set that are all high temperature labels; if so, determine that the vehicle has a thermal management abnormality.

[0085] The above modules can be implemented by software codes, in which case the above modules can be stored in the memory of the control device. The above modules can also be implemented by hardware such as integrated circuit chips.

[0086] The battery thermal management abnormality warning device provided in an embodiment of the present invention has the same implementation principle and technical effects as those of the aforementioned method embodiment. For the sake of brief description, for matters not mentioned in the device embodiment, reference can be made to the corresponding content in the aforementioned method embodiment.

[0087] In a third aspect, based on the same inventive concept, this embodiment provides an electronic device 500, such as Figure 4 As shown, it includes: a memory 501, a processor 502 and a computer program 503 stored in the memory and capable of running on the processor. When the processor 502 executes the program, the steps of the battery thermal management abnormality warning method described in the first aspect are implemented.

[0088] Since the electronic device described in this embodiment is the electronic device used to implement the battery thermal management abnormality warning method in the embodiment of this application, based on the battery thermal management abnormality warning method described in the embodiment of this application, those skilled in the art can understand the specific implementation of the electronic device of this embodiment and its various variations, so how the electronic device implements the method in the embodiment of this application will not be described in detail here. As long as those skilled in the art implement the electronic device used in the battery thermal management abnormality warning method in the embodiment of this application, it falls within the scope of protection to be provided by this application.

[0089] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0090] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A module that specifies functions in one or more boxes.

[0091] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction module, which is implemented in the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0092] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The steps for the function specified in one or more boxes.

[0093] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0094] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A battery thermal management abnormality early warning method, characterized in that: include: After the vehicle is started, the vehicle status data is obtained at every collection cycle; For each collection period, labeling the battery temperature of the vehicle based on the status data in the collection period to obtain a temperature label set, wherein the temperature label set includes battery temperature labels corresponding to multiple collection periods, and the battery temperature labels include an over-temperature label and a non-over-temperature label; determining, based on the temperature tag set, whether a thermal management anomaly exists in the vehicle battery; If the vehicle battery has thermal management abnormality, a thermal management abnormality warning is issued.

2. The method according to claim 1, wherein The status data includes a maximum battery temperature and a vehicle speed, and marking the battery temperature of the vehicle based on the status data of the acquisition period includes: Determining whether the maximum battery temperature obtained during the acquisition period is less than a preset maximum temperature threshold; If the maximum battery temperature is lower than the maximum temperature threshold, the battery temperature tag corresponding to the acquisition period is determined as a non-overtemperature tag; If the maximum battery temperature is greater than or equal to the maximum temperature threshold, determine whether the vehicle speed is greater than the preset operating speed. If the vehicle speed is greater than the preset operating speed, continue to determine whether the maximum battery temperature within the first preset time period after the collection cycle is less than the maximum temperature threshold. If the maximum battery temperature within the first preset time period is less than the maximum temperature threshold, determine the battery temperature label corresponding to the collection cycle as a non-overtemperature label.

3. The method according to claim 2, wherein Also includes: If the maximum temperature of the battery within the first preset time period is greater than or equal to the maximum temperature threshold, the battery temperature tag corresponding to the collection period is determined as an over-temperature tag.

4. The method according to claim 2, wherein The step of marking the battery temperature of the vehicle based on the state data of the acquisition period further includes: The battery temperature is marked based on the state data of the acquisition period and the vehicle model data.

5. The method according to claim 4, wherein The marking of the battery temperature based on the state data of the acquisition period and the vehicle model data includes: If the maximum battery temperature is greater than or equal to the maximum temperature threshold, the vehicle speed is greater than the preset operating speed, and the vehicle model data is the target model, then continue to determine whether the maximum battery temperature within a second preset time period after the collection cycle is less than the maximum temperature threshold; If the maximum battery temperature is less than the maximum temperature threshold, then determining whether the maximum battery temperature is in an elevated state within a third preset time period after the second preset time period; if the maximum battery temperature is not elevated, determining the battery temperature tag corresponding to the collection period as a non-high temperature tag; The third preset time period includes the maximum battery temperatures corresponding to multiple acquisition cycles.

6. The method according to claim 1, wherein The status data includes a maximum battery temperature and a current value. Marking the battery temperature of the vehicle based on the status data of the acquisition cycle includes: If it is determined that the maximum battery temperature is greater than or equal to the maximum temperature threshold, determining whether the current value is greater than a preset current value; If the current value is greater than or equal to the preset current value, determining the battery temperature tag corresponding to the acquisition period as a non-overtemperature tag; If the current value is less than the preset current value, the battery temperature tag corresponding to the acquisition period is determined as an over-temperature tag.

7. The method according to claim 1, wherein The determining, based on the temperature tag set, whether the vehicle has a thermal management anomaly includes: Determine whether there are multiple battery temperature labels corresponding to consecutive collection periods in the temperature label set, all of which are high temperature labels; If so, it is determined that the vehicle has thermal management abnormality.

8. A battery thermal management abnormality warning device, characterized in that: include: An acquisition module is used to acquire the vehicle status data at intervals of a collection cycle after the vehicle is started; a label acquisition module, configured to label the battery temperature of the vehicle based on the status data of each collection period to obtain a temperature label set, wherein the temperature label set includes battery temperature labels corresponding to multiple collection periods, and the battery temperature labels include an over-temperature label and a non-over-temperature label; an abnormality determination module, configured to determine whether the vehicle battery has a thermal management abnormality based on the temperature tag set; The early warning module is used to issue an early warning of thermal management anomaly if the vehicle battery has thermal management anomaly.

9. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the steps of the method according to any one of claims 1 to 7 are implemented when the processor executes the program.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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