Vehicle battery management method and device, vehicle and storage medium

Abstract

The embodiment of the invention discloses a vehicle battery management method and device, a vehicle and a storage medium, and the method comprises the steps: obtaining at least one historical abnormality judgment result of a battery in the vehicle, the historical abnormality judgment result being used for indicating whether historical battery state data of the battery meets a corresponding historical abnormality condition; under the condition that a first judgment result exists in the at least one historical abnormal judgment result, the target abnormal condition is adjusted, the adjusted abnormal condition is obtained, and the first judgment result indicates that the historical battery state data meet the corresponding historical abnormal condition; the target abnormal condition is one of at least one historical abnormal condition corresponding to the at least one historical abnormal judgment result, and the adjusted abnormal condition is used for performing abnormal judgment on the battery state data of the battery next time. Abnormal conditions required for next abnormality judgment can be adjusted according to historical abnormality judgment results, the flexibility and adaptability of battery management are improved, and the performance and safety of a vehicle battery are guaranteed.

Description

Technical Field

[0001] The embodiments of the present application relate to the technical field of vehicles, including but not limited to a vehicle battery management method and device, a vehicle, and a storage medium. Background Art

[0002] With the development of vehicle technology, monitoring and managing the batteries of new energy vehicles has become an important means to ensure vehicle performance, safety, and extend the battery service life. In related technologies, the abnormal monitoring of vehicle batteries usually relies on preset fixed rules. For example, by setting parameter thresholds such as voltage, current, and temperature to determine whether the battery state is abnormal, and outputting an alarm message when an abnormality is detected to remind the user to take corresponding measures.

[0003] However, when detecting whether the vehicle battery is in an abnormal condition by setting fixed parameter thresholds, it is impossible to dynamically adjust the monitoring rules according to the actual usage conditions of the battery, lacking applicability to variable usage scenarios, and it is difficult to effectively guide users to form good vehicle usage habits. Summary of the Invention

[0004] In view of this, the vehicle battery management method and device, vehicle, and storage medium provided by the embodiments of the present application can adjust the abnormal conditions required for the next abnormal judgment based on historical abnormal judgment results, improve the flexibility and adaptability of battery management, and ensure the performance and safety of vehicle batteries. The vehicle battery management method and device, vehicle, and storage medium provided by the embodiments of the present application are implemented as follows:

[0005] The first aspect of the present application provides a vehicle battery management method, including:

[0006] Obtain at least one historical abnormal judgment result of a battery in a vehicle, where each historical abnormal judgment result is used to indicate whether the historical battery state data of the battery conforms to the corresponding historical abnormal condition;

[0007] In the case where there is a first judgment result in the at least one historical abnormal judgment result, adjust a target abnormal condition to obtain an adjusted abnormal condition, where the first judgment result indicates that the historical battery state data conforms to the corresponding historical abnormal condition, the target abnormal condition is one of the at least one historical abnormal conditions corresponding to the at least one historical abnormal judgment result, and the adjusted abnormal condition is used for the next abnormal judgment of the battery state data of the battery.

[0008] By implementing the above technical solutions, at least one historical abnormal judgment result of the battery is first obtained. Then, when there is a first judgment result in the at least one historical abnormal judgment result indicating that the historical battery state data meets the corresponding historical abnormal condition, that is, when the battery has an abnormal state in the historical detection, the target abnormal condition is adjusted to obtain an adjusted abnormal condition for the next abnormal judgment. This can timely respond to the historical abnormal state of the battery, adjust the abnormal condition for abnormal judgment, improve the flexibility and adaptability of battery management, and ensure the performance and safety of the vehicle battery.

[0009] As an alternative implementation manner, in the first aspect of the embodiments of the present application, the abnormal condition includes an abnormal threshold corresponding to the battery state data of the battery. The adjusting the target abnormal condition to obtain an adjusted abnormal condition includes:

[0010] When the target abnormal condition is a preset initial abnormal condition, the abnormal threshold corresponding to the target abnormal condition is adjusted according to a preset first adjustment direction to obtain the adjusted abnormal condition, where the first adjustment direction is determined according to the type of the battery state data of the battery, the first adjustment direction includes increasing or decreasing, and the type includes voltage or temperature.

[0011] By implementing the above technical solutions, the first adjustment direction when the target abnormal condition is the initial abnormal condition is determined according to the type of the battery state data of the battery, ensuring the pertinence and reasonableness of the adjustment of the abnormal condition, so as to detect and respond to the abnormal condition of the battery in a timely and effective manner.

[0012] As an alternative implementation manner, in the first aspect of the embodiments of the present application, the adjusting the target abnormal condition to obtain an adjusted abnormal condition includes:

[0013] When the target abnormal condition is an adjusted abnormal condition and the last historical abnormal judgment result is the first judgment result, the abnormal threshold corresponding to the target abnormal condition is adjusted according to the first adjustment direction to obtain the adjusted abnormal condition, where the adjusted abnormal condition is obtained by adjusting the initial abnormal condition at least once;

[0014] When the target abnormal condition is the adjusted abnormal condition and the last historical abnormal judgment result is a second judgment result, the abnormal threshold corresponding to the target abnormal condition is adjusted according to a preset second adjustment direction to obtain the adjusted abnormal condition, where the second judgment result indicates that the historical battery state data does not meet the corresponding historical abnormal condition, and the second adjustment direction is opposite to the first adjustment direction.

[0015] By implementing the above technical solution, when the target abnormal condition is an adjusted abnormal condition, if an abnormality is detected in the last detection of the battery historical battery state data, the target abnormal condition is adjusted according to the first adjustment direction, so that the threshold corresponding to the adjusted abnormal condition is far from the threshold corresponding to the initial abnormal condition. On the contrary, if no abnormality is detected in the last detection of the battery historical battery state data, the target abnormal condition is adjusted according to the second adjustment direction opposite to the first adjustment direction, so that the threshold corresponding to the adjusted abnormal condition is close to the threshold corresponding to the initial abnormal condition. In this way, the strictness of the abnormal condition can be flexibly adjusted according to the actual use situation of the battery, and the flexibility and adaptability of battery monitoring and management can be improved.

[0016] As an alternative implementation manner, in the first aspect of the embodiments of the present application, the adjusting the target abnormal condition to obtain an adjusted abnormal condition includes:

[0017] When the target abnormal condition is a preset initial abnormal condition, the abnormal threshold corresponding to the target abnormal condition is adjusted according to a preset first adjustment amplitude to obtain the adjusted abnormal condition;

[0018] When the target abnormal condition is an adjusted abnormal condition, the abnormal threshold corresponding to the target abnormal condition is adjusted according to a preset second adjustment amplitude to obtain the adjusted abnormal condition, where the adjusted abnormal condition is obtained by adjusting the initial abnormal condition at least once, and the second adjustment amplitude is smaller than the first adjustment amplitude.

[0019] By implementing the above technical solution, a larger first adjustment amplitude is used for the first adjustment of the initial abnormal condition, which can quickly respond to the abnormal situation of the battery. In subsequent adjustments, a smaller second adjustment amplitude is used for fine adjustment, avoiding unstable alarms caused by too large adjustment amplitudes, and ensuring that the initial abnormal condition will be gradually restored only when the battery has no abnormalities for multiple times, realizing precise monitoring and management of the vehicle battery state.

[0020] As an alternative implementation manner, in the first aspect of the embodiments of the present application, the at least one historical abnormal judgment result is multiple historical abnormal judgment results, and when the target abnormal condition is an adjusted abnormal condition, the adjusting the abnormal threshold corresponding to the target abnormal condition according to a preset second adjustment amplitude includes:

[0021] In the case that there are at least two consecutive first judgment results or at least two consecutive second judgment results among the multiple historical anomaly judgment results, increase the second adjustment range to obtain a third adjustment range, and adjust the anomaly threshold corresponding to the target anomaly condition according to the third adjustment range, where the third adjustment range is smaller than the first adjustment range.

[0022] By implementing the above technical solution, it is possible to increase the second adjustment range for adjusting the target anomaly condition based on whether battery anomalies are continuously detected or battery normality is continuously detected among multiple historical anomaly judgment results. When the battery detection results show an obvious trend, quickly adjust the anomaly condition to enable users to promptly perceive the battery anomaly state and guide users to form good vehicle usage habits.

[0023] As an alternative implementation manner, in the first aspect of the embodiments of the present application, the initial anomaly condition is determined according to the scenario mode in which the vehicle is located, where the scenario mode includes a production mode, a transportation mode, a display vehicle mode, or a normal mode.

[0024] By implementing the above technical solution, it is ensured that the initial anomaly condition for judging the vehicle battery closely conforms to the actual usage scenario of the vehicle, improving the accuracy and adaptability of battery management and ensuring battery performance and vehicle safety.

[0025] As an alternative implementation manner, in the first aspect of the embodiments of the present application, the obtaining at least one historical anomaly judgment result of the battery in the vehicle includes:

[0026] Obtain the at least one historical anomaly judgment result according to the anomaly label corresponding to at least one historical battery state data of the battery, where the anomaly label is generated when the historical battery state data meets the corresponding historical anomaly condition.

[0027] By implementing the above technical solution, obtaining the historical anomaly judgment result according to the anomaly label corresponding to the historical state data of the battery improves the efficiency of data acquisition.

[0028] As an alternative implementation manner, in the first aspect of the embodiments of the present application, after adjusting the target anomaly condition to obtain the adjusted anomaly condition, the method further includes:

[0029] Obtain the current battery state data of the battery;

[0030] When the current battery state data meets the adjusted anomaly condition, output the alarm information corresponding to the adjusted anomaly condition.

[0031] By implementing the above technical solution, the current battery state data is detected according to the adjusted abnormal conditions. When the current battery state data meets the adjusted abnormal conditions, an alarm message corresponding to the adjusted abnormal conditions is output, so that the user can promptly detect the battery abnormality and enhance the user experience.

[0032] The second aspect of the present application provides a vehicle battery management device, including:

[0033] An acquisition module, configured to acquire at least one historical abnormal judgment result of the battery in the vehicle, where each historical abnormal judgment result is used to indicate whether the historical battery state data of the battery meets the corresponding historical abnormal conditions;

[0034] An adjustment module, configured to adjust the target abnormal condition to obtain an adjusted abnormal condition when there is a first judgment result in the at least one historical abnormal judgment result, where the first judgment result indicates that the historical battery state data meets the corresponding historical abnormal conditions, the target abnormal condition is one of the at least one historical abnormal conditions corresponding to the at least one historical abnormal judgment result, and the adjusted abnormal condition is used to perform an abnormal judgment on the battery state data of the battery next time.

[0035] The third aspect of the present application provides a vehicle, including a memory and a processor, where the memory stores a computer program that can run on the processor, and when the processor executes the program, the method described in the first aspect or the second aspect of the embodiments of the present application is implemented.

[0036] The fourth aspect of the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method described in the first aspect of the embodiments of the present application is implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The drawings here are incorporated into the specification and constitute a part of this specification. These drawings show embodiments that conform to the present application and are used together with the specification to explain the technical solutions of the present application.

[0038] Figure 1 It is a schematic diagram of an application scenario of the vehicle battery management method provided by the embodiment of the present application;

[0039] Figure 2 It is a schematic flowchart of the vehicle battery management method provided by the embodiment of the present application;

[0040] Figure 3 It is a schematic flowchart of the vehicle battery management method provided by the embodiment of the present application when the target abnormal condition is the initial abnormal condition;

[0041] Figure 4It is a schematic flow chart of a target abnormal condition which is an adjusted abnormal condition in the vehicle battery management method provided by the embodiments of the present application;

[0042] Figure 5 It is a schematic flow chart of performing abnormal judgment by applying the adjusted abnormal condition in the vehicle battery management method provided by the embodiments of the present application;

[0043] Figure 6 It is a schematic flow chart of determining an initial abnormal condition in the vehicle battery management method provided by the embodiments of the present application;

[0044] Figure 7 It is another schematic flow chart of the vehicle battery management method provided by the embodiments of the present application;

[0045] Figure 8 It is a schematic structural diagram of the vehicle battery management device provided by the embodiments of the present application;

[0046] Figure 9 It is a schematic structural diagram of the vehicle provided by the embodiments of the present application. Detailed implementation manners

[0047] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the following will further describe the specific technical solutions of the present application in detail with reference to the accompanying drawings in the embodiments of the present application. The following embodiments are used to illustrate the present application but are not intended to limit the scope of the present application.

[0048] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0049] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments. However, it can be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments, and can be combined with each other without conflict.

[0050] It should be noted that the terms "first / second / third" involved in the embodiments of the present application are used to distinguish similar or different objects, and do not represent a specific order for the objects. It can be understood that "first / second / third" can be interchanged with a specific order or sequence when permitted, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein.

[0051] In the field of vehicle technology, the battery of a new energy vehicle can be monitored and managed through the Battery Management System (BMS) of the new energy vehicle to ensure vehicle performance, safety, and extend the battery life.

[0052] In related technologies, the BMS of a vehicle usually adopts fixed thresholds, such as setting upper and lower limits for parameters such as voltage, current, and temperature to determine whether there is an abnormality, and triggering an alarm when an abnormality is detected. This way of using fixed thresholds has many problems. For example, it lacks adaptability. Under different operating conditions, such as the degree of battery aging, usage scenarios, and different states of the vehicle, using the same set of alarm rules may result in false alarms and missed alarms. Moreover, the vehicle always issues alarms based on the same thresholds and cannot dynamically adjust the monitoring rules according to the actual usage conditions of the battery, making it difficult to effectively guide users to form good vehicle usage habits.

[0053] In view of this, the embodiments of the present application provide a vehicle battery management method, device, vehicle, and storage medium. The vehicle battery management method can adjust the abnormal conditions required for the next abnormal judgment according to historical abnormal judgment results, improve the flexibility and adaptability of battery management, and ensure the performance and safety of the vehicle battery.

[0054] The following explains the actual scenario to which the vehicle battery management method provided in the embodiments of the present application is applied and the vehicle included in this scenario, so as to understand the vehicle battery management method provided by the present application.

[0055] Please refer to Figure 1 , Figure 1 which is a schematic diagram of an application scenario of the vehicle battery management method provided by the embodiments of the present application. As shown in Figure 1 , the application scenario includes a vehicle 10 and a charging device 20. The vehicle 10 includes a battery 11, and the battery 11 of the vehicle 10 can be charged through the charging device 20.

[0056] Among them, the vehicle 10 can be an automobile equipped with a battery 11 as shown in Figure 1 , or other devices powered by electric energy, such as but not limited to electric motorcycles, electric bicycles, electric scooters, electric flying cars, or electric trains, etc. The charging device 20 can be a charging pile with a charging gun as shown in Figure 1 , or other forms of charging devices, such as portable chargers, wireless charging devices, or solar charging systems, etc. The present application does not make any limitations here.

[0057] In some possible embodiments, the vehicle 10 further includes components such as a BMS module or a controller, which are responsible for performing battery management tasks. The vehicle battery management method of the present application can be applied to these components to implement the monitoring and management functions of the battery 11.

[0058] In a scenario where the vehicle 10 is charged as Figure 1 shown, to ensure the safety and performance of the battery 11, parameters such as a battery voltage threshold or a battery power threshold are usually set to limit the charging upper limit of the battery 11, so as to avoid possible performance damage or safety hazards caused by overcharging of the battery 11.

[0059] However, in the case of a failure of the vehicle 10 or the charging device 20, it may not be possible to control the charging situation of the battery 11 in a timely manner, resulting in overcharging. For example, when the charging device 20 fails, it may not be able to respond to the stop charging instruction sent by the vehicle 10 in a timely manner, resulting in the output of current and continued charging of the battery 11 even after the battery 11 has been charged to the preset battery or power. If the vehicle 10 uses a fixed threshold, it may always intervene in the warning after overcharging occurs, affecting the performance and service life of the battery 11. Therefore, through the method provided in this application, the abnormal conditions required for the next abnormal judgment can be adjusted according to the historical abnormal judgment results, improving the flexibility and adaptability of battery management, ensuring timely intervention in battery management, and enabling users to notice the abnormality, such as replacing a normal charging device, so as to guide users to form good vehicle usage habits.

[0060] It should be noted that the application scenario as Figure 1 shown is only an example. In addition to the scenario of detecting whether the battery 11 is overcharged, during the use of the vehicle 10, scenarios such as whether the battery 11 of the vehicle 10 is over-discharged and whether the temperature of the battery 11 is too high also need to be monitored and managed. The vehicle battery management method provided in this application can adjust the abnormal judgment conditions used in different scenarios to adapt to changing usage conditions, improving the accuracy and flexibility of battery management.

[0061] Next, the vehicle battery management method provided in this application will be introduced in conjunction with the accompanying drawings to better understand the implementation process of the vehicle battery management method.

[0062] Please refer to Figure 2 , Figure 2 which is a schematic flowchart of a vehicle battery management method provided by an embodiment of this application. As Figure 2 shown, the method may include the following steps:

[0063] S201, Obtain at least one historical abnormal judgment result of the battery in the vehicle.

[0064] In an embodiment of this application, each historical abnormal judgment result is used to indicate whether the historical battery state data of the battery conforms to the corresponding historical abnormal conditions.

[0065] Among them, at least one historical battery state data of the battery can be historical parameter values detected during the past operation of the battery, such as parameter values of battery voltage, battery current, or battery temperature. The type of historical battery state data can be determined according to the scenario for abnormal judgment of the battery. For example, in the scenario of detecting whether the vehicle battery is overcharged or over-discharged, the historical battery state data can include parameter values such as historical battery voltage or historical battery power, where the battery power can be calculated based on the rated voltage and the detected voltage of the battery. In the scenario of detecting whether the vehicle battery temperature is too high, the historical battery state data can include the historical battery temperature value. The type of historical battery state data can be determined according to the actual abnormal judgment scenario, which is not limited herein.

[0066] In the embodiments of the present application, the abnormal conditions correspond to the battery state data. Taking the scenario of detecting whether the vehicle battery is overcharged as an example, the historical battery state data can include parameter values such as historical battery voltage or historical battery power, and the corresponding historical abnormal conditions can include thresholds such as historical voltage thresholds or power thresholds. When the historical battery voltage is greater than the historical voltage threshold, or the historical battery power is greater than the historical power threshold, it is determined that the historical battery state data of the battery meets the corresponding historical abnormal conditions, that is, it is detected that the battery has an abnormality. At this time, preset measures can be taken for processing, such as outputting an alarm message to prompt the user or the vehicle manufacturer to pay attention, or restricting the charging behavior, etc., which is not limited herein.

[0067] It should be noted that when there are multiple historical abnormal judgment results for at least one historical abnormal judgment result, the historical abnormal conditions corresponding to each historical battery state data can be different. Exemplarily, some historical abnormal conditions may have been adjusted according to older historical data, so that the abnormal conditions used for each battery abnormal judgment can fit the actual usage situation of the battery, in order to achieve more accurate and timely abnormal detection, which helps to improve the reliability of battery management.

[0068] In some possible embodiments, after each abnormal judgment of the battery state data of the battery, at least one historical abnormal judgment result of the battery in the vehicle is obtained. In this way, it is possible to determine whether to adjust the used abnormal conditions after each abnormal judgment using the abnormal conditions, improving the accuracy and adaptability of the abnormal judgment.

[0069] S202, when there is a first judgment result in at least one historical abnormal judgment result, adjust the target abnormal condition to obtain an adjusted abnormal condition.

[0070] In the embodiment of the present application, the first judgment result indicates that the historical battery state data conforms to the corresponding historical abnormal condition. The target abnormal condition is one of at least one historical abnormal condition corresponding to at least one historical abnormal judgment result. The adjusted abnormal condition is used for the next abnormal judgment of the battery state data of the battery.

[0071] It should be noted that when there is a first judgment result among at least one historical abnormal judgment result, it can be understood that in the past battery state detection, there has been at least one detection result indicating that the battery state is abnormal. In this case, in order to better cope with the possible problems of the battery, the target abnormal condition can be adjusted to obtain the adjusted abnormal condition. When the battery state data of the battery is judged abnormally next time, the abnormal judgment will be carried out according to the adjusted abnormal condition that is more adaptable to the actual state of the battery, improving the accuracy and reliability of battery management.

[0072] In some possible embodiments, at least one historical abnormal judgment result is one historical abnormal judgment result, and the target abnormal condition is the historical abnormal condition corresponding to this historical abnormal judgment result.

[0073] Exemplarily, only one historical abnormal judgment result is stored in the vehicle. If this historical abnormal judgment result conforms to the corresponding historical abnormal condition, the used historical abnormal condition is adjusted to obtain the adjusted abnormal condition for the next abnormal judgment.

[0074] In some possible embodiments, at least one historical abnormal judgment result is multiple historical abnormal judgment results. The target abnormal condition can be the historical abnormal condition corresponding to the last or the first historical abnormal judgment result among the multiple historical abnormal judgment results. The target abnormal condition can also be the historical abnormal condition corresponding to the historical abnormal judgment result with the highest occurrence frequency among the multiple historical abnormal judgment results, which is not limited herein.

[0075] Exemplarily, the target abnormal condition is the historical abnormal condition corresponding to the last historical abnormal judgment result among the multiple historical abnormal judgment results. In this way, the adjustment can be made based on the historical abnormal condition used last time, ensuring the real-time performance and adaptability of battery management.

[0076] The vehicle battery management method provided by the embodiment of the present application first obtains at least one historical abnormal judgment result of the battery. Then, when there is a first judgment result among at least one historical abnormal judgment result, that is, when the battery is in an abnormal state in the historical detection, the target abnormal condition is adjusted to obtain the adjusted abnormal condition for the next abnormal judgment, which can respond to the historical abnormal state of the battery in a timely manner, adjust the abnormal condition for abnormal judgment, improve the flexibility and adaptability of battery management, and ensure the performance and safety of the vehicle battery.

[0077] The following will introduce the method of adjusting the target abnormal condition in the vehicle battery management method in combination with the accompanying drawings, so as to better understand the implementation process of the vehicle battery management method.

[0078] Please refer to Figure 3 , Figure 3 FIG. is a schematic flowchart of a vehicle battery management method provided by an embodiment of the present application, where the target abnormal condition is an initial abnormal condition. As Figure 3 shown, the method may include the following steps:

[0079] S301, obtaining at least one historical abnormal judgment result of the battery in the vehicle.

[0080] It should be noted that the implementation manner of step S301 refers to the content described in step S201 above, and will not be elaborated here.

[0081] S302, when there is a first judgment result in at least one historical abnormal judgment result and the target abnormal condition is a preset initial abnormal condition, adjusting the abnormal threshold corresponding to the target abnormal condition according to a preset first adjustment direction to obtain an adjusted abnormal condition.

[0082] In some possible embodiments, the abnormal condition includes an abnormal threshold corresponding to the battery state data of the battery. Adjusting the target abnormal condition to obtain an adjusted abnormal condition includes:

[0083] When the target abnormal condition is a preset initial abnormal condition, adjusting the abnormal threshold corresponding to the target abnormal condition according to a preset first adjustment direction to obtain an adjusted abnormal condition, where the first adjustment direction is determined according to the type of the battery state data of the battery, and the first adjustment direction includes increasing or decreasing, and the type includes voltage or temperature.

[0084] It should be noted that the preset initial abnormal condition is an abnormal condition that has not been adjusted. The initial abnormal condition can be used to perform abnormal judgment on the battery state data of the battery when no abnormality is detected in the vehicle battery or no abnormality is detected within a long detection period. Optionally, the preset initial abnormal condition can be set before the vehicle leaves the factory or updated and obtained through the manufacturer's server after the vehicle leaves the factory, and its value can be set according to the vehicle and battery models, which is not limited here.

[0085] In some possible embodiments, in addition to the abnormal threshold corresponding to the battery state data, the abnormal condition may further include an abnormal interval corresponding to the battery state data.

[0086] Exemplarily, when the target abnormal condition is a preset initial abnormal condition, the upper limit and the lower limit of the abnormal range corresponding to the target abnormal condition can be adjusted in a first adjustment direction. For example, increasing the upper limit and the lower limit of the range, or decreasing the upper limit and the lower limit of the range.

[0087] In some possible embodiments, the first adjustment direction can be determined according to the type of the battery state data of the battery, and the type includes voltage or temperature. Adjusting the initial abnormal condition in the first adjustment direction can change the strictness of the abnormal judgment on the subsequent battery state data, make the subsequent abnormal judgment more strict, ensure timely discovery of potential battery problems, and improve the safety and reliability of battery use.

[0088] Exemplarily, when the type of the battery state data is temperature, the abnormal condition can include a temperature threshold, so as to judge whether the battery has a high-temperature abnormality through the temperature threshold. At this time, according to the type of the battery state data, the first adjustment direction can be to decrease, so that the adjusted abnormal condition is less than the initial abnormal condition. In this way, in the subsequent abnormal judgment, the standard for the battery temperature to trigger the abnormal judgment is reduced, and potential high-temperature problems can be detected earlier, so that measures can be taken more timely to protect the battery from high-temperature damage.

[0089] In some possible embodiments, to improve the accuracy of adjusting the target abnormal threshold, the first adjustment direction can be determined according to the type of the battery state data of the battery and the scenario of the abnormal judgment. For example, it is determined according to a preset direction mapping relationship, the type of the battery state data, and the scenario of the abnormal judgment, where the preset direction mapping relationship includes the mapping relationship between a preset direction, a preset type, and a preset scenario.

[0090] Exemplarily, when the type of the battery state data is voltage, in the scenarios of detecting whether the battery is overcharged and detecting whether the battery is over-discharged, the abnormal judgment can be based on the battery voltage. For example, in the scenario of detecting battery overcharge, it can be determined that the battery is overcharged when the battery voltage is greater than the high-voltage threshold, and in the scenario of detecting battery over-discharge, it can be determined that the battery is over-discharged when the battery voltage is less than the low-voltage threshold.

[0091] Therefore, in order to accurately adjust the target abnormal condition, the first adjustment direction can be determined by combining the type of the battery state data and the scenario of the abnormal judgment. For example, when the type of the battery state data is voltage and the scenario is the scenario of detecting battery overcharge, the first adjustment direction is to decrease. And when the type of the battery state data is voltage and the scenario is the scenario of detecting battery over-discharge, the first adjustment direction is to increase. In this way, compared with the initial abnormal condition, the abnormal condition adjusted according to the first adjustment direction can more sensitively judge overcharge or over-discharge abnormalities, thereby improving the accuracy and safety of battery management.

[0092] In the above technical solution, the first adjustment direction when the target abnormal condition is the initial abnormal condition is determined according to the type of the battery state data of the battery, ensuring the pertinence and rationality of the adjustment of the abnormal condition, so as to detect and respond to the abnormal condition of the battery in a timely and effective manner.

[0093] Next, the method for adjusting the adjusted abnormal condition in the vehicle battery management method will be introduced in conjunction with the accompanying drawings, so as to better understand the implementation process of the vehicle battery management method.

[0094] Please refer to Figure 4 , Figure 4 which is a schematic flowchart of a vehicle battery management method provided by an embodiment of the present application, where the target abnormal condition is the adjusted abnormal condition. As Figure 4 shown, the method may include the following steps:

[0095] S401, obtaining at least one historical abnormal judgment result of the battery in the vehicle.

[0096] It should be noted that the implementation manner of step S401 refers to the content described in step S201 above and will not be elaborated here.

[0097] S402, when there is a first judgment result in at least one historical abnormal judgment result and the target abnormal condition is the adjusted abnormal condition, adjusting the abnormal threshold corresponding to the target abnormal condition according to the target adjustment direction to obtain an adjusted abnormal condition.

[0098] Among them, the adjusted abnormal condition is obtained by adjusting the initial abnormal condition at least once. When the target abnormal condition is the adjusted abnormal condition, it can be understood that the target abnormal condition has been adjusted according to the previous abnormal judgment results by the method provided in the present application. By further adjusting the adjusted abnormal condition, it can better adapt to the actual use situation of the battery. The target adjustment direction is determined according to the last historical abnormal judgment result. When the last historical abnormal judgment result is the first judgment result, the target adjustment direction is the first adjustment direction; when the last historical abnormal judgment result is the second judgment result, the target adjustment direction is the second adjustment direction opposite to the first adjustment direction, and the second judgment result indicates that the historical battery state data does not conform to the corresponding historical abnormal condition.

[0099] In some possible embodiments, adjusting the target abnormal condition to obtain an adjusted abnormal condition includes:

[0100] When the target abnormal condition is an adjusted abnormal condition and the last historical abnormal judgment result is the first judgment result, the abnormal threshold corresponding to the target abnormal condition is adjusted according to the first adjustment direction to obtain an adjusted abnormal condition, where the adjusted abnormal condition is obtained by adjusting the initial abnormal condition at least once;

[0101] When the target abnormal condition is an adjusted abnormal condition and the last historical abnormal judgment result is the second judgment result, the abnormal threshold corresponding to the target abnormal condition is adjusted according to a preset second adjustment direction to obtain an adjusted abnormal condition, where the second judgment result indicates that the historical battery state data does not conform to the corresponding historical abnormal condition, and the second adjustment direction is opposite to the first adjustment direction.

[0102] It should be noted that the last historical abnormal judgment result determines the adjustment direction of the target abnormal condition. If the last historical abnormal judgment result is the first judgment result, the first adjustment direction when adjusting the initial abnormal condition can be followed to continue adjusting the target abnormal condition, so that the abnormal threshold corresponding to the adjusted abnormal condition further deviates from the abnormal threshold corresponding to the initial abnormal condition, thereby improving the strictness of the abnormal judgment on the battery state data.

[0103] If the last historical abnormal judgment result is the second judgment result, that is, no abnormality is detected, the second adjustment direction opposite to the first adjustment direction can be adopted to adjust the target abnormal condition, so that the abnormal threshold corresponding to the adjusted abnormal condition approaches the abnormal threshold corresponding to the initial abnormal condition, thereby relaxing the strictness of the abnormal judgment on the battery state data. In this way, when no battery abnormality is detected, the abnormal condition can be appropriately adjusted to avoid detecting battery abnormalities too frequently, reduce unnecessary alarms, and improve the user experience.

[0104] In some possible embodiments, in the scenario of detecting over-discharge of the battery, the battery state data of the battery can be the battery voltage or the battery power, the abnormal threshold corresponding to the initial abnormal condition can be the voltage threshold or the power threshold of the battery, the first adjustment direction can be to decrease, and when the detected battery voltage is greater than the corresponding voltage threshold or the battery power is greater than the corresponding power threshold, it is determined that the battery state data conforms to the corresponding abnormal condition, that is, it is detected that the battery has an over-discharge abnormality.

[0105] Exemplarily, the battery state data is the battery voltage. The voltage threshold corresponding to the initial abnormal condition can be 3.5V. When the last historical abnormal judgment result is the first judgment result and the target abnormal condition is the adjusted abnormal condition, the voltage threshold corresponding to the target abnormal condition can be reduced according to the first adjustment direction to obtain the adjusted abnormal condition. For example, the voltage threshold corresponding to the target abnormal condition can be 3.2V, and the adjusted abnormal condition can be 3.1V. In this way, compared with the target abnormal condition before adjustment, when the battery state data of the battery is judged for abnormality next time, potential over-discharge problems can be detected in advance and measures can be taken in time to protect the battery. When the last historical abnormal judgment result is the second judgment result and the target abnormal condition is the adjusted abnormal condition, the voltage threshold corresponding to the target abnormal condition is increased according to the second adjustment direction to obtain the adjusted abnormal condition. For example, the voltage threshold corresponding to the target abnormal condition can be 3.2V, and the adjusted abnormal condition can be 3.3V. In this way, compared with the target abnormal condition before adjustment, when the battery state data of the battery is judged for abnormality next time, the detection standard for over-discharge is appropriately relaxed, avoiding overly frequent triggering of abnormal alarms, reducing unnecessary interference, and improving the user experience.

[0106] In some possible embodiments, adjusting the target abnormal condition to obtain the adjusted abnormal condition includes:

[0107] When the target abnormal condition is the preset initial abnormal condition, adjusting the abnormal threshold corresponding to the target abnormal condition according to the preset first adjustment amplitude to obtain the adjusted abnormal condition;

[0108] When the target abnormal condition is the adjusted abnormal condition, adjusting the abnormal threshold corresponding to the target abnormal condition according to the preset second adjustment amplitude to obtain the adjusted abnormal condition, where the adjusted abnormal condition is obtained by adjusting the initial abnormal condition at least once, and the second adjustment amplitude is smaller than the first adjustment amplitude.

[0109] It should be noted that by adopting different adjustment amplitudes, precise control of the abnormal conditions of the battery can be achieved. By using a larger first adjustment amplitude when adjusting the initial abnormal conditions, the abnormal situation of the battery can be quickly responded to, and the further deterioration of the abnormality can be prevented in time. When adjusting the adjusted abnormal conditions subsequently, a smaller second adjustment amplitude is used for fine adjustment to avoid unstable alarms caused by too large an adjustment amplitude. And by setting the second adjustment amplitude to be smaller than the first adjustment amplitude, it can also be ensured that after adjusting the initial abnormal conditions, only when multiple second judgment results are detected, that is, when the battery has no abnormality after multiple detections or the number of times of detecting no abnormality is more than the number of times of detecting abnormality, will it gradually return to the initial abnormal conditions, effectively guiding users to develop good vehicle usage habits and achieving precise monitoring and management of the vehicle battery status. Exemplarily, in the scenario of detecting over-discharge of the battery, the battery state data is the battery voltage, the first adjustment amplitude can be 0.25V, and the second adjustment amplitude can be 0.05V, so as to quickly respond when the abnormality is first detected and gradually fine-tune the abnormal conditions in subsequent detections.

[0110] In some possible embodiments, when the target abnormal condition is the adjusted abnormal condition, the target adjustment direction for the target abnormal condition can be determined according to the last historical abnormal judgment result, which will not be elaborated here.

[0111] Among them, the second adjustment amplitude can include an adjustment sub-amplitude corresponding to the first adjustment direction and an adjustment sub-amplitude corresponding to the second adjustment direction, that is, the adjustment sub-amplitudes in different adjustment directions can be different. The values or magnitude relationships of the adjustment sub-amplitude corresponding to the first adjustment direction and the adjustment sub-amplitude corresponding to the second adjustment direction can be set as needed, which is not limited here.

[0112] In some possible embodiments, at least one historical abnormal judgment result is multiple historical abnormal judgment results. When the target abnormal condition is the adjusted abnormal condition, adjusting the abnormal threshold corresponding to the target abnormal condition according to the preset second adjustment amplitude includes:

[0113] When there are at least two consecutive first judgment results or at least two consecutive second judgment results among the multiple historical abnormal judgment results, increase the second adjustment amplitude to obtain a third adjustment amplitude, and adjust the abnormal threshold corresponding to the target abnormal condition according to the third adjustment amplitude, where the third adjustment amplitude is smaller than the first adjustment amplitude.

[0114] It should be noted that when there are at least two consecutive first judgment results or at least two consecutive second judgment results among the multiple historical abnormal judgment results, it indicates that the battery state data shows an obvious abnormal or normal trend. At this time, increasing the second adjustment amplitude to obtain the third adjustment amplitude can more sensitively respond to the changes in the battery state.

[0115] Exemplarily, when consecutive anomalies occur, increasing the adjustment amplitude can accelerate the triggering of anomaly alarms and timely remind users to take measures; when consecutive normal results occur, increasing the adjustment amplitude helps to restore to the initial abnormal conditions more quickly, thereby reducing problems such as frequent alarms or unnecessary charging restrictions caused by overly conservative adjustment of abnormal conditions, so as to optimize the user experience.

[0116] In some possible embodiments, at least one historical anomaly judgment result is a plurality of historical anomaly judgment results. When the target abnormal condition is an adjusted abnormal condition, adjusting the abnormal threshold corresponding to the target abnormal condition according to a preset second adjustment amplitude includes:

[0117] When the last N historical anomaly judgment results among the plurality of historical anomaly judgment results are all or are all the second judgment results, increasing the second adjustment amplitude to obtain a third adjustment amplitude, where N is an integer greater than or equal to 2.

[0118] It can be understood that to avoid the alternating appearance of the first judgment result and the second judgment result among the plurality of historical anomaly judgment results, which affects the accuracy of adjusting the second adjustment amplitude, it is possible to determine whether the last N historical anomaly judgment results among the plurality of historical anomaly judgment results are all the same judgment result to decide whether to increase the adjustment amplitude. This adjustment method can ensure that the system can timely adjust the abnormal conditions when facing consecutive anomalies or normal situations, so as to more effectively respond to the changes in the battery state and improve the efficiency and reliability of battery management.

[0119] In some possible embodiments, increasing the second adjustment amplitude to obtain a third adjustment amplitude includes: doubling the second adjustment amplitude to obtain a third adjustment amplitude. Exemplarily, in the scenario of detecting over-discharge of the battery, if the second adjustment amplitude can be 0.05V, the increased third adjustment amplitude can be 0.1V, so as to more sensitively respond to the changes in the battery state.

[0120] In some possible embodiments, increasing the second adjustment amplitude to obtain a third adjustment amplitude includes: when the last N historical anomaly judgment results are all or are all the same judgment result, increasing the second adjustment amplitude according to the value of N to obtain a third adjustment amplitude.

[0121] In some possible embodiments, the increased amplitude of increasing the second adjustment amplitude can be determined through a preset mapping relationship, where the preset mapping relationship includes the mapping relationship between preset values and preset increased amplitudes. By flexibly setting the preset mapping relationship, for example, before reaching the upper limit of the increased amplitude, setting the value of N to be positively correlated with the increased amplitude, it is ensured that the target abnormal condition is quickly adjusted when the battery abnormal situation shows an obvious abnormal or normal trend.

[0122] In the above technical solution, the adjustment of the adjusted abnormal condition and the determination of the adjustment range achieve precise control of the vehicle battery.

[0123] Next, the method for abnormal judgment using the adjusted abnormal condition in the vehicle battery management method will be introduced in conjunction with the accompanying drawings to better understand the implementation process of the vehicle battery management method.

[0124] Please refer to Figure 5 , Figure 5 , which is a schematic flowchart of a process for abnormal judgment using the adjusted abnormal condition in the vehicle battery management method provided by an embodiment of the present application. As Figure 5 shown, the method may include the following steps:

[0125] S501, obtain at least one historical abnormal judgment result according to the abnormal label corresponding to at least one historical battery state data of the battery.

[0126] In some possible embodiments, obtaining at least one historical abnormal judgment result of the battery in the vehicle includes:

[0127] Obtain at least one historical abnormal judgment result according to the abnormal label corresponding to at least one historical battery state data of the battery, where the abnormal label is generated when the historical battery state data meets the corresponding historical abnormal condition.

[0128] It should be noted that the use of abnormal labels helps to quickly identify and obtain historical abnormal judgment results. For any historical battery state data, if it has an abnormal label, it can be determined as the first judgment result, and if not, it is the second judgment result. In this way, only by retrieving the abnormal label associated with the battery state data, multiple historical abnormal judgment results can be obtained, improving the efficiency of data acquisition, and enhancing the real-time performance and response ability of the battery management system to ensure timely and accurate monitoring and management of the battery state.

[0129] S502, when there is a first judgment result among at least one historical abnormal judgment result, adjust the target abnormal condition to obtain the adjusted abnormal condition.

[0130] S503, obtain the current battery state data of the battery.

[0131] S504, when the current battery state data meets the adjusted abnormal condition, output the alarm information corresponding to the adjusted abnormal condition.

[0132] After adjusting the target abnormal condition to obtain the adjusted abnormal condition, the method further includes:

[0133] Obtain the current battery status data of the battery;

[0134] When the current battery status data meets the adjusted abnormal conditions, output the alarm information corresponding to the adjusted abnormal conditions.

[0135] It can be understood that in this application, the next abnormal judgment of the vehicle battery can be based on the adjusted abnormal conditions. Therefore, after obtaining the adjusted abnormal conditions, the current battery status data of the battery can be obtained. When the current battery status data meets the adjusted abnormal conditions, output the alarm information corresponding to the adjusted abnormal conditions to prompt the user to pay attention, so that the user can timely understand the battery status and take corresponding measures.

[0136] In some possible embodiments, the method provided in this application can output the alarm information corresponding to the adjusted abnormal conditions in various ways.

[0137] Exemplarily, the alarm information in the form of icons or text can be output through devices such as the display screen and instrument panel set in the vehicle to display the abnormal condition of the battery. The alarm information can also be synchronized to terminal devices such as the user's mobile phone and tablet, so that the user can timely know the abnormal status of the battery when away from the vehicle. The user can also be prompted through the indicator lights or vehicle lights of the vehicle in a specific flashing mode. The appropriate output method of the alarm information can be selected according to actual needs, and this application does not limit it here.

[0138] In some possible embodiments, the abnormal conditions include the abnormal thresholds corresponding to the battery status data of the battery, and the abnormal conditions corresponding to different abnormal thresholds correspond to different levels of alarm information. Different levels of alarm information correspond to different prompting methods. For example, low-level alarms remind the user to pay attention to the battery status through in-vehicle text display or slight prompting sounds, while high-level alarms use external vehicle indicator light flashing, pop-up warnings on the central control screen, or restrict the charging operation of the vehicle to prompt the user to take immediate action.

[0139] It can be understood that the abnormal threshold corresponding to the abnormal condition may be continuously adjusted according to the historical abnormal judgment results, that is, the standard for judging whether the battery is abnormal changes dynamically. Exemplarily, in the scenario of detecting overcharging of the battery, as the continuous monitoring of the battery usage situation, the abnormal threshold corresponding to the abnormal condition, such as the voltage threshold, may be increased or decreased according to the historical abnormal judgment results. When the voltage threshold decreases, it can be understood that the vehicle's tolerance for overcharging decreases, and the vehicle will output an alarm message earlier, and it will affect the vehicle's further charging. To remind the user to take measures in time to prevent the battery from overcharging, a higher-level alarm message can be set, such as emitting a continuous warning sound, pushing an emergency notice through the mobile phone, or stopping the charging device from charging the vehicle. When the voltage threshold increases, the vehicle's tolerance for overcharging increases. At this time, if it is detected that the battery voltage is close to the new threshold, a lower-level alarm message can be output, such as only displaying a yellow prompt message on the in-vehicle screen or emitting a single prompt sound to remind the user to pay attention without affecting normal charging.

[0140] In some possible embodiments, obtaining the current battery state data of the battery includes:

[0141] When the preset parameters of the vehicle meet the preset acquisition conditions, obtain the current battery state data of the battery, where the preset parameters and the preset acquisition conditions are determined according to the abnormal conditions.

[0142] It should be noted that if the current battery state data of the battery is obtained in real time or periodically for abnormal judgment, it may lead to frequent alarms or adjustment of abnormal conditions. Taking the scenario of detecting over-discharge of the battery as an example, the battery state data of the battery can be the battery voltage or the battery power. During the period from the end of vehicle charging to the next charging, if the battery voltage or power is obtained in real time or at a preset period to detect whether the battery is over-discharged, within a period of time after being fully charged, the detected battery state data always does not meet the corresponding abnormal conditions, that is, no over-discharge abnormality is detected. Only after a certain moment, when the battery has consumed a part of the power, it is possible to detect that the battery state data meets the corresponding abnormal conditions, that is, it is detected that the battery has an over-discharge abnormality. In the above situation, before the over-discharge abnormality is actually detected, the reference significance of the detection result of over-discharge detection at high battery power is weak, and it may mislead the adjustment of abnormal conditions.

[0143] Therefore, the over-discharge detection process can be optimized by restricting the timing of obtaining the current battery state data of the battery. For example, in the scenario of detecting over-discharge of the battery, the battery voltage or power can be used as the preset parameter, and the preset acquisition conditions can be set, such as the battery voltage being lower than a certain threshold (such as 2.5V) or the battery power being lower than a certain threshold (such as 20%). In this way, the over-discharge abnormality judgment is only performed when the vehicle battery power is low, thereby improving the pertinence and effectiveness of the detection.

[0144] In addition to the scenario of detecting over-discharge of the battery, for other abnormal conditions, such as the abnormal conditions used in the scenario of detecting high temperature of the battery, the preset parameters determined according to the abnormal conditions may include the driving speed of the vehicle, and the preset acquisition conditions determined according to the abnormal conditions may include that the driving speed of the vehicle is greater than a preset speed threshold. In this way, the abnormal determination of high battery temperature will only be performed when the vehicle is driving at a relatively high speed. Because when the vehicle is driving at a relatively high speed, the load on the battery is large and the heat generation speed is fast, and at this time, the high temperature detection is more targeted and effective.

[0145] By implementing the above technical solutions, the vehicle battery management method provided by the embodiments of the present application can judge and alarm the current state of the battery based on the adjusted conditions, ensure the safety of the battery and the normal operation of the vehicle, and improve the user experience.

[0146] Next, the method for determining the initial abnormal conditions in the vehicle battery management method will be introduced in conjunction with the accompanying drawings to better understand the implementation process of the vehicle battery management method.

[0147] Please refer to Figure 6 , Figure 6 which is a schematic flowchart of a process for determining the initial abnormal conditions in the vehicle battery management method provided by the embodiments of the present application. As Figure 6 shown, the method may include the following steps:

[0148] S601, obtain the scenario mode in which the vehicle is located.

[0149] In some possible embodiments, the initial abnormal conditions are determined according to the scenario mode in which the vehicle is located, where the scenario mode includes a production mode, a transportation mode, a display vehicle mode, or a normal mode.

[0150] It should be noted that the production mode means that the vehicle is assembled and produced in the factory and has not reached the state that can be used for delivery. The display vehicle mode means that the vehicle is in a static display state for exhibition halls, auto shows, etc. The test mode means that the vehicle is used for test verification, and the normal mode means that the vehicle has been delivered to the owner.

[0151] In addition to the above scenario modes, more scenario modes can also be set according to actual needs, such as the transportation mode and the to-be-delivered mode, etc., which are not limited herein. Among them, the transportation mode means the state of the vehicle being transported from the factory to each delivery center and store, and the to-be-delivered mode means the state of the vehicle ready for delivery.

[0152] In some possible embodiments, when the vehicle is assembled on the production line, it is default in the initial production mode. After the vehicle is officially off the production line, it can be batch-converted to the required mode by means of the Internet of Things MQTT protocol. In this application, the mode signal can be obtained through Controller Area Network (CAN) communication, so as to accurately determine the current mode of the vehicle.

[0153] S602, determine the initial abnormal conditions according to the scenario mode in which the vehicle is located.

[0154] It should be noted that when the vehicle is in different scenario modes, the vehicle's usage requirements for the battery and the degree of risk prevention are different. Therefore, the initial abnormal conditions can be determined according to the scenario mode in which the vehicle is located.

[0155] Exemplarily, in the scenario of detecting over-discharge of the battery, for a vehicle in the display vehicle mode, since it needs to be statically displayed for a long time, in order to avoid over-discharge of the battery caused by abnormal charging equipment or other factors, an abnormal threshold (such as voltage threshold or power threshold) higher than that of a vehicle in the normal mode can be set, so as to trigger an alarm message earlier, so as to take measures in time to protect the battery, ensure the good battery state of the displayed vehicle, and avoid affecting the display effect due to battery problems.

[0156] In some possible embodiments, in addition to the initial abnormal conditions, the adjustment range for adjusting the abnormal conditions can also be determined according to the scenario mode in which the vehicle is located. For example, the first adjustment range for adjusting the initial abnormal conditions and the second adjustment range for adjusting the adjusted abnormal conditions are determined according to the scenario mode in which the vehicle is located.

[0157] Exemplarily, compared with a vehicle in the normal mode, when the vehicle is in the test mode, the battery in the vehicle may need to perform various performance tests, and these tests may cause greater load and pressure on the battery. A larger first adjustment range and second adjustment range than that of a vehicle in the normal mode can be set, so as to detect potential abnormal problems in time and output alarm messages or intervene in battery management.

[0158] By implementing the above technical solutions, the method provided in this application can set the adapted initial abnormal conditions and adjustment range for the vehicle battery according to different scenario modes, realizing accurate and flexible battery management.

[0159] To facilitate the understanding of the vehicle battery management method provided in this application, the vehicle battery management method provided in this application will be introduced below by taking the scenario of detecting overcharge of the battery as an example.

[0160] Please refer to Figure 7 , Figure 7 which is another schematic flowchart of the vehicle battery management method provided in the embodiment of this application, asFigure 7 As shown, the method may include the following steps:

[0161] S701, obtaining at least one historical abnormal judgment result of the battery in the vehicle.

[0162] In some possible embodiments, the vehicle battery management method provided in this application can be applied to the scenario of detecting overcharging of the battery. In this scenario, the battery state data of the battery can include battery voltage or battery charge, and the abnormal conditions include voltage threshold or charge threshold. When the battery voltage is greater than the voltage threshold or the battery charge is greater than the charge threshold, it is determined that the battery state data meets the corresponding abnormal conditions.

[0163] S702, determining whether there is a first judgment result in at least one historical abnormal judgment result.

[0164] It should be noted that if there is any one historical abnormal judgment result as the first judgment result, it indicates that overcharging abnormality has been detected in the historical overcharging detection of the battery. At this time, step S703 is executed. On the contrary, if all historical abnormal judgment results are not the first judgment result, that is, the vehicle battery has never been detected with overcharging abnormality, then the historical abnormal conditions for each overcharging detection always remain the initial abnormal conditions and do not need to be adjusted.

[0165] S703, determining whether the target abnormal condition is the initial abnormal condition or the adjusted abnormal condition.

[0166] It should be noted that the target abnormal condition is one of at least one historical abnormal condition corresponding to at least one historical abnormal judgment result. For example, the target abnormal condition can be the historical abnormal condition corresponding to the last historical abnormal judgment result, that is, the condition used last time before adjusting the target abnormal condition. This can ensure real-time and adaptability of battery management based on the latest historical data.

[0167] When the target abnormal condition is the adjusted abnormal condition, step S704 is executed, and when the target abnormal condition is the initial abnormal condition, step S706 is executed. The content can be referred to the description of step S201 in the previous text and will not be elaborated here.

[0168] S704, determining whether the last historical abnormal judgment result is the first judgment result or the second judgment result.

[0169] When the last historical abnormal judgment result is the first judgment result, step S705 is executed, and when the last historical abnormal judgment result is the second judgment result, step S707 is executed. The content can be referred to the description of step S201 in the previous text and will not be elaborated here.

[0170] S705. Adjust the anomaly threshold corresponding to the target anomaly condition according to the preset first adjustment direction to obtain the adjusted anomaly condition.

[0171] In the scenario of detecting overcharging of the battery, the first adjustment direction is to decrease. Therefore, when the target anomaly condition is the adjusted anomaly condition and the last historical anomaly judgment result is the first judgment result, the adjusted anomaly condition can be obtained by decreasing the voltage threshold or the power threshold corresponding to the target anomaly condition.

[0172] S706. Adjust the anomaly threshold corresponding to the target anomaly condition according to the preset first adjustment direction to obtain the adjusted anomaly condition.

[0173] In the scenario of detecting overcharging of the battery, when the target anomaly condition is the initial anomaly condition, since whether there is the first judgment result in at least one historical anomaly judgment result, the adjusted anomaly condition can be obtained by decreasing the voltage threshold or the power threshold corresponding to the target anomaly condition.

[0174] S707. Adjust the anomaly threshold corresponding to the target anomaly condition according to the preset second adjustment direction to obtain the adjusted anomaly condition.

[0175] In the scenario of detecting overcharging of the battery, the second adjustment direction is opposite to the first adjustment direction and is to increase. When the target anomaly condition is the adjusted anomaly condition and the last historical anomaly judgment result is the second judgment result, the adjusted anomaly condition can be obtained by increasing the voltage threshold or the power threshold corresponding to the target anomaly condition.

[0176] S708. Obtain the current battery state data of the battery.

[0177] After obtaining the adjusted anomaly condition, the current battery state data of the battery can be obtained.

[0178] S709. Determine whether the current battery state data meets the adjusted anomaly condition.

[0179] When the current battery state data meets the adjusted anomaly condition, execute step S710.

[0180] S710. Output the warning information corresponding to the adjusted anomaly condition.

[0181] When the current battery state data meets the adjusted anomaly condition, by outputting the warning information corresponding to the adjusted anomaly condition, the user can be prompted that the battery overcharging is detected again, so that the user can take appropriate actions, such as stopping charging, replacing the charging device or performing vehicle maintenance, to avoid potential battery damage or safety risks and ensure the normal operation of the vehicle and the service life of the battery.

[0182] It should be noted that after the abnormality judgment is made through the adjusted abnormality condition, the above steps can be executed again, that is, the entire process of starting from obtaining the historical abnormality judgment result to judging whether the current battery state data meets the adjusted abnormality condition can be restarted. In this way, the battery state can be continuously monitored to achieve dynamic management and real-time protection of the vehicle battery.

[0183] It should be understood that although the steps in the above flowcharts are sequentially shown according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover, at least a part of the steps in the above flowcharts may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed alternately or alternately with at least a part of other steps or sub-steps or stages of other steps.

[0184] Based on the foregoing embodiments, an embodiment of the present application provides a vehicle battery management method. The device includes each module included and each unit included in each module, and can be implemented by a processor; of course, it can also be implemented by specific logic circuits; in the implementation process, the processor can be a central processing unit (CPU), a microprocessor (MPU), a digital signal processor (DSP), or a field programmable gate array (FPGA), etc.

[0185] Please refer to Figure 8 , Figure 8 , which is a schematic structural diagram of the vehicle battery management device provided by the embodiment of the present application. As Figure 8 shown, the vehicle battery management device includes an acquisition module 801 and an adjustment module 802, where:

[0186] The acquisition module 801 is configured to acquire at least one historical abnormality judgment result of the battery in the vehicle, where each historical abnormality judgment result is used to indicate whether the historical battery state data of the battery meets the corresponding historical abnormality condition.

[0187] The adjustment module 802 is configured to adjust the target abnormality condition to obtain an adjusted abnormality condition when there is a first judgment result in at least one historical abnormality judgment result, where the first judgment result indicates that the historical battery state data meets the corresponding historical abnormality condition, and the target abnormality condition is one of at least one historical abnormality condition corresponding to at least one historical abnormality judgment result. The adjusted abnormality condition is used for the next abnormality judgment of the battery state data of the battery.

[0188] In some possible embodiments, the abnormal condition includes an abnormal threshold corresponding to the battery state data of the battery. The adjustment module 802 is further configured to, when the target abnormal condition is a preset initial abnormal condition, adjust the abnormal threshold corresponding to the target abnormal condition according to a preset first adjustment direction to obtain an adjusted abnormal condition, where the first adjustment direction is determined according to the type of the battery state data of the battery, the first adjustment direction includes increasing or decreasing, and the type includes voltage or temperature.

[0189] In some possible embodiments, the adjustment module 802 is further configured to, when the target abnormal condition is an adjusted abnormal condition and the last historical abnormal judgment result is the first judgment result, adjust the abnormal threshold corresponding to the target abnormal condition according to the first adjustment direction to obtain an adjusted abnormal condition, where the adjusted abnormal condition is obtained by adjusting the initial abnormal condition at least once; when the target abnormal condition is an adjusted abnormal condition and the last historical abnormal judgment result is the second judgment result, adjust the abnormal threshold corresponding to the target abnormal condition according to a preset second adjustment direction to obtain an adjusted abnormal condition, where the second judgment result indicates that the historical battery state data does not conform to the corresponding historical abnormal condition, and the second adjustment direction is opposite to the first adjustment direction.

[0190] In some possible embodiments, the adjustment module 802 is further configured to, when the target abnormal condition is a preset initial abnormal condition, adjust the abnormal threshold corresponding to the target abnormal condition according to a preset first adjustment amplitude to obtain an adjusted abnormal condition; when the target abnormal condition is an adjusted abnormal condition, adjust the abnormal threshold corresponding to the target abnormal condition according to a preset second adjustment amplitude to obtain an adjusted abnormal condition, where the adjusted abnormal condition is obtained by adjusting the initial abnormal condition at least once, and the second adjustment amplitude is smaller than the first adjustment amplitude.

[0191] In some possible embodiments, at least one historical abnormal judgment result is a plurality of historical abnormal judgment results. The adjustment module 802 is further configured to, when there are at least two consecutive first judgment results or at least two consecutive second judgment results among the plurality of historical abnormal judgment results, increase the second adjustment amplitude to obtain a third adjustment amplitude, and adjust the abnormal threshold corresponding to the target abnormal condition according to the third adjustment amplitude, where the third adjustment amplitude is smaller than the first adjustment amplitude.

[0192] In some possible embodiments, the initial abnormal condition is determined according to the scenario mode in which the vehicle is located, where the scenario mode includes a production mode, a transportation mode, a display vehicle mode, or a normal mode.

[0193] In some possible embodiments, the obtaining module 801 is further configured to obtain at least one historical anomaly determination result according to the anomaly labels corresponding to at least one historical battery state data of the battery, where the anomaly labels are generated when the historical battery state data meets the corresponding historical anomaly conditions.

[0194] In some possible embodiments, the vehicle battery management device further includes an alarm module, configured to obtain the current battery state data of the battery; and output alarm information corresponding to the adjusted anomaly conditions when the current battery state data meets the adjusted anomaly conditions.

[0195] The description of the above device embodiments is similar to that of the above method embodiments, and has similar beneficial effects to those of the method embodiments. For the technical details not disclosed in the device embodiments of the present application, please refer to the description of the method embodiments of the present application for understanding.

[0196] It should be noted that in the embodiments of the present application Figure 8 The division of the modules of the vehicle battery management device shown is schematic, and is only a logical function division. There may be other division methods in actual implementation. In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or may exist physically alone, or two or more units may be integrated in one unit. The above integrated unit may be implemented in the form of hardware, or may be implemented in the form of a software functional unit. It may also be implemented in the form of a combination of software and hardware.

[0197] It should be noted that in the embodiments of the present application, if the above method is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the embodiments of the present application, in essence, or the part that contributes to the related technology, may be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing an electronic device to execute all or part of the methods described in the embodiments of the present application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROMs), magnetic disks, or optical discs that can store program codes. In this way, the embodiments of the present application are not limited to any specific combination of hardware and software.

[0198] The embodiments of the present application provide a vehicle, and its internal structure diagram may be as Figure 9As shown in the figure. The vehicle includes a processor, a memory, and a network interface connected via a system bus. Among them, the processor of the vehicle is used to provide computing and control capabilities. The memory of the vehicle includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the vehicle is used to store data. The network interface of the vehicle is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, the above method is implemented.

[0199] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps in the method provided in the above embodiment are implemented.

[0200] An embodiment of the present application provides a computer program product containing instructions. When it runs on a computer, it causes the computer to execute the steps in the method provided in the above method embodiment.

[0201] Those skilled in the art can understand that Figure 9 the structure shown in the figure is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the vehicle to which the solution of the present application is applied. The specific vehicle may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0202] In one embodiment, the vehicle battery management device provided by the present application can be implemented in the form of a computer program, and the computer program can run on a vehicle as shown in Figure 9 the figure. Each program module constituting the above device can be stored in the memory of the vehicle. The computer program constituted by each program module causes the processor to execute the steps in the methods of the various embodiments of the present application described in this specification.

[0203] It should be pointed out here that: the descriptions of the above storage medium and device embodiments are similar to the descriptions of the above method embodiments, and have beneficial effects similar to those of the method embodiments. For the technical details not disclosed in the storage medium, storage medium and device embodiments of the present application, please refer to the descriptions of the method embodiments of the present application for understanding.

[0204] It should be understood that the "one embodiment" or "an embodiment" or "some embodiments" mentioned throughout the specification means that the specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present application. Therefore, the "in one embodiment" or "in an embodiment" or "in some embodiments" that appear throughout the specification do not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner. It should be understood that in various embodiments of the present application, the magnitude of the serial numbers of the above processes does not mean the order of execution. The order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application. The serial numbers of the embodiments of the present application above are only for description and do not represent the advantages or disadvantages of the embodiments. The above descriptions of the various embodiments tend to emphasize the differences between the various embodiments, and their similarities or similarities can be referred to each other. For the sake of brevity, they will not be elaborated herein.

[0205] The term "and / or" in this article is only a description of the association relationship of the associated objects, indicating that there can be three relationships. For example, object A and / or object B can represent: object A exists alone, object A and object B exist simultaneously, and object B exists alone. These three situations.

[0206] It should be noted that in this article, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of additional identical elements in the process, method, article or device including the element.

[0207] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The embodiments described above are only illustrative. For example, the division of the modules is only a logical function division. In actual implementation, there can be other division methods, such as: multiple modules or components can be combined, or can be integrated into another system, or some features can be ignored, or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed with each other can be through some interfaces, and the indirect coupling or communication connection of the devices or modules can be electrical, mechanical or other forms.

[0208] The modules described above as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules; they may be located in one place or distributed across multiple network elements; some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0209] In addition, each functional module in the embodiments of the present application may be all integrated in one processing unit, or each module may be separately used as one unit, or two or more modules may be integrated in one unit; the above integrated modules may be implemented in the form of hardware or in the form of a combination of hardware and software functional units.

[0210] Those of ordinary skill in the art can understand that all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions. The foregoing program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps including the above method embodiments; and the foregoing storage medium includes: removable storage devices, read-only memory (ROM), magnetic disks, or optical disks and other various media that can store program codes.

[0211] Alternatively, if the above integrated unit of the present application is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiments of the present application, in essence or the part that contributes to the related art, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing an electronic device to execute all or part of the methods described in the various embodiments of the present application. And the foregoing storage medium includes: removable storage devices, ROM, magnetic disks, or optical disks and other various media that can store program codes.

[0212] The methods disclosed in the several method embodiments provided in the present application can be arbitrarily combined without conflict to obtain new method embodiments.

[0213] The features disclosed in the several product embodiments provided in the present application can be arbitrarily combined without conflict to obtain new product embodiments.

[0214] The features disclosed in the several method or device embodiments provided in the present application can be arbitrarily combined without conflict to obtain new method embodiments or device embodiments.

[0215] As described above, it is only the implementation mode of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of changes or substitutions, which should all be covered within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims described above.

Claims

1. A vehicle battery management method, characterized in that, Including: Obtaining at least one historical anomaly judgment result of a battery in a vehicle, where each historical anomaly judgment result is used to indicate whether the historical battery state data of the battery meets a corresponding historical anomaly condition; When there is a first judgment result among the at least one historical anomaly judgment result, adjusting a target anomaly condition to obtain an adjusted anomaly condition, where the first judgment result indicates that the historical battery state data meets the corresponding historical anomaly condition, the target anomaly condition is one of the at least one historical anomaly conditions corresponding to the at least one historical anomaly judgment result, and the adjusted anomaly condition is used for the next anomaly judgment of the battery state data of the battery.

2. The method according to claim 1, wherein The anomaly condition includes an anomaly threshold corresponding to the battery state data of the battery. The adjusting the target anomaly condition to obtain an adjusted anomaly condition includes: When the target anomaly condition is a preset initial anomaly condition, adjusting the anomaly threshold corresponding to the target anomaly condition according to a preset first adjustment direction to obtain the adjusted anomaly condition, where the first adjustment direction is determined according to the type of the battery state data of the battery, the first adjustment direction includes increasing or decreasing, and the type includes voltage or temperature.

3. The method according to claim 2, wherein The adjusting the target anomaly condition to obtain an adjusted anomaly condition includes: When the target anomaly condition is an adjusted anomaly condition and the last historical anomaly judgment result is the first judgment result, adjusting the anomaly threshold corresponding to the target anomaly condition according to the first adjustment direction to obtain the adjusted anomaly condition, where the adjusted anomaly condition is obtained by adjusting the initial anomaly condition at least once; When the target anomaly condition is the adjusted anomaly condition and the last historical anomaly judgment result is a second judgment result, adjusting the anomaly threshold corresponding to the target anomaly condition according to a preset second adjustment direction to obtain the adjusted anomaly condition, where the second judgment result indicates that the historical battery state data does not meet the corresponding historical anomaly condition, and the second adjustment direction is opposite to the first adjustment direction.

4. The method according to claim 2, wherein The adjusting the target anomaly condition to obtain an adjusted anomaly condition includes: When the target anomaly condition is a preset initial anomaly condition, adjusting the anomaly threshold corresponding to the target anomaly condition according to a preset first adjustment amplitude to obtain the adjusted anomaly condition; When the target anomaly condition is an adjusted anomaly condition, adjusting the anomaly threshold corresponding to the target anomaly condition according to a preset second adjustment amplitude to obtain the adjusted anomaly condition, where the adjusted anomaly condition is obtained by adjusting the initial anomaly condition at least once, and the second adjustment amplitude is less than the first adjustment amplitude.

5. The method according to claim 4, wherein The at least one historical anomaly judgment result is a plurality of historical anomaly judgment results. When the target anomaly condition is an adjusted anomaly condition, adjusting the anomaly threshold corresponding to the target anomaly condition according to a preset second adjustment amplitude includes: When there are at least two consecutive first judgment results or at least two consecutive second judgment results among the plurality of historical anomaly judgment results, increasing the second adjustment amplitude to obtain a third adjustment amplitude, and adjusting the anomaly threshold corresponding to the target anomaly condition according to the third adjustment amplitude, where the third adjustment amplitude is less than the first adjustment amplitude.

6. The method according to any one of claims 2-5, characterized in that, The initial anomaly condition is determined according to the scenario mode in which the vehicle is located, where the scenario mode includes a production mode, a transportation mode, a display vehicle mode, or a normal mode.

7. The method according to claim 1, characterized in that, The obtaining of at least one historical anomaly judgment result of the battery in the vehicle includes: Obtaining the at least one historical anomaly judgment result according to the anomaly label corresponding to at least one historical battery state data of the battery, where the anomaly label is generated when the historical battery state data meets the corresponding historical anomaly condition.

8. The method according to claim 1, wherein After adjusting the target anomaly condition to obtain an adjusted anomaly condition, the method further includes: Obtaining the current battery state data of the battery; When the current battery state data meets the adjusted anomaly condition, outputting an alarm message corresponding to the adjusted anomaly condition.

9. A vehicle battery management device, characterized in that, including: An obtaining module, configured to obtain at least one historical anomaly judgment result of the battery in the vehicle, where each historical anomaly judgment result is used to indicate whether the historical battery state data of the battery meets the corresponding historical anomaly condition; An adjustment module, configured to adjust a target anomaly condition to obtain an adjusted anomaly condition when there is a first judgment result among the at least one historical anomaly judgment results, where the first judgment result indicates that the historical battery state data meets the corresponding historical anomaly condition, the target anomaly condition is one of at least one historical anomaly condition corresponding to the at least one historical anomaly judgment result, and the adjusted anomaly condition is used to perform an anomaly judgment on the battery state data of the battery next time.

10. A vehicle, comprising a memory and a processor, the memory storing a computer program that can run on the processor, characterized in that, When the processor executes the program, the steps of the method according to any one of claims 1 to 8 are implemented.

11. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, the method according to any one of claims 1 to 8 is implemented.

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