Method and device for determining state of storage battery in vehicle and vehicle

Abstract

The invention provides a method and device for determining the state of a storage battery in a vehicle and the vehicle, and the method comprises the steps: responding to the condition that the vehicle is in a power-on state, and determining the operation mode of the vehicle; in response to the fact that the operation mode is the storage and transportation mode, operation parameters of a storage battery in the vehicle in the storage and transportation mode are obtained, and the operation parameters are used for representing the operation state of the storage battery; and in response to the condition that the operation parameters meet a target judgment condition, the charging amount of the storage battery in the target time period is obtained, the state detection result of the storage battery is determined based on the charging amount, and the target judgment condition is used for triggering state detection of the storage battery. The technical problem that the detection efficiency of the storage battery in the vehicle is low is solved.

Description

TECHNICAL FIELD

[0001] Embodiments of the present application relate to the technical field of vehicles, and particularly relate to a method and device for determining a state of a storage battery in a vehicle and a vehicle. BACKGROUND

[0002] Currently, the detection of the storage battery in the vehicle is performed by detecting the state of charge (SOC) value, voltage value and current sampling value of the storage battery to detect the health level. However, the above detection method is strongly related to the SOC value, rated capacity, electrode material type and other factors of the storage battery, and the detection logic is relatively complex. For example, the SOC value must be higher than a certain threshold to start the detection, and in addition, the current distribution state during the entire charging period needs to be continuously monitored. Therefore, there is still a technical problem of low detection efficiency of the storage battery in the vehicle. SUMMARY

[0003] Embodiments of the present application provide a method and device for determining a state of a storage battery in a vehicle and a vehicle to at least solve the technical problem of low detection efficiency of the storage battery in the vehicle.

[0004] According to an embodiment of the present application, a method for determining a state of a storage battery in a vehicle is provided, which can include: determining an operation mode of the vehicle in response to the vehicle being in a powered-on state; obtaining an operation parameter of the storage battery in the vehicle in a storage and transportation mode in response to the operation mode being the storage and transportation mode, wherein the operation parameter is used to represent an operation state of the storage battery; obtaining a charging amount of the storage battery in a target period in response to the operation parameter satisfying a target judgment condition, and determining a state detection result of the storage battery based on the charging amount, wherein the target judgment condition is used to trigger the state detection of the storage battery.

[0005] The above-mentioned optional embodiments of the present application can achieve the following beneficial effects: in the case that the vehicle is in a powered-on state, the operation mode of the vehicle is determined; in the storage and transportation mode, the operation parameter of the storage battery in the vehicle can be obtained to monitor the operation state of the storage battery in real time, and in the case that the operation parameter satisfies the target judgment condition, the charging amount of the storage battery in the target period is triggered to obtain, and the state detection result of the storage battery is determined by analyzing the charging amount. The above-mentioned method does not require manual intervention, and the state detection result of the storage battery can be determined based on the charging amount, so that the detection process is more intelligent, and the automaticity and efficiency of the detection are improved.

[0006] Optionally, determining the state detection result of the storage battery based on the charging amount includes: obtaining a correction coefficient, wherein the correction coefficient has an associated relationship with the operation parameter; converting the maximum available capacity in the operation parameter by using the correction data to obtain a target operation parameter; and judging the charging amount by using the target operation parameter to obtain the state detection result.

[0007] The above optional embodiments of the present application can achieve the following beneficial effects: by introducing the correction coefficient, the influence of the operating parameter on the charging performance is considered. After obtaining the correction coefficient, the maximum available capacity in the operating parameter can be converted using the correction data to obtain the target operating parameter. The above target operating parameter is closer to the maximum charging capacity that the battery can provide in the actual situation, so that the subsequent charging capacity judgment can be more accurate, and the state detection result obtained is also more accurate, thereby improving the accuracy of the state detection result. The method of the present application based on the charging capacity no longer needs to rely on complex SOC calculation or direct measurement of other battery internal states, thereby simplifying the detection process, reducing the detection cost, and improving the detection efficiency.

[0008] Optionally, the charging capacity is judged using the target operating parameter to obtain a state detection result, including: in response to the charging capacity being greater than or equal to the target operating parameter, determining that the state detection result is a first detection result, wherein the first detection result is used to represent that the operating state is a normal operating state or a low-capacity operating state; and in response to the charging capacity being less than the target operating parameter, determining that the state detection result is a second detection result, wherein the second detection result is used to represent that the operating state is an abnormal operating state.

[0009] The above optional embodiments of the present application can achieve the following beneficial effects: by setting a target operating parameter as a reference, the normal operating state, the low-capacity operating state, and the abnormal operating state of the battery can be accurately identified. This parameter threshold (target operating parameter) based method ensures the objectivity and accuracy of the state judgment, and avoids misjudgment caused by subjective judgment or inaccurate monitoring.

[0010] Optionally, after obtaining the operating parameter of the battery in the storage and transportation mode, the method further includes: obtaining temperature data of the battery, capacity accuracy of the battery, and voltage data of the battery from the operating parameter; in response to the temperature data being greater than or equal to a preset temperature, the capacity accuracy being valid, and the voltage data being greater than a preset voltage, determining that the operating parameter meets the target judgment condition; and in response to the temperature data being less than the preset temperature, or the capacity accuracy being invalid, or the voltage data being less than or equal to the preset voltage, determining that the operating parameter does not meet the target judgment condition.

[0011] The above optional embodiments of the present application can achieve the following beneficial effects: by comprehensively analyzing the temperature data in the operating parameters of the battery, the capacity accuracy of the battery, and the voltage data of the battery, it is determined whether the operating parameters meet the target judgment condition, and by using the pre-set target judgment condition to judge the operating parameters, the accuracy and reliability of the battery health state detection are improved, and the environmental adaptability, efficiency and safety of the detection are also enhanced, which provides important support for vehicle maintenance and user use.

[0012] Optionally, the method further comprises: in response to the operating parameters not meeting the target judgment condition, displaying, on a display screen of a host of the vehicle, a reason why the operating parameters do not meet the target judgment condition and a processing strategy corresponding to the reason.

[0013] The above optional embodiments of the present application can achieve the following beneficial effects: by displaying the reason why the operating parameters do not meet the target judgment condition and the processing strategy thereof on the display screen of the host of the vehicle, not only the transparency and operability are improved, but also the user or service provider can be helped to carry out effective preventive maintenance, the safety is enhanced, the user experience is improved, the self-diagnosis ability of the vehicle is promoted, and the reliability and economy of the vehicle are also promoted.

[0014] Optionally, the method further comprises: transmitting the state detection result to the host of the vehicle; controlling the host to determine display content matched with the state detection result, and controlling the display screen of the host to display the display content.

[0015] The above optional embodiments of the present application can achieve the following beneficial effects: by transmitting the state detection result to the host of the vehicle and displaying it intuitively, not only the immediacy and accuracy of the feedback of the state detection result are improved, but also the friendliness of the user interface is enhanced, effective maintenance guidance is provided, active maintenance is promoted, driving safety is enhanced, integration of the vehicle battery management is realized, and the trust and satisfaction of the user for the battery management system of the vehicle are improved.

[0016] According to one of the embodiments of the present application, a determination device for a battery state in a vehicle is also provided, comprising: a determination unit configured to determine an operating mode of the vehicle in response to the vehicle being in a powered-on state; an acquisition unit configured to acquire operating parameters of a battery in the vehicle in a storage and transportation mode in response to the operating mode being the storage and transportation mode, wherein the operating parameters are used to represent an operating state of the battery; and a processing unit configured to acquire a charging amount of the battery in a target period in response to the operating parameters meeting a target judgment condition, and determine a state detection result of the battery based on the charging amount, wherein the target judgment condition is used to trigger state detection of the battery.

[0017] According to another aspect of the embodiments of the present application, an electronic device is provided, comprising a processor; a memory for storing processor-executable instructions; wherein the processor is configured to execute the instructions to implement the method described above.

[0018] According to another aspect of the embodiments of the present application, a computer readable storage medium is provided, in which a computer program is stored, wherein the computer program is configured to be executed by a processor to implement the method described above.

[0019] According to another aspect of the embodiments of the present application, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the method described above.

[0020] According to another aspect of the embodiments of the present application, a vehicle is provided, comprising an on-board processor and an on-board memory, wherein the on-board memory is configured to store a computer program; and the on-board processor is configured to execute the computer program stored in the memory to implement the method described above.

[0021] It should be noted that the general description and the detailed description of the above content are only for illustrating and explaining the present application, and do not constitute a limitation of the present application. BRIEF DESCRIPTION OF DRAWINGS

[0022] Figure 1 is a flow chart of a method for determining the state of a storage battery in a vehicle according to an embodiment of the present application;

[0023] Figure 2 is a flow chart of a method for detecting the health state of a lead-acid storage battery in a vehicle according to an embodiment of the present application;

[0024] Figure 3 is a schematic diagram of a device for determining the state of a storage battery in a vehicle according to an embodiment of the present application;

[0025] Figure 4 is a structural diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0026] In order to make the technical problems, technical solutions and beneficial effects of the present application clearer, the present application will be further described in detail below with reference to the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, and do not limit the present application.

[0027] Currently, the existing methods for detecting the state of health of the battery in the vehicle often require the SOC value of the battery to be higher than a certain specific threshold value to start the state of health detection. This condition limits the flexibility of detection, making it impossible to detect in a timely manner in some cases, especially when the state of charge of the battery is low, and the health status cannot be immediately understood. In addition, information such as the geographical location of the vehicle, the rated capacity of the battery, and the type of electrode material needs to be associated, which is usually obtained from a cloud database, increasing the complexity of the detection system. At the same time, the detection process may rely on additional hardware devices, not only increasing the cost, but also possibly reducing the detection efficiency and convenience. In order to accurately evaluate the state of health of the battery, the existing technology often needs to continuously monitor the current distribution state during the entire charging process, which means that a large amount of data needs to be collected and tedious mathematical operations need to be performed, not only consuming a large amount of computing resources, but also prolonging the detection time and affecting the user experience.

[0028] In the related art, a method for predicting the state of health of a lead-acid battery in a vehicle is proposed, which relies on a cloud computing platform to upload the collected battery operation data to the cloud, and uses big data analysis and machine learning algorithms to predict the state of health. This method can handle a large amount of data and provide more accurate prediction results, but at the same time, it also increases the dependence on network and cloud resources. Therefore, there is still a technical problem of low detection efficiency of the battery in the vehicle.

[0029] To solve the above problems, the embodiments of the present application provide a method for determining the state of a battery in a vehicle, which is different from the related art that relies on an external cloud computing platform, and the data processing and state prediction process needs the support of cloud resources. The present application focuses on completing the detection of the state of health of the battery by the vehicle itself without relying on any external devices and information acquisition.

[0030] In the embodiments of the present application, in response to the vehicle being in a powered-on state, the operating mode of the vehicle is determined; in response to the operating mode being a storage and transportation mode, the operating parameters of the battery in the vehicle in the storage and transportation mode are obtained, wherein the operating parameters are used to represent the operating state of the battery; in response to the operating parameters meeting a target judgment condition, the charging amount of the battery in a target time period is obtained, and based on the charging amount, a state detection result of the battery is determined, wherein the target judgment condition is used to trigger the state detection of the battery.

[0031] The method for determining the battery status in a vehicle provided in this application achieves the following technical effects: When the vehicle is powered on, the vehicle's operating mode is determined. To ensure accurate monitoring and reasonable assessment of the battery's health status during prolonged periods of non-use or under specific non-operating conditions, the acquisition of the battery's operating parameters can be triggered when the operating mode is storage and transportation mode. If the operating parameters meet the target judgment conditions, the battery's charge amount within the target time period can be acquired, thereby determining the battery's status detection result based on the charge amount. Compared to existing technologies that rely on specific tools or human judgment, automatically identifying the storage and transportation mode and performing targeted battery status detection can more accurately assess the actual health status of the battery during storage and transportation, reduce the possibility of misjudgment and missed detection, avoid detection distortion caused by pattern recognition errors, and improve the targeting and effectiveness of the detection.

[0032] Optionally, in this embodiment, the battery's operating parameters cover multiple dimensions such as temperature, capacity, capacity accuracy, and voltage. By comprehensively judging whether the target judgment conditions are met through multiple parameters to trigger detection, it is more comprehensive and accurate than existing technologies that rely on only a single parameter (such as SOC value), and can more accurately reflect the battery's true operating state. In this embodiment, when the operating parameters meet the target judgment conditions, the battery's charging amount within a target time period is acquired. Collecting and analyzing the charging amount within the set target time period ensures that the battery's health status is detected under stable conditions, avoiding the impact of instantaneous fluctuations on the detection results.

[0033] In summary, this application demonstrates significant advantages over existing technologies in terms of targeting, comprehensiveness, efficiency, and user experience by automatically identifying storage and transportation modes, comprehensively considering operating parameters, optimizing the testing process, and providing real-time feedback results. This improves the accuracy and reliability of battery health status detection, thereby solving the technical problem of low battery testing efficiency and achieving the technical effect of improving battery testing efficiency.

[0034] This application provides a method for determining the state of a vehicle battery. Please refer to [the relevant documentation]. Figure 1 , Figure 1 This is a flowchart of a method for determining the state of a vehicle battery according to an embodiment of this application, as shown below. Figure 1 As shown, the method may include the following steps:

[0035] S102: In response to the vehicle being powered on, determine the vehicle's operating mode.

[0036] In step S102, the power-on state can be used to indicate that the vehicle's electronic systems have begun to operate. Even if the vehicle's engine has not yet started, systems such as the instrument panel, entertainment system, electronic control unit (ECU), and battery management system (BMS) are activated and ready to respond to user operations or automatically execute certain functions. Operating modes may include storage and transportation mode, charging mode, driving mode, etc., which are only examples and do not impose specific limitations on the content of operating modes here.

[0037] In this embodiment, since different operating modes correspond to different detection logic and conditions, in order to detect the state of the battery later, the operating mode of the vehicle can be automatically identified and determined when the vehicle is powered on.

[0038] Optionally, when the vehicle is powered on (e.g., when the vehicle's power system is turned on), the onboard computer or the vehicle's battery management system can identify that the vehicle is powered on by monitoring information such as the internal circuit status and sensor data. After identifying that the vehicle is powered on, the vehicle's information can be further analyzed to determine the current operating mode.

[0039] For example, by reading the vehicle's mode signals, which can be digital signals from the vehicle's electronic control unit or specific physical signals in storage and operation mode (such as key position, start button status, etc.), and analyzing these mode signals and related status data (such as engine status, drive system configuration, vehicle location information, etc.), it can be determined whether the vehicle is in different operating modes such as storage and operation mode, charging mode, or normal driving mode.

[0040] Optionally, based on the analysis of the above signals and data, the current operating mode of the vehicle can be determined. For example, if the vehicle is stationary, there is no driver input, and the engine is not started, it can be determined that the vehicle is in storage and operation mode or charging mode; conversely, if the vehicle is in dynamic driving mode, it can be determined that the vehicle is in driving mode.

[0041] The above-mentioned optional embodiments of this application can achieve the following beneficial effects: by monitoring the power-on status of the vehicle and analyzing the vehicle's mode signal, the current operating mode of the vehicle can be automatically determined. Determining the current operating mode of the vehicle is an important part of the entire battery health status detection process, and plays an indispensable role in ensuring the accuracy, safety and user experience of the detection.

[0042] S104: In response to the operating mode being storage and transportation mode, obtain the operating parameters of the battery in the vehicle under storage and transportation mode.

[0043] In step S104, the operating parameters can be used to characterize the operating status of the battery, and may include, but are not limited to, battery temperature, battery capacity, battery capacity accuracy, battery voltage information, maximum usable battery capacity, and cumulative battery charge.

[0044] In this embodiment, after determining the vehicle's operating mode in response to the vehicle being powered on, the operating parameters of the battery in the vehicle under storage and transportation mode can be acquired if the operating mode is storage and transportation mode. Storage and transportation mode can represent a special operating mode adopted by the vehicle during production, transportation, or long-term storage. In storage and transportation mode, some systems and functions in the vehicle can be adjusted or limited to ensure the safety of the vehicle and minimize energy consumption when not in use. Detection under storage and transportation mode helps ensure that the battery is in good condition before vehicle delivery. If the vehicle is in storage and transportation mode, operating parameters related to the battery's operating status under the current operating mode can be acquired. These operating parameters provide a basis for a comprehensive assessment of the battery's health status.

[0045] Optionally, battery temperature has a significant impact on battery operation; excessively high or low temperatures can affect charging efficiency and battery life. Battery capacity reflects the battery's ability to store electrical energy and is a key indicator of whether the battery meets usage requirements. Capacity accuracy represents the ratio of the battery's actual usable capacity to its rated capacity and is an important parameter for evaluating the battery's performance stability and reliability. Battery voltage reflects the battery's state of charge and the stability of its internal circuitry. Maximum usable capacity, data from battery sensors, provides information on the maximum electrical energy the battery can provide under its current condition, and is crucial for assessing the battery's performance ceiling. Cumulative charge amount records the amount of electricity the battery has accumulated during storage and transportation, and is the basis for subsequent calculations of charge amount.

[0046] Optionally, by acquiring multiple operating parameters, battery status can be assessed based on multi-dimensional operating parameters, ensuring the comprehensiveness and accuracy of the judgment. By automatically collecting battery operating parameters in storage and transportation mode, the need for manual operation is reduced, and the level of intelligence and efficiency of data collection is improved.

[0047] The above-mentioned optional embodiments of this application can achieve the following beneficial effects: obtaining the operating parameters of the vehicle battery in the storage and transportation mode is a key step to ensure the accuracy, intelligence and early problem identification capability of battery health status detection, which plays an important role in improving vehicle maintenance efficiency, reducing maintenance costs and improving user satisfaction.

[0048] S106: Obtain the charge amount of the battery during the target time period, and determine the battery status detection result based on the charge amount.

[0049] In step S106, the target judgment condition can be used to trigger the state detection of the battery, and may include, but is not limited to: temperature data greater than or equal to a preset temperature, valid capacity accuracy, and voltage data greater than a preset voltage. The target time period can be a pre-set time period, for example, 3 seconds, which can be represented by T1. It should be noted that this is only an example, and there is no specific limitation on the size of the target time period. The above-mentioned charging amount can be represented by Qcharge, which can be the battery charging amount within T1 minutes, and can be derived from the difference between the cumulative charging amount of the battery before and after within T1 minutes.

[0050] In this embodiment, after obtaining the operating parameters of the battery in the vehicle under storage and transportation mode, the charging amount of the battery during the target time period can be obtained, and the battery status detection result can be determined based on the charging amount.

[0051] Optionally, during the target time period, the battery management system can continuously monitor and record the cumulative charge amount (charge amount) of the battery. The target time period is a predefined observation window used to measure the battery's performance during charging in storage and transportation mode. The setting of the target time period needs to comprehensively consider factors such as the battery's charging characteristics and temperature stabilization time to ensure that the collected data accurately reflects the battery's state. The aforementioned charge amount refers to the total amount of electricity absorbed by the battery from the grid or other charging sources within the target time period T1.

[0052] Optionally, by comparing the charging amount before and after the start of the target time period T1, the charging amount within the target time period T1 can be accurately obtained. Then, the health status of the battery can be determined according to a pre-set algorithm. For example, the charging amount can be analyzed in conjunction with parameters such as the battery's maximum usable capacity, the target time period T1, and the battery temperature. If the charging amount reaches or exceeds a predicted value α calculated based on the battery's maximum usable capacity and other parameters... If the battery's maximum usable capacity is considered, then the battery can be considered to be in a good or acceptable condition ("OK" or "low charge," depending on the current battery capacity). If the charge level is lower than the expected value α... The maximum usable capacity of a battery indicates a health problem, such as increased internal resistance or decreased storage capacity. In this case, the battery will be marked as unqualified ("NG").

[0053] Optionally, the aforementioned α coefficient is a dynamically adjustable parameter that can be adjusted based on the battery's temperature, capacity, and charging time to adapt to health status assessment standards under different conditions. For example, when the battery is at a lower temperature, α can be set higher because charging efficiency is typically lower at low temperatures, requiring a more rigorous assessment of whether the charging amount has reached the expected level.

[0054] The above-described optional embodiments of this application achieve the following beneficial effects: By monitoring the charging amount within a target time period and analyzing it in conjunction with other key parameters of the battery, an accurate judgment of the battery's health status can be achieved, reducing the possibility of misjudgment and improving the accuracy and reliability of status judgment. Setting a target time period for detection allows the status judgment process to be completed in a shorter time, improving the detection response speed and ensuring that the battery's health status can be quickly assessed before vehicle delivery. The dynamic adjustment mechanism of the α coefficient considers variables such as ambient temperature, battery capacity, and charging time, enabling the vehicle to intelligently adjust the judgment criteria according to actual conditions, enhancing the flexibility and adaptability of decision-making. By acquiring and analyzing the battery charging amount within the target time period, combined with other key parameters, intelligent assessment and rapid response to the battery's health status are achieved, improving the efficiency of status judgment.

[0055] Based on steps S102 to S106 above, by automatically identifying storage and transportation modes, comprehensively considering operating parameters, optimizing the detection process, and providing real-time feedback results, it demonstrates significant advantages over existing technologies in terms of targeting, comprehensiveness, efficiency, and user experience. This improves the accuracy and reliability of battery health status detection, thereby solving the technical problem of low battery detection efficiency and achieving the technical effect of improving battery detection efficiency.

[0056] The method described in this embodiment will now be further explained.

[0057] As an optional embodiment, step S106, based on the charging amount, determines the state detection result of the battery, including: obtaining a correction coefficient, wherein the correction coefficient is correlated with the operating parameters; using the correction data, converting the maximum available capacity in the operating parameters to obtain the target operating parameters; using the target operating parameters, judging the charging amount to obtain the state detection result.

[0058] In this embodiment, the aforementioned correction coefficient can be represented by α, also known as the α coefficient, and can be determined by the battery temperature, capacity, and charging time among the operating parameters. For example, when the temperature is low, the α coefficient takes a higher value; when the capacity is large, the α coefficient takes a smaller value; and when the charging time is long, the α coefficient takes a larger value. It should be noted that this is only an example and no specific limitations are made on the relationship between the correction coefficient and the operating parameters.

[0059] Optionally, in the process of determining the state detection result of the battery based on the charging amount, a correction coefficient corresponding to the operating parameters can be determined based on the operating parameters; the maximum available capacity in the operating parameters can be converted using the correction data to obtain the target operating parameters; and the charging amount can be judged using the target operating parameters to obtain the state detection result.

[0060] Optionally, the correction coefficients corresponding to the current operating parameters can be obtained. After obtaining the correction coefficients, the maximum available capacity in the operating parameters can be converted using the correction data to obtain the target operating parameters (α). (Maximum usable capacity of the battery). Furthermore, the charge amount (Qcharge) can be determined using target operating parameters. For example, logical calculations can be performed based on the battery temperature, battery capacity, battery capacity accuracy, maximum usable capacity, and cumulative charge amount, outputting the status detection result. The judgment logic can be: Qcharge ≥ α When the battery reaches its maximum usable capacity, the battery health status test result is OK or low charge (the result of OK or low charge depends on the battery capacity at that time); Qcharge < α When the battery reaches its maximum usable capacity, the battery health test result is NG.

[0061] Optionally, Qcharge can be used to represent the amount of battery charge within T1 minutes, which can be derived from the difference between the cumulative charge amount within T1 minutes. The maximum usable battery capacity is determined by the battery sensor.

[0062] For example, if the battery capacity is between 60% and 70%, and the battery capacity accuracy meets the requirements, and the battery temperature is ≥15 degrees Celsius, the cumulative charge of the battery will increase by ≥4%. The battery's condition can be considered OK when its maximum usable capacity is reached. This means that within a certain battery capacity range, as long as the battery temperature reaches the minimum requirement and sufficient charge (at least 4% of the maximum usable capacity) is received within a specified time, the battery can be considered to be in good condition. Conversely, when 50% ≤ battery capacity < 60%, and the battery capacity accuracy meets the requirements, if the battery temperature is ≥ 15℃ and the cumulative charge increase is < 6%, the battery is considered to be in good condition. The battery's maximum usable capacity can be used to determine its condition as "NG". This logic indicates that even if the battery capacity is low and the battery temperature is within the acceptable range, if the amount of charge received within the same target time period is insufficient (less than 6% of the maximum usable capacity), the battery's health is considered poor.

[0063] Optionally, capacity accuracy can be used to represent the accuracy of the BMS's estimation of the actual remaining battery capacity. If the capacity accuracy does not meet the preset standard, battery status detection cannot be performed normally regardless of other conditions. The optimal operating temperature for a battery is generally between 15°C and 35°C. Temperatures that are too low will affect the battery's charging efficiency and capacity performance; therefore, temperature is included as an important parameter in the judgment logic. The cumulative charging capacity increase ratio is a quantitative indicator of charging efficiency within the target time period T1. By comparing the change in the battery's maximum usable capacity before and after this period, the battery's charging performance can be evaluated.

[0064] The optional embodiments described above achieve the following beneficial effects: Through the above steps, battery condition detection is no longer static, but rather the evaluation criteria are dynamically adjusted based on real-time operating parameters. This method can more accurately assess the actual health status of the battery under various environments, helping to improve the accuracy and applicability of the detection. Especially for vehicles in storage and transportation mode, this adaptive detection method ensures reliable results even under complex and changing conditions, thereby improving the efficiency and quality of battery condition checks before vehicle delivery.

[0065] As an optional embodiment, the charging amount is judged using the target operating parameters to obtain a status detection result, including: in response to the charging amount being greater than or equal to the target operating parameters, determining the status detection result as a first detection result, wherein the first detection result is used to characterize the operating state as a normal operating state or a low-battery operating state; in response to the charging amount being less than the target operating parameters, determining the status detection result as a second detection result, wherein the second detection result is used to characterize the operating state as an abnormal operating state.

[0066] In this embodiment, during the process of determining the charging amount using the target operating parameters and obtaining the status detection result, if the charging amount is greater than or equal to the target operating parameters, the status detection result can be determined as the first detection result, that is, the operating state is a normal operating state or a low-battery operating state. If the charging amount is less than the target operating parameters, the status detection result can be determined as the second detection result, that is, the operating state is an abnormal operating state.

[0067] Optionally, the target operating parameters are calculated based on the battery's current operating conditions (e.g., temperature, battery life, charging rate, etc.) and correction factors, representing the minimum charge level the battery should achieve under current conditions. Setting the target operating parameters ensures that the evaluation criteria reflect the actual operating environment and battery characteristics.

[0068] Optionally, if the detected charge amount within the target time period T1 is greater than or equal to the target operating parameters, this means that the battery is performing well under the current conditions and has at least reached the set minimum charging efficiency standard. In this case, the status detection result can be determined as the first detection result, indicating that the battery's operating status is either normal operation or low charge operation. For example, if the battery capacity remains at a high level during detection (e.g., 60% to 70%), the status detection result is a normal operation state, indicating that the battery's charging efficiency in storage and operation mode meets expectations and the overall battery condition is healthy. Conversely, if the capacity is low (e.g., only 50%), even if the charge amount reaches the target operating parameters, the status detection result may still be marked as a low charge operation state, indicating that timely charging is needed.

[0069] Optionally, if the battery charge is less than the target operating parameters within the same target time period T1, this indicates that the battery charging efficiency is lower than expected, suggesting increased internal resistance, battery aging, or other health issues. In this case, the status detection result can be determined as the second detection result, characterizing the battery's operating state as an abnormal operating state.

[0070] Optionally, when Qcharge ≥ α When the battery's maximum usable capacity is reached, it can be determined whether the charging amount is greater than or equal to the target operating parameters. If the charging amount is greater than or equal to the target operating parameters, the status detection result can be determined as the first detection result. At this point, based on the battery capacity value, it can be determined whether the battery's operating state is a normal operating state or a low-charge operating state. For example, if the battery capacity value is greater than or equal to the capacity threshold, the battery's operating state can be considered as a normal operating state; if the battery capacity value is less than the capacity threshold, the battery's operating state can be considered as a low-charge operating state. When Qcharge < α When the battery reaches its maximum usable capacity, it can be determined that the charge is less than the target operating parameters. In this case, the status detection result is the second detection result, which means the battery health detection result is NG.

[0071] The above-mentioned optional embodiments of this application can achieve the following beneficial effects: by introducing target operating parameters and judging the operating status of the battery based on whether the charging amount reaches the target operating parameters, a more flexible and accurate battery health status detection method is provided. It not only considers the characteristics of the battery itself, but also fully considers the influence of the operating environment, thereby enabling a more comprehensive assessment of the battery's true status and providing more reliable data support for vehicle maintenance and resource management.

[0072] As an optional embodiment, after obtaining the operating parameters of the battery in the vehicle in storage and transportation mode, the method further includes: obtaining the battery temperature data, battery capacity accuracy, and battery voltage data from the operating parameters; determining that the operating parameters meet the target judgment conditions in response to the temperature data being greater than or equal to a preset temperature, the capacity accuracy being valid, and the voltage data being greater than a preset voltage; and determining that the operating parameters do not meet the target judgment conditions in response to the temperature data being less than a preset temperature, or the capacity accuracy being invalid, or the voltage data being less than or equal to a preset voltage.

[0073] In this embodiment, after acquiring the operating parameters of the vehicle's battery in storage and transportation mode, the battery's temperature data, capacity accuracy, and voltage data can be obtained from these parameters. Based on the acquired battery temperature data, capacity accuracy, and voltage data, it can be determined whether the vehicle condition conditions for battery health status diagnosis are met.

[0074] Optionally, extracting battery temperature data from operating parameters is crucial, as it directly impacts battery performance and charging efficiency. Excessively high or low temperatures can alter internal chemical reactions, affecting the battery's health. Capacity accuracy reflects the accuracy of the battery's state of charge (SOC) estimation. Invalid or low capacity accuracy indicates that the BMS cannot accurately estimate the battery's remaining capacity, thus affecting the reliability of condition diagnostics. Voltage data is essential for determining whether the battery is charging. Only when the voltage exceeds a preset voltage can it be determined that the battery is charging or has the conditions for charging.

[0075] Optionally, if the battery temperature data is greater than or equal to the preset temperature Temp℃ (i.e., ensuring that the battery's chemical reaction and charging efficiency are not temperature-limited within a suitable temperature range), the capacity accuracy is valid (i.e., indicating that the BMS can accurately assess the battery status), and the voltage data is greater than the preset voltage U1 volts (V) (i.e., ensuring that the battery is in a charging state, rather than a discharging or dormant state), then the battery's operating parameters are considered to meet the target judgment conditions. In this case, the battery can enter a waiting state, preparing to perform a more detailed health status diagnosis after T1 minutes.

[0076] Optionally, if any of the above conditions are not met (i.e., the temperature data is lower than the preset temperature, the capacity accuracy is invalid, or the voltage data is less than or equal to the preset voltage), it can be determined that the operating parameters have failed to meet the target judgment conditions. This means that the battery may not be able to perform an accurate health status diagnosis under the current conditions, or there may be other potential problems that need to be resolved first.

[0077] Optionally, once the operating parameters are determined to meet the target judgment conditions, a "Detecting" status can be displayed on the vehicle's main unit screen within T1 minutes. This not only notifies the driver or maintenance personnel of the ongoing health check but also gives the vehicle's various systems sufficient time to collect the necessary data for subsequent in-depth analysis.

[0078] The above-described optional embodiments of this application achieve the following beneficial effects: by judging the battery's temperature data, capacity accuracy, and voltage data under storage and transportation mode, health status diagnosis is ensured only under suitable conditions, guaranteeing the accuracy of the test results and avoiding unnecessary resource waste. If the three key operating parameters—temperature data, capacity accuracy, and voltage data—all meet preset conditions, in-depth analysis will continue after T1 minutes to ultimately determine the battery's health status. Otherwise, the detection will be suspended until conditions improve. This mechanism ensures the high efficiency and accuracy of battery health status detection.

[0079] As an optional embodiment, the method further includes: in response to the operating parameters not meeting the target judgment conditions, displaying the reason why the operating parameters do not meet the target judgment conditions and the corresponding processing strategy on the display screen of the vehicle's host.

[0080] In this embodiment, if the operating parameters do not meet the target judgment conditions, that is, the temperature data is less than the preset temperature, or the capacity accuracy is invalid, or the voltage data is less than or equal to the preset voltage, the reason why the operating parameters do not meet the target judgment conditions and the corresponding processing strategy can be displayed on the display screen of the vehicle's host.

[0081] For example, if the battery temperature is lower than the preset temperature Temp℃, the display screen may show a "Temp Too Low" warning, indicating that the current low temperature environment may affect the battery health status detection. For example: "Battery temperature is below Temp℃, detection may be inaccurate." If the capacity accuracy is invalid or below a certain threshold, the display screen may show a "Capacity Accuracy Insufficient" warning, indicating that the BMS cannot accurately estimate the battery's remaining capacity. For example: "Capacity accuracy is below standard, which may affect the detection results." If the battery voltage is less than or equal to the preset voltage U1 V, the display screen may show "Voltage Too Low," indicating that the battery may not be charging and effective health status detection cannot be performed. For example: "Battery voltage is below U1 V, detection cannot start."

[0082] Optionally, the handling strategy can be as follows: when the battery temperature is not satisfactory, prompt the vehicle to remain stationary indoors for N hours; when the battery capacity accuracy is not satisfactory, prompt the vehicle to remain stationary with the battery connected for N hours; when the battery voltage is not satisfactory, prompt the vehicle to start.

[0083] For example, when the temperature is too low, the handling strategy could be to suggest moving the vehicle to a warmer environment or turning on the vehicle's heating system to raise the battery temperature. For example: "Please place the vehicle in an environment with a temperature of at least Temp℃ and wait N hours before trying again." When capacity accuracy is insufficient, the handling strategy could be to suggest recalibrating the BMS or keeping the battery charged for a period of time to improve capacity accuracy. For example: "Please keep the vehicle battery connected and charging for at least N hours to improve capacity accuracy." When the voltage is too low, the handling strategy could be to suggest starting the vehicle to raise the battery voltage through the vehicle's charging system or using an external charging device to charge the battery. For example: "Please start the vehicle and wait for the engine to charge to a voltage of at least U1V, or use an external charger to charge."

[0084] The above-described optional embodiments of this application achieve the following beneficial effects: by directly presenting the reasons for unmet conditions and the handling strategies on the vehicle's main unit display screen, the user-friendliness and practicality of the battery health status detection process are enhanced. This not only helps users understand why the current test cannot be performed, but also provides practical solution steps, guiding users on how to adjust the vehicle environment or take maintenance measures to ensure successful battery health status detection in the future, while also improving the efficiency and accuracy of vehicle maintenance.

[0085] As an optional embodiment, the method further includes: transmitting the status detection result to the vehicle's host computer; the host computer determining the display content that matches the status detection result, and the host computer's display screen displaying the display content.

[0086] In this embodiment, the status detection result can be transmitted to the vehicle's host computer. After receiving the detection result, the vehicle's host computer can determine the display content that matches the status detection result and display the matching content on the host computer's display screen. For example, icons such as "OK", "Low Battery", and "NG" can be displayed on the Human-Machine Interface (HMI).

[0087] Optionally, the "OK" icon indicates that the battery is in good health and meets normal usage conditions; in this case, the battery is in normal operating condition. The "Low Battery" icon indicates that the battery is healthy but has a low charge and needs to be charged; in this case, the battery is in low battery operating condition. The "NG" icon indicates that the battery has a health problem and needs further inspection or replacement; in this case, the battery is in abnormal operating condition.

[0088] Optionally, the host computer automatically selects the appropriate icon based on the received detection results and controls the display screen to present this content. This instant visual feedback helps users quickly understand the battery's status without needing to delve into complex detection data.

[0089] The above-described optional embodiments of this application achieve the following beneficial effects: by displaying the battery health status detection results in the form of icons on the vehicle's main unit screen in real time, the user experience is greatly improved, and the efficiency of maintenance work is also enhanced. Users do not need professional knowledge to quickly identify the battery status and take corresponding actions based on the displayed icons. The introduction of this mechanism is an important step towards achieving intelligent and user-friendly vehicle maintenance, which helps to ensure the safe operation of the vehicle and extend the service life of the battery.

[0090] In this embodiment, by automatically identifying storage and transportation modes, comprehensively considering operating parameters, optimizing the detection process, and providing real-time feedback results, it demonstrates significant advantages over existing technologies in terms of targeting, comprehensiveness, efficiency, and user experience. This improves the accuracy and reliability of battery health status detection, thereby solving the technical problem of low battery detection efficiency and achieving the technical effect of improving battery detection efficiency.

[0091] According to an embodiment of this application, a convenient method for detecting the health status of automotive lead-acid batteries is also provided. Please refer to [link / reference]. Figure 2 , Figure 2 This is a flowchart of a convenient method for detecting the health status of automotive lead-acid batteries according to an embodiment of this application, as shown below. Figure 2 As shown, the method includes the following steps:

[0092] Step S201: Power on the vehicle.

[0093] In this embodiment, the vehicle is first ensured to be powered on. With the vehicle powered on, its power system is operational, providing the necessary power supply for subsequent testing steps. The vehicle's status can be acquired, including vehicle mode status, battery temperature status, battery capacity status, battery capacity accuracy status, battery voltage status, maximum usable battery capacity, and cumulative battery charge.

[0094] Step S202: Determine whether the vehicle mode is storage and transportation mode.

[0095] In this embodiment, after the vehicle is powered on, it can be determined whether the vehicle mode is storage and operation mode. In storage and operation mode, the battery will undergo specific usage cycles and environmental conditions, ensuring that the test is performed in the correct mode, because the battery health assessment standards in storage and operation mode may differ from those in normal operating mode. If the vehicle mode is storage and operation mode, step S204 is executed; otherwise, step S203 is executed.

[0096] Step S203, End, no HMI display.

[0097] In this embodiment, if the vehicle mode is not the storage and transportation mode, the detection process ends directly without any display or interaction on the host screen. This is because detection may not be applicable or necessary in non-storage and transportation modes.

[0098] Step S204: Check if the battery temperature is ≥Temp, the capacity accuracy is valid, and the battery voltage is >U1.

[0099] In this embodiment, if the vehicle is in storage and transportation mode, it is further determined whether the battery temperature is ≥Temp, whether the capacity accuracy is valid, and whether the battery voltage is >U1 V. If the battery temperature is ≥Temp, whether the capacity accuracy is valid, and whether the battery voltage is >U1, then step S205 is executed; otherwise, step S206 is executed.

[0100] Step S205: Enable timer T and start timing; the host HMI displays "Detection in progress".

[0101] In this embodiment, if the battery temperature is ≥Temp, the capacity accuracy is valid, and the battery voltage is >U1, then the timer is activated and starts timing. At the same time, the "Detecting" status is displayed on the host HMI to inform the user that the detection has started and data is being collected and analyzed.

[0102] Step S206: Feedback on the reasons for dissatisfaction and countermeasures.

[0103] In this embodiment, if any of the following conditions are not met: battery temperature ≥ Temp, capacity accuracy is not valid, or battery voltage > U1 V, the user is provided with specific reasons for the non-compliance and corresponding solutions. For example, if the temperature is too low, it is recommended to place the vehicle in a warm environment for a specific period of time before conducting the test.

[0104] Step S207: The host HMI displays the detection conditions not being met and the corresponding countermeasures.

[0105] In this embodiment, the host HMI can display the detection conditions not being met and the corresponding countermeasures.

[0106] Step S208: Check if the battery temperature is ≥Temp, the capacity accuracy is valid, and the battery voltage is >U1.

[0107] In this embodiment, before the end of T1 minutes, the battery's operating parameters are checked again to see if they still meet the initial conditions. That is, it is determined whether the battery temperature is ≥Temp, the capacity accuracy is valid, and the battery voltage is >U1V. This is to ensure the stability of the conditions throughout the testing process. If the battery temperature is ≥Temp, the capacity accuracy is valid, and the battery voltage is >U1V, then step S209 is executed; otherwise, step S204 is executed.

[0108] Step S209, timing duration T≥T1.

[0109] In this embodiment, after the timer T1 minutes has elapsed, it can be checked whether the predetermined detection time T1 has been reached. This is crucial in determining whether to proceed to the next step of health status assessment. If the timer duration T ≥ T1, then step S210 is executed; otherwise, step S208 is executed.

[0110] Step S210, Qcharge ≥ α Maximum usable capacity of the battery.

[0111] In this embodiment, if the timing duration T ≥ T1, then it is determined whether Qcharge ≥ α. The maximum usable capacity of the battery, if Qcharge ≥ α If the maximum usable capacity of the battery is found, proceed to step S211; otherwise, proceed to step S212.

[0112] Step S211: Is the battery charge greater than or equal to the charge threshold?

[0113] In this embodiment, if Qcharge ≥ α If the maximum usable capacity of the battery is determined, then it is further determined whether the battery charge is greater than the charge threshold (that is, whether the battery capacity is greater than or equal to the capacity threshold). If the battery charge is greater than the charge threshold (that is, whether the battery capacity is greater than or equal to the capacity threshold), then step S214 is executed; otherwise, step S216 is executed.

[0114] Step S212, the battery health status is NG.

[0115] In this embodiment, if Qcharge ≥ α If the maximum usable capacity of the battery is not met, the battery health status is NG.

[0116] In step S213, the host HMI displays NG.

[0117] In this embodiment, when the battery health status is NG, the host HMI displays NG.

[0118] Step S214: The battery health status is OK.

[0119] In this embodiment, if the battery charge is greater than the charge threshold, the battery health status is OK.

[0120] In step S215, the host HMI displays NG.

[0121] In this embodiment, when the battery health status is OK, the host HMI displays NG.

[0122] Step S216: The battery health status is low charge.

[0123] In this embodiment, if the battery charge is less than or equal to the charge threshold, the battery health status is low charge.

[0124] In step S217, the host HMI displays a low battery indicator.

[0125] In this embodiment, when the battery health status is low, the host HMI displays a low battery indicator.

[0126] Optionally, based on the vehicle status obtained above, it is determined whether the vehicle status conditions for battery health status diagnosis are met. When the battery temperature is ≥Temp℃, the capacity accuracy (indicating the effectiveness of battery capacity) is met, and the battery voltage is >U1V (indicating that the battery is in a charging state), the conditions are considered met, and the process waits for T1 minutes. During the waiting process, the host screen displays the current detection status.

[0127] Optionally, if the preconditions for detection are not met, or if any one or more of the above vehicle conditions are not met during the waiting time T1, the current status will be displayed on the host screen, and a pop-up message will indicate the reason for the failure and the corresponding countermeasures. If the battery temperature is not met, the system will prompt the user to leave the vehicle indoors for N hours; if the battery capacity accuracy is not met, the system will prompt the user to leave the vehicle with the battery connected for N hours; if the battery voltage is not met, the system will prompt the user to start the vehicle.

[0128] Optionally, after T1 minutes, the detection result is calculated and output based on the battery's temperature, capacity, capacity accuracy, maximum usable capacity, and cumulative charge. The detailed judgment logic is: Qcharge ≥ α When the battery reaches its maximum usable capacity, the battery health status test result is OK or low charge (the OK / low charge result depends on the battery capacity at that time); Qcharge < α When the battery reaches its maximum usable capacity, the battery health test result is NG. Here, Qcharge represents the battery charge within T1 minutes, calculated from the difference in cumulative charge within T1 minutes; the maximum usable capacity is determined by the battery sensor; and the α coefficient is derived from the battery temperature, capacity, and charging time. For example, a higher α coefficient is used when the temperature is low, a lower α coefficient is used when the capacity is large, and a larger α coefficient is used when the charging time is long.

[0129] Optionally, after receiving the test results, the vehicle's main unit displays the results on its screen. For example, if the test result is OK, an "OK" icon can be displayed. If the test result is NG, an "NG" icon can be displayed.

[0130] In this embodiment, based on the vehicle's operating environment, without relying on any external devices or information acquisition, the vehicle itself can diagnose the battery's health status by judging information such as the temperature of the lead-acid battery sensor, battery capacity, battery capacity accuracy, battery voltage, maximum usable capacity, and cumulative charging charge. The test results are then displayed on the host screen. By refining each step in the testing process, the comprehensiveness, accuracy, and timeliness of the battery health status detection are ensured. Through interaction with the host HMI, users can intuitively understand the testing process and results, facilitating timely maintenance decisions, thereby optimizing battery usage management and extending its service life.

[0131] According to an embodiment of this application, a device for determining the state of a battery in a vehicle is also provided. It should be noted that this device for determining the state of a battery in a vehicle can be used to execute the method for determining the state of a battery in a vehicle described in the embodiments.

[0132] This application also provides a device 30 for determining the state of a vehicle battery, please refer to... Figure 3 , Figure 3 This is a schematic diagram of a device for determining the state of a vehicle battery according to an embodiment of this application, as shown below. Figure 3 As shown, the battery status determination device 30 in the vehicle may include: a determination unit 32, used to determine the vehicle's operating mode in response to the vehicle being powered on; an acquisition unit 34, used to acquire the operating parameters of the battery in the vehicle in the storage and transportation mode in response to the operating mode being the storage and transportation mode, wherein the operating parameters are used to characterize the battery's operating status; and a processing unit 36, used to acquire the battery's charging amount within a target time period in response to the operating parameters meeting a target judgment condition, and to determine the battery's status detection result based on the charging amount, wherein the target judgment condition is used to trigger the battery's status detection.

[0133] The battery status determination device in the vehicle provided in this application embodiment achieves the following technical effects: the determination unit 32 determines the vehicle's operating mode in response to the vehicle being powered on; the acquisition unit 34 acquires the operating parameters of the battery in the vehicle under the storage and transportation mode in response to the operating mode being the storage and transportation mode, wherein the operating parameters are used to characterize the battery's operating status; the processing unit 36 ​​acquires the battery's charging amount within a target time period in response to the operating parameters meeting the target judgment condition, and determines the battery's status detection result based on the charging amount, wherein the target judgment condition is used to trigger the battery's status detection, thereby solving the technical problem of low detection efficiency of batteries in vehicles and achieving the technical effect of improving the detection efficiency of batteries in vehicles.

[0134] It should be noted that the above-mentioned units can be implemented by software or hardware. For the latter, they can be implemented in the following ways, but are not limited to: all the above modules are located in the same processor; or, the above modules are located in different processors in any combination.

[0135] This application also provides an electronic device 40, please refer to... Figure 4 , Figure 4 This is a structural diagram of an electronic device provided in one embodiment of this application, including a processor 410 and a memory 420. The memory 410 is used to store computer programs; the processor 420 is used to execute the programs stored in the memory 410 to implement the method for determining the state of a vehicle battery as described in any embodiment of this application.

[0136] Optionally, in this embodiment, the processor can be configured to perform the following steps via a computer program:

[0137] Step S1: In response to the vehicle being powered on, determine the vehicle's operating mode;

[0138] Step S2: In response to the operating mode being storage and transportation mode, obtain the operating parameters of the battery in the vehicle under storage and transportation mode, wherein the operating parameters are used to characterize the operating status of the battery.

[0139] Step S3: In response to the operating parameters meeting the target judgment condition, the charging amount of the battery during the target time period is obtained, and the state detection result of the battery is determined based on the charging amount. The target judgment condition is used to trigger the state detection of the battery.

[0140] The electronic device provided in this application embodiment achieves the following technical effects: by automatically identifying storage and transportation modes, comprehensively considering operating parameters, optimizing the detection process, and providing real-time feedback results, it demonstrates significant advantages over existing technologies in terms of targeting, comprehensiveness, efficiency, and user experience, thereby improving the accuracy and reliability of battery health status detection, and thus solving the technical problem of low battery detection efficiency, achieving the technical effect of improving battery detection efficiency.

[0141] Those skilled in the art will understand that Figure 4 The structure shown is for illustrative purposes only. Electronic devices can also be smartphones (such as Android phones, iOS phones, etc.), tablets, PDAs, and mobile internet devices (MIDs) and other terminal devices. Figure 4 This does not limit the structure of the aforementioned electronic device. For example, electronic device 40 may also include components that are more... Figure 4 The more or fewer components shown (such as network interfaces, display devices, etc.), or having the same Figure 4 The different configurations shown.

[0142] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method for determining the state of a battery in a vehicle as described in any embodiment of this application.

[0143] Optionally, in this embodiment, the storage medium may be configured to store a computer program for performing the following steps:

[0144] Step S1: In response to the vehicle being powered on, determine the vehicle's operating mode;

[0145] Step S2: In response to the operating mode being storage and transportation mode, obtain the operating parameters of the battery in the vehicle under storage and transportation mode, wherein the operating parameters are used to characterize the operating status of the battery.

[0146] Step S3: In response to the operating parameters meeting the target judgment condition, the charging amount of the battery during the target time period is obtained, and the state detection result of the battery is determined based on the charging amount. The target judgment condition is used to trigger the state detection of the battery.

[0147] The storage medium provided in this application embodiment achieves the following technical effects: by automatically identifying storage and transportation modes, comprehensively considering operating parameters, optimizing the detection process, and providing real-time feedback results, it demonstrates significant advantages over existing technologies in terms of targeting, comprehensiveness, efficiency, and user experience, thereby improving the accuracy and reliability of battery health status detection, and thus solving the technical problem of low battery detection efficiency, achieving the technical effect of improving battery detection efficiency.

[0148] Optionally, in this embodiment, the storage medium may include, but is not limited to, various media capable of storing computer programs, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0149] In this application, "multiple" refers to two or more.

[0150] In this application, unless otherwise expressly defined, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0151] The terms “first,” “second,” “third,” “fourth,” etc., in this application (if present) are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence.

[0152] In this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent three cases: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, in this application, the character " / " generally indicates that the preceding and following related objects have an "or" relationship.

[0153] Unless otherwise specified, all steps in this application may be performed sequentially or randomly. For example, if a method includes steps A and B, it means that the method may include steps A and B performed sequentially, or it may include steps B and A performed sequentially. For example, if a method may also include step C, it means that step C may be added to the method in any order. For example, the method may include steps A, B, and C, or it may include steps A, C, and B, or it may include steps C, A, and B, etc.

[0154] The above are merely preferred embodiments of this application and are not intended to limit this application. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for determining the state of a battery in a vehicle, characterized in that, include: In response to the vehicle being powered on, the operating mode of the vehicle is determined; In response to the operation mode being a storage and transportation mode, the operating parameters of the battery in the vehicle are obtained under the storage and transportation mode, wherein the operating parameters are used to characterize the operating status of the battery; In response to the operating parameters meeting the target judgment condition, the charging amount of the battery during the target time period is obtained, and the state detection result of the battery is determined based on the charging amount, wherein the target judgment condition is used to trigger the state detection of the battery.

2. The method according to claim 1, characterized in that, The determination of the battery status detection result based on the charging amount includes: Obtain correction coefficients, wherein the correction coefficients are correlated with the operating parameters; Using the correction data, the maximum available capacity in the operating parameters is converted to obtain the target operating parameters; The charging amount is determined using the target operating parameters to obtain the status detection result.

3. The method according to claim 2, characterized in that, The step of using the target operating parameters to determine the charging amount and obtain the state detection result includes: In response to the charging amount being greater than or equal to the target operating parameter, the state detection result is determined as the first detection result, wherein the first detection result is used to characterize the operating state as a normal operating state or a low battery operating state; In response to the charging amount being less than the target operating parameter, the state detection result is determined as a second detection result, wherein the second detection result is used to characterize the operating state as an abnormal operating state.

4. The method according to claim 1, characterized in that, After obtaining the operating parameters of the battery in the vehicle under the storage and transportation mode, the method further includes: The battery temperature data, battery capacity accuracy, and battery voltage data are obtained from the operating parameters. In response to the temperature data being greater than or equal to a preset temperature, the capacity accuracy being valid, and the voltage data being greater than a preset voltage, it is determined that the operating parameters meet the target judgment conditions; In response to the temperature data being less than the preset temperature, or the capacity accuracy being invalid, or the voltage data being less than or equal to the preset voltage, it is determined that the operating parameters do not meet the target judgment condition.

5. The method according to claim 4, characterized in that, The method further includes: In response to the fact that the operating parameters do not meet the target judgment condition, the reason why the operating parameters do not meet the target judgment condition and the corresponding processing strategy are displayed on the display screen of the vehicle's host.

6. The method according to any one of claims 1 to 5, characterized in that, The method further includes: The status detection results are transmitted to the vehicle's main unit. The host determines the display content that matches the status detection result, and controls the host's display screen to display the display content.

7. A device for determining the state of a vehicle battery, characterized in that, include: A determining unit is configured to determine the operating mode of the vehicle in response to the vehicle being powered on. The acquisition unit is configured to acquire, in response to the operation mode being a storage and transportation mode, the operating parameters of the battery in the vehicle under the storage and transportation mode, wherein the operating parameters are used to characterize the operating state of the battery. The processing unit is configured to, in response to the operating parameters satisfying the target judgment condition, acquire the charge amount of the battery within a target time period, and determine the state detection result of the battery based on the charge amount, wherein the target judgment condition is used to trigger the state detection of the battery.

8. A vehicle, characterized in that, The system includes an on-board processor and an on-board memory, wherein the on-board memory is used to store computer programs; and the on-board processor is used to execute the computer programs stored in the on-board memory, wherein when the computer programs are executed by the on-board processor, they implement the method described in any one of claims 1 to 6.

9. An electronic device, characterized in that, Including processor and memory, among which, Memory, used to store computer programs; A processor for executing a program stored in memory to implement the method described in any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the method described in any one of claims 1 to 6.

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