Battery maintenance method and equipment for long-term standing of vehicle, medium and vehicle

Abstract

The invention provides a battery maintenance method and device for long-term standing of a vehicle, a medium and the vehicle. The method comprises the steps that the running state of the vehicle is obtained; under the condition that the running state is the target standing state, monitoring the current value of a target parameter of a battery of the vehicle; the target parameter is a parameter influencing the battery capacity of the battery; the standing time of the target standing state is greater than a preset time threshold; under the condition that the current value is not matched with the expected value corresponding to the target parameter, executing the target operation; the target operation is used for adjusting the target parameter to be matched with the expected value; wherein under the condition that the target parameter is at the expected value, the capacity fading rate of the battery is smaller than a preset rate threshold value. The embodiment of the invention can prolong the service life of the battery.

Description

Technical Field

[0001] This application relates to the field of vehicle technology, and in particular to a method, device, medium, and vehicle for maintaining a battery that has been idle for a long time. Background Technology

[0002] As a key component of new energy vehicles, the battery's performance has a crucial impact on the vehicle's range and lifespan. When a new energy vehicle is parked for an extended period, the battery is in an unloaded state, leading to irreversible capacity loss. This capacity degradation caused by prolonged parking not only reduces the battery's usable energy but may even prevent the vehicle from starting, causing significant inconvenience to users. Therefore, how to effectively maintain the battery during long-term parking in new energy vehicles has become an urgent problem to be solved.

[0003] Currently, while numerous attempts have been made to address battery management methods for new energy vehicles during long-term storage, the overall results remain unsatisfactory. Related battery management technologies often focus on a single factor or a specific aspect to solve the battery storage problem. For example, State of Charge (SOC) correction strategies only focus on adjusting the battery's SOC value, ignoring the various complex factors the battery faces during long-term storage. This singular battery management approach is ineffective in addressing capacity loss during long-term storage, leading to reduced battery lifespan. Summary of the Invention

[0004] This application provides a method, device, medium, and vehicle for maintaining a vehicle battery during long-term static storage, which can improve the battery's lifespan.

[0005] In a first aspect, embodiments of this application provide a method for maintaining a vehicle battery during long-term static storage, the method comprising:

[0006] Obtain the vehicle's operating status;

[0007] When the operating state is the target static state, monitor the current value of the target parameters of the vehicle's battery; the target parameters are parameters that affect the battery capacity; the static time of the target static state is greater than a preset time threshold.

[0008] If the current value does not match the expected value corresponding to the target parameter, a target operation is performed; the target operation is used to adjust the target parameter to match the expected value; wherein, when the target parameter is at the expected value, the battery capacity decay rate is less than a preset rate threshold.

[0009] Secondly, this application provides a battery maintenance device for vehicles that are left idle for extended periods, the device comprising:

[0010] The acquisition module is used to acquire the vehicle's operating status;

[0011] The monitoring module is used to monitor the current value of the target parameter of the vehicle's battery when the operating state is the target static state; the target parameter is a parameter that affects the battery capacity; the static time of the target static state is greater than a preset time threshold.

[0012] An execution module is configured to perform a target operation when the current value does not match the expected value corresponding to the target parameter; the target operation is configured to adjust the target parameter to match the expected value; wherein, when the target parameter is at the expected value, the battery capacity decay rate is less than a preset rate threshold.

[0013] Thirdly, embodiments of this application provide an electronic device, which includes: a processor and a memory storing computer program instructions;

[0014] When the processor executes computer program instructions, it implements a battery maintenance method for a vehicle that has been idle for a long time, as described in any of the embodiments of the first aspect.

[0015] Fourthly, embodiments of this application provide a computer storage medium storing computer program instructions, which, when executed by a processor, implement the battery maintenance method for a vehicle that has been idle for a long time, as described in any embodiment of the first aspect.

[0016] Fifthly, embodiments of this application provide a computer program product in which instructions, when executed by a processor of an electronic device, cause the electronic device to perform a battery maintenance method for a vehicle that has been sitting idle for a long time, as described in any of the embodiments of the first aspect above.

[0017] Sixthly, embodiments of this application also provide a vehicle, which includes at least one of the following:

[0018] Such as the battery maintenance device for vehicles that are left idle for a long time in the second aspect;

[0019] Such as electronic devices in the third aspect;

[0020] Such as the computer-readable storage medium in the fourth aspect.

[0021] Such as computer program products in the fifth aspect.

[0022] In the battery maintenance method, device, medium, and product for long-term vehicle idling provided in this application embodiment, the application first obtains the vehicle's operating status to determine whether the vehicle is in a target idling state, providing triggering conditions for subsequent battery management. After detecting that the vehicle is in the target idling state, the application comprehensively monitors the current values ​​of target parameters that affect battery capacity. Based on the monitoring results of the current values ​​of the target parameters, when it is found that the current value of the target parameter does not match the expected value corresponding to the target parameter, the corresponding target operation is executed. By adjusting the target parameters to the expected values, it is ensured that the battery capacity decay rate is less than a preset rate threshold, fundamentally reducing capacity loss during long-term idling. Therefore, battery performance degradation is effectively slowed down, and battery life is extended. Attached Figure Description

[0023] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 This is one of the flowcharts illustrating the battery maintenance method for vehicles that have been sitting idle for a long time, as provided in the embodiments of this application.

[0025] Figure 2 This is a graph showing the relationship between the resting time of a battery and its capacity loss rate under different states of charge, according to an embodiment of this application.

[0026] Figure 3 This is a graph showing the relationship between the battery's resting time and its capacity loss rate at different temperatures, according to an embodiment of this application.

[0027] Figure 4 This is a second schematic flowchart of the battery maintenance method for vehicles that have been sitting idle for a long time, provided in the embodiments of this application.

[0028] Figure 5 This is a schematic diagram of a battery maintenance device for vehicles that have been sitting idle for a long time, provided in an embodiment of this application.

[0029] Figure 6 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0030] To better understand the above-mentioned objectives, features, and advantages of this disclosure, the solutions disclosed herein will be further described below. It should be noted that, unless otherwise specified, the embodiments and features described herein can be combined with each other.

[0031] Numerous specific details are set forth in the following description in order to provide a full understanding of this disclosure, but this disclosure may also be implemented in other ways different from those described herein; obviously, the embodiments in the specification are only some, and not all, of the embodiments of this disclosure.

[0032] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the term "comprising" or any other variations thereof is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0033] In the field of new energy vehicles, the battery is a core component, and its performance directly determines the vehicle's range and lifespan. When a vehicle is parked for an extended period, the battery is in an unloaded state, resulting in irreversible capacity loss. This is mainly related to the following factors:

[0034] First, there's the self-discharge phenomenon. Even under no-load conditions, chemical reactions occur inside the battery, causing its charge to gradually decrease. This self-discharge process is irreversible, and over time, it leads to a continuous decline in battery capacity.

[0035] Secondly, there's the issue of electrolyte aging. Prolonged stagnation can cause changes in the chemical composition of the electrolyte, further accelerating the aging process of the battery's internal materials. Electrolyte aging not only reduces battery capacity but can also lead to safety problems such as leakage and short circuits.

[0036] Third, the impact of temperature changes. Fluctuations in ambient temperature have a significant impact on battery performance. In high-temperature environments, the rate of internal chemical reactions in the battery accelerates, exacerbating material wear; in low-temperature environments, the rate of internal chemical reactions slows down, internal resistance increases, and battery performance also deteriorates.

[0037] The capacity degradation caused by prolonged battery inactivity not only reduces the battery's usable energy but can also, in severe cases, prevent the vehicle from starting, causing significant inconvenience to users. Therefore, how to effectively maintain the battery during long periods of vehicle inactivity has become an urgent problem to be solved.

[0038] Currently, the technical solutions for long-term vehicle idling mainly focus on three aspects: low-voltage battery maintenance systems, SOC correction during long-term idling, and low-charge charging circuits.

[0039] (1) Regarding the low-charge charging circuit: When a battery becomes low-charged after being left idle for a long time, the charging and discharging circuit will not function properly. Previously, it was usually necessary to manually short-circuit the charging and discharging circuit to force charging, and the battery protection system could only resume operation after the battery voltage recovered. To address this issue, a low-charge charging circuit suitable for battery protection systems has been proposed. By setting up a low-charge charging circuit, a control circuit, and a power supply circuit, a low-charge charging circuit is added inside the battery protection system without changing its performance. When the battery becomes low-charged after being left idle for a long time, this circuit automatically starts to charge the battery. When the battery recovers and can supply power to the battery protection system, the low-charge charging circuit is disconnected, allowing the battery protection system to operate normally. However, this solution increases system complexity and cost due to the addition of extra hardware and complex control logic, and it is necessary to ensure that the new circuit operates safely and reliably with the original system.

[0040] (2) Low-voltage battery maintenance system: If a new energy vehicle is parked for too long, or if there are issues such as headlights being left on or doors not being closed properly, the low-voltage battery will be depleted, preventing the vehicle from starting. Under normal circumstances, a depleted low-voltage battery requires manual grounding to start the vehicle. To address this, related technologies send low-voltage battery warnings to users via applications, allowing for remote intelligent charging after user authorization, thus resolving the low-voltage battery depletion problem and ensuring normal vehicle operation. However, this method primarily targets the low-voltage system and is less effective for addressing the capacity degradation issues that occur in high-voltage power batteries during prolonged parking.

[0041] (3) Regarding SOC correction and testing methods: Due to self-discharge and other reasons, the actual residual state of charge (SOC) of lithium batteries in new energy vehicles will be less than the value at the moment of power-off after long-term storage. If the SOC is not corrected, the individual cell voltage may be too low after the vehicle has been running for a period of time, or even cause over-discharge of the battery, affecting battery safety. Especially for lithium iron phosphate batteries, when the SOC is greater than 20%, the linear relationship of its SOC-open circuit voltage (OCV) curve is not intuitive enough. Related technologies propose a long-term static storage SOC correction method and its testing method for lithium batteries: when the SOC is ≥20%, the SOC is subtracted at a rate of decrease of A (A ranges from 4.5% to 7.5%) every month of storage; when the SOC is <20%, the SOC is corrected by writing it according to the SOC-OCV curve. However, when the SOC level is below 20%, the open circuit voltage measurement requires a long storage time to accurately reflect the actual state of the battery, which is difficult to meet the real-time requirements. Furthermore, this method only focuses on SOC correction and fails to fully cover all the challenges related to long-term battery quiescence, such as the combined impact of temperature changes and electrolyte aging on battery performance.

[0042] In summary, although the relevant technical solutions have alleviated the problems caused by long-term static storage of vehicle batteries to some extent, each method has its limitations and scope of application.

[0043] In order to solve the problems existing in the related technologies, this application provides a method, device, medium and vehicle for battery maintenance when a vehicle is parked for a long time.

[0044] This application provides a method, apparatus, medium, and vehicle for maintaining a vehicle battery during long-term inactivity. The method for maintaining a vehicle battery during long-term inactivity, as provided in this application, will be described first. Figure 1 As shown, the method specifically includes the following steps:

[0045] S100: Obtain the vehicle's operating status.

[0046] Optionally, in this embodiment, "vehicle" refers to a vehicle equipped with a battery. "Operating state" refers to the current usage status of the vehicle, including but not limited to driving, being parked with the engine off, charging mode, and the activation status of loads (such as air conditioning, headlights, etc.). The operating state reflects whether the vehicle is in different working conditions, such as being active or stationary.

[0047] Optionally, in one feasible implementation of this application, the operating status can be determined by analyzing data from the Battery Management System (BMS). The BMS can record parameters such as the battery's charging and discharging current and voltage. When the battery's charging and discharging current remains at an extremely low level for a long time and the voltage does not fluctuate significantly, it indicates that the vehicle may be in a stationary state. If the current data shows that the battery is charging, it can be determined that the vehicle is in a charging operation state.

[0048] Furthermore, the vehicle can interact with external systems to obtain information using an in-vehicle communication module. The vehicle connects to a cloud server via 4G, 5G, or other communication technologies, uploading various status data. The cloud server, based on big data analysis and algorithm models, comprehensively assesses the vehicle's operating status and provides feedback to the vehicle. For example, if the vehicle remains stationary for an extended period and does not receive commands to start the engine or drive motor, the cloud server can determine that the vehicle is in a static state and transmit this information to the vehicle, allowing the vehicle to obtain its own operating status.

[0049] In addition, vehicle positioning systems, such as GPS and BeiDou, can be used to determine the vehicle's operating status by monitoring changes in its geographical location in real time. If the vehicle's location remains unchanged for an extended period and the positioning data accuracy meets the requirements for a stationary state, the vehicle can be considered stationary. Conversely, if the location information is frequently updated and the displacement distance reaches a certain threshold, it indicates that the vehicle is in motion. By combining multiple methods, the vehicle's operating status can be obtained more accurately and comprehensively, providing a reliable basis for subsequent battery management operations.

[0050] S200, when the operating state is the target static state, monitor the current value of the target parameter of the vehicle's battery; the target parameter is a parameter that affects the battery capacity; the static time of the target static state is greater than a preset time threshold.

[0051] Optionally, in this embodiment, the target static state refers to a specific static condition in which the vehicle is stationary and the continuous static time exceeds a preset time threshold, i.e., the vehicle is in a long-term static state. In this state, the vehicle has not been used for a long time, is stationary, and there are no obvious external factors interfering with the battery's state, such as the vehicle being parked in a parking lot for an extended period. This state is important because during long-term static periods, the battery may experience changes that affect its capacity, requiring monitoring and management.

[0052] The stationary time refers to the duration during which a vehicle remains stationary. The stationary time is the time elapsed from the moment the vehicle enters a stationary state until the current moment.

[0053] Target parameters are parameters that affect the capacity of a vehicle's battery. These parameters may include battery voltage, current, temperature, and state of charge (SOC). For example, excessively high or low battery temperatures may accelerate internal chemical reactions, thus affecting battery capacity; conversely, prolonged periods of excessively high or low SOC can also adversely impact battery life and capacity. By monitoring and controlling these target parameters, batteries can be better managed, extending their lifespan and maintaining their performance.

[0054] The current value of a target parameter refers to the actual value of the target parameter as monitored in real time when the target is in a static state. For example, if the battery voltage is 3.8V, the current is 0.1A, and the temperature is 25℃ at a certain moment, these specific values ​​are the current values ​​of the target parameter. By comparing the current value with the expected value, it can be determined whether the battery is in normal condition and whether corresponding measures need to be taken to adjust the battery parameters.

[0055] Optionally, in one feasible implementation of this application, the target parameters can be monitored in real time using a sensor network built into the vehicle. For example, a temperature sensor can be used to directly measure the temperature of the battery surface or interior, and the collected temperature data can be transmitted to the battery management system; a voltage sensor can monitor the battery's output voltage in real time, and a current sensor can continuously record the battery's charging and discharging current. These sensors can quickly and accurately obtain the battery's basic parameter information. For the state of charge (SOC), algorithms such as the ampere-hour integral method, open-circuit voltage method, or Kalman filtering can be used to calculate the current SOC value based on data such as the battery's charging and discharging current, voltage, and internal resistance. When the vehicle's operating state is determined to be a target idle state (i.e., the idle time is greater than a preset time threshold), these sensors will continue to work, providing real-time data support for subsequent battery management.

[0056] In one embodiment, obtaining the vehicle's operating status includes:

[0057] Obtain the historical charge and discharge data of the battery from the cloud server;

[0058] The step of monitoring the current values ​​of the target parameters of the vehicle's battery when the operating state is the target static state includes:

[0059] Obtain the timestamp corresponding to the most recent charge / discharge data from the battery's historical charge / discharge data;

[0060] If the time interval between the timestamp and the current time is greater than the preset time threshold, the vehicle's operating state is determined to be the target stationary state, and the current value of the target parameters of the vehicle's battery is monitored.

[0061] Optionally, in one specific implementation of this application, the determination of vehicle operating status and monitoring of battery parameters can be achieved through cloud data collaboration. First, a connection is established with the cloud server through the vehicle's communication module to request historical charge and discharge data of the vehicle's battery. This historical charge and discharge data includes key information such as the start and end times of each charge and discharge, changes in charge level, and temperature curves. The cloud server retrieves and returns the corresponding dataset based on the vehicle's unique identifier.

[0062] The vehicle extracts the timestamp of the most recent charge / discharge event from the acquired historical charge / discharge data. This timestamp precisely records the end time of the last charge / discharge operation of the battery. The vehicle then compares this timestamp with the current time to calculate the time interval between the two. If this time interval exceeds a preset time threshold (e.g., 15 days, which can be adjusted according to vehicle type or user habits), the vehicle is determined to be in a target idle state, meaning it has not undergone charge / discharge operations for an extended period and may be parked or stored.

[0063] Once the vehicle has entered the target stationary state, it immediately activates the battery monitoring mode, using onboard sensors to collect real-time values ​​of target battery parameters, such as state of charge and battery temperature. These parameters are compared with preset thresholds or expected values ​​to promptly detect battery anomalies.

[0064] In these optional embodiments, historical charge and discharge data of the battery are obtained from a cloud server, and the interval between the most recent charge and discharge timestamp and the current time is used to determine the resting state. This can automatically and accurately identify whether the vehicle is parked for a long period of time. Once the target resting state is determined, monitoring the target battery parameters can promptly detect problems such as abnormal power loss and excessive temperature that may occur during the resting period. This allows for proactive measures to optimize battery management, avoid battery performance degradation or safety hazards caused by long-term resting, effectively extend battery life, and improve the scientific and reliable nature of battery lifecycle management.

[0065] S300, if the current value does not match the expected value corresponding to the target parameter, a target operation is performed; the target operation is used to adjust the target parameter to match the expected value; wherein, when the target parameter is at the expected value, the capacity decay rate of the battery is less than a preset rate threshold.

[0066] Optionally, in this embodiment, the expected value refers to the ideal value of the target parameter. The expected value can be determined based on factors such as battery characteristics, design requirements, and long-term usage experience. Under this expected value, the battery's capacity decay rate can be less than a preset rate threshold, which helps maintain the battery's performance and lifespan. For example, the optimal operating temperature of the battery may be set to 25°C, which is the expected value of the target parameter of temperature.

[0067] For example, under the target resting state, the expected value of SOC will vary depending on the resting time and the current SOC level. As the resting time gradually increases, the expected value of SOC can decrease accordingly. 50% SOC is the ideal SOC for long-term resting of electric vehicles, as this value can significantly reduce battery self-discharge and chemical side reaction rates. Therefore, the SOC adjustment strategy in this application ultimately focuses on 50%. By adjusting the expected value in stages and dynamically, it is possible to better adapt to the battery's needs under different resting states, effectively reduce the battery capacity decay rate, and ensure the battery's performance and lifespan during long-term resting. It should be noted that the dynamic expected value here is not arbitrarily set, but is based on a large amount of experimental data and theoretical analysis. Through systematic research on the capacity decay characteristics of batteries under different resting times and states of charge, combined with the principles of battery material characteristics and chemical reaction kinetics, a mathematical model was constructed and repeatedly verified to finally determine the expected value of the state of charge corresponding to each resting stage. The process of setting the expected value fully considers key factors affecting capacity decay, such as battery self-discharge and electrolyte aging, to ensure that the battery capacity decay rate can meet the preset rate threshold requirements under the expected value at each resting stage.

[0068] Optionally, target operation refers to a series of measures taken to adjust the target parameter to match the expected value when the current value of the target parameter does not match the expected value. These operations can be executed based on the control strategy of the battery management system. For example, when the battery temperature is too high, the target operation may be to start the cooling fan to cool it down; when the battery state of charge is too high, the target operation may be to start the discharge program to discharge it. Through these operations, the target parameter is brought back to the expected value to ensure the healthy operation of the battery.

[0069] Optionally, in one feasible implementation of this application, if the target parameter is SOC, the charging process is automatically initiated when the battery SOC is detected to be lower than the expected value (e.g., SOC < 50% after long-term inactivity). The charger is controlled by the Battery Management System (BMS) to charge the SOC to the expected value using a constant current-constant voltage mode. For example, if the expected value is 60%, charging will automatically stop after reaching this threshold. If the SOC is higher than the expected value (e.g., > 80%), the battery is discharged by turning on the on-board load (e.g., air conditioning, heater) until the SOC drops to the expected value. During this process, the BMS monitors battery temperature, voltage, and other parameters in real time to prevent overcharging and over-discharging.

[0070] In another feasible implementation of this application, if the target parameter is battery temperature, when the battery temperature deviates from the expected value (e.g., the optimal operating temperature of 25℃±5℃), a liquid cooling / liquid heating system is activated to regulate the temperature. For example, at high temperatures, heat is dissipated through coolant circulation, and at low temperatures, the battery is preheated by a heater. During this process, the temperature control strategy can also be dynamically adjusted according to the battery's State of Charge (SOC). For example, when the SOC is high and the temperature exceeds 30℃, heat dissipation is prioritized to reduce the self-discharge rate; when the SOC is low and the temperature is below 0℃, the battery is preheated to improve charge and discharge efficiency.

[0071] Through the above implementation, the battery management method of this application can dynamically execute target operations according to different scenarios and parameters, ensuring that the capacity decay rate of the battery during long-term static storage is always lower than a preset threshold, effectively extending the battery life. For example, by maintaining the SOC in the optimal range through intelligent charge and discharge control, and combining it with a thermal management system to keep the battery temperature stable, a multi-dimensional battery protection mechanism is formed.

[0072] In a battery maintenance method for a vehicle during long-term static storage provided in this application embodiment, the method first obtains the vehicle's operating status to determine whether the vehicle is in a target static state, providing triggering conditions for subsequent battery management. After detecting that the vehicle is in the target static state, the method comprehensively monitors the current values ​​of target parameters that affect battery capacity. Based on the monitoring results of the current values ​​of the target parameters, when it is found that the current value of the target parameter does not match the expected value corresponding to the target parameter, the corresponding target operation is executed. By adjusting the target parameters to the expected values, it is ensured that the battery capacity decay rate is less than a preset rate threshold, fundamentally reducing capacity loss during long-term static storage. Therefore, battery performance degradation is effectively slowed down, and battery life is extended.

[0073] In one embodiment, the target parameter includes the state of charge of the battery; the target resting state includes at least two resting states;

[0074] The method further includes:

[0075] Obtain the relationship between the resting time of the battery and the capacity loss rate of the battery under different states of charge;

[0076] Based on the aforementioned relationship, the expected values ​​of the battery under different states of charge and under different resting states are determined.

[0077] Optionally, in one specific implementation of this application, the first step involves obtaining the relationship between the battery's resting time and its capacity loss rate under different states of charge. This relationship can be determined using a calendar aging capacity decay model for lithium-ion batteries, which is as follows:

[0078]

[0079] Among them, Q loss A represents the percentage of battery capacity degradation. soc Pre-exponential factor related to SOC; E a ν is the activation energy, J / mol; R is the gas constant, J / (mol·K); T is the temperature, K; t is the time, d; z is the power factor.

[0080] In a laboratory setting, multiple sets of experiments were conducted to simulate different conditions. To investigate the effects of different states of charge (SOCs), the batteries were set to 30%, 50%, 65%, 80%, and 100% SOC at a constant ambient temperature (e.g., 25°C). The results were then recorded with respect to resting time (in ×10⁻⁶). 5 As time scales (s) advance, battery capacity loss rate (Q) loss The changes in ) are just like Figure 2 As observed, the higher the initial SOC, the greater the capacity loss. This is because the internal chemical activity of the battery is higher at high SOC, accelerating the aging process. SOC = 50% is a more ideal state that balances battery capacity retention and performance stability.

[0081] For the study of the effect of temperature, the SOC was fixed at 50%, and different ambient temperatures were set, such as 10℃, 15℃, 25℃, 35℃, and 40℃. The capacity loss rate was recorded as the settling time varied. Figure 3 As shown, the higher the temperature, the greater the capacity loss. Therefore, high-temperature environments (such as 35℃ or 40℃) will significantly accelerate battery aging. Through the accumulation of a large amount of such experimental data, and by using data analysis methods, such as regression analysis, the data can be fitted to clarify the specific quantitative relationship between resting time and capacity loss rate under different states of charge.

[0082] Next, the expected value is determined based on the relationships obtained above. Capacity retention and performance stability are comprehensively considered according to actual application requirements and battery performance assurance requirements. For example, given that SOC = 50% is considered ideal, when formulating battery management strategies, for different resting states (different combinations of duration and temperature), the target is to ensure that the battery capacity decay rate is below a preset threshold under these states. Referring to the obtained relationships, a suitable expected state of charge (SOC) value is determined. If the battery is at a high temperature (e.g., 35°C) and resting for a long time, the expected SOC value may be set at a lower level, such as 50%, to control capacity loss; while at a low temperature (e.g., 10°C) and resting for a short time, the expected SOC value can be appropriately increased. In this way, the expected values ​​corresponding to different SOC states and different resting states can be determined, providing a key basis for subsequent battery management operations and achieving effective control of battery aging and performance optimization.

[0083] Alternatively, in other embodiments, it is known that the longer the battery is left idle under different states of charge (SOC), the greater the capacity loss rate tends to be. Based on the ideal state of SOC of 50%, when formulating a battery management strategy, an acceptable preset threshold for battery capacity degradation rate can be first defined. For different SOC states, such as 30%, 50%, and 80%, the capacity loss rate as a function of idle time can be studied.

[0084] If, under a certain state of charge (SOC), the capacity loss rate approaches or exceeds a preset threshold as the resting time increases, the expected value for that SOC needs to be adjusted. For example, when the SOC is 80%, based on previously obtained relationships, it is known that after a certain resting time (let's say X days), the capacity loss rate will exceed the preset threshold. To ensure that the battery capacity degradation rate remains below this threshold, it may be necessary to reduce the expected value for that SOC, such as adjusting it from 80% to 70%. Conversely, if, under a certain SOC (e.g., 30%), even with a long resting time, the capacity loss rate remains far below the preset threshold and meets the battery performance stability requirements, then under this resting state, the expected value for the SOC can be appropriately increased, such as to 50%.

[0085] In these alternative embodiments, by adjusting the expected value of the state of charge for different resting times based on the relationship between the battery's resting time and capacity loss rate under different states of charge, combined with a preset capacity decay rate threshold, the expected value of the battery under different states of charge and different resting times can be determined. This provides a key basis for the reasonable control of battery status and the delay of battery aging in subsequent battery management, and ensures the stability and reliability of battery performance.

[0086] In one embodiment, the target static state includes at least two static states; the static time corresponding to different static states is different, and the static time corresponding to adjacent static states is continuous;

[0087] The target parameters include the state of charge of the battery; the expected value of the state of charge is different under different resting states, and the expected value of the state of charge under different resting states is negatively correlated with the resting time corresponding to the resting state.

[0088] If the current state of charge of the battery is greater than or equal to a first threshold, the execution of the target operation includes:

[0089] Determine whether the number of charge-discharge cycles of the battery during the i-th time period is 0; the i-th time period is the resting time corresponding to the i-th resting state among the at least two resting states; i is a positive integer;

[0090] If the number of charge-discharge cycles of the battery during the i-th time period is 0, determine whether the current state of charge is greater than the state of charge threshold corresponding to the i-th resting state.

[0091] If the current state of charge is greater than the state of charge threshold corresponding to the i-th resting state, the battery is discharged to the expected value of the state of charge corresponding to the i-th resting state.

[0092] If the current state of charge is less than or equal to the state of charge threshold corresponding to the i-th resting state, i is updated to i+1, and the process of determining whether the number of charge and discharge cycles of the battery in the i-th time period is 0 is returned until the current state of charge matches the expected value of the state of charge in the current resting state.

[0093] Among them, the time length of the (i+1)th time period is greater than the time length of the ith time period, and the charge state threshold corresponding to the (i+1)th static state is less than the charge state threshold corresponding to the ith static state.

[0094] Optionally, in this embodiment, the different resting times corresponding to different resting states mean that multiple different resting time periods are set to observe the battery status throughout the battery management process. The consecutive resting times corresponding to adjacent resting states indicate that these different resting time periods are arranged sequentially and gradually increase, like a staircase. For example, the first resting state may range from 0 to 15 days, the second resting state may begin on day 15 and end on day 30, the third resting state may begin on day 30 and continue until day 60, and so on. There is no time interval between each adjacent resting state, and the duration of each subsequent resting state is longer than the previous one. This setup helps to systematically study the performance changes of the battery under different resting periods, providing more comprehensive data support for formulating reasonable battery management strategies.

[0095] The different expected values ​​of the state of charge (SOC) under different resting conditions refer to the fact that the internal physical and chemical changes of the battery vary during different resting periods. Therefore, for each different resting condition, there is a corresponding ideal SOC value (i.e., expected value). For example, under a shorter resting period, the battery does not need to adjust its SOC to a very low level to maintain good performance. However, under a longer resting period, in order to prevent excessive aging or other problems, the SOC needs to be controlled at a relatively low level. This lower level is the expected SOC value under the longer resting condition.

[0096] The negative correlation between the expected value of the state of charge (SOC) under different resting states and the corresponding resting time further illustrates that the longer the resting time, the lower the expected SOC; conversely, the shorter the resting time, the higher the expected SOC. This is because as the resting time increases, internal chemical reactions and self-discharge cause the battery capacity to gradually decrease. To reduce the impact of this decrease on battery performance, the SOC needs to be kept at a low level. For example, under a 15-day resting state, the expected SOC can be 60%, while under a 60-day resting state, the expected SOC can be reduced to 50%. This negative correlation is based on research into battery characteristics and practical experience, and helps to optimize battery management strategies and extend battery life.

[0097] Optionally, in one specific implementation of this application, the target operation is initiated when the current state of charge (SOC) of the battery is greater than or equal to a first threshold (e.g., 10%). First, it is determined whether the number of charge / discharge cycles within the i-th time period is zero, where the i-th time period is the resting time corresponding to the i-th resting state. For example, when i = 1, it is checked whether the number of charge / discharge cycles within 0-15 days is zero. If the number of charge / discharge cycles is zero, it is determined whether the current SOC is greater than the SOC threshold corresponding to the i-th resting state. Assuming the SOC threshold is 90% during the 0-15 day resting state, if the current SOC is greater than 90%, the battery is discharged to the expected value of 80% corresponding to that resting state.

[0098] If the current state of charge (SOC) is less than or equal to the SOC threshold corresponding to the i-th resting state, then i is updated to i+1, and the process of determining whether the battery's charge-discharge count in the i-th time period is 0 is returned. For example, when i=2, the process checks whether the battery's charge-discharge count in 15-30 days is 0, and then repeats the above judgment and operation process until the current SOC matches the expected value corresponding to the current resting state.

[0099] Through this cyclical process, the battery's state of charge can be dynamically adjusted based on its resting time and current state of charge, ensuring that it approaches or reaches the desired value under different resting conditions. This effectively controls the rate of battery capacity decay and extends the battery's lifespan.

[0100] For example, when the State of Charge (SOC) is not lower than 10%, the system checks if the number of charge / discharge cycles within 15-30 days is 0. If it is 0, the vehicle is considered to be in a long-term idle state. Based on this, if the SOC is greater than 90%, the system activates load devices such as the air conditioner to discharge the battery until the SOC drops to 80%. If the SOC is less than 90%, the system further checks the number of charge / discharge cycles within 30-60 days. If it is still 0, and the SOC is greater than 80%, the system adjusts the SOC to 60% again through load discharge. If the SOC is less than or equal to 80%, the system continues to check the number of charge / discharge cycles over 60 days. If the number is 0, and the SOC is greater than 50%, the system discharges the battery to 50%. If the SOC is less than or equal to 50%, the battery enters a dormant state to reduce self-discharge losses.

[0101] It should be noted that the percentages of 90%, 80%, 60%, and 50% in the above process, as well as the time ranges of 30-60 days and more than 60 days, are just examples for easy understanding. In practice, they can be optimized and adjusted based on battery capacity decay experimental data under different resting periods, states of charge, and historical usage data to ensure that during each resting stage, when the battery's state of charge reaches the expected value, its capacity decay rate is always lower than the preset rate threshold. This achieves refined management of the battery throughout its entire life cycle and extends its service life.

[0102] In these alternative embodiments, by setting at least two resting states with consecutive resting times, the system can monitor the battery's state under different resting durations. By determining the number of charge / discharge cycles and the state of charge (SCC), and adjusting battery discharge accordingly, the SCC can be dynamically maintained within a suitable range. Cyclic operation until the SCC matches the desired value ensures the battery maintains good performance in all resting states, avoids overcharging or discharging, extends battery life, improves the precision and effectiveness of battery management, and ensures stable battery operation under different resting states.

[0103] In one embodiment, when the current state of charge of the battery is less than the first threshold, performing the target operation includes:

[0104] Send a first reminder message to the user terminal, the first reminder message being used to remind the user to charge the battery;

[0105] When the battery triggers the charging process, the battery is controlled to charge to the desired value corresponding to the state of charge.

[0106] Optionally, in one specific implementation of this application, when the battery's current state of charge is less than a first threshold (e.g., set to 10%, this value can be flexibly adjusted according to actual conditions), the vehicle will send a first reminder message to the user terminal, such as through a mobile app, in-vehicle display screen, etc., to inform the user that the battery power is too low and needs to be charged in time. The purpose of this is to let the user know the battery status so that they can take timely charging measures and avoid irreversible performance loss caused by over-discharge of the battery.

[0107] When the battery triggers the charging process, such as when a user connects the vehicle to a charging station, the battery management system (BMS) controls the charging to the desired state of charge (SOC) based on the battery's current SOC, type, and usage. (For example, charging may stop at 50%, and this desired SOC can be adjusted based on actual conditions.) During this process, the BMS monitors various battery parameters in real time, such as voltage, current, and temperature, to ensure safe and efficient charging. If any abnormalities are detected during charging, such as excessively high temperature or unstable voltage, the system automatically adjusts the charging strategy, such as reducing the charging current or pausing charging until the abnormality is resolved, until the battery reaches the desired SOC, thus ensuring battery performance and lifespan.

[0108] In these optional embodiments, when the battery's current state of charge is less than a first threshold, a charging reminder is sent to promptly inform the user of the low battery level, preventing irreversible damage from over-discharge. After the battery triggers the charging process, controlling the charging to the desired state of charge ensures that the battery is not overcharged and maintains its performance. Through this series of operations, the battery is effectively protected, its lifespan extended, and its safety and reliability improved. Simultaneously, it allows users to stay informed about the battery status, ensuring the normal operation of the vehicle.

[0109] In one embodiment, the target parameter includes the battery temperature of the battery;

[0110] The target operation to be performed includes:

[0111] If the current battery temperature of the battery is maintained for a preset time for a preset time that is greater than or equal to a preset temperature threshold, and if the current state of charge of the battery is less than or equal to a second threshold, then the battery is charged and the battery temperature of the battery is reduced to the desired value by the cooling system of the vehicle.

[0112] If the current battery temperature remains above or equal to the preset temperature threshold for the preset time, and if the battery's state of charge is greater than the second threshold, then the vehicle's cooling system will reduce the battery temperature to the desired value.

[0113] Optionally, in one specific implementation of this application, the vehicle monitors the current temperature of the battery in real time through an on-board temperature sensor. When the current battery temperature remains above or equal to a preset temperature threshold (e.g., 35°C, which can be set in conjunction with the high-temperature resistance performance of the battery material) for a preset time (e.g., 2 hours, the duration of which can be adjusted according to the battery characteristics), a corresponding management mechanism is triggered.

[0114] If the battery's current state of charge (SOC) is less than or equal to a second threshold (e.g., 30%, which can be determined based on battery capacity and usage requirements), the vehicle can automatically initiate the charging process and activate the vehicle's cooling system. During charging, the cooling system continuously operates, removing heat generated by the battery through coolant circulation or air cooling, gradually reducing the battery temperature to the desired value (e.g., 25°C, which is the optimal temperature range for battery performance). Throughout this process, the battery management system monitors charging current, voltage, and temperature changes in real time, dynamically adjusting the charging rate and cooling intensity to ensure the battery operates within a safe temperature and charge range.

[0115] If the current battery temperature consistently exceeds a preset temperature threshold, and the battery's state of charge (SOC) is greater than a second threshold, the vehicle directly activates its cooling system. This system lowers the battery temperature to the desired level by circulating coolant or increasing the power of the cooling fan. During the cooling process, the vehicle continuously monitors temperature data. Once the battery temperature reaches the desired level, the cooling system automatically shuts off to prevent excessive cooling and energy waste. This entire process, through dual assessment and coordinated control of battery temperature and SOC, effectively prevents the impact of high temperatures on battery life, improving battery safety and reliability.

[0116] Optionally, in other embodiments, the vehicle will also respond when the battery temperature is below the suitable operating temperature (e.g., below 5°C, which can be adjusted according to the battery's low-temperature performance). If the battery's current state of charge is sufficient, the system will activate the vehicle's heating device to gradually raise the battery temperature to the desired value (e.g., 25°C) by heating the coolant or directly heating the battery module. If the state of charge is low, the vehicle will prioritize reminding the user to charge, and simultaneously activate the heating function during charging to allow the battery temperature to rise to the desired value. This entire process, through dual judgment and coordinated control of battery temperature and state of charge, effectively addresses the impact of high and low temperature environments on battery life, improving battery safety and reliability.

[0117] In these alternative embodiments, when the battery remains at a high temperature, a dynamic adjustment strategy is implemented based on the state of charge (SOC): when the SOC is low, charging is performed while cooling is applied to avoid the risks associated with low-temperature charging; when the SOC is high, cooling is applied directly to prevent high temperatures from accelerating battery aging. By precisely controlling the temperature at the desired value through the cooling system, the internal chemical reactivity of the battery can be effectively reduced, capacity decay and internal resistance increase can be minimized, and battery life can be extended.

[0118] In one embodiment, the target parameter includes the battery temperature of the battery;

[0119] The method further includes:

[0120] If the current battery temperature remains greater than or equal to a preset temperature threshold for a preset period of time, a second reminder message is sent to alert the user that the battery temperature is abnormal.

[0121] If the number of times the second reminder message is sent reaches a preset number, a third reminder message is sent, which is used to remind the user to move the car.

[0122] Optionally, in one specific implementation of this application, the vehicle can monitor the current temperature of the battery in real time through an on-board temperature sensor. When the current battery temperature remains higher than or equal to a preset temperature threshold (e.g., 40°C) for a preset time (e.g., 2 hours), the vehicle immediately sends a second reminder message to the user terminal. This message can be sent via a mobile app or voice broadcast to clearly inform the user of the abnormal battery temperature and remind the user to pay attention to the battery status in a timely manner to avoid battery performance degradation or safety hazards caused by high temperature.

[0123] The vehicle uses a time window mechanism to record the number of times a second reminder message is sent. For example, the number of reminders is recorded cumulatively over seven days. When the number reaches a preset value (e.g., 5 times), it indicates that the battery has been in a high-temperature state for an extended period without effective improvement. At this point, the vehicle will send a third reminder message. This third reminder message can be sent via SMS, phone call, or a strong reminder through the app, advising the user to move the vehicle as soon as possible to improve battery heat dissipation.

[0124] In implementation, this judgment logic can be triggered solely based on battery temperature, or it can be combined with the ambient temperature of the vehicle's surroundings. When the ambient temperature exceeds a certain threshold and both the battery temperature and the ambient temperature are abnormal, the priority of the alert is increased to ensure that the user takes timely action. For example, by using an onboard temperature sensor to monitor the battery temperature and the ambient temperature in real time, if the current battery temperature remains above or equal to a preset temperature threshold for a preset time, and the ambient temperature is also in the high-temperature range, a second alert is sent to the user via a mobile app, clearly informing the user of the abnormal battery temperature and prompting them to pay attention to the battery status to avoid performance degradation or potential safety risks due to high temperatures.

[0125] In these optional embodiments, a tiered early warning mechanism effectively ensures battery safety and performance. When the battery temperature consistently exceeds a threshold, a second alert is promptly sent, allowing users to quickly become aware of the battery abnormality and take preventative measures to avoid damage from high temperatures. When the number of alerts for the same abnormal condition reaches a preset value, a third alert is sent suggesting moving the vehicle, further preventing irreversible battery aging or safety risks caused by sustained high temperatures. This phased, progressive alert strategy avoids frequent interruptions to users while reinforcing warnings at critical points, enabling precise control over battery temperature risks, extending battery life, and improving safety.

[0126] It should be noted that the various optional implementation methods described in the embodiments of this application can be combined with each other or implemented individually without conflict, and the embodiments of this application do not limit this.

[0127] To facilitate understanding of the battery maintenance method for vehicles that have been sitting idle for a long time, the following describes the battery maintenance method for vehicles that have been sitting idle for a long time using a specific scenario example.

[0128] Optionally, in this embodiment, a battery maintenance system integrating an intelligent monitoring system, an intelligent charge / discharge management system, and a temperature adaptive management system is constructed. This system can dynamically adjust the State of Charge (SOC) and temperature to the optimal resting state, thereby effectively extending battery life. Specifically, the intelligent monitoring system uploads charge / discharge data and ambient temperature data to a cloud server in real time via the vehicle communication module, and statistically analyzes the number of charging and discharging cycles to determine whether the vehicle is in a long-term resting state. The intelligent charge / discharge management system periodically checks the battery SOC level. When the SOC exceeds a preset threshold, it automatically activates the charge / discharge function to adjust the SOC to the ideal state of 50%. The temperature adaptive management system monitors the ambient temperature in real time through vehicle sensors. When the temperature exceeds a preset threshold, it automatically activates the thermal management function to regulate the battery temperature, ensuring that it operates within the optimal range. Through the coordinated work of these three systems, the system can significantly reduce the aging rate of the battery during long-term resting, improving battery safety and lifespan.

[0129] Specifically, such as Figure 4 As shown, the vehicle's Battery Management System (BMS) first synchronizes data to a cloud server. The intelligent monitoring system then retrieves data from the cloud server to count the number of battery charge and discharge cycles, with an update cycle of 30 days. If the number of charge and discharge cycles is 0, the vehicle is determined to be in a long-term idle state; otherwise, it is in a dormant state.

[0130] Regarding intelligent charging and discharging management, when the BMS detects that the vehicle has been in a long-term idle state and the battery state of charge (SOC) is less than 10%, the system sends a charging reminder to the user terminal. After user confirmation, charging begins and stops when the SOC reaches 50%. If the SOC is greater than or equal to 10%, the system checks if the vehicle's charge / discharge cycles within 15-30 days are zero. If the cycles are zero and the SOC is greater than 90%, the air conditioning is turned on to discharge the battery until the SOC drops to 80%. If the SOC is less than or equal to 90%, the system checks if the vehicle's charge / discharge cycles within 30-60 days are zero. If the cycles are zero and the SOC is greater than 80%, the air conditioning is turned on to discharge the battery until the SOC reaches 60%. If the SOC is less than or equal to 80%, the system checks if the vehicle's charge / discharge cycles within more than 60 days are zero. If the cycles are zero and the SOC is greater than 60%, the air conditioning is turned on to discharge the battery until the SOC reaches 50%. Otherwise, the vehicle remains in a dormant state.

[0131] Regarding temperature adaptive management, the cooling device automatically activates when the battery temperature reaches or exceeds 35°C and remains above threshold A for an extended period. If the State of Charge (SOC) is less than 30% at this time, the system sends a charging gun reminder. Cooling is achieved through the charging gun, and the cooling device shuts off when the battery temperature drops to 25°C. The entire process is coordinated by an intelligent monitoring system, with intelligent charge / discharge management and temperature adaptive management working in tandem. Based on key parameters such as battery SOC, charge / discharge cycles, and temperature, the system dynamically adjusts management strategies to ensure safe and stable battery operation under various conditions, extending battery life and enhancing the intelligence level of vehicle battery management.

[0132] Figure 5 A schematic diagram of a battery maintenance device for long-term vehicle idling is shown according to another embodiment of this application. For ease of explanation, only the parts related to the embodiments of this application are shown.

[0133] Reference Figure 5 Battery maintenance devices for vehicles that are left idle for extended periods may include:

[0134] The acquisition module 501 is used to acquire the vehicle's operating status;

[0135] The monitoring module 502 is used to monitor the current value of the target parameter of the vehicle's battery when the operating state is the target static state; the target parameter is a parameter that affects the battery capacity; the static time of the target static state is greater than a preset time threshold.

[0136] The execution module 503 is used to perform a target operation when the current value does not match the expected value corresponding to the target parameter; the target operation is used to adjust the target parameter to match the expected value; wherein, when the target parameter is at the expected value, the capacity decay rate of the battery is less than a preset rate threshold.

[0137] It should be noted that the information interaction and execution process between the above-mentioned devices / units are based on the same concept as the method embodiments of this application, and are devices corresponding to the above-mentioned methods. All implementation methods in the above-mentioned method embodiments are applicable to the embodiments of this device. For details on its specific functions and the technical effects it brings, please refer to the method embodiment section, which will not be repeated here.

[0138] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0139] Figure 6 A schematic diagram of the hardware structure of the electronic device provided in an embodiment of this application is shown.

[0140] The device may include a processor 601 and a memory 602 storing program instructions.

[0141] When the processor 601 executes the program, it implements the steps in any of the above method embodiments.

[0142] For example, the program can be divided into one or more modules / units, one or more of which are stored in memory 602 and executed by processor 601 to complete this application. The one or more modules / units can be a series of program instruction segments capable of performing a specific function, which describe the execution process of the program in the device.

[0143] Specifically, the processor 601 may include a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits that can be configured to implement the embodiments of this application.

[0144] Memory 602 may include mass storage for data or instructions. For example, and not limitingly, memory 602 may include a hard disk drive (HDD), floppy disk drive, flash memory, optical disk, magneto-optical disk, magnetic tape, or Universal Serial Bus (USB) drive, or a combination of two or more of these. Where appropriate, memory 602 may include removable or non-removable (or fixed) media. Where appropriate, memory 602 may be internal or external to the integrated gateway disaster recovery device. In a particular embodiment, memory 602 is non-volatile solid-state memory.

[0145] Memory may include read-only memory (ROM), random access memory (RAM), disk storage media devices, optical storage media devices, flash memory devices, and electrical, optical, or other physical / tangible memory storage devices. Therefore, typically, memory includes one or more tangible (non-transitory) readable storage media (e.g., memory devices) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors), it is operable to perform the operations described with reference to the methods according to one aspect of this disclosure.

[0146] The processor 601 implements any of the methods described in the above embodiments by reading and executing program instructions stored in the memory 602.

[0147] In one example, the electronic device may also include a communication interface 603 and a bus 610. The processor 601, memory 602, and communication interface 603 are connected via the bus 610 and communicate with each other.

[0148] The communication interface 603 is mainly used to realize communication between various modules, devices, units and / or equipment in the embodiments of this application.

[0149] Bus 610 includes hardware, software, or both, that couples components of an online data traffic metering device together. For example, and not limitingly, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an Infinite Bandwidth Interconnect, a Low Pin Count (LPC) bus, a memory bus, a Microchannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local (VLB) bus, or other suitable buses, or combinations of two or more of these. Where appropriate, bus 610 may include one or more buses. Although specific buses are described and illustrated in embodiments of this application, any suitable bus or interconnect is contemplated herein.

[0150] Furthermore, in conjunction with the methods in the above embodiments, this application embodiment can provide a storage medium for implementation. This storage medium stores program instructions; when these program instructions are executed by a processor, they implement any of the methods in the above embodiments.

[0151] This application also provides a chip, which includes a processor and a communication interface. The communication interface and the processor are coupled. The processor is used to run programs or instructions to implement the various processes of the above method embodiments and achieve the same technical effect. To avoid repetition, it will not be described again here.

[0152] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.

[0153] This application provides a computer program product, which is stored in a storage medium and executed by at least one processor to implement the various processes of the above method embodiments and achieve the same technical effects. To avoid repetition, it will not be described again here.

[0154] It should be clarified that this application is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of this application is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order of steps, after understanding the spirit of this application.

[0155] The functional modules shown in the above block diagram can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application-specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of this application are programs or code segments used to perform the required tasks. Programs or code segments can be stored on machine-readable media or transmitted over a transmission medium or communication link via data signals carried on a carrier wave. "Machine-readable media" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, etc. Code segments can be downloaded via computer grids such as the Internet, intranets, etc.

[0156] It should also be noted that the exemplary embodiments mentioned in this application describe methods or systems based on a series of steps or apparatus. However, this application is not limited to the order of the above steps; that is, the steps can be performed in the order mentioned in the embodiments, or in a different order, or several steps can be performed simultaneously.

[0157] The aspects of this disclosure have been described above with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and program products according to embodiments of this disclosure. It should be understood that each block in the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to create a machine such that these instructions, executable via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions / actions specified in one or more blocks of the flowchart illustrations and / or block diagrams. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field-programmable logic circuit. It is also understood that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can also be implemented by special-purpose hardware performing the specified functions or actions, or can be implemented by a combination of special-purpose hardware and computer instructions.

[0158] The above are merely specific embodiments of this application. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, modules, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. It should be understood that the protection scope of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the protection scope of this application.

Claims

1. A method for maintaining a vehicle battery during long-term static storage, characterized in that, The method includes: Obtain the vehicle's operating status; When the operating state is the target static state, the current value of the target parameter of the vehicle's battery is monitored; the target parameter is a parameter that affects the battery capacity; the static time of the target static state is greater than a preset time threshold. If the current value does not match the expected value corresponding to the target parameter, a target operation is performed; the target operation is used to adjust the target parameter to match the expected value; wherein, when the target parameter is at the expected value, the battery capacity decay rate is less than a preset rate threshold.

2. The method according to claim 1, characterized in that, The target static state includes at least two static states; the static time corresponding to different static states is different, and the static time corresponding to adjacent static states is continuous. The target parameters include the state of charge of the battery; the expected value of the state of charge is different under different resting states, and the expected value of the state of charge under different resting states is negatively correlated with the resting time corresponding to the resting state. If the current state of charge of the battery is greater than or equal to a first threshold, the execution of the target operation includes: Determine whether the number of charge-discharge cycles of the battery during the i-th time period is 0; the i-th time period is the resting time corresponding to the i-th resting state among the at least two resting states; i is a positive integer; If the number of charge-discharge cycles of the battery during the i-th time period is 0, determine whether the current state of charge is greater than the state of charge threshold corresponding to the i-th resting state. If the current state of charge is greater than the state of charge threshold corresponding to the i-th resting state, the battery is discharged to the expected value of the state of charge corresponding to the i-th resting state. If the current state of charge is less than or equal to the state of charge threshold corresponding to the i-th resting state, i is updated to i+1, and the process of determining whether the number of charge and discharge cycles of the battery in the i-th time period is 0 is returned until the current state of charge matches the expected value of the state of charge in the current resting state. Among them, the time length of the (i+1)th time period is greater than the time length of the ith time period, and the charge state threshold corresponding to the (i+1)th static state is less than the charge state threshold corresponding to the ith static state.

3. The method according to claim 2, characterized in that, If the current state of charge of the battery is less than the first threshold, the execution of the target operation includes: Send a first reminder message to the user terminal, the first reminder message being used to remind the user to charge the battery; When the battery triggers the charging process, the battery is controlled to charge to the desired value corresponding to the state of charge.

4. The method according to claim 1, characterized in that, The target parameters include the state of charge of the battery; the target resting state includes at least two resting states; The method further includes: Obtain the relationship between the resting time of the battery and the capacity loss rate of the battery under different states of charge; Based on the aforementioned relationship, the expected values ​​of the battery under different states of charge and under different resting states are determined.

5. The method according to claim 1, characterized in that, The target parameter includes the battery temperature; The target operation to be performed includes: If the current battery temperature of the battery is maintained for a preset time for a preset time that is greater than or equal to a preset temperature threshold, and if the current state of charge of the battery is less than or equal to a second threshold, then the battery is charged and the battery temperature of the battery is reduced to the desired value by the cooling system of the vehicle. If the current battery temperature remains above or equal to the preset temperature threshold for the preset time, and if the battery's state of charge is greater than the second threshold, then the vehicle's cooling system will reduce the battery temperature to the desired value.

6. The method according to claim 1, characterized in that, The target parameter includes the battery temperature; The method further includes: If the current battery temperature remains greater than or equal to a preset temperature threshold for a preset period of time, a second reminder message is sent to alert the user that the battery temperature is abnormal. If the number of times the second reminder message is sent reaches a preset number, a third reminder message is sent, which is used to remind the user to move the car.

7. The method according to claim 1, characterized in that, The acquisition of the vehicle's operating status includes: Obtain the historical charge and discharge data of the battery from the cloud server; The step of monitoring the current values ​​of the target parameters of the vehicle's battery when the operating state is the target static state includes: Obtain the timestamp corresponding to the most recent charge / discharge data from the battery's historical charge / discharge data; If the time interval between the timestamp and the current time is greater than the preset time threshold, the vehicle's operating state is determined to be the target stationary state, and the current value of the target parameters of the vehicle's battery is monitored.

8. An electronic device, characterized in that, The device includes: a processor and a memory storing computer program instructions; When the processor executes the computer program instructions, it implements the battery maintenance method for long-term vehicle idling as described in any one of claims 1-7.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer program instructions, which, when executed by a processor, implement the battery maintenance method for a vehicle that has been idle for an extended period of time as described in any one of claims 1-7.

10. A vehicle, characterized in that, Includes at least one of the following: The electronic device as claimed in claim 8; The computer-readable storage medium as described in claim 9.

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