Battery health state evaluation method, device, equipment and storage medium

Abstract

The application discloses a battery health state evaluation method, device, equipment and storage medium, and belongs to the technical field of batteries. The method comprises the following steps: obtaining target working condition information of a target battery and a target cumulative charge and discharge capacity of the target battery under the target working condition, wherein the target working condition information comprises at least one of a battery temperature, a battery state of charge and a charging mode; determining a target battery health coefficient corresponding to the target working condition information from a plurality of working condition information intervals respectively corresponding to battery health coefficients, wherein the battery health coefficient is used for indicating the influence degree of different working condition information on the battery health state; and determining the health degree of the target battery based on the target cumulative charge and discharge capacity and the target battery health coefficient. The application combines the influence of different working conditions on the battery health state and the cumulative charge and discharge capacity under different working conditions to obtain an evaluation result of the battery health state, so that the battery health state evaluation method is more perfect, and the evaluation accuracy of the battery health state is improved.

Description

Technical Field

[0001] This application relates to the field of battery technology, and in particular to a method, apparatus, device and storage medium for assessing the health status of a battery. Background Technology

[0002] Batteries, as one of the energy supply methods for new energy vehicles, have been widely used in the power field due to their advantages such as low operating costs and minimal environmental pollution. To ensure battery power supply performance and improve vehicle driving safety, it is usually necessary to assess the battery's health status to avoid impacting the user experience due to battery aging and to enhance battery safety.

[0003] In related technologies, the health status of a battery is mainly assessed by determining its cumulative charge and discharge capacity, which is then used as the battery's health level.

[0004] However, the above methods are too idealistic and consider too few influencing factors, resulting in low accuracy of the evaluation results. Summary of the Invention

[0005] This application provides a method, apparatus, device, and storage medium for assessing battery health status, which can improve the accuracy of battery health status assessment results. The technical solution is as follows:

[0006] On the one hand, a method for assessing battery health status is provided, the method comprising:

[0007] Obtain target operating condition information of the target battery and target cumulative charge and discharge capacity of the target battery under target operating conditions. The target operating condition information includes at least one of battery temperature, battery state of charge and charging mode. The charging mode includes fast charging mode and slow charging mode.

[0008] The target battery health coefficient corresponding to the target operating condition information is determined from the battery health coefficients corresponding to multiple operating condition information intervals. The battery health coefficient is used to indicate the degree of influence of different operating condition information on the battery health status.

[0009] Based on the target cumulative charge-discharge capacity and the target battery health coefficient, the health level of the target battery is determined, and the health level is used to indicate the health status of the target battery.

[0010] Optionally, the plurality of operating condition information intervals are operating condition information intervals corresponding to the characteristics of the target chemical system, and the characteristics of the target chemical system are the chemical system characteristics of the target battery; wherein, different chemical system characteristics correspond to different operating condition information intervals.

[0011] Optionally, the chemical system features include at least one of the following: electrode material, electrolyte material, and electrode process parameters.

[0012] Optionally, the battery health coefficients corresponding to the multiple operating condition information intervals are obtained by simulating the entire life cycle of the battery.

[0013] The simulation process includes:

[0014] The target temperature range, target state of charge range, and target charging mode are obtained. The target temperature range refers to the temperature range that causes battery life degradation. The target state of charge range refers to the state of charge range that causes battery life degradation. The target charging mode includes multiple charging modes.

[0015] The target temperature range is divided into multiple sub-temperature ranges, and the target state of charge range is divided into multiple sub-state of charge ranges.

[0016] The multiple sub-temperature ranges, the multiple sub-state of charge ranges, and the multiple charging modes are combined to obtain multiple operating condition information ranges. Each operating condition information range includes a sub-temperature range, a sub-state of charge range, and a charging mode.

[0017] Based on the multiple operating condition information intervals and the cumulative charge-discharge capacity corresponding to each of the multiple operating condition information intervals, the battery health coefficient corresponding to each of the multiple operating condition information intervals is determined by a life simulation model.

[0018] Optionally, the step of determining the battery health coefficient corresponding to each of the multiple operating condition information intervals through a lifetime simulation model based on the multiple operating condition information intervals and the cumulative charge-discharge capacity corresponding to each of the multiple operating condition information intervals includes:

[0019] For each of the multiple operating condition information intervals, the battery health coefficient corresponding to the multiple operating condition data within the operating condition information interval is determined by the life simulation model. Each operating condition data indicates a temperature, a state of charge, and a charging mode.

[0020] Based on the battery health coefficients corresponding to the multiple operating condition data and the cumulative charge-discharge capacity corresponding to the operating condition information interval, the battery health coefficient corresponding to the operating condition information interval is determined.

[0021] Optionally, the target temperature range, the target state of charge range, and the target charging mode are respectively the temperature range, state of charge range, and charging mode corresponding to the target chemical system characteristics, and the target chemical system characteristics are the chemical system characteristics of the target battery; wherein, different chemical system characteristics correspond to different temperature ranges, state of charge ranges, and charging modes.

[0022] On the other hand, a battery health status assessment device is provided, the device comprising:

[0023] A battery information acquisition module is used to acquire target operating condition information of a target battery and target cumulative charge and discharge capacity of the target battery under target operating conditions. The target operating condition information includes at least one of battery temperature, battery state of charge and charging mode. The charging mode includes fast charging mode and slow charging mode.

[0024] The battery health coefficient determination module is used to determine the target battery health coefficient corresponding to the target operating condition information from the battery health coefficients corresponding to multiple operating condition information intervals. The battery health coefficient is used to indicate the degree of influence of different operating condition information on the battery health status.

[0025] A battery health determination module is used to determine the health of the target battery based on the target cumulative charge-discharge capacity and the target battery health coefficient, wherein the health is used to indicate the health status of the target battery.

[0026] Optionally, the plurality of operating condition information intervals are operating condition information intervals corresponding to the characteristics of the target chemical system, and the characteristics of the target chemical system are the chemical system characteristics of the target battery; wherein, different chemical system characteristics correspond to different operating condition information intervals.

[0027] Optionally, the chemical system features include at least one of the following: electrode material, electrolyte material, and electrode process parameters.

[0028] Optionally, the battery health coefficients corresponding to the multiple operating condition information intervals are obtained by simulating the entire life cycle of the battery.

[0029] The simulation process includes:

[0030] The target temperature range, target state of charge range, and target charging mode are obtained. The target temperature range refers to the temperature range that causes battery life degradation. The target state of charge range refers to the state of charge range that causes battery life degradation. The target charging mode includes multiple charging modes.

[0031] The target temperature range is divided into multiple sub-temperature ranges, and the target state of charge range is divided into multiple sub-state of charge ranges.

[0032] The multiple sub-temperature ranges, the multiple sub-state of charge ranges, and the multiple charging modes are combined to obtain multiple operating condition information ranges. Each operating condition information range includes a sub-temperature range, a sub-state of charge range, and a charging mode.

[0033] Based on the multiple operating condition information intervals and the cumulative charge-discharge capacity corresponding to each of the multiple operating condition information intervals, the battery health coefficient corresponding to each of the multiple operating condition information intervals is determined by a life simulation model.

[0034] Optionally, the step of determining the battery health coefficient corresponding to each of the multiple operating condition information intervals through a lifetime simulation model based on the multiple operating condition information intervals and the cumulative charge-discharge capacity corresponding to each of the multiple operating condition information intervals includes:

[0035] For each of the multiple operating condition information intervals, the battery health coefficient corresponding to the multiple operating condition data within the operating condition information interval is determined by the life simulation model. Each operating condition data indicates a temperature, a state of charge, and a charging mode.

[0036] Based on the battery health coefficients corresponding to the multiple operating condition data and the cumulative charge-discharge capacity corresponding to the operating condition information interval, the battery health coefficient corresponding to the operating condition information interval is determined.

[0037] Optionally, the target temperature range, the target state of charge range, and the target charging mode are respectively the temperature range, state of charge range, and charging mode corresponding to the target chemical system characteristics, and the target chemical system characteristics are the chemical system characteristics of the target battery; wherein, different chemical system characteristics correspond to different temperature ranges, state of charge ranges, and charging modes.

[0038] On the other hand, a computer device is provided, the computer device including a memory and a processor, the memory for storing a computer program, and the processor for executing the computer program stored in the memory to implement the steps of the battery health status assessment method described above.

[0039] On the other hand, a computer-readable storage medium is provided, wherein a computer program is stored therein, and when executed by a processor, the computer program implements the steps of the battery health status assessment method described above.

[0040] On the other hand, a computer program product containing instructions is provided, which, when run on a computer, cause the computer to perform the steps of the battery health status assessment method described above.

[0041] The technical solution provided in this application can bring at least the following beneficial effects:

[0042] Since the target operating condition information includes at least one of battery temperature, battery state of charge (SOC), and charging mode, and these factors all affect the battery's health status, with different operating conditions having varying degrees of impact, this method assesses the target battery's health status by determining the target battery health coefficient corresponding to the target operating condition information, and then determining the target battery's health level based on the target cumulative charge / discharge capacity and the target battery health coefficient. In other words, when assessing the target battery's health status, the method combines the impact of different operating conditions on the battery's health status with the cumulative charge / discharge capacity under different operating conditions to comprehensively obtain the assessment result, making the battery health status assessment method more comprehensive and improving the accuracy of the assessment. Attached Figure Description

[0043] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0044] Figure 1 This is a schematic diagram of an implementation environment provided in an embodiment of this application;

[0045] Figure 2 This is a flowchart of a battery health status assessment method provided in an embodiment of this application;

[0046] Figure 3 This is a schematic diagram of the structure of a battery health status assessment device provided in an embodiment of this application;

[0047] Figure 4 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application. Detailed Implementation

[0048] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the implementation methods of this application will be further described in detail below with reference to the accompanying drawings.

[0049] Before providing a detailed explanation of the battery health status assessment method provided in the embodiments of this application, the application scenarios and implementation environments involved in the embodiments of this application will be introduced first.

[0050] The embodiments of this application are mainly applied to the scenario of evaluating the health status of vehicle batteries. The evaluation scenario can be a closed test scenario, such as a test bench for vehicle batteries; or an open usage scenario, such as the scenario of evaluating the health status of batteries in the daily use environment of batteries.

[0051] It's important to note that the battery, as the core energy supply for new energy vehicles, directly impacts the user experience. In daily battery use, the charging and discharging process can be understood as the repeated migration of ions (such as lithium ions) between the positive and negative electrodes. As battery usage time increases, this long-term cycling of ions leads to the gradual consumption of some ions due to the aging of the active materials. Some ions may even become inactive and unable to freely move between the positive and negative electrodes, resulting in a decrease in the battery's discharge capacity after prolonged charging and discharging, a phenomenon known as aging.

[0052] Therefore, accurate real-time determination of battery health status can not only remind users to maintain or replace the battery in a timely manner when it is aging, but also improve the accuracy of SOP (State of Power) related to the battery's external discharge power and SOC (State of Charge) related to the range estimation based on the battery's health status, thus improving the calculation accuracy of SOP and SOC.

[0053] Furthermore, from another perspective, accurately determining the battery's health status in real time and promptly reminding users to perform battery maintenance and replacement can not only ensure the battery's power supply efficiency and guarantee the user experience, but also prevent the abuse of aging batteries and improve the safety of battery and vehicle use.

[0054] In related technologies, the State of Health (SOH) of a battery can be determined by accumulating its charge and discharge capacity or calendar lifespan, thus characterizing the battery's aging and degradation status, i.e., its health condition. However, such methods consider too few factors and the calculation results are too idealized. For example, the daily usage scenarios of batteries are quite complex, and different operating conditions (such as different battery temperatures, different battery states of charge, and different battery charging modes) have significantly different effects on battery capacity degradation. Therefore, the battery health status calculated using the above methods cannot accurately reflect the current health status of the battery.

[0055] Based on this, the embodiments of this application provide a method for assessing battery health status. By fully considering the complex scenarios in which the battery is used, combining the impact of different operating conditions on battery health status and the cumulative charge and discharge capacity under different operating conditions, the assessment result of battery health status is obtained comprehensively, making the assessment method of battery health status more complete and improving the accuracy of battery health status assessment.

[0056] Please refer to Figure 1 , Figure 1 This is a schematic diagram illustrating an implementation environment according to an exemplary embodiment. The implementation environment includes at least one battery 101, a sensor 102, and a processor 103. The sensor 102 is capable of communicating with both the battery 101 and the processor 103. This communication connection can be wired or wireless, and this embodiment does not limit the specific type of connection.

[0057] Alternatively, the battery 101, sensor 102, and processor 103 can be configured independently or integrated into the same device (e.g., within the same vehicle).

[0058] Battery 101 may include multiple battery packs for providing electrical power to the vehicle.

[0059] Sensor 102 is used to detect the operating condition information of battery 101. For example, sensor 102 may include a temperature sensor for detecting the battery temperature of battery 101; sensor 102 may also include a SOC (State of Charge) sensor for determining the state of charge of battery 101; sensor 102 may also include a voltage and current sensor for determining the voltage and current of battery 101 charging, which is used to determine the charging mode of battery and / or to determine the cumulative charge and discharge capacity of battery, which can also be understood as the cumulative charge and discharge capacity of battery (AH, ampere-hour).

[0060] In some embodiments, the sensor 102 and the battery 101 can be integrated together to form a vehicle battery system, and the processor 103 obtains the operating condition information of the battery 101 through the sensor 102 in the battery system.

[0061] The processor 103 is used to acquire battery operating condition information through the sensor 102, and determine the battery health coefficient corresponding to the operating condition information based on the operating condition information. For example, the processor 103 stores the correspondence between multiple operating condition information intervals and battery health coefficients, and then determines the battery health coefficient corresponding to the operating condition information based on the operating condition information of the battery 101.

[0062] For example, the processor 103 can determine the operating condition information range to which the operating condition information belongs based on the battery's operating condition information, and determine the battery health coefficient corresponding to the operating condition information range as the battery health coefficient corresponding to the operating condition information.

[0063] After determining the battery health coefficient corresponding to the operating condition information, the processor 103 can determine the battery health based on the battery health coefficient corresponding to the operating condition information and the cumulative charge and discharge capacity under the operating condition corresponding to the operating condition information.

[0064] Optionally, after determining the health status of the battery 101, the processor 103 can also report the currently determined battery health status to the vehicle's control system in real time.

[0065] The processor 103 described above is the execution entity of the battery health status assessment method provided in this application embodiment. The processor 103 can be a general-purpose CPU (Central Processing Unit), an NP (Network Processor), a microprocessor, or one or more integrated circuits used to implement the solution of this application, such as an ASIC (Application-Specific Integrated Circuit), a PLD (Programmable Logic Device), or a combination thereof. The PLD can be a CPLD (Complex Programmable Logic Device), an FPGA (Field-Programmable Gate Array), a GAL (Generic Array Logic), or any combination thereof.

[0066] Those skilled in the art should understand that the processor 103 described above is merely an example, and other existing or future processors that are applicable to the embodiments of this application should also be included within the scope of protection of the embodiments of this application, and are hereby incorporated by reference.

[0067] It should be noted that the application scenarios and implementation environments described in the embodiments of this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided in the embodiments of this application. As those skilled in the art will know, with the emergence of new application scenarios and the evolution of implementation environments, the technical solutions provided in the embodiments of this application are also applicable to similar technical problems.

[0068] The battery health status assessment method provided in the embodiments of this application will be explained in detail below.

[0069] Figure 2 This is a flowchart illustrating a battery health status assessment method provided in an embodiment of this application, which is applied to the aforementioned processor. Please refer to... Figure 2 The method includes the following steps.

[0070] Step 201: Obtain the target operating condition information of the target battery and the target cumulative charge and discharge capacity of the target battery under the target operating condition. The target operating condition information includes at least one of the following: battery temperature, battery state of charge, and charging mode. The charging mode includes: fast charging mode and slow charging mode.

[0071] In some embodiments, the sensor can acquire the target operating condition information of the battery and the target cumulative charge-discharge capacity of the battery under the target operating condition, and then transmit the target operating condition information and the target cumulative charge-discharge capacity to the processor. The target operating condition refers to the operating condition indicated by the target operating condition information.

[0072] Wherein, fast charging mode can refer to a charging mode in which the charging voltage, current and / or power are greater than or equal to a preset threshold, and slow charging mode can refer to a charging mode in which the charging voltage, current and / or power are less than a preset threshold; or, fast charging mode and slow charging mode can also refer to the fast charging mode and slow charging mode of batteries in relevant industry standards, and the embodiments of this application do not limit this.

[0073] For example, fast charging mode refers to a charging mode with a charging power greater than 40 kilowatts (kW), and slow charging mode refers to a charging mode with a charging power of 3 kilowatts (kW) to 7 kilowatts (kW).

[0074] Step 202: Determine the target battery health coefficient corresponding to the target operating condition information from the battery health coefficients corresponding to the multiple operating condition information intervals. The battery health coefficient is used to indicate the degree of influence of different operating condition information on the battery health status.

[0075] In this embodiment, each operating condition information interval corresponds to a battery health coefficient, and different operating condition information intervals correspond to different battery health coefficients. Based on this, the operating condition information interval in which the target operating condition information is located can be determined from the multiple operating condition information intervals, and then the battery health coefficient corresponding to the operating condition information interval in which the target operating condition information is located can be determined as the target battery health coefficient corresponding to the target operating condition information.

[0076] In some embodiments, the plurality of operating condition information intervals can be operating condition information intervals corresponding to the characteristics of the target chemical system, wherein the target chemical system characteristics are the chemical system characteristics of the target battery; wherein, different chemical system characteristics correspond to different operating condition information intervals.

[0077] It should be noted that, due to differences in the characteristics of different chemical systems, the lifespan and degradation of batteries may vary. Therefore, the corresponding operating condition information ranges will also differ for batteries with different chemical system characteristics. For example, the operating condition information range includes the battery temperature range, the battery state of charge range, and the charging mode. Under different chemical system characteristics, the battery temperature range, the battery state of charge range, and the charging mode will also be different.

[0078] It is understandable that once a vehicle is manufactured and assembled, the chemical characteristics of the battery system are determined, and therefore the operating condition information range corresponding to that battery is also determined.

[0079] In some embodiments, the chemical system characteristics may include at least one of the following: electrode material, electrolyte material, and electrode process parameters.

[0080] It should be noted that electrode material refers to the positive and negative electrode materials of the battery, such as lithium alloy metal oxide for the positive electrode and graphite for the negative electrode; electrolyte material refers to the medium used in the battery, which provides the corresponding ions for the normal operation of the battery, such as organic solvents, electrolyte potassium salts, etc.; electrode process parameters refer to the relevant process parameters in the production process of the battery electrode, such as the electrode electrochemical process, slurry composition, and mixing process requirements.

[0081] In some embodiments, the battery health coefficients corresponding to the multiple operating condition information intervals can be built into the processor by other electronic devices after simulating the entire life cycle of the battery, or they can be obtained by the processor mentioned above after simulating the entire life cycle of the battery. The simulation process can include the following steps (1)-(4), that is, the entire life cycle of the battery can be simulated by the following steps (1)-(4) to obtain the battery health coefficients corresponding to the multiple operating condition information intervals.

[0082] (1) Obtain the target temperature range, the target state of charge range and the target charging mode. The target temperature range refers to the temperature range that causes battery life degradation. The target state of charge range refers to the state of charge range that causes battery life degradation. The target charging mode includes multiple charging modes.

[0083] The target charging mode can be understood as the charging current range that causes battery life degradation. Battery life degradation refers to the reduction in battery life caused by changes in the battery cell's sensitivity to temperature, SOC, and current.

[0084] In some embodiments, the target temperature range, the target state of charge range, and the target charging mode are respectively the temperature range, state of charge range, and charging mode corresponding to the target chemical system characteristics, and the target chemical system characteristics are the chemical system characteristics of the target battery; wherein, different chemical system characteristics correspond to different temperature ranges, state of charge ranges, and charging modes.

[0085] Since different chemical system characteristics correspond to different temperature ranges, state of charge ranges, and charging modes, a correspondence table between chemical system characteristics and temperature ranges, state of charge ranges, and charging modes can be established in advance. Then, from this correspondence table, the temperature range, state of charge range, and charging mode corresponding to the target chemical system characteristics can be obtained, and the obtained temperature range, state of charge range, and charging mode can be determined as the target temperature range, target state of charge range, and target charging mode.

[0086] For example, based on the vehicle's battery test bench, the entire life cycle of batteries with different chemical system characteristics can be simulated to determine the temperature range, state of charge range, and charging mode that cause battery life degradation for different chemical system characteristics, thereby obtaining a table of correspondence between chemical system characteristics and temperature range, state of charge range, and charging mode.

[0087] (2) Divide the target temperature range into multiple sub-temperature ranges, and divide the target state of charge range into multiple sub-state of charge ranges.

[0088] In some embodiments, the target temperature range can be divided according to a temperature division strategy to obtain multiple sub-temperature ranges, and the target state of charge range can be divided according to a state of charge division strategy to obtain multiple sub-state of charge ranges.

[0089] The temperature classification strategy and the state of charge classification strategy can be the same or different. In practical applications, the temperature classification strategy and the state of charge classification strategy can also be adjusted according to actual needs.

[0090] It is understood that when the temperature range and charge state range corresponding to different chemical system characteristics are different, the number and boundaries of the sub-temperature ranges and the number and boundaries of the sub-charge state ranges corresponding to different chemical system characteristics are also different. Moreover, the temperature division strategy and charge state division strategy corresponding to different chemical system characteristics can be determined in combination with the requirements, and the embodiments of this application do not limit this.

[0091] For example, assuming the target temperature range is (-30℃, 80℃), since batteries are sensitive to different temperatures, resulting in different lifespan degradation at different temperatures, the target temperature range can be divided according to the battery's temperature sensitivity, thus obtaining three sub-temperature ranges: (-30℃, 0℃), [0℃, 25℃], and (25℃, 80℃).

[0092] (3) Combine the multiple sub-temperature ranges, the multiple sub-state of charge ranges and the multiple charging modes to obtain multiple operating condition information ranges. Each operating condition information range includes a sub-temperature range, a sub-state of charge range and a charging mode.

[0093] For example, the multiple sub-temperature ranges are (-30℃, 0℃), [0℃, 25℃] and (25℃, 80℃); the multiple sub-state of charge ranges are (0, 25%), [25%, 75%] and (75%, 100%); and the multiple charging modes are fast charging mode and slow charging mode. Combining these three sub-temperature ranges, three sub-state of charge ranges and two charging modes yields 18 operating condition information ranges. Each operating condition information range includes one sub-temperature range, one sub-state of charge range and one charging mode.

[0094] (4) Based on the multiple operating condition information intervals and the cumulative charge and discharge capacity corresponding to the multiple operating condition information intervals respectively, the battery health coefficient corresponding to the multiple operating condition information intervals is determined by the life simulation model.

[0095] In some embodiments, the battery life cycle under different operating condition information intervals can be simulated based on a life simulation model, thereby determining the battery health coefficient corresponding to each of the multiple operating condition information intervals based on the battery life cycle under different operating condition information intervals.

[0096] Since the battery health coefficient for each of these multiple operating condition information intervals is determined in the same way, we will take one of the operating condition information intervals as an example for the following introduction.

[0097] In some embodiments, for each of the plurality of operating condition information intervals, the battery health coefficient corresponding to the plurality of operating condition data within the operating condition information interval is determined by the life simulation model. Each operating condition data indicates a temperature, a state of charge, and a charging mode. Based on the battery health coefficients corresponding to the plurality of operating condition data and the cumulative charge-discharge capacity corresponding to the operating condition information interval, the battery health coefficient corresponding to the operating condition information interval is determined.

[0098] As an example, the operating condition information interval includes multiple operating condition data points, and the cumulative charge-discharge capacity corresponding to the operating condition information interval includes the cumulative charge-discharge capacity corresponding to each of the multiple operating condition data points. In this case, the operating condition information interval is input into a lifespan simulation model to obtain the battery health level corresponding to each of the multiple operating condition data points output by the lifespan simulation model. Then, based on the battery health level corresponding to each operating condition data point and the cumulative charge-discharge capacity corresponding to each operating condition data point, the battery health coefficient corresponding to each operating condition data point is determined. Finally, based on the battery health coefficients corresponding to each of the multiple operating condition data points, the battery health coefficient corresponding to the operating condition information interval is determined.

[0099] In some embodiments, for each operating condition data point within the operating condition information interval, the battery health level corresponding to the operating condition data is divided by the cumulative charge / discharge capacity corresponding to the operating condition data to obtain the battery health coefficient corresponding to the operating condition data. Then, the average value of the battery health coefficients corresponding to the multiple operating condition data points is used to determine the battery health coefficient corresponding to the operating condition information interval.

[0100] Optionally, the electronic device or processor performing the simulation process described above may include multiple databases for storing cumulative ampere-hours (AHs). These databases, referred to as cumulative AH databases, may have different cumulative AH databases corresponding to different operating condition information intervals. These cumulative AH databases store the cumulative charge / discharge capacity (also called cumulative charge / discharge AH ​​count or cumulative charge / discharge AH ​​count) corresponding to each operating condition data within different operating condition information intervals. Therefore, for each of these multiple operating condition information intervals, the cumulative charge / discharge capacity corresponding to each operating condition data included in each operating condition information interval can be obtained from the cumulative AH database corresponding to each operating condition information interval.

[0101] It should be noted that, considering the possibility of randomness in individual operating condition data, in order to avoid the impact of random data on the accuracy of the battery health coefficient, for any operating condition information interval, multiple battery health coefficients can be determined separately using multiple operating condition data within that interval. Then, the battery health coefficient corresponding to that operating condition information interval can be obtained by combining these multiple battery health coefficients. This avoids the problem of excessive random error caused by a single operating condition data, thereby improving the accuracy of the battery health coefficient corresponding to each operating condition information interval.

[0102] In some embodiments, the lifespan simulation model can be built based on the chemical system characteristics of the battery, and different chemical system characteristics correspond to different lifespan simulation models. Therefore, when determining the battery health coefficient for multiple operating condition information intervals corresponding to the target chemical system characteristics, it can be determined through the lifespan simulation model corresponding to the target chemical system characteristics.

[0103] For example, an LFP (LiFePO4, lithium iron phosphate) battery was developed for the high-temperature market, and a lifespan simulation model was established based on the battery's chemical system characteristics. The battery's temperature range was divided into three sub-temperature ranges: [10℃, 25℃), [25℃, 35℃), and [35℃, 60℃]. The state of charge (SOC) range was divided into three sub-SOC ranges: [5%, 30%), [30%, 80%), and [80%, 100%). Charging modes were divided into fast charging and slow charging modes. Combining the three sub-temperature ranges, three sub-SOC ranges, and two charging modes yielded 18 operating condition information ranges. Then, based on the operating condition data within these 18 operating condition information ranges and the corresponding cumulative charge / discharge capacity, the battery health coefficient (μ1 to μ18) for each of the 18 operating condition information ranges was determined using the battery's lifespan simulation model.

[0104] It should be noted that the simulation process proposed in the embodiments of this application can also be applied to the scenario of comparative analysis of battery health coefficient under different operating conditions.

[0105] For example, a battery system S1 was developed for low-temperature regions. The chemical system characteristics of this battery system take into account the impact of low-temperature environment on its lifespan. A lifespan simulation model 1 was built based on these chemical system characteristics. A battery system S2, developed for normal-temperature environments, was then selected, and a lifespan simulation model 2 was built based on the chemical system characteristics of battery system S2. Assuming a certain operating condition range of -20℃ < T < 0℃ and 30% ≤ SOC ≤ 80%, the battery health coefficient μ1 of battery system S1 within this operating condition range was determined using lifespan simulation model 1. Similarly, the battery health coefficient μ2 of battery system S2 within the same operating condition range was determined using lifespan simulation model 2. Simulation results show that μ1 < μ2.

[0106] For example, a battery system is charged using different charging modes: fast charging using a stepped current according to a fast charging power map, and slow charging using a rated output power of 6.6 kW. A lifespan simulation model is established based on the battery's chemical characteristics. Assume there are two operating condition intervals. These intervals include the same sub-temperature interval (20℃ < T < 25℃) and the same sub-state of charge interval (30% ≤ SOC ≤ 80%). The charging modes included in these intervals are fast charging and slow charging, respectively. The lifespan simulation model determines the battery health coefficient corresponding to these two operating condition intervals, specifically the battery health coefficient μ corresponding to the fast charging mode. 慢充 Battery health coefficient μ corresponding to slow charging mode 快充 The results comparison shows that: μ 慢充 <μ快充 .

[0107] Step 203: Based on the target cumulative charge and discharge capacity and the target battery health coefficient, determine the health of the target battery. The health is used to indicate the health status of the target battery.

[0108] In some embodiments, the target cumulative charge-discharge capacity can be multiplied by the target battery health coefficient to obtain the health status of the target battery.

[0109] It should be noted that the operating conditions of the target battery will change continuously as the usage environment (such as vehicle driving time, location, and weather) changes. Therefore, in practical applications, the battery health of the target battery at different times can be determined, which makes it easier for users to keep track of the health status of the target battery in a timely manner.

[0110] This application proposes a method for assessing battery health status. Considering that the sensitivity of battery lifespan degradation to changes in temperature, state of charge, and charging mode varies depending on the characteristics of different chemical systems, to make the battery health coefficient of the target battery more closely reflect its sensitivity to changes in operating conditions, multiple operating condition information intervals are determined based on the chemical system characteristics of the target battery. Then, a lifespan simulation model is used to simulate the battery's life cycle, obtaining the battery health coefficient corresponding to each operating condition information interval. This ensures that the battery health coefficient fully considers the impact of different operating conditions on the battery health status, improving the accuracy of the battery health coefficient. Furthermore, when the target operating condition information of the target battery is obtained, the health status of the target battery can be determined based on the target battery health coefficient corresponding to the target operating condition information and the target cumulative charge-discharge capacity of the target battery under the target operating condition, thereby achieving the assessment of the target battery's health status. In other words, when assessing the health status of a target battery, the complex changes in usage conditions during actual battery use are comprehensively considered. These changes include the impact of variations in battery chemical system characteristics, battery temperature, battery state of charge, and battery charging and discharging current (charging mode) on the rate of battery life degradation. Different battery health coefficients corresponding to different operating conditions are introduced. By combining the impact of different operating conditions on battery health status and the cumulative charge and discharge capacity under different operating conditions, the overall assessment result of battery health status is obtained, thereby improving the accuracy of battery health status assessment.

[0111] Figure 3 This is a schematic diagram of a battery health status assessment device provided in an embodiment of this application. This battery health status assessment device can be implemented by software, hardware, or a combination of both, forming part or all of a battery health status assessment equipment. The battery health status assessment equipment can be... Figure 1 The computer equipment involved in the implementation environment shown is illustrated. Please refer to [the documentation / reference]. Figure 3The device includes: a battery information acquisition module 301, a battery health coefficient determination module 302, and a battery health determination module 303.

[0112] The battery information acquisition module 301 is used to acquire the target operating condition information of the target battery and the target cumulative charge and discharge capacity of the target battery under the target operating condition. The target operating condition information includes at least one of battery temperature, battery state of charge and charging mode. The charging mode includes fast charging mode and slow charging mode.

[0113] The battery health coefficient determination module 302 is used to determine the target battery health coefficient corresponding to the target operating condition information from the battery health coefficients corresponding to multiple operating condition information intervals. The battery health coefficient is used to indicate the degree of influence of different operating condition information on the battery health status.

[0114] The battery health determination module 303 is used to determine the health of the target battery based on the target cumulative charge and discharge capacity and the target battery health coefficient. The health is used to indicate the health status of the target battery.

[0115] Optionally, the multiple operating condition information intervals are operating condition information intervals corresponding to the characteristics of the target chemical system, and the characteristics of the target chemical system are the chemical system characteristics of the target battery; wherein, different chemical system characteristics correspond to different operating condition information intervals.

[0116] Optionally, the chemical system features include at least one of the following: electrode material, electrolyte material, and electrode process parameters.

[0117] Optionally, the battery health coefficients corresponding to these multiple operating condition information intervals are obtained by simulating the entire life cycle of the battery.

[0118] The simulation process includes:

[0119] The target temperature range, target state of charge range, and target charging mode are obtained. The target temperature range refers to the temperature range that causes battery life degradation, the target state of charge range refers to the state of charge range that causes battery life degradation, and the target charging mode includes multiple charging modes.

[0120] The target temperature range is divided into multiple sub-temperature ranges, and the target state of charge range is divided into multiple sub-state of charge ranges.

[0121] The multiple sub-temperature ranges, the multiple sub-state of charge ranges, and the multiple charging modes are combined to obtain multiple operating condition information ranges. Each operating condition information range includes a sub-temperature range, a sub-state of charge range, and a charging mode.

[0122] Based on the multiple operating condition information intervals and the cumulative charge and discharge capacity corresponding to each of the multiple operating condition information intervals, the battery health coefficient corresponding to each of the multiple operating condition information intervals is determined by the life simulation model.

[0123] Optionally, based on the multiple operating condition information intervals and the cumulative charge-discharge capacity corresponding to each of the multiple operating condition information intervals, the battery health coefficient corresponding to each of the multiple operating condition information intervals is determined by a lifetime simulation model, including:

[0124] For each of the multiple operating condition information intervals, the battery health coefficient corresponding to the multiple operating condition data within the operating condition information interval is determined by the life simulation model. Each operating condition data indicates a temperature, a state of charge and a charging mode.

[0125] Based on the battery health coefficient corresponding to the multiple operating condition data and the cumulative charge and discharge capacity corresponding to the operating condition information interval, the battery health coefficient corresponding to the operating condition information interval is determined.

[0126] Optionally, the target temperature range, the target state of charge range, and the target charging mode are respectively the temperature range, state of charge range, and charging mode corresponding to the target chemical system characteristics, and the target chemical system characteristics are the chemical system characteristics of the target battery; wherein, different chemical system characteristics correspond to different temperature ranges, state of charge ranges, and charging modes.

[0127] In this embodiment, considering that the sensitivity of battery life degradation to changes in temperature, state of charge, and charging mode varies under different chemical system characteristics, in order to make the battery health coefficient of the target battery more closely reflect the sensitivity of the target battery to changes in operating conditions, multiple operating condition information intervals of the target battery are determined based on the chemical system characteristics of the target battery. Then, the battery life cycle is simulated using a life simulation model to obtain the battery health coefficient corresponding to different operating condition information intervals. This ensures that the battery health coefficient fully considers the impact of different operating conditions on the battery health status, improving the accuracy of the battery health coefficient. Furthermore, when the target operating condition information of the target battery is obtained, the health status of the target battery can be determined based on the target battery health coefficient corresponding to the target operating condition information and the target cumulative charge-discharge capacity of the target battery under the target operating condition, thereby achieving the assessment of the health status of the target battery. In other words, when assessing the health status of a target battery, the complex changes in usage conditions during actual battery use are comprehensively considered. These changes include the impact of variations in battery chemical system characteristics, battery temperature, battery state of charge, and battery charging and discharging current (charging mode) on the rate of battery life degradation. Different battery health coefficients corresponding to different operating conditions are introduced. By combining the impact of different operating conditions on battery health status and the cumulative charge and discharge capacity under different operating conditions, the overall assessment result of battery health status is obtained, thereby improving the accuracy of battery health status assessment.

[0128] It should be noted that the battery health status assessment device provided in the above embodiments is only illustrated by the division of the above functional modules when assessing the battery health status. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the battery health status assessment device and the battery health status assessment method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process can be found in the method embodiments, which will not be repeated here.

[0129] Figure 4 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application. The computer device 400 includes a central processing unit (CPU) 401, a system memory 404 including random access memory (RAM) 402 and read-only memory (ROM) 403, and a system bus 405 connecting the system memory 404 and the CPU 401. The computer device 400 also includes a basic input / output system (I / O system) 406 that facilitates the transmission of information between various devices within the computer, and a mass storage device 407 for storing the operating system 413, application programs 414, and other program modules 415.

[0130] The basic input / output system 406 includes a display 408 for displaying information and an input device 409 for user input, such as a mouse or keyboard. Both the display 408 and the input device 409 are connected to the central processing unit 401 via an input / output controller 410 connected to the system bus 405. The basic input / output system 406 may also include the input / output controller 410 for receiving and processing input from multiple other devices such as a keyboard, mouse, or electronic stylus. Similarly, the input / output controller 410 also provides output to a display screen, printer, or other types of output devices.

[0131] Mass storage device 407 is connected to central processing unit 401 via a mass storage controller (not shown) connected to system bus 405. Mass storage device 407 and its associated computer-readable media provide non-volatile storage for computer device 400. That is, mass storage device 407 may include computer-readable media (not shown) such as hard disk or CD-ROM drive.

[0132] Without loss of generality, computer-readable media can include computer storage media and communication media. Computer storage media include volatile and non-volatile, removable and non-removable media implemented using any method or technology for storing information such as computer-readable instructions, data structures, program modules, or other data. Computer storage media include RAM, ROM, EPROM, EEPROM, flash memory or other solid-state storage technologies, CD-ROM, DVD or other optical storage, magnetic tape cassettes, magnetic tape, disk storage, or other magnetic storage devices. Of course, those skilled in the art will recognize that computer storage media are not limited to the above-mentioned types. The system memory 404 and mass storage device 407 described above can be collectively referred to as memory.

[0133] According to various embodiments of this application, the computer device 400 can also be connected to a remote computer on a network, such as the Internet, for operation. That is, the computer device 400 can be connected to a network 412 via a network interface unit 411 connected to the system bus 405, or the network interface unit 411 can be used to connect to other types of networks or remote computer systems (not shown).

[0134] The aforementioned memory also includes one or more programs, which are stored in the memory and configured to be executed by the CPU.

[0135] In some embodiments, a computer-readable storage medium is also provided, which stores a computer program that, when executed by a processor, implements the steps of the battery health status assessment method described in the above embodiments. For example, the computer-readable storage medium may be a ROM, RAM, CD-ROM, magnetic tape, floppy disk, or optical data storage device.

[0136] It is worth noting that the computer-readable storage medium mentioned in the embodiments of this application can be a non-volatile storage medium, in other words, it can be a non-transient storage medium.

[0137] It should be understood that all or part of the steps of the above embodiments can be implemented by software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented wholly or partially in the form of a computer program product. The computer program product includes one or more computer instructions. The computer instructions can be stored in the above-described computer-readable storage medium.

[0138] That is, in some embodiments, a computer program product containing instructions is also provided, which, when run on a computer, causes the computer to perform the steps of the battery health status assessment method described above.

[0139] It should be understood that "at least one" as mentioned herein refers to one or more, and "multiple" refers to two or more. In the description of the embodiments of this application, unless otherwise stated, " / " means "or," for example, A / B can mean A or B; "and / or" in this document is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. In addition, in order to clearly describe the technical solutions of the embodiments of this application, the terms "first," "second," etc., are used in the embodiments of this application to distinguish identical or similar items with substantially the same function and effect. Those skilled in the art will understand that the terms "first," "second," etc., do not limit the quantity or execution order, and the terms "first," "second," etc., are not necessarily different.

[0140] It should be noted that the information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data used for analysis, data stored, data displayed, etc.) and signals involved in the embodiments of this application are all authorized by the user or fully authorized by all parties, and the collection, use and processing of related data must comply with the relevant laws, regulations and standards of the relevant countries and regions.

[0141] The above descriptions are embodiments provided in this application and are not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for assessing the health status of a battery, characterized in that, The method includes: Obtain target operating condition information of the target battery and target cumulative charge and discharge capacity of the target battery under target operating conditions. The target operating condition information includes at least one of battery temperature, battery state of charge and charging mode. The charging mode includes fast charging mode and slow charging mode. From the battery health coefficients corresponding to multiple operating condition information intervals, the target battery health coefficient corresponding to the target operating condition information is determined. The target battery health coefficient is used to indicate the degree of influence of the target operating condition information on the battery health status. Based on the target cumulative charge-discharge capacity and the target battery health coefficient, the health level of the target battery is determined, and the health level is used to indicate the health status of the target battery. The battery health coefficients corresponding to the multiple operating condition information intervals are obtained by simulating the entire life cycle of the battery; the simulation process includes: The target temperature range, target state of charge range, and target charging mode are obtained. The target temperature range refers to the temperature range that causes battery life degradation. The target state of charge range refers to the state of charge range that causes battery life degradation. The target charging mode includes multiple charging modes. The target temperature range is divided into multiple sub-temperature ranges, and the target state of charge range is divided into multiple sub-state of charge ranges. The multiple sub-temperature ranges, the multiple sub-state of charge ranges, and the multiple charging modes are combined to obtain multiple operating condition information ranges. Each operating condition information range includes a sub-temperature range, a sub-state of charge range, and a charging mode. Based on the multiple operating condition information intervals and the cumulative charge-discharge capacity corresponding to each of the multiple operating condition information intervals, the battery health coefficient corresponding to each of the multiple operating condition information intervals is determined by a life simulation model.

2. The method as described in claim 1, characterized in that, The multiple operating condition information intervals are operating condition information intervals corresponding to the characteristics of the target chemical system, and the characteristics of the target chemical system are the chemical system characteristics of the target battery; wherein, different chemical system characteristics correspond to different operating condition information intervals.

3. The method as described in claim 2, characterized in that, The chemical system features include at least one of the following: electrode material, electrolyte material, and electrode process parameters.

4. The method as described in claim 1, characterized in that, The step of determining the battery health coefficient corresponding to each of the multiple operating condition information intervals and the cumulative charge-discharge capacity corresponding to each of the multiple operating condition information intervals through a lifetime simulation model includes: For each of the multiple operating condition information intervals, the battery health coefficient corresponding to the multiple operating condition data within the operating condition information interval is determined by the life simulation model. Each operating condition data indicates a temperature, a state of charge, and a charging mode. Based on the battery health coefficients corresponding to the multiple operating condition data and the cumulative charge-discharge capacity corresponding to the operating condition information interval, the battery health coefficient corresponding to the operating condition information interval is determined.

5. The method as described in claim 1, characterized in that, The target temperature range, the target state of charge range, and the target charging mode are respectively the temperature range, state of charge range, and charging mode corresponding to the target chemical system characteristics, and the target chemical system characteristics are the chemical system characteristics of the target battery; wherein, different chemical system characteristics correspond to different temperature ranges, state of charge ranges, and charging modes.

6. A battery health status assessment device, characterized in that, The device includes: A battery information acquisition module is used to acquire target operating condition information of a target battery and target cumulative charge and discharge capacity of the target battery under target operating conditions. The target operating condition information includes at least one of battery temperature, battery state of charge and charging mode. The charging mode includes fast charging mode and slow charging mode. The battery health coefficient determination module is used to determine the target battery health coefficient corresponding to the target operating condition information from the battery health coefficients corresponding to multiple operating condition information intervals. The target battery health coefficient is used to indicate the degree of influence of the target operating condition information on the battery health status. A battery health determination module is used to determine the health of the target battery based on the target cumulative charge-discharge capacity and the target battery health coefficient, wherein the health is used to indicate the health status of the target battery; The battery health coefficients corresponding to the multiple operating condition information intervals are obtained by simulating the entire life cycle of the battery; the simulation process includes: The target temperature range, target state of charge range, and target charging mode are obtained. The target temperature range refers to the temperature range that causes battery life degradation. The target state of charge range refers to the state of charge range that causes battery life degradation. The target charging mode includes multiple charging modes. The target temperature range is divided into multiple sub-temperature ranges, and the target state of charge range is divided into multiple sub-state of charge ranges. The multiple sub-temperature ranges, the multiple sub-state of charge ranges, and the multiple charging modes are combined to obtain multiple operating condition information ranges. Each operating condition information range includes a sub-temperature range, a sub-state of charge range, and a charging mode. Based on the multiple operating condition information intervals and the cumulative charge-discharge capacity corresponding to each of the multiple operating condition information intervals, the battery health coefficient corresponding to each of the multiple operating condition information intervals is determined by a life simulation model.

7. The apparatus as claimed in claim 6, characterized in that, The multiple operating condition information intervals are operating condition information intervals corresponding to the characteristics of the target chemical system, and the characteristics of the target chemical system are the chemical system characteristics of the target battery; wherein, different chemical system characteristics correspond to different operating condition information intervals.

8. The apparatus as claimed in claim 7, characterized in that, The chemical system features include at least one of the following: electrode material, electrolyte material, and electrode process parameters.

9. A computer device, characterized in that, The computer device includes a memory and a processor. The memory is used to store computer programs, and the processor is used to execute the computer programs stored in the memory to implement the steps of the method according to any one of claims 1-5.

10. A computer-readable storage medium, characterized in that, The storage medium stores a computer program, which, when executed by a processor, implements the steps of the method according to any one of claims 1-5.

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