Battery charging method and apparatus based on bidirectional pulse current regulation

Abstract

This application relates to a battery charging method and apparatus based on bidirectional pulse current regulation. The method includes: acquiring user charging demand information, target battery state information, and charging strategies for each charging condition of the charging pile; identifying the charging process and charging demand for each charging condition based on the charging strategies; adjusting the bidirectional charging process for each charging condition using a bidirectional current strategy and constructing a battery model of the target battery; simulating the battery health state information for each charging condition based on the charging demand and bidirectional charging process corresponding to each charging condition, thereby identifying the bidirectional current dynamic regulation strategy for each charging condition; and charging the target battery based on the target bidirectional charging process corresponding to the target bidirectional current dynamic regulation strategy for the target charging condition, thus completing the charging process of the target battery. This method can improve battery lifespan during the charging process.

Description

Technical Field

[0001] This application relates to the field of bidirectional pulse current regulation fast charging technology, and in particular to a battery charging method and apparatus based on bidirectional pulse current regulation. Background Technology

[0002] Lithium-ion batteries inevitably age with increasing cycle count and storage time during use. Externally, this manifests as capacity decay and increased internal resistance, leading to a decline in stored energy and peak power, further reducing battery lifespan and impacting battery performance and the safety of lithium-ion battery application systems. However, in typical applications such as fast charging at charging stations and vehicle-to-grid (V2G) systems, the harsh charging and discharging conditions—high frequency, high rate, and long duration—severely accelerate battery lifespan degradation. Therefore, improving battery lifespan through modified charging strategies is a current research focus.

[0003] Traditional battery charging strategies utilize charging stations to directly charge batteries based on users' varying charging needs, including both fast and regular charging. However, this approach involves charging batteries under harsh conditions such as high frequency, high rate, and long duration, focusing solely on charging efficiency and whether the battery is fully charged. This severely accelerates battery lifespan degradation, resulting in a shorter battery lifespan during the charging and discharging process. Summary of the Invention

[0004] Therefore, it is necessary to provide a battery charging method, apparatus, computer equipment, computer-readable storage medium, and computer program product based on bidirectional pulse current regulation to address the aforementioned technical problems.

[0005] In a first aspect, this application provides a battery charging method based on bidirectional pulse current regulation, comprising:

[0006] The system acquires user charging needs information, target battery status information, and charging strategies for each charging condition of the charging pile. Based on the charging strategies for each charging condition, it identifies the charging process for each charging condition and the corresponding charging needs.

[0007] By using a bidirectional current strategy, the charging process for each charging condition is adjusted to obtain a bidirectional charging process for each charging condition, and a battery model of the target battery is constructed based on the battery state information of the target battery.

[0008] Based on the charging demand corresponding to each charging condition and the bidirectional charging process of each charging condition, the charging process of each charging condition is simulated through the battery model to obtain the battery health status information corresponding to each charging condition. Based on the battery health status information corresponding to each charging condition, the bidirectional current dynamic control strategy of each charging condition is identified.

[0009] Identify the target charging condition corresponding to the user's charging demand information, and based on the target bidirectional charging process corresponding to the bidirectional current dynamic control strategy of the target charging condition, charge the target battery to complete the charging process of the target battery.

[0010] Optionally, the charging strategy based on each of the charging conditions, identifying the charging process for each of the charging conditions and the corresponding charging demand for each of the charging conditions, includes:

[0011] For each charging condition, the historical charging log information of the charging pile under the charging condition and the charging restriction conditions of the charging pile under the charging condition are queried in the historical database of the charging pile. Based on the historical charging log information, the charging process information of the charging pile for each battery model is identified.

[0012] Based on the charging process information of the charging pile for each battery model, a sub-charging process of the charging pile for each battery model is generated, and the sub-charging process of the charging pile for all battery models is used as the charging process of the charging pile.

[0013] Based on the charging constraints of the charging condition, the constraint information of the constraint type of the charging condition is identified, and the constraint information of the constraint type is used as the charging demand corresponding to the charging condition.

[0014] Optionally, the step of adjusting the charging process for each charging condition using a bidirectional current strategy to obtain a bidirectional charging process for each charging condition includes:

[0015] For each charging condition, based on the charging condition and the sub-charging process for each battery model, identify the charging parameter information for each sub-charging process;

[0016] Based on the bidirectional current strategy and the charging parameter information, bidirectional charging parameter information corresponding to each charging parameter information is generated, and based on the bidirectional charging parameter information, a sub-bidirectional charging process corresponding to each sub-charging process is generated.

[0017] The sub-bidirectional charging process for all battery models is used as the charging process for the aforementioned charging condition.

[0018] Optionally, constructing a battery model of the target battery based on the battery state information of the target battery includes:

[0019] Based on the battery status information of the target battery, the target battery model and the degree of battery aging of the target battery are identified;

[0020] In the model database, the initial battery model of the target battery model is retrieved, and the model parameters in the initial battery model are adjusted based on the battery aging degree of the target battery to obtain the battery model of the target battery.

[0021] Optionally, based on the charging demand corresponding to each charging condition and the bidirectional charging process of each charging condition, the battery model is used to simulate the charging process of each charging condition to obtain battery health status information corresponding to each charging condition, including:

[0022] For each charging condition, based on the charging demand corresponding to the charging condition, the charging adjustment constraints of the target bidirectional charging process corresponding to the target battery model are identified, and based on the charging adjustment constraints of the target bidirectional charging process, each simulated bidirectional charging process of the battery model is generated.

[0023] Based on each of the simulated bidirectional charging processes, the charging process of the charging condition is simulated using the battery model to obtain the sub-battery health status information corresponding to each simulated bidirectional charging process.

[0024] The health status information of all sub-batteries corresponding to the simulated bidirectional charging process is used as the battery health status information corresponding to the charging condition.

[0025] Optionally, the step of identifying a bidirectional current dynamic control strategy for each charging condition based on the battery health status information corresponding to each charging condition includes:

[0026] For each simulated bidirectional charging process, the key factor values ​​of each key factor type in the simulated bidirectional charging process are identified, and based on the key factor values ​​of each key factor type corresponding to each simulated bidirectional charging process and the sub-battery health status information of each simulated bidirectional charging process, the influence information between each key factor type and battery aging is identified.

[0027] Based on the influence information between each key factor type and battery aging, a bidirectional current dynamic regulation strategy is identified for the charging condition.

[0028] Optionally, the method further includes:

[0029] The battery state of the target battery during the battery storage stage and the battery model of the target battery are obtained. Based on the battery state, the battery health status change process of the target battery under the conditions of each bidirectional current strategy during the battery storage stage is simulated through each bidirectional current strategy of the battery model. The battery health status change distribution information of each bidirectional current factor of the target battery during the battery storage stage is obtained.

[0030] Based on the battery health status change distribution information of each of the bidirectional current factors, a target bidirectional current strategy is generated for the target battery during the battery storage stage. Based on the target bidirectional current strategy, battery maintenance is performed on the target battery during the battery storage stage to complete the battery maintenance task of the target battery during the battery storage stage.

[0031] Secondly, this application also provides a battery charging device based on bidirectional pulse current regulation, comprising:

[0032] The acquisition module is used to acquire the user's charging demand information, the target battery's battery status information, and the charging strategies of each charging condition of the charging pile, and based on the charging strategies of each charging condition, to identify the charging process of each charging condition and the charging demand corresponding to each charging condition.

[0033] The module is used to adjust the charging process of each charging condition through a bidirectional current strategy to obtain the bidirectional charging process of each charging condition, and to construct the battery model of the target battery based on the battery state information of the target battery.

[0034] The identification module is used to simulate the charging process of each charging condition based on the charging demand corresponding to each charging condition and the bidirectional charging process of each charging condition, through the battery model, to obtain the battery health status information corresponding to each charging condition, and to identify the bidirectional current dynamic control strategy of each charging condition based on the battery health status information corresponding to each charging condition.

[0035] The charging module is used to identify the target charging condition corresponding to the user's charging demand information, and to charge the target battery based on the target bidirectional charging process corresponding to the bidirectional current dynamic control strategy of the target charging condition, thereby completing the charging process of the target battery.

[0036] Optionally, the acquisition module is specifically used for:

[0037] For each charging condition, the historical charging log information of the charging pile under the charging condition and the charging restriction conditions of the charging pile under the charging condition are queried in the historical database of the charging pile. Based on the historical charging log information, the charging process information of the charging pile for each battery model is identified.

[0038] Based on the charging process information of the charging pile for each battery model, a sub-charging process of the charging pile for each battery model is generated, and the sub-charging process of the charging pile for all battery models is used as the charging process of the charging pile.

[0039] Based on the charging constraints of the charging condition, the constraint information of the constraint type of the charging condition is identified, and the constraint information of the constraint type is used as the charging demand corresponding to the charging condition.

[0040] Optionally, the building module is specifically used for:

[0041] For each charging condition, based on the charging condition and the sub-charging process for each battery model, identify the charging parameter information for each sub-charging process;

[0042] Based on the bidirectional current strategy and the charging parameter information, bidirectional charging parameter information corresponding to each charging parameter information is generated, and based on the bidirectional charging parameter information, a sub-bidirectional charging process corresponding to each sub-charging process is generated.

[0043] The sub-bidirectional charging process for all battery models is used as the charging process for the aforementioned charging condition.

[0044] Optionally, the building module is specifically used for:

[0045] Based on the battery status information of the target battery, the target battery model and the degree of battery aging of the target battery are identified;

[0046] In the model database, the initial battery model of the target battery model is retrieved, and the model parameters in the initial battery model are adjusted based on the battery aging degree of the target battery to obtain the battery model of the target battery.

[0047] Optionally, the identification module is specifically used for:

[0048] For each charging condition, based on the charging demand corresponding to the charging condition, the charging adjustment constraints of the target bidirectional charging process corresponding to the target battery model are identified, and based on the charging adjustment constraints of the target bidirectional charging process, each simulated bidirectional charging process of the battery model is generated.

[0049] Based on each of the simulated bidirectional charging processes, the charging process of the charging condition is simulated using the battery model to obtain the sub-battery health status information corresponding to each simulated bidirectional charging process.

[0050] The health status information of all sub-batteries corresponding to the simulated bidirectional charging process is used as the battery health status information corresponding to the charging condition.

[0051] Optionally, the identification module is specifically used for:

[0052] For each simulated bidirectional charging process, the key factor values ​​of each key factor type in the simulated bidirectional charging process are identified, and based on the key factor values ​​of each key factor type corresponding to each simulated bidirectional charging process and the sub-battery health status information of each simulated bidirectional charging process, the influence information between each key factor type and battery aging is identified.

[0053] Based on the influence information between each key factor type and battery aging, a bidirectional current dynamic regulation strategy is identified for the charging condition.

[0054] Optionally, the device further includes:

[0055] The simulation module is used to obtain the battery state of the target battery during the battery storage stage and the battery model of the target battery. Based on the battery state, the module simulates the battery health status change process of the target battery under various bidirectional current strategies during the battery storage stage through various bidirectional current strategies of the battery model, and obtains the battery health status change distribution information of each bidirectional current factor of the target battery during the battery storage stage.

[0056] The generation module is used to generate a target bidirectional current strategy for the target battery during the battery storage stage based on the battery health state change distribution information of each of the bidirectional current factors, and to perform battery maintenance processing on the target battery during the battery storage stage based on the target bidirectional current strategy, thereby completing the battery maintenance task of the target battery during the battery storage stage.

[0057] Thirdly, this application provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of the method described in any one of the first aspects.

[0058] Fourthly, this application provides a computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the steps of the method described in any one of the first aspects.

[0059] Fifthly, this application provides a computer program product. The computer program product includes a computer program that, when executed by a processor, implements the steps of the method described in any one of the first aspects.

[0060] The aforementioned battery charging method and apparatus based on bidirectional pulse current regulation acquires user charging demand information, target battery state information, and charging strategies for each charging condition of the charging pile. Based on the charging strategies for each charging condition, it identifies the charging process and corresponding charging demand for each charging condition. Through a bidirectional current strategy, it adjusts the charging process for each charging condition to obtain a bidirectional charging process for each charging condition. Based on the target battery state information, it constructs a battery model for the target battery. Based on the charging demand and bidirectional charging process for each charging condition, it simulates the charging process for each charging condition using the battery model to obtain battery health status information for each charging condition. Based on the battery health status information for each charging condition, it identifies a bidirectional current dynamic regulation strategy for each charging condition. Finally, it identifies the target charging condition corresponding to the user's charging demand information and, based on the target bidirectional charging process corresponding to the bidirectional current dynamic regulation strategy for the target charging condition, performs charging processing on the target battery to complete the charging process of the target battery. This solution replaces the traditional DC power transmission strategy with a bidirectional current strategy, enabling the target battery to be charged with bidirectional current under pulsed conditions. Because bidirectional current adds current in both directions, replacing the traditional unidirectional charging method, it allows the target battery to charge and discharge under bidirectional current conditions set by the specified parameters. After modeling the battery, this solution simulates different bidirectional charging processes to analyze the impact of different bidirectional charging currents on the target battery's lifespan. This allows for the selection of a suitable dynamic bidirectional current control strategy for the target battery. Finally, through a classification study of different charging conditions, this solution ensures that the impact of continuous high-frequency, high-rate, and long-term charge and discharge on the battery's lifespan can be mitigated under various charging conditions and in a static state. This comprehensively improves the safety protection of the battery during the charging and discharging process and effectively extends the battery's lifespan. Attached Figure Description

[0061] To more clearly illustrate the technical solutions in the embodiments or related technologies of this application, the accompanying drawings used in the description of the embodiments or related technologies 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.

[0062] Figure 1 This is a schematic flowchart of a battery charging method based on bidirectional pulse current regulation in one embodiment;

[0063] Figure 2This is a schematic diagram of experimental data from a battery model simulation process for controlling bidirectional current rate variation in one embodiment.

[0064] Figure 3 This is a schematic diagram of experimental data from a battery model simulation process for controlling the frequency variation of bidirectional current in one embodiment.

[0065] Figure 4 This is a schematic diagram of experimental data from a battery model simulation process for controlling the variation of bidirectional current loading time in one embodiment.

[0066] Figure 5 This is a schematic flowchart illustrating a battery charging example based on bidirectional pulse current regulation in one embodiment.

[0067] Figure 6 This is a structural block diagram of a battery charging device based on bidirectional pulse current regulation in one embodiment;

[0068] Figure 7 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0069] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0070] The battery charging method based on bidirectional pulse current regulation provided in this application can be applied to environments where vehicle batteries are charged via charging piles. This method can be applied to terminals, servers, or systems including both terminals and servers, and is implemented through interaction between the terminal and server. The terminal can be, but is not limited to, various personal computers, laptops, etc. The terminal models the battery and simulates different bidirectional charging processes to analyze the impact of different bidirectional charging currents on the lifespan of the target battery. This allows for the selection of a suitable bidirectional current dynamic regulation strategy for the target bidirectional charging current of the target battery. Finally, this solution, through a classification study of different charging conditions, ensures that the impact of continuous high-frequency, high-rate, and long-term charging and discharging on the battery lifespan can be improved under different charging conditions and in a static state. This comprehensively improves the safety protection effect of the charging and discharging process on the battery and effectively extends the battery's service life.

[0071] In one exemplary embodiment, such as Figure 1 As shown, a battery charging method based on bidirectional pulse current regulation is provided. Taking the application of this method to a terminal as an example, the method includes the following steps S101 to S104. Wherein:

[0072] Step S101: Obtain the user's charging demand information, the target battery's battery status information, and the charging strategies for each charging condition of the charging pile. Based on the charging strategies for each charging condition, identify the charging process for each charging condition and the corresponding charging demand for each charging condition.

[0073] In this embodiment, the terminal responds to the user's selection operation by acquiring the user's charging demand information. This information includes the user's desired charging condition, i.e., the target charging condition selected by the user. Then, the terminal detects the battery status information of the target battery through its connection information with the battery. This battery status information includes the target battery's current remaining charge and its current capacity threshold. Next, the terminal queries the charging equipment's database for charging strategies for each charging condition. These charging conditions include, but are not limited to, normal charging, fast charging, and vehicle charging. Normal charging involves charging the battery with normal current and voltage values ​​over a longer time, suitable for situations where the battery is not in urgent need of use. Fast charging involves charging the battery with high frequency, high-rate current, and high voltage values ​​within a fixed time, resulting in a shorter charging time. Vehicle charging involves charging while the battery is in use, subjecting the battery to simultaneous charging and discharging losses, suitable for immediate charging in environments such as office work, leisure, and entertainment. The main battery wear and tear during normal charging comes from prolonged charging; during fast charging, it comes from high frequency, high current rates, and high voltage; and during vehicle charging, it comes from frequent charging and discharging. Finally, the terminal identifies the charging process and corresponding charging requirements for each charging condition based on the charging strategy. These requirements include charging limitations, such as upper limits on charging current and frequency fluctuations for normal charging, charging time and amount of charge for fast charging, and charging rate limits for vehicle charging. The specific identification process will be explained in detail later.

[0074] Step S102: Adjust the charging process for each charging condition using a bidirectional current strategy to obtain the bidirectional charging process for each charging condition, and construct the battery model of the target battery based on the battery state information of the target battery.

[0075] In this embodiment, the terminal adjusts the charging process for each charging condition using a bidirectional current strategy to obtain a bidirectional charging process for each charging condition. Based on the target battery's state information, a battery model of the target battery is constructed. The bidirectional charging process involves adding bidirectional current to certain stages of the traditional unidirectional charging process, thereby reducing the high-frequency, high-rate, and long-duration charging issues of the entire charging process. For example, in fast charging, a bidirectional current strategy is interspersed while ensuring the same amount of charge is delivered within the same timeframe, resulting in a bidirectional charging process for fast charging. Similarly, in vehicle charging, a bidirectional current strategy is interspersed during the charging process while maintaining the idling storage state of the electric vehicle, resulting in a bidirectional charging process for vehicle charging. This bidirectional charging process also needs to ensure that the target battery always remains within a certain SOC (State of Charge) range. The process of constructing the target battery model will be explained in detail later.

[0076] Step S103: Based on the charging demand corresponding to each charging condition and the bidirectional charging process of each charging condition, the charging process of each charging condition is simulated through the battery model to obtain the battery health status information corresponding to each charging condition. Based on the battery health status information corresponding to each charging condition, the bidirectional current dynamic control strategy for each charging condition is identified.

[0077] In this embodiment, the terminal simulates the charging process for each charging condition based on the charging demand and bidirectional charging flow corresponding to each charging condition, using a battery model to obtain battery health status information for each condition. Based on this information, the terminal identifies a bidirectional current dynamic control strategy for each charging condition. This strategy applies different current data to different stages of the bidirectional charging process, ensuring that the entire bidirectional charging process minimizes damage to the target battery and improves battery durability. The detailed simulation process will be explained in detail later.

[0078] Step S104: Identify the target charging condition corresponding to the user's charging demand information, and based on the target bidirectional charging process corresponding to the bidirectional current dynamic control strategy of the target charging condition, charge the target battery to complete the charging process of the target battery.

[0079] In this embodiment, the terminal identifies the target charging condition corresponding to the user's charging demand information, and performs charging processing on the target battery based on the target bidirectional charging process corresponding to the bidirectional current dynamic control strategy of the target charging condition, thereby completing the charging process of the target battery.

[0080] Based on the above scheme, after modeling the battery, simulations of different bidirectional charging processes are conducted to analyze the impact of different bidirectional charging currents on the life cycle of the target battery. This allows for the selection of a suitable dynamic bidirectional current control strategy for the target bidirectional charging current of the target battery. Finally, this scheme, through a classification study of different charging conditions, ensures that the impact of continuous high-frequency, high-rate, and long-term charge-discharge on the battery life cycle can be improved under different charging conditions and in a static state. This comprehensively enhances the safety protection effect of the battery during the charge-discharge process and effectively extends the battery's service life.

[0081] Optionally, based on the charging strategy for each charging condition, the charging process for each charging condition and the corresponding charging demand for each charging condition are identified, including: for each charging condition, querying the historical charging log information of the charging pile for each charging condition and the charging restriction conditions of the charging pile in the historical database of the charging pile, and identifying the charging process information of the charging pile for each battery model based on the historical charging log information; generating a sub-charging process of the charging pile for each battery model based on the charging process information of the charging pile for each battery model, and using the sub-charging processes of the charging pile for all battery models as the charging process of the charging pile; and identifying the restriction information of the restriction type of the charging condition based on the charging restriction conditions, and using the restriction information of the restriction type as the charging demand corresponding to the charging condition.

[0082] In this embodiment, for each charging condition, the terminal queries the charging pile's historical database for historical charging log information and charging restrictions for that condition. Based on these historical charging logs, the terminal identifies the charging process information for each battery model. The historical charging logs include information for each battery model. Then, within each battery model's charging logs, the terminal selects the charging process information corresponding to the most frequent identical charging processes, using this information as the charging process information for that battery model. Different battery models differ in their applicable current range, applicable voltage range, battery capacity, and the ratio of charging rate to current and voltage values. Therefore, discussing each battery model separately ensures the comprehensiveness and accuracy of the target battery analysis. Finally, based on the charging process information for each battery model, the terminal generates a sub-charging process for each battery model and combines these sub-charging processes for all battery models into the overall charging process for the charging pile. Finally, based on the charging constraints of the charging conditions, the terminal identifies the constraint types of the charging conditions and uses these constraint types as the corresponding charging requirements. These constraint types include current constraints, voltage constraints, charging time constraints, charging capacity constraints, and charging rate constraints.

[0083] Based on the above scheme, historical charging log information is used to identify the charging process information for each battery model, improving the comprehensiveness and accuracy of the identified charging process information. Then, the terminal analyzes the restriction information of each type of limitation under each charging condition to identify the corresponding charging demand, thus improving the comprehensiveness of the analysis for different charging conditions.

[0084] Optionally, the charging process for each charging condition is adjusted using a bidirectional current strategy to obtain a bidirectional charging process for each charging condition. This includes: for each charging condition, identifying the charging parameter information for each sub-charging process based on the sub-charging process for each battery model under the charging condition; generating bidirectional charging parameter information corresponding to each charging parameter information based on the bidirectional current strategy and the charging parameter information; and generating a sub-bidirectional charging process corresponding to each sub-charging process based on the bidirectional charging parameter information; and using the sub-bidirectional charging processes for all battery models as the charging process for the charging condition.

[0085] In this embodiment, for each charging condition, the terminal identifies the charging parameter information of each sub-charging process for each battery model. This charging parameter information includes, but is not limited to, parameters such as current frequency, current rate, current loading time, and current-voltage values. Each charging parameter information of a sub-charging process represents the charging parameter information of each charging stage within that sub-charging process. Each charging stage is a time stage pre-marked by the operator within each sub-charging process. Then, based on a bidirectional current strategy and the charging parameter information, the terminal generates bidirectional charging parameter information corresponding to each charging parameter, and based on this bidirectional charging parameter information, generates a sub-bidirectional charging process corresponding to each sub-charging process. The process of adding bidirectional current in this step involves replacing unidirectional current with all bidirectional currents. The charging parameter information for each bidirectional current is half that of the unidirectional current. Finally, the terminal uses the sub-bidirectional charging processes for all battery models as the charging process for the charging condition. The bidirectional current strategy involves changing unidirectional current to bidirectional current and evenly distributing the charging parameter information of the battery box current to the bidirectional current to obtain the bidirectional current charging parameter information.

[0086] Based on the above scheme, by identifying the charging parameter information of each charging stage in the sub-charging process, it is converted into bidirectional current, thereby improving the conversion accuracy of bidirectional current.

[0087] Optionally, based on the battery state information of the target battery, a battery model of the target battery is constructed, including: identifying the target battery model and the battery aging degree of the target battery based on the battery state information of the target battery; retrieving the initial battery model of the target battery model from the model database, and adjusting the model parameters in the initial battery model based on the battery aging degree of the target battery to obtain the battery model of the target battery.

[0088] In this embodiment, the terminal identifies the target battery model and its aging degree based on the target battery's state information. The aging degree is defined as the ratio between the target battery's current maximum capacity and its standard maximum capacity. The terminal retrieves an initial battery model for the target battery model from the model database and adjusts its parameters based on the aging degree to obtain a new battery model. This adjustment process involves the terminal identifying battery capacity parameters corresponding to different aging degrees in the model database and replacing these parameters with the original battery capacity parameters in the initial model. The model database includes battery models constructed by staff based on various battery models. Each battery model includes multiple parameters, such as maximum capacity, input current range, input voltage range, current rate, current frequency, and current loading time.

[0089] Based on the above scheme, by identifying the battery model and aging degree of the target battery, a battery model of the target battery can be constructed, thereby improving the accuracy of the battery model construction.

[0090] Optionally, based on the charging demand corresponding to each charging condition and the bidirectional charging process of each charging condition, the charging process of each charging condition is simulated using a battery model to obtain battery health status information corresponding to each charging condition. This includes: for each charging condition, based on the charging demand corresponding to the charging condition, identifying the charging adjustment constraints of the target bidirectional charging process corresponding to the target battery model, and generating each simulated bidirectional charging process of the battery model based on the charging adjustment constraints of the target bidirectional charging process; based on each simulated bidirectional charging process, simulating the charging process of the charging condition using the battery model to obtain sub-battery health status information corresponding to each simulated bidirectional charging process; and using the sub-battery health status information corresponding to all simulated bidirectional charging processes as the battery health status information corresponding to the charging condition.

[0091] In this embodiment, for each charging condition, the terminal identifies the charging adjustment constraints of the target bidirectional charging process corresponding to the target battery model based on the charging demand corresponding to the charging condition, and generates each simulated bidirectional charging process of the battery model based on the charging adjustment constraints of the target bidirectional charging process. The process of generating each simulated bidirectional charging current of the battery model is based on the charging adjustment constraints, thereby adjusting the data of each key factor affecting battery life to obtain each simulated bidirectional charging current.

[0092] Next, based on each simulated bidirectional charging process, the terminal simulates the charging process under each charging condition using a battery model, obtaining the sub-battery health status information corresponding to each simulated bidirectional charging process. Finally, the terminal uses the sub-battery health status information corresponding to all simulated bidirectional charging processes as the battery health status information corresponding to each charging condition. Specifically, the sub-battery health status information obtained from the simulated bidirectional charging conditions in this scheme represents the SEI (solid electrolyte interface) side reaction rate and the lithium dendrite growth side reaction rate of the target battery at different charging time points. Experimental studies have shown that the main characteristics of battery aging and lifespan degradation are the growth of the negative electrode SEI film (i.e., the solid electrolyte interface film) and the large-scale lithium dendrite growth induced by LLI (loss of lithium ion inventory, or battery capacity decay) at the end of lifespan degradation. Therefore, the faster the SEI film growth rate and the faster the lithium dendrite growth, the faster the battery aging / lifespan degradation rate.

[0093] Based on the above scheme, by using the limitation information of each charging condition, each simulated bidirectional charging process is generated, which improves the comprehensiveness and accuracy of the analysis of battery health status information.

[0094] Optionally, based on the battery health status information corresponding to each charging condition, a bidirectional current dynamic control strategy for each charging condition is identified, including: for each simulated bidirectional charging process, identifying the key factor values ​​of each key factor type in the simulated bidirectional charging process, and based on the key factor values ​​of each key factor type corresponding to each simulated bidirectional charging process and the sub-battery health status information of each simulated bidirectional charging process, identifying the influence information between each key factor type and battery aging; and based on the influence information between each key factor type and battery aging, identifying a bidirectional current dynamic control strategy for the charging condition.

[0095] In this embodiment, the terminal identifies the key factor values ​​for each key factor type in each simulated bidirectional charging process. Here, the key factor value for each key factor type refers to the key factor type corresponding to each key factor data point in the previous step, and the key factor value for that key factor type.

[0096] The terminal identifies the influence of each key factor type on battery aging based on the key factor values ​​for each simulated bidirectional charging process and the sub-battery health status information for each simulated bidirectional charging process. This influence information includes the ratio between the change in key factor values ​​for each key factor type and the change in battery life degradation value at each charging stage. The battery life degradation value is characterized by the side reaction rate of the SEI (solid electrolyte interface) and the lithium dendrite growth side reaction rate in liquid lithium-ion batteries. This allows the terminal to select the key factor values ​​for each key factor type with the lowest side reaction rate at each charging stage, thereby improving battery durability at each charging stage. Finally, based on the influence information between each key factor type and battery aging, the terminal identifies a bidirectional current dynamic control strategy for the charging conditions. This bidirectional current dynamic control strategy is based on the key factor values ​​of each bidirectional current for each key factor type, ordered according to the sequence of each charging stage.

[0097] During the experimental study, the bidirectional pulse experimental group showed better improvement in the re-intercalation process of active Li+ in the negative electrode, with no significant lithium dendrite growth in the negative electrode, effectively reducing LLI (lithium-ion loss) throughout the battery's lifespan, thus improving battery life and maintaining a high capacity retention rate. The control group, during fixed SOC storage, did not experience frequent lithium intercalation / deintercalation, resulting in a smaller LAM (loss of active material) in the positive electrode. However, significant lithium dendrite precipitation was observed on the negative electrode surface, indicating substantial lithium dendrite growth on the control group surface, demonstrating large-scale lithium plating-induced severe LLI. In the experimental group, due to frequent lithium intercalation / deintercalation, the positive electrode LAM slightly increased, but by controlling the active lithium on the negative electrode surface, LLI decreased, effectively offsetting the impact of the positive electrode LAM, resulting in a higher capacity retention rate compared to the control group. In summary, based on mid-to-high frequency bidirectional pulses, the influence of battery polarization can be effectively reduced by controlling battery voltage and negative electrode potential, ensuring that the rates of SEI side reactions and lithium plating side reactions dominated by internal degradation remain lower than those in the control group, thereby delaying battery capacity degradation.

[0098] Based on the above scheme, through classification studies of different charging conditions, it is ensured that the problem of continuous high frequency, high rate, and long duration of charging and discharging can be avoided under different charging conditions, thereby comprehensively improving the safety protection effect of the battery during the charging and discharging process.

[0099] Optionally, the method further includes: acquiring the battery state of the target battery during the battery storage stage and the battery model of the target battery; simulating the battery health status change process of the target battery under various bidirectional current strategies during the battery storage stage based on the battery state and various bidirectional current strategies of the battery model, thereby obtaining the battery health status change distribution information of each bidirectional current factor of the target battery during the battery storage stage; generating a target bidirectional current strategy for the target battery during the battery storage stage based on the battery health status change distribution information of each bidirectional current factor; and performing battery maintenance processing on the target battery during the battery storage stage based on the target bidirectional current strategy, thereby completing the battery maintenance task of the target battery during the battery storage stage.

[0100] In this embodiment, when the target battery is in a battery storage state, the terminal obtains the current battery state of the target battery and uses this current battery state as the storage battery state. The battery storage period refers to the time period outside of normal charging and discharging. This storage battery state characterizes the internal current operation mode of the target battery during the storage period. Then, in response to the worker's model upload operation, the terminal obtains the battery model corresponding to the internal current operation mode of the target battery during the storage period.

[0101] The bidirectional current strategy includes factor values ​​for bidirectional current factors such as the target battery's SOC region, bidirectional current frequency, bidirectional current rate, and bidirectional current loading time. Then, the terminal adjusts the factor value of each bidirectional current factor using a single-variable method to obtain various bidirectional current strategies. The terminal uses the target battery's idle state as a control group and each bidirectional current strategy as an experimental group. Using the target battery model, the terminal simulates the battery health status changes of the target battery under each bidirectional current strategy.

[0102] The specific process is as follows:

[0103] Step 1: Adjust the SOC region. After the battery completes x simulations of normal CCCV / DC use, adjust the battery's SOC to several SOC regions: 10%, (50%), 70%, and 90%. The 10% SOC simulates the control effect at a lower SOC, the 50% and 70% SOC simulate the control effect at a medium SOC, and the 90% SOC simulates the control effect at a higher SOC.

[0104] Step 2: Adjust the bidirectional current ratio. Building upon Step 1, apply a specific strategy to the battery's bidirectional current ratio, such as... Figure 2 The figure shows the current magnitude under bidirectional pulses at several different rates, such as 0.1C, 0.5C, 1C, 2C, and 4C.

[0105] Step 3: Adjust the bidirectional current frequency. Building upon Step 2, apply a specific strategy to the battery's bidirectional current frequency, such as... Figure 3 As shown: several different time intervals from 1 / 120 to 1 Hz simulate the frequency of the current under a bidirectional pulse.

[0106] Step 4: Adjust the bidirectional current loading time, such as Figure 4 As shown. Based on Step 3, a certain strategy for loading bidirectional current to the battery is applied: the total bidirectional current loading time is taken as 0.5 times, 1 time, and 1.5 times the CCCV / DC usage time, respectively.

[0107] Step 5: After adjusting the experimental group, adjust the control group. After the battery completes x simulated CCCV / DC normal use, adjust the battery SOC to 0% to simulate the optimal life maintenance condition. Then, set aside the battery for 0.5 times, 1 time, and 1.5 times the CCCV / DC usage time respectively, and compare the life degradation of the control group and the bidirectional current regulation group.

[0108] Then, the terminal sorts the battery health status changes of each bidirectional current strategy obtained from the above experiments according to the distribution of each bidirectional current factor, obtaining the battery health status change distribution information of each bidirectional current factor. Finally, based on the battery health status change distribution information of each bidirectional current factor, the terminal selects target factor values ​​such as current frequency, current rate, and current loading time that minimize the battery degradation, and uses the target factor values ​​of each bidirectional current factor as the target bidirectional current strategy for the target battery during the battery storage stage. Based on the target bidirectional current strategy, the terminal performs battery maintenance processing on the target battery during the battery storage stage, completing the battery maintenance task for the target battery during the battery storage stage.

[0109] Based on the above scheme, by applying pulsed charge and discharge currents of different cycles during battery storage, the capacity decay during battery storage can be reduced, thereby improving battery life during battery storage.

[0110] This application also provides an example of battery charging based on bidirectional pulse current regulation, such as... Figure 5 As shown, the specific processing procedure includes the following steps:

[0111] Step S501: Obtain the user's charging demand information, the target battery's battery status information, and the charging strategies for each charging condition of the charging pile.

[0112] Step S502: For each charging condition, query the historical charging log information of the charging pile under each charging condition and the charging restriction conditions of the charging pile under each charging condition in the historical database of the charging pile, and identify the charging process information of the charging pile for each battery model based on the historical charging log information.

[0113] Step S503: Based on the charging process information of the charging pile for each battery model, generate a sub-charging process of the charging pile for each battery model, and use the sub-charging processes of the charging pile for all battery models as the charging process of the charging pile.

[0114] Step S504: Based on the charging constraints of the charging conditions, identify the constraint information of the constraint type of the charging conditions, and use the constraint information of the constraint type as the charging demand corresponding to the charging conditions.

[0115] Step S505: For each charging condition, based on the sub-charging process of each battery model under the charging condition, identify the charging parameter information of each sub-charging process.

[0116] Step S506: Based on the bidirectional current strategy and the charging parameter information, generate bidirectional charging parameter information corresponding to each charging parameter information, and generate a sub-bidirectional charging process corresponding to each sub-charging process based on the bidirectional charging parameter information.

[0117] Step S507: Use the bidirectional charging process of all battery models as the charging process of the charging condition.

[0118] Step S508: Based on the battery status information of the target battery, identify the target battery model and the battery aging degree of the target battery.

[0119] Step S509: In the model database, retrieve the initial battery model of the target battery model, and adjust the model parameters in the initial battery model based on the battery aging degree of the target battery to obtain the battery model of the target battery.

[0120] Step S510: For each charging condition, based on the charging requirements corresponding to the charging condition, identify the charging adjustment constraints of the target bidirectional charging process corresponding to the target battery model, and generate each simulated bidirectional charging process of the battery model based on the charging adjustment constraints of the target bidirectional charging process.

[0121] Step S511: Based on each simulated bidirectional charging process, the charging process under the simulated charging condition is obtained through the battery model to obtain the sub-battery health status information corresponding to each simulated bidirectional charging process.

[0122] Step S512: Use the sub-battery health status information corresponding to all simulated bidirectional charging processes as the battery health status information corresponding to the charging conditions.

[0123] Step S513: For each simulated bidirectional charging process, identify the key factor values ​​of each key factor type in the simulated bidirectional charging process, and based on the key factor values ​​of each key factor type corresponding to each simulated bidirectional charging process and the sub-battery health status information of each simulated bidirectional charging process, identify the influence information between each key factor type and battery aging.

[0124] Step S514: Based on the influence information between each key factor type and battery aging, identify a bidirectional current dynamic control strategy for charging conditions.

[0125] Step S515: Identify the target charging condition corresponding to the user's charging demand information, and based on the target bidirectional charging process corresponding to the bidirectional current dynamic control strategy of the target charging condition, charge the target battery to complete the charging process of the target battery.

[0126] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0127] Based on the same inventive concept, this application also provides a battery charging device based on bidirectional pulse current regulation for implementing the battery charging method based on bidirectional pulse current regulation described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations of one or more embodiments of the battery charging device based on bidirectional pulse current regulation provided below can be found in the limitations of the battery charging method based on bidirectional pulse current regulation described above, and will not be repeated here.

[0128] In one exemplary embodiment, such as Figure 6 As shown, a battery charging device based on bidirectional pulse current regulation is provided, including: an acquisition module 610, a construction module 620, an identification module 630, and a charging module 640, wherein:

[0129] The acquisition module 610 is used to acquire the user's charging demand information, the target battery's battery status information, and the charging strategies of each charging condition of the charging pile, and based on the charging strategies of each charging condition, to identify the charging process of each charging condition and the charging demand corresponding to each charging condition.

[0130] The construction module 620 is used to adjust the charging process of each charging condition through a bidirectional current strategy to obtain the bidirectional charging process of each charging condition, and to construct the battery model of the target battery based on the battery state information of the target battery.

[0131] The identification module 630 is used to simulate the charging process of each charging condition based on the charging demand corresponding to each charging condition and the bidirectional charging process of each charging condition, through the battery model, to obtain the battery health status information corresponding to each charging condition, and to identify the bidirectional current dynamic control strategy of each charging condition based on the battery health status information corresponding to each charging condition.

[0132] The charging module 640 is used to identify the target charging condition corresponding to the user's charging demand information, and to charge the target battery based on the target bidirectional charging process corresponding to the bidirectional current dynamic control strategy of the target charging condition, thereby completing the charging process of the target battery.

[0133] Optionally, the acquisition module 610 is specifically used for:

[0134] For each charging condition, the historical charging log information of the charging pile under the charging condition and the charging restriction conditions of the charging pile under the charging condition are queried in the historical database of the charging pile. Based on the historical charging log information, the charging process information of the charging pile for each battery model is identified.

[0135] Based on the charging process information of the charging pile for each battery model, a sub-charging process of the charging pile for each battery model is generated, and the sub-charging process of the charging pile for all battery models is used as the charging process of the charging pile.

[0136] Based on the charging constraints of the charging condition, the constraint information of the constraint type of the charging condition is identified, and the constraint information of the constraint type is used as the charging demand corresponding to the charging condition.

[0137] Optionally, the building module 620 is specifically used for:

[0138] For each charging condition, based on the charging condition and the sub-charging process for each battery model, identify the charging parameter information for each sub-charging process;

[0139] Based on the bidirectional current strategy and the charging parameter information, bidirectional charging parameter information corresponding to each charging parameter information is generated, and based on the bidirectional charging parameter information, a sub-bidirectional charging process corresponding to each sub-charging process is generated.

[0140] The sub-bidirectional charging process for all battery models is used as the charging process for the aforementioned charging condition.

[0141] Optionally, the building module 620 is specifically used for:

[0142] Based on the battery status information of the target battery, the target battery model and the degree of battery aging of the target battery are identified;

[0143] In the model database, the initial battery model of the target battery model is retrieved, and the model parameters in the initial battery model are adjusted based on the battery aging degree of the target battery to obtain the battery model of the target battery.

[0144] Optionally, the identification module 630 is specifically used for:

[0145] For each charging condition, based on the charging demand corresponding to the charging condition, the charging adjustment constraints of the target bidirectional charging process corresponding to the target battery model are identified, and based on the charging adjustment constraints of the target bidirectional charging process, each simulated bidirectional charging process of the battery model is generated.

[0146] Based on each of the simulated bidirectional charging processes, the charging process of the charging condition is simulated using the battery model to obtain the sub-battery health status information corresponding to each simulated bidirectional charging process.

[0147] The health status information of all sub-batteries corresponding to the simulated bidirectional charging process is used as the battery health status information corresponding to the charging condition.

[0148] Optionally, the identification module 630 is specifically used for:

[0149] For each simulated bidirectional charging process, the key factor values ​​of each key factor type in the simulated bidirectional charging process are identified, and based on the key factor values ​​of each key factor type corresponding to each simulated bidirectional charging process and the sub-battery health status information of each simulated bidirectional charging process, the influence information between each key factor type and battery aging is identified.

[0150] Based on the influence information between each key factor type and battery aging, a bidirectional current dynamic regulation strategy is identified for the charging condition.

[0151] Optionally, the device further includes:

[0152] The simulation module is used to obtain the battery state of the target battery during the battery storage stage and the battery model of the target battery. Based on the battery state, the module simulates the battery health status change process of the target battery under various bidirectional current strategies during the battery storage stage through various bidirectional current strategies of the battery model, and obtains the battery health status change distribution information of each bidirectional current factor of the target battery during the battery storage stage.

[0153] The generation module is used to generate a target bidirectional current strategy for the target battery during the battery storage stage based on the battery health state change distribution information of each of the bidirectional current factors, and to perform battery maintenance processing on the target battery during the battery storage stage based on the target bidirectional current strategy, thereby completing the battery maintenance task of the target battery during the battery storage stage.

[0154] The modules in the aforementioned battery charging device based on bidirectional pulse current regulation can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0155] In one exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 7As shown, the computer device includes a processor, memory, input / output interface, communication interface, display unit, and input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interface. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The input / output interface is used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When executed by the processor, the computer program implements a battery charging method based on bidirectional pulse current regulation. The display unit is used to form a visually visible image and can be a display screen, projection device, or virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[0156] Those skilled in the art will understand that Figure 7 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0157] In one exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the method described in any one of the first aspects.

[0158] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps of the method described in any one of the first aspects.

[0159] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps of the method described in any one of the first aspects.

[0160] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0161] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0162] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0163] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A battery charging method based on bidirectional pulsed current regulation, characterized in that, The method comprises: obtaining charging demand information of a user, battery state information of a target battery, and charging strategies of each charging working condition of a charging pile, and identifying charging processes of each charging working condition and charging demands corresponding to each charging working condition based on the charging strategies of each charging working condition; for each charging working condition, identifying each charging parameter information of each sub-charging process of each battery model based on the sub-charging process of each battery model of the charging working condition; based on the bidirectional current strategy and each charging parameter information, generating bidirectional charging parameter information corresponding to each charging parameter information, and generating a sub-bidirectional charging process corresponding to each sub-charging process based on each bidirectional charging parameter information; the sub-bidirectional charging processes of all battery models are used as the charging processes of the charging working condition; based on the battery state information of the target battery, a battery model of the target battery is constructed; based on the charging demand corresponding to each charging working condition and the bidirectional charging process of each charging working condition, the charging process of each charging working condition is simulated through the battery model to obtain battery health state information corresponding to each charging working condition, and a bidirectional current dynamic regulation strategy of each charging working condition is identified based on the battery health state information corresponding to each charging working condition; a target charging working condition corresponding to the charging demand information of the user is identified, and the target battery is charged based on a target bidirectional charging process corresponding to the bidirectional current dynamic regulation strategy of the target charging working condition to complete the charging process of the target battery.

2. The method of claim 1, wherein, The method comprises: for each charging working condition, each historical charging log information of the charging pile in the charging working condition and the charging limit condition of the charging pile in the charging working condition are queried in a historical database of the charging pile, and based on each historical charging log information, charging process information of each battery model of the charging pile is identified; based on the charging process information of each battery model of the charging pile, a sub-charging process of each battery model of the charging pile is generated, and the sub-charging processes of all battery models of the charging pile are used as the charging processes of the charging pile; based on the charging limit condition of the charging working condition, limit information of a limit type of the charging working condition is identified, and the limit information of the limit type is used as the charging demand corresponding to the charging working condition.

3. The method of claim 1, wherein, The method comprises: based on the battery state information of the target battery, a target battery model of the target battery and a battery aging degree of the target battery are identified; in a model database, an initial battery model of the target battery model is called, and based on the battery aging degree of the target battery, the physical properties of the target battery, and the battery life change mechanism, the model parameters in the initial battery model are adjusted to obtain the battery model of the target battery.

4. The method of claim 3, wherein, The battery health state information corresponding to each charging condition is obtained by simulating the charging process of each charging condition based on the charging demand corresponding to each charging condition and the bidirectional charging process of each charging condition through the battery model, including: For each charging condition, the charging adjustment limit condition of the target bidirectional charging process corresponding to the target battery model is identified based on the charging demand corresponding to the charging condition, and each simulation bidirectional charging process of the battery model is generated based on the charging adjustment limit condition of the target bidirectional charging process. Based on each simulation bidirectional charging process, the charging process of the charging condition is simulated through the battery model to obtain the sub-battery health state information corresponding to each simulation bidirectional charging process. The sub-battery health state information corresponding to all simulation bidirectional charging processes is used as the battery health state information corresponding to the charging condition.

5. The method of claim 4, wherein, The bidirectional current dynamic regulation strategy of each charging condition is identified based on the battery health state information corresponding to each charging condition, including: For each simulation bidirectional charging process, the key factor value of each key factor type of the simulation bidirectional charging process is identified, and the influence information between each key factor type and battery aging is identified based on the key factor value of each key factor type corresponding to each simulation bidirectional charging process and the sub-battery health state information of each simulation bidirectional charging process. The bidirectional current dynamic regulation strategy of the charging condition is identified based on the influence information between each key factor type and battery aging.

6. The method of claim 1, wherein, The method further includes: obtaining the resting battery state of the target battery in the battery resting stage and the battery model of the target battery, and simulating the battery health state change process of the target battery under each bidirectional current strategy condition in the battery resting stage through each bidirectional current strategy of the battery model based on the resting battery state, to obtain the battery health state change distribution information of each bidirectional current factor of the target battery in the battery resting stage; based on the battery health state change distribution information of each bidirectional current factor, generating the target bidirectional current strategy of the target battery in the battery resting stage, and based on the target bidirectional current strategy, performing battery maintenance processing on the target battery in the battery resting state to complete the battery maintenance task of the target battery in the battery resting stage.

7. A battery charging device based on bidirectional pulsed current regulation, characterized by, The device includes: an acquisition module configured to acquire charging demand information of a user, battery state information of a target battery, and charging strategies of each charging condition of a charging pile, and identify the charging process of each charging condition and the charging demand corresponding to each charging condition based on the charging strategies of each charging condition. The construction module is configured to, for each charging condition, identify charging parameter information of each sub-charging process of each battery model based on the sub-charging process of each battery model under the charging condition, generate bidirectional charging parameter information corresponding to each charging parameter information based on the bidirectional current strategy and the charging parameter information, and generate a sub-bidirectional charging process corresponding to each sub-charging process based on the bidirectional charging parameter information; take the sub-bidirectional charging processes of all battery models as the charging process of the charging condition; and construct a battery model of the target battery based on battery state information of the target battery. The identification module is configured to simulate a charging process of each charging condition by the battery model based on charging demand corresponding to each charging condition and the bidirectional charging process of each charging condition, obtain battery health state information corresponding to each charging condition, and identify a bidirectional current dynamic regulation strategy of each charging condition based on the battery health state information corresponding to each charging condition. The charging module is configured to identify a target charging condition corresponding to the charging demand information of the user, and perform a charging process on the target battery based on a target bidirectional charging process corresponding to the bidirectional current dynamic regulation strategy of the target charging condition, to complete the charging process of the target battery.

8. The apparatus of claim 7, wherein, The acquisition module is specifically configured to: For each charging condition, query historical charging log information of the charging pile under the charging condition and charging limit conditions of the charging pile under the charging condition in a historical database of the charging pile, and identify charging process information of each battery model of the charging pile based on the historical charging log information; generate a sub-charging process of each battery model of the charging pile based on the charging process information of each battery model of the charging pile, and take the sub-charging processes of all battery models of the charging pile as the charging process of the charging pile; identify limit information of a limit type of the charging condition based on the charging limit conditions of the charging condition, and take the limit information of the limit type as charging demand corresponding to the charging condition. 9.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-8 when the computer program is executed by the processor. The processor executes the computer program to implement the steps of the method in any one of claims 1 to 6.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the method in any one of claims 1 to 6.

11. A computer program product comprising a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the method in any one of claims 1 to 6.

Images