Method for determining state of health of battery, charging and discharging system, apparatus, device, and medium

Abstract

A method for determining the state of health of a battery, a charging and discharging system, an apparatus, a device, and a medium. The method comprises: during the process of charging an electrical apparatus, inputting excitation signals to a first battery in the electrical apparatus, the excitation signals comprising at least two groups outputted in sequence; on the basis of the at least two groups of excitation signals, acquiring at least two groups of target battery parameters of the first battery, the target battery parameters comprising battery parameters of the first battery during target time periods, and the target time periods comprising excitation time periods of the excitation signals and non-excitation time periods adjacent to the excitation time periods; on the basis of each group of target battery parameters, performing parameter identification on a battery model of the first battery, and obtaining an identification result corresponding to each group of target time periods; and acquiring a charging capacity of the first battery at a reference moment in each group of target time periods, and, on the basis of the identification result of each group of target time periods and the charging capacity at the corresponding reference moment, determining the state of health of the first battery.

Description

Methods for determining battery health status, charging and discharging systems, devices, equipment, and media

[0001] Cross-references

[0002] This application incorporates Chinese Patent Application No. 2024120000597, filed on December 31, 2024, entitled “Method for determining battery health status, charging and discharging system, apparatus, device and medium”, which is incorporated herein by reference in its entirety. Technical Field

[0003] This application relates to the field of battery management, and in particular to a method, apparatus, server, and related products for determining battery health status. Background Technology

[0004] Batteries are very important components in electrical devices and energy storage systems. The State of Health (SOH) of a battery is an important indicator used to evaluate battery performance and lifespan.

[0005] In related technologies, battery SOH is usually estimated using an adaptive algorithm based on the current and voltage curves of the battery during the charging process, but the accuracy of the obtained battery SOH is poor. Summary of the Invention

[0006] In view of the above problems, this application provides a method for determining battery health status, a charging and discharging system, an apparatus, a device, and a medium.

[0007] In a first aspect, this application provides a method for determining battery health status, the method comprising:

[0008] During the charging process of the electrical device, an excitation signal is input to the first battery in the electrical device; the excitation signal includes at least two sets output sequentially.

[0009] Based on at least two sets of excitation signals, at least two sets of target battery parameters of the first battery are obtained; the target battery parameters include the battery parameters of the first battery in a target time period, and the target time period includes the excitation period of the excitation signal and the non-excitation period adjacent to the excitation period;

[0010] Based on the parameters of each set of target batteries, the battery model of the first battery is parameter identified to obtain the identification results for each set of target time periods.

[0011] Obtain the charging capacity of the first battery at a reference time in each target time period, and determine the health status of the first battery based on the identification results of each target time period and the charging capacity at the corresponding reference time.

[0012] In this embodiment, by inputting an excitation signal during the charging process of the power-consuming device, the steady-state charging process of the battery is broken, so as to fully stimulate the dynamic characteristics of the battery. In this way, the parameters of the battery model are identified according to the target battery parameters that reflect the dynamic characteristics of the battery, thereby improving the accuracy of parameter identification and correspondingly improving the accuracy of the battery health status determined based on the identification results.

[0013] In one embodiment, inputting an excitation signal to a first battery in the power-consuming device includes:

[0014] Periodically acquire the charging parameters of the first battery;

[0015] An excitation signal is input to the first battery according to the charging parameters.

[0016] In this embodiment, the charging parameters of the first battery are periodically acquired, which can adapt to the changing charging state of the battery. Then, an excitation signal is input to the first battery based on the charging parameters, which improves the adaptability between the input excitation signal and the battery charging state, thereby improving the control accuracy of the input excitation signal.

[0017] In one embodiment, an excitation signal is input to the first battery according to charging parameters, including:

[0018] When the state of charge in the charging parameters meets the preset triggering conditions, a set of excitation signals is input to the first battery; the preset triggering conditions include the change in the state of charge reaching a preset change threshold; or the state of charge reaching a preset state threshold.

[0019] In this embodiment, the state of charge of the battery changes continuously during the charging process until it is fully charged. Using the state of charge or the change in state of charge as the triggering condition for the input excitation signal allows the excitation signal to be applied to the first battery under different states of charge, which helps to stimulate the dynamic characteristics of the battery and thus improve the accuracy of the battery health status.

[0020] In one embodiment, an excitation signal is input to the first battery according to charging parameters, including:

[0021] At least two sets of excitation signals are input to the first battery according to the charging current in the charging parameters; the at least two sets of excitation signals include at least one of negative excitation signal and positive excitation signal.

[0022] In this embodiment, an excitation signal different from the charging current is input to the first battery based on the charging current of the first battery during the charging process, so as to break the steady-state charging process of the battery, fully stimulate the dynamic characteristics of the battery, improve the accuracy of parameter identification, and thus improve the accuracy of battery health status.

[0023] In one embodiment, an excitation signal is input to the first battery according to charging parameters, including:

[0024] The target excitation amplitude is determined based on the charging rate in the charging parameters;

[0025] An excitation signal with the target excitation amplitude is input to the first battery.

[0026] In this embodiment, the target excitation amplitude of the excitation signal is determined based on the charging rate of the first battery, which improves the matching degree between the excitation signal and the battery charging rate, thereby improving charging stability.

[0027] In one embodiment, the battery model of the first battery is parameter identified based on each set of target battery parameters to obtain the identification results corresponding to each set of target time periods, including:

[0028] For each set of target battery parameters, the battery model of the first battery is parameter identified based on the target battery parameters to obtain the open circuit voltage of the first battery.

[0029] The open-circuit voltage of the first battery is used as the identification result for each target time period.

[0030] In this embodiment, the parameters of the battery model are identified based on the target battery parameters of the first battery under the action of the input excitation signal. Since the charging of the target battery parameters under the action of the excitation signal fully demonstrates the dynamic characteristics of the battery, the accuracy of the model identification is improved. Therefore, the accurate open-circuit voltage is obtained, which provides an accurate data basis for the subsequent determination of the battery health status and improves the accuracy of the battery health status accordingly.

[0031] In one embodiment, the battery model includes an equivalent circuit model; parameter identification is performed on the battery model of the first battery based on the target battery parameters to obtain the open-circuit voltage of the first battery, including:

[0032] Based on the target battery parameters, the equivalent circuit model of the first battery is parameter identified to obtain the open-circuit voltage of the first battery.

[0033] In this embodiment, the equivalent circuit model of the first battery is used for parameter identification. The model parameters of the equivalent circuit model include an open circuit, which can directly identify the open circuit voltage of the first battery, thus improving the convenience and efficiency of obtaining the open circuit voltage.

[0034] In one embodiment, the health status of the first battery is determined based on the identification results of each target time period and the charging capacity at the corresponding reference time, including:

[0035] The state of charge of the first battery in each target time period is determined based on the identification results of each target time period.

[0036] The health status of the first battery is determined based on the state of charge of each target time period and the charging capacity at the corresponding reference time.

[0037] In this embodiment, the state of charge (SOC) at different target time periods and the charging capacity at the corresponding reference time can accurately reflect the actual capacity of the first battery during the charging process. The battery health status correspondingly characterizes the change in the actual capacity of the battery. Therefore, determining the health status of the first battery based on the SOC at different target time periods and the charging capacity at the corresponding reference time can improve the reliability of the battery health status.

[0038] In one embodiment, the identification result includes the open-circuit voltage of the first battery; determining the state of charge of the first battery in each target time period based on the identification result of each target time period includes:

[0039] For each target time period, the state of charge corresponding to the open circuit voltage is determined according to the correspondence between the open circuit voltage and the state of charge, based on the open circuit voltage of the first battery, and is used as the state of charge of the first battery in the target time period.

[0040] In this embodiment, the state of charge of the first battery is determined by using the correspondence between the open-circuit voltage and the state of charge based on the identified open-circuit voltage. The process is convenient and quick, improving the convenience and efficiency of determining the state of charge.

[0041] In one embodiment, the health status of the first battery is determined based on the state of charge of each target time period and the charging capacity at the corresponding reference time, including:

[0042] The maximum capacity of the first battery is determined based on the state of charge of each target time period and the charging capacity at the corresponding reference time.

[0043] The health status of the first battery is determined based on its maximum capacity and the rated capacity of the first battery.

[0044] In this embodiment, since the excitation signal input to the first battery fully stimulates the dynamic characteristics of the first battery, the accuracy of battery model parameter identification is improved, and a more accurate and reliable state of charge and charging capacity are obtained accordingly. Based on the more accurate and reliable state of charge and charging capacity, the maximum capacity of the first battery is determined, and the accuracy of the maximum capacity is improved simultaneously to restore the actual maximum capacity of the first battery, thereby improving the accuracy and precision of the battery health status determined based on the maximum capacity.

[0045] In one embodiment, determining the maximum capacity of the first battery based on the state of charge of each target time period and the charging capacity at the corresponding reference time includes:

[0046] The state of charge of each target time period and the charging capacity at the corresponding reference time are treated as a set of data to be processed.

[0047] Linear fitting is performed on at least three sets of data to be processed, or two-point fitting is performed on two sets of data to be processed, to obtain the slope of the fitted line, and the slope is used as the maximum capacity of the first battery.

[0048] In this embodiment, the slope of the fitted line is determined by linear fitting or two-point fitting, which is used as the maximum capacity of the first battery. This simplifies the process of determining the maximum capacity, and the data fitting process is efficient and convenient, thus improving the efficiency of determining the maximum capacity.

[0049] Secondly, this application also provides a method for determining battery health status, the method comprising:

[0050] Send an excitation request; the excitation request is used to instruct the charging device to output an excitation signal to the first battery in the power-consuming device during the charging process; the excitation signal includes at least two sets output sequentially;

[0051] Based on at least two sets of excitation signals, at least two sets of target battery parameters of the first battery are obtained; the target battery parameters include the battery parameters of the first battery in a target time period, and the target time period includes the excitation period of the excitation signal and the non-excitation period adjacent to the excitation period;

[0052] Based on the parameters of each set of target batteries, the battery model of the first battery is parameter identified to obtain the identification results for each set of target time periods.

[0053] Obtain the charging capacity of the first battery at a reference time in each target time period, and determine the health status of the first battery based on the identification results of each target time period and the charging capacity at the corresponding reference time.

[0054] In this embodiment, by requesting an excitation signal to be input during the charging process of the power-consuming device, the steady-state charging process of the battery is broken, so as to fully stimulate the dynamic characteristics of the battery. In this way, the parameters of the battery model are identified according to the target battery parameters that reflect the dynamic characteristics of the battery, thereby improving the accuracy of parameter identification and correspondingly improving the accuracy of the battery health status determined based on the identification results.

[0055] In one embodiment, at least two sets of target battery parameters for the first battery are obtained based on at least two sets of excitation signals, including:

[0056] For each set of excitation signals, the battery parameters of the first battery during the excitation period and the battery parameters outside the excitation period are obtained according to the identification signal of the excitation signal.

[0057] The battery parameters of the first battery during the excitation period and the battery parameters during the non-excitation period are used as a set of target battery parameters.

[0058] In this embodiment of the application, the identification signal of the excitation signal can accurately indicate the start and end of the excitation signal. Based on the identification signal, the positioning accuracy during the excitation period and the non-excitation period can be improved, thereby improving the reliability of obtaining the target battery parameters.

[0059] In one embodiment, battery parameters of the first battery during the excitation period and battery parameters outside the excitation period are obtained based on the identification signal in the excitation signal, including:

[0060] In the absence of a flag signal, the charging current and charging voltage of the first battery are sampled as battery parameters of the first battery during the non-excitation period.

[0061] When an identification signal is detected, the charging current and charging voltage of the first battery are sampled as battery parameters of the first battery during the excitation period.

[0062] In this embodiment, the excitation and non-excitation periods are accurately located based on the identification signal, which improves the reliability of the target battery parameters. At the same time, the charging current and charging voltage of the first battery are used as battery parameters to provide an accurate data basis for subsequent parameter identification, which can improve the accuracy of parameter identification accordingly.

[0063] In one embodiment, the duration of the excitation period is greater than or equal to the sampling period of the battery parameters of the first battery during the excitation period.

[0064] In this embodiment, the excitation period is longer than the sampling period during the excitation period, which allows at least one set of battery parameters to be sampled during the excitation period, thereby improving the reliability of battery parameter acquisition.

[0065] In one embodiment, the sampling frequency of the battery parameters of the first battery during the excitation period is greater than the sampling frequency of the battery parameters of the first battery during the non-excitation period.

[0066] In this embodiment, the sampling frequency during the excitation period is greater than that during the non-excitation period, which can increase the amount of battery parameter data obtained during the excitation period, so as to obtain more battery parameters under disturbance conditions, fully stimulate the dynamic characteristics of the battery, and improve the accuracy of the determined battery health status.

[0067] In one embodiment, obtaining the charging capacity of the first battery at a reference time in each target time period includes:

[0068] For each target time period, obtain any moment in the excitation time period within the target time period as a reference moment;

[0069] The charging capacity of the first battery at the reference time is determined based on the battery current of the first battery from the start of charging to the reference time.

[0070] In this embodiment of the application, any moment in the excitation period is used as a reference moment to obtain the charging capacity of the first battery from the start of charging to the reference moment, so as to provide an accurate data basis for subsequent determination of the battery health status, thereby improving the accuracy of the determined battery health status.

[0071] Thirdly, this application also provides a charging and discharging system, including an electrical device and a charging device;

[0072] The charging device is used to input an excitation signal to a first battery in the electrical device during the charging process; the excitation signal includes at least two sets of signals output sequentially.

[0073] The charging device is also used to acquire at least two sets of target battery parameters of the first battery based on at least two sets of excitation signals; the target battery parameters include the battery parameters of the first battery in a target time period, the target time period including the excitation period of the excitation signal and the non-excitation period adjacent to the excitation period;

[0074] The charging device is also used to identify the parameters of the battery model of the first battery according to the parameters of each group of target batteries, and to obtain the identification results corresponding to each group of target time periods.

[0075] The charging device is also used to obtain the charging capacity of the first battery at a reference time in each target time period, and to determine the health status of the first battery based on the identification results of each target time period and the charging capacity at the corresponding reference time.

[0076] In one embodiment, the charging and discharging system further includes a relay device that communicates with the power-consuming device and the charging device; the relay device is used to control the charging device to input an excitation signal to the first battery in the power-consuming device in response to an excitation request.

[0077] Fourthly, this application also provides a charging and discharging system, including an electrical device and a charging device;

[0078] The power device is used to send an excitation request; the excitation request is used to instruct the charging device to output an excitation signal to the first battery in the power device during the charging process; the excitation signal includes at least two sets output sequentially.

[0079] The electrical device is also used to acquire at least two sets of target battery parameters of the first battery based on at least two sets of excitation signals; the target battery parameters include the battery parameters of the first battery in a target time period, the target time period including the excitation period of the excitation signal and the non-excitation period adjacent to the excitation period;

[0080] The electrical device is also used to identify the parameters of the battery model of the first battery according to the parameters of each group of target batteries, so as to obtain the identification results corresponding to each group of target time periods;

[0081] The power supply device is also used to obtain the charging capacity of the first battery at a reference time in each target time period, and to determine the health status of the first battery based on the identification results of each target time period and the charging capacity at the corresponding reference time.

[0082] In one embodiment, the charging and discharging system further includes a relay device that communicates with the power-consuming device and the charging device; the relay device is used to control the charging device to input an excitation signal to the first battery in the power-consuming device in response to an excitation request.

[0083] Fifthly, this application also provides a charging and discharging system, including an electrical device, a charging device, and a server;

[0084] The charging device is used to input an excitation signal to a first battery in the electrical device during the charging process; the excitation signal includes at least two sets of signals output sequentially; the first battery is used to generate at least two sets of target battery parameters under the action of the excitation signal; the target battery parameters include the battery parameters of the first battery in a target time period, and the target time period includes the excitation period of the excitation signal and the non-excitation period adjacent to the excitation period.

[0085] The server is used to obtain target battery parameters, and to perform parameter identification on the battery model of the first battery according to each set of target battery parameters, to obtain the identification results for each target time period, and to obtain the charging capacity of the first battery at a reference time in each target time period. Based on the identification results of each target time period and the charging capacity at the corresponding reference time, the health status of the first battery is determined.

[0086] In one embodiment, the charging and discharging system further includes a relay device that communicates with the power-consuming device and the charging device; the relay device is used to control the charging device to input an excitation signal to the first battery in the power-consuming device in response to an excitation request.

[0087] Sixthly, this application also provides a battery health status determination device, the device comprising:

[0088] An excitation input module is used to input an excitation signal to a first battery in an electrical device during the charging process; the excitation signal includes at least two sets of signals output sequentially.

[0089] The parameter acquisition module is used to acquire at least two sets of target battery parameters of the first battery based on at least two sets of excitation signals; the target battery parameters include the battery parameters of the first battery in a target time period, and the target time period includes the excitation period of the excitation signal and the non-excitation period adjacent to the excitation period;

[0090] The parameter identification module is used to identify the parameters of the battery model of the first battery according to each set of target battery parameters, and obtain the identification results for each set of target time periods.

[0091] The status determination module is used to obtain the charging capacity of the first battery at a reference time in each target time period, and determine the health status of the first battery based on the identification results of each target time period and the charging capacity at the corresponding reference time.

[0092] Seventhly, this application also provides a battery health status determination device, the device comprising:

[0093] An excitation module is used to send an excitation signal request; the excitation signal request is used to instruct the charging device to input an excitation signal to the first battery in the power-consuming device during the charging process; the excitation signal includes at least two sets output sequentially.

[0094] The parameter module is used to obtain at least two sets of target battery parameters for the first battery based on at least two sets of excitation signals; the target battery parameters include the battery parameters of the first battery in a target time period, and the target time period includes the excitation period of the excitation signal and the non-excitation period adjacent to the excitation period;

[0095] The identification module is used to identify the parameters of the battery model of the first battery according to the parameters of each group of target batteries, and obtain the identification results corresponding to each group of target time periods.

[0096] The status module is used to obtain the charging capacity of the first battery at a reference time in each target time period, and to determine the health status of the first battery based on the identification results of each target time period and the charging capacity at the corresponding reference time.

[0097] Eighthly, this application also provides a computer device, 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 either the first or second aspect above.

[0098] Ninthly, this application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the method described in either the first or second aspect above.

[0099] In a tenth aspect, this application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the method described in either the first or second aspect above.

[0100] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0101] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the embodiments of this application will be briefly described below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on the drawings without creative effort. In the drawings:

[0102] Figure 1 is an application environment diagram of a battery health status determination method in one embodiment;

[0103] Figure 2 is a flowchart illustrating a method for determining battery health status in one embodiment;

[0104] Figure 3 is a schematic diagram of the process of inputting an excitation signal to the first battery in one embodiment;

[0105] Figure 4 is a schematic diagram of the process of inputting an excitation signal to the first battery in another embodiment;

[0106] Figure 5 is a flowchart illustrating the process of obtaining the identification result in one embodiment;

[0107] Figure 6 is a schematic diagram of the equivalent circuit model of the first battery in one embodiment;

[0108] Figure 7 is a flowchart illustrating the process of determining the health status of the first battery in one embodiment;

[0109] Figure 8 is a flowchart illustrating the process of determining the health status of the first battery in another embodiment;

[0110] Figure 9 is a flowchart illustrating the process of determining the maximum capacity of the first battery in one embodiment;

[0111] Figure 10 is a flowchart illustrating the battery health status determination method in another embodiment;

[0112] Figure 11 is a flowchart illustrating the process of obtaining target battery parameters in one embodiment;

[0113] Figure 12 is a flowchart illustrating the process of obtaining battery parameters during the excitation period and the non-excitation period in one embodiment;

[0114] Figure 13 is a schematic diagram showing the changes in charging current and charging voltage of the first battery during the charging process in one embodiment;

[0115] Figure 14 is a schematic diagram of the process for obtaining charging capacity in one embodiment;

[0116] Figure 15 is a flowchart illustrating the battery health status determination method in another embodiment;

[0117] Figure 16 is a schematic diagram of the charging and discharging system in one embodiment;

[0118] Figure 17 is a schematic diagram of the charging and discharging system in another embodiment;

[0119] Figure 18 is a schematic diagram of the charging and discharging system in another embodiment;

[0120] Figure 19 is a schematic diagram of the charging and discharging system in another embodiment;

[0121] Figure 20 is a structural block diagram of a battery health status determination device in one embodiment;

[0122] Figure 21 is a structural block diagram of a battery health status determination device in another embodiment;

[0123] Figure 22 is an internal structure diagram of a computer device in one embodiment. Detailed Implementation

[0124] 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.

[0125] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application; the term "comprising" and any variations thereof in the specification, claims and foregoing description of the drawings are intended to cover non-exclusive inclusion.

[0126] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0127] In the description of the embodiments of this application, the term "and / or" is merely a description of the relationship between associated objects, indicating that three relationships can exist. For example, 3 and / or 4 can represent: 3 existing alone, 3 and 4 existing simultaneously, and 4 existing alone. In the description of the embodiments of this application, the term "multiple" refers to two or more (including two), unless otherwise explicitly specified.

[0128] Batteries are crucial components in electrical devices and energy storage systems. The State of Health (SOH) of a battery is an important indicator used to assess battery performance and lifespan.

[0129] Taking batteries used in new energy vehicles as an example, battery capacity determines the vehicle's range. As new energy vehicles are used, battery capacity degrades, leading to a decrease in the battery's state of health (SOH). Therefore, the battery's health status is crucial for the use and maintenance of new energy vehicles.

[0130] In related technologies, battery state of harm (SOH) is typically estimated using adaptive algorithms based on the current and voltage curves during charging. However, the current and voltage curves of a battery are relatively stable during charging, without significant fluctuations, reflecting more of the battery's stable characteristics and less of its dynamic characteristics. This weakens the algorithm's adjustment capability, affects the identification of battery model parameters, and results in poor accuracy of the estimated battery SOH.

[0131] The battery health status determination method provided in this application embodiment can be applied to the application environment shown in Figure 1. The power-consuming device 101 and the charging device 201 can communicate with each other. The power-consuming device 101 includes a first battery, and the charging device 201 includes a second battery. The second battery in the charging device 201 can charge the first battery in the power-consuming device 101.

[0132] For example, the electrical device 101 can be a new energy vehicle, and the charging device 201 can be a charging pile, an energy storage station, or other electrical device that can replenish or extract electrical energy, such as a mobile power bank, a charging station that supports vehicle-to-grid (V2G), an electric vehicle battery system that supports V2G, or a photovoltaic charging station, etc.

[0133] Optionally, the power-consuming device 101 includes a battery management system (BMS), and the charging device 201 includes a controller. The BMS can communicate with the controller to realize data interaction between the power-consuming device 101 and the charging device 201.

[0134] In one embodiment, this application provides a method for determining battery health status. Taking the charging device in Figure 1 as an example, the method is specifically applied to the controller in the charging device. As shown in Figure 2, the method includes the following steps:

[0135] S210. During the charging process of the electrical device, an excitation signal is input to the first battery in the electrical device; the excitation signal includes at least two sets of signals output sequentially.

[0136] One set of excitation signals is a pulse, and at least two sets of excitation signals are sequentially output to the first battery to intermittently inject pulses into the first battery.

[0137] For example, the excitation signal can be a voltage excitation signal, a current excitation signal, or a power excitation signal.

[0138] Optionally, after the charging device is connected to the power-consuming device, it can charge the first battery in the power-consuming device through the second battery if the connection is successful, and input at least two sets of excitation signals sequentially to the first battery during the charging process. The charging device can also respond to excitation requests from the power-consuming device or other third-party devices, and input at least two sets of excitation signals sequentially to the first battery during the charging process of the first battery through the second battery.

[0139] For example, the third-party device can be a relay device between the charging device and the power-consuming device, such as a charging detection box or a charging detection signal conditioner.

[0140] S220. Based on at least two sets of excitation signals, obtain at least two sets of target battery parameters for the first battery; the target battery parameters include the battery parameters of the first battery in a target time period, and the target time period includes the excitation time period of the excitation signal and the non-excitation time period adjacent to the excitation time period.

[0141] In this system, a set of excitation signals corresponds to a set of target battery parameters. The battery parameters are the battery's electrical parameters, such as current and / or voltage. The non-excitation periods adjacent to the excitation period include a first period of preset duration before the excitation period, a second period of preset duration after the excitation period, or both the first and second periods.

[0142] Optionally, for each set of excitation signals input to the first battery by the charging device, the battery parameters of the first battery collected by the power-consuming device during the excitation period and the non-excitation period can be obtained accordingly, as a set of target battery parameters. When at least two sets of excitation signals are input, at least two sets of target battery parameters are obtained accordingly.

[0143] For example, upon detecting an excitation signal, the power device can collect a set of battery parameters of a first battery as the battery parameters of the first battery during the excitation period, and then collect another set of battery parameters of the first battery at preset intervals as the battery parameters of the first battery during the non-excitation period (i.e., the second period) adjacent to the excitation period. The battery parameters of the first battery during the excitation period and the battery parameters of the second period are then used as the target battery parameters of the first battery in the target period (excitation period + second period), and then fed back to the charging device. The preset interval is greater than the excitation duration and less than the excitation signal period.

[0144] S230. Based on the parameters of each group of target batteries, perform parameter identification on the battery model of the first battery to obtain the identification results for each group of target time periods.

[0145] The battery model of the first battery is an equivalent model used to reconstruct the electrical characteristics of the first battery. For example, the battery model can be an equivalent circuit model, an electrochemical model, or a data-driven model, etc.

[0146] Optionally, after obtaining at least two sets of target battery parameters, for each set of target battery parameters, the charging device can utilize the correlation between the target battery parameters and the model parameters in the battery model of the first battery to identify the parameters of the battery model of the first battery, and use the identified model parameters as the identification results for the corresponding target time period. Based on at least two sets of target battery parameters, at least two sets of identification results can be obtained accordingly.

[0147] S240. Obtain the charging capacity of the first battery at a reference time in each target time period, and determine the health status of the first battery based on the identification results of each target time period and the charging capacity at the corresponding reference time.

[0148] The reference time can be any time within the target time period. For example, the reference time can be any time within the excitation period of the target time period, or any time within the non-excitation period adjacent to the excitation period of the target time period, such as any time within the first time period / second time period.

[0149] Optionally, the charging device may obtain the charging capacity of the first battery at a reference time in each target time period from the power-consuming device, or it may obtain the battery parameters of the first battery from the power-consuming device to determine the charging capacity of the first battery from the start of charging to the reference time in each target time period, and determine the health status of the first battery based on the obtained multiple sets of identification results and multiple charging capacities.

[0150] For example, for each set of excitation signals, the power device can use a preset time (less than the excitation duration) after detecting the excitation signal as the reference time, and use the reference time as the cutoff time to perform current-time integration based on the current of the first battery at different times between the start of charging and the reference time, to obtain the charging capacity of the first battery at that reference time, and then feed it back to the charging device. Alternatively, the power device can acquire the current of the first battery at different times between the start of charging and the reference time, and feed it back to the charging device, which then uses the reference time as the cutoff time to perform current-time integration based on the current of the first battery at different times between the start of charging and the reference time, to obtain the charging capacity of the first battery at that reference time.

[0151] In this embodiment, during the charging process of the power-consuming device, at least two sets of excitation signals are input to the first battery in the power-consuming device to obtain at least two sets of target battery parameters of the first battery based on the at least two sets of excitation signals. The battery model of the first battery is then parameter-identified according to each set of target battery parameters to obtain the identification result corresponding to each target time period. The charging capacity of the first battery at a reference time within each target time period is also obtained. Furthermore, the health status of the first battery is determined based on the identification result of each target time period and the charging capacity at the corresponding reference time. The target battery parameters include the battery parameters of the first battery during the target time period, which includes the excitation period of the excitation signal and the non-excitation period adjacent to the excitation period. In the above method, by inputting excitation signals during the charging process of the power-consuming device, the steady-state charging process of the battery is disrupted to fully stimulate the dynamic characteristics of the battery. This allows for parameter identification of the battery model based on the target battery parameters that reflect the dynamic characteristics of the battery, thereby improving the accuracy of parameter identification and consequently increasing the accuracy of the battery health status determined based on the identification results.

[0152] The input excitation signal is related to the charging parameters of the first battery. Based on this, in one embodiment, as shown in FIG3, inputting the excitation signal to the first battery in the power-consuming device in S210 includes:

[0153] S310: Periodically acquire the charging parameters of the first battery.

[0154] Here, charging parameters are parameters related to the charging process. For example, charging parameters include the battery's charging current, charging voltage, state of charge (SOC), or charging rate during the charging process.

[0155] Optionally, the charging device may input an excitation signal during the charging process of the first battery and periodically acquire the charging parameters of the first battery.

[0156] For example, for some charging parameters, such as charging current or charging rate, the charging device can determine them based on its own signal output parameters, such as reading the output current in the signal output parameters as the charging current of the first battery, and reading the charging rate in the signal output parameters as the charging rate of the first battery; for other parameters, such as charging voltage or state of charge, the charging device can obtain them from the power-consuming device.

[0157] S320: Input an excitation signal to the first battery according to the charging parameters.

[0158] Optionally, the charging device inputs an excitation signal to the first battery based on the charging parameters obtained each time. The charging parameters can include various types, and different charging parameters have different effects on the input excitation signal.

[0159] In this embodiment, the charging parameters of the first battery are periodically acquired, and an excitation signal is input to the first battery based on the charging parameters. In the above method, the periodic acquisition of the charging parameters of the first battery can adapt to the changing charging state of the battery, and the excitation signal is input to the first battery based on the charging parameters, which improves the adaptability between the input excitation signal and the battery charging state, thereby improving the control accuracy of the input excitation signal.

[0160] The charging parameters of the first battery include the state of charge. Based on this, the above-mentioned S320, which inputs an excitation signal to the first battery according to the charging parameters, includes:

[0161] When the state of charge in the charging parameters meets the preset triggering conditions, a set of excitation signals is input to the first battery; the preset triggering conditions include the change in the state of charge reaching a preset change threshold; or the state of charge reaching a preset state threshold.

[0162] The preset trigger condition is the trigger condition for inputting an excitation signal to the first battery.

[0163] Optionally, the charging device may periodically acquire the state of charge of the first battery to determine whether the state of charge meets a preset trigger condition, and if the preset trigger condition is met, input a set of excitation signals to the first battery.

[0164] For example, when the preset triggering condition includes the change in state of charge reaching a preset change threshold, the charging device calculates the change between the current state of charge and the previous state of charge for each acquired state of charge, and if the change is greater than the preset change threshold, it determines that the preset triggering condition is met, so as to input a set of excitation signals to the first battery.

[0165] In this embodiment, when the state of charge (SBC) in the charging parameters meets a preset triggering condition, a set of excitation signals is input to the first battery. The preset triggering condition includes the change in SBC reaching a preset change threshold; or the SBC reaching a preset state threshold. In the above method, the SBC of the battery changes continuously during the charging process until it is fully charged. Using the SBC or the change in SBC as the triggering condition for inputting the excitation signal allows the excitation signal to be applied to the first battery under different SBC states, which helps to stimulate the dynamic characteristics of the battery and thus improve the accuracy of the battery health status.

[0166] The charging parameters of the first battery include the charging current. Based on this, the above-mentioned S320, which inputs an excitation signal to the first battery according to the charging parameters, includes:

[0167] At least two sets of excitation signals are input to the first battery according to the charging current in the charging parameters; the at least two sets of excitation signals include at least one of a negative pulse excitation signal and a positive excitation signal.

[0168] Among them, the negative excitation signal is the excitation signal where the signal current is less than the charging current in the charging parameters, and the positive excitation signal is the excitation signal where the signal current is greater than the charging current in the charging parameters.

[0169] Optionally, after receiving the charging current of the first battery, the charging device may input at least two sets of negative excitation signals to the first battery based on the charging current, or at least two sets of positive excitation signals to the first battery based on the charging current, or at least one set of negative excitation signals and at least one set of positive excitation signals to the first battery based on the charging current.

[0170] In this embodiment of the application, at least two sets of excitation signals are input to the first battery according to the charging current in the charging parameters; the at least two sets of excitation signals include at least one of negative excitation signals and positive excitation signals; in the above method, excitation signals different from the charging current are input to the first battery based on the charging current of the first battery during the charging process, so as to break the steady-state charging process of the battery, fully stimulate the dynamic characteristics of the battery, improve the accuracy of parameter identification, and thus improve the accuracy of battery health status.

[0171] The charging parameters of the first battery include the charging rate. Based on this, in one embodiment, as shown in FIG4, the above-mentioned S320, inputting an excitation signal to the first battery according to the charging parameters, includes:

[0172] S410. Determine the target excitation amplitude based on the charging rate in the charging parameters.

[0173] Optionally, after obtaining the charging rate of the first battery, the charging device can determine the excitation amplitude corresponding to the charging rate of the first battery based on the correspondence between the charging rate and the excitation amplitude, and use it as the target excitation amplitude.

[0174] S420: Input the excitation signal with the target excitation amplitude to the first battery.

[0175] Optionally, after obtaining the target excitation amplitude, the charging device inputs an excitation signal of the target excitation amplitude to the first battery according to the target excitation amplitude.

[0176] In this embodiment of the application, a target excitation amplitude is determined based on the charging rate in the charging parameters, so as to input an excitation signal with the target excitation amplitude to the first battery. In the above method, the target excitation amplitude of the excitation signal is determined based on the charging rate of the first battery, which improves the matching degree between the excitation signal and the battery charging rate, and thus improves the charging stability.

[0177] It should be noted that the charging parameters of the first battery may include at least two of the following: state of charge, charging current, and charging rate. Specifically, when state of charge is included, it can be used to determine whether a preset trigger condition is met; when charging current is included, at least two sets of excitation signals, including a negative excitation signal and / or a positive excitation signal, can be input; when charging rate is included, an excitation signal corresponding to the target excitation amplitude of the charging rate can be input. These three scenarios can be executed concurrently in any combination when excitation information is input to the first battery.

[0178] The identification results of the parameter identification of the battery model of the first battery include the open-circuit voltage of the first battery. Based on this, in one embodiment, as shown in Figure 5, the above-mentioned S230, which involves performing parameter identification on the battery model of the first battery according to each set of target battery parameters, to obtain the identification results corresponding to each target time period, includes:

[0179] S510. For each set of target battery parameters, perform parameter identification on the battery model of the first battery according to the target battery parameters to obtain the open circuit voltage of the first battery.

[0180] Optionally, for each set of target battery parameters, the charging device can use the correlation between the target battery parameters and the model parameters in the battery model of the first battery to identify the parameters of the battery model of the first battery, and determine the open circuit voltage of the first battery based on the identified model parameters.

[0181] For example, when the battery model of the first battery is an equivalent circuit model and the corresponding model parameters include open-circuit voltage, the charging device can identify the parameters of the equivalent circuit model according to the target battery parameters to directly identify the open-circuit voltage of the first battery. When the battery model of the first battery is an electrochemical model or a data-driven model and the corresponding model parameters do not include open-circuit voltage, the charging device can identify the parameters of the electrochemical model or data-driven model according to the target battery parameters to obtain the model parameters, and then determine the open-circuit voltage of the first battery based on the conversion relationship between the model parameters and the open-circuit voltage.

[0182] S520, The open-circuit voltage of the first battery is used as the identification result for each target time period.

[0183] Among them, a set of excitation signals corresponds to a target time period, a set of target battery parameters, and an identification result.

[0184] Optionally, after obtaining the open-circuit voltage of the first battery corresponding to each set of target battery parameters, the charging device uses each open-circuit voltage as the identification result for each set of target time periods.

[0185] In this embodiment, for each set of target battery parameters, the battery model of the first battery is parameter identified based on the target battery parameters to obtain the open-circuit voltage of the first battery. The open-circuit voltage of the first battery is used as the identification result for each target time period. In the above method, the parameter identification of the battery model is based on the target battery parameters of the first battery under the action of the input excitation signal. Since the charging of the target battery parameters under the action of the excitation signal fully demonstrates the dynamic characteristics of the battery, the accuracy of the model identification is improved. Therefore, an accurate open-circuit voltage is obtained, which provides an accurate data basis for subsequent determination of the battery health status and improves the accuracy of the battery health status.

[0186] In one embodiment, when the battery model of the first battery is an equivalent circuit model, S510 above, which involves identifying parameters of the battery model of the first battery based on the target battery parameters to obtain the open-circuit voltage of the first battery, includes:

[0187] Based on the target battery parameters, the equivalent circuit model of the first battery is parameter identified to obtain the open-circuit voltage of the first battery.

[0188] For example, the equivalent circuit model of the first battery is shown in Figure 6. The corresponding model parameters include open-circuit voltage OCV, resistors R0 and R1, capacitor C1, and voltage Ut. The target battery parameters include the current I and voltage U of the first battery. The charging device can determine the voltage correlation between OCV, R0, R1, C1, and Ut in the equivalent circuit model based on the current I, and solve for a set of model parameters [OCV, R0, R1, C1, Ut] that satisfy the voltage correlation and have the difference ΔU between U and Ut minimized or less than a preset threshold, thereby identifying the open-circuit voltage OCV of the first battery.

[0189] In this embodiment of the application, the open-circuit voltage of the first battery is obtained by identifying the parameters of the equivalent circuit model of the first battery according to the target battery parameters. In the above method, the parameter identification is performed using the equivalent circuit model of the first battery. The model parameters of the equivalent circuit model include the open circuit, which can directly identify the open-circuit voltage of the first battery, thus improving the convenience and efficiency of obtaining the open-circuit voltage.

[0190] To determine the health status of the first battery, in one embodiment, as shown in FIG7, the determination of the health status of the first battery in S240 based on the identification results of each target time period and the charging capacity at the corresponding reference time includes:

[0191] S710. Determine the state of charge of the first battery in each target time period based on the identification results of each target time period.

[0192] Optionally, for each target time period, the charging device can determine the state of charge of the first battery based on the model parameters in the corresponding identification results, so as to serve as the state of charge of the first battery in the corresponding target time period.

[0193] For example, the charging device can determine the state of charge (SOC) based on the conversion relationship between model parameters and SOC. For instance, if the equivalent circuit model of the first battery is parameter-identified according to the target battery parameters to obtain the open-circuit voltage of the first battery, the charging device can determine the SOC of the first battery in the corresponding target time period based on the conversion relationship between the open-circuit voltage and the SOC.

[0194] S720. Determine the health status of the first battery based on the state of charge of each target time period and the charging capacity at the corresponding reference time.

[0195] Optionally, after obtaining the state of charge for each target time period and the charging capacity at a reference time in each target time period, the charging device can determine the health status of the first battery based on the state of charge and charging capacity of each target time period.

[0196] For example, the charging device can input the state of charge and charging capacity of each target time period into a pre-trained network model to obtain the health level of the first battery, which is used as the health status of the first battery.

[0197] In this embodiment, the state of charge (SOC) of the first battery in each target time period is determined based on the identification results of each target time period, and the health status of the first battery is determined based on the SOC and the charging capacity at the corresponding reference time. In the above method, the SOC and the charging capacity at the corresponding reference time can accurately reflect the actual capacity of the first battery during the charging process, and the health status of the battery can characterize the change in the actual capacity of the battery. Therefore, determining the health status of the first battery based on the SOC and the charging capacity at the corresponding reference time can improve the reliability of the battery health status.

[0198] In one embodiment, where the identification result includes the open-circuit voltage of the first battery, S710, which determines the state of charge of the first battery in each target time period based on the identification result of each target time period, includes:

[0199] For each target time period, the state of charge corresponding to the open circuit voltage is determined according to the correspondence between the open circuit voltage and the state of charge, based on the open circuit voltage of the first battery, and is used as the state of charge of the first battery in the target time period.

[0200] Optionally, for each target time period, the charging device can determine the state of charge corresponding to the open circuit voltage of the first battery according to the correspondence between the open circuit voltage and the state of charge in the corresponding identification result, so as to take the state of charge of the first battery in the corresponding target time period.

[0201] For example, the charging device has a pre-stored table that records the correspondence between open-circuit voltage and state of charge, namely the OCV-SOC table. The charging device can look up the OCV-SOC table to determine the state of charge corresponding to each open-circuit voltage.

[0202] In this embodiment of the application, for each target time period, the state of charge corresponding to the open circuit voltage of the first battery is determined according to the correspondence between the open circuit voltage and the state of charge, and is used as the state of charge of the first battery in the target time period. In the above method, the state of charge of the first battery is determined by using the correspondence between the open circuit voltage and the state of charge based on the identified open circuit voltage. The process is convenient and fast, and improves the convenience and efficiency of determining the state of charge.

[0203] The health status of the first battery can be determined based on its maximum capacity and rated capacity. Therefore, in one embodiment, as shown in FIG8, the above-described S720, determining the health status of the first battery based on the state of charge of each target time period and the charging capacity at the corresponding reference time, includes:

[0204] S810. Determine the maximum capacity of the first battery based on the state of charge of each target time period and the charging capacity at the corresponding reference time.

[0205] The maximum capacity of the first battery is the actual capacity of the first battery.

[0206] It should be noted that the state of charge (SOC) during the target time period can characterize the SOC at any moment within the target time period; therefore, the SOC during the target time period is the same as the SOC at the corresponding reference moment. The SOC at the same moment exhibits a linear relationship with the charging capacity, and the rate of change of this linear relationship represents the battery's maximum capacity.

[0207] Optionally, after obtaining the state of charge and charging capacity at different reference times, the charging device can determine the rate of change of the linear relationship between the state of charge and the charging capacity based on data analysis, and use this rate of change as the maximum capacity of the first battery.

[0208] S820. Determine the health status of the first battery based on its maximum capacity and the rated capacity of the first battery.

[0209] Optionally, after obtaining the maximum capacity of the first battery, the charging device obtains the rated capacity of the first battery from the power-consuming device, and determines the health status of the first battery based on the maximum capacity and the rated capacity. The maximum capacity, rated capacity, and health status satisfy the following relationship: SOH=k / Qr

[0210] Where k represents the rate of change and Qr represents the rated capacity.

[0211] In this embodiment, the maximum capacity of the first battery is determined based on the state of charge (SBC) of each target time period and the charging capacity at the corresponding reference time. The health status of the first battery is then determined based on the maximum capacity and the rated capacity of the first battery. In the above method, since the excitation signal input to the first battery fully stimulates the dynamic characteristics of the first battery, the accuracy of battery model parameter identification is improved, resulting in a more accurate and reliable SBC and charging capacity. The maximum capacity of the first battery is then determined based on this more accurate and reliable SBC and charging capacity, which simultaneously improves the accuracy of the maximum capacity. This allows the actual maximum capacity of the first battery to be restored, thereby improving the accuracy and precision of the battery health status determined based on the maximum capacity.

[0212] The rate of change of the linear relationship between state of charge and charging capacity is the slope of the line. Based on this, in one embodiment, as shown in Figure 9, the above-mentioned S810, determining the maximum capacity of the first battery based on the state of charge of each target time period and the charging capacity at the corresponding reference time, includes:

[0213] S910. The state of charge of each target time period and the charging capacity of the corresponding reference time are taken as a set of data to be processed.

[0214] The state of charge of each target time period can be used to characterize the state of charge at any time within the target time period, and can correspondingly characterize the state of charge at a reference time within the target time period.

[0215] Optionally, the charging device can treat the state of charge and charging capacity at the same reference time as a set of data to be processed.

[0216] For example, as shown in the table below, when multiple sets of excitation signals i (i = 1, 2, 3, ..., N) are input to the first battery, the open-circuit voltage OCV_i, state of charge SOC_i, and charging capacity CAP_i corresponding to each set of excitation signals can be obtained accordingly. The SOC and CAP at the reference time corresponding to each set of excitation signals constitute a set of data to be processed. In the table below, SOC_1 and CAP_1 constitute a set of data to be processed, SOC_2 and CAP_2 constitute a set of data to be processed, ..., SOC_N and CAP_N constitute a set of data to be processed.

[0217] S920. Perform linear fitting on at least three sets of data to be processed, or perform two-point fitting on two sets of data to be processed, to obtain the slope of the fitted line, and use the slope of the fitted line as the maximum capacity of the first battery.

[0218] Optionally, the charging device can perform linear fitting on at least three sets of data to be processed, and determine the slope of the fitted line by a parameter optimization algorithm such as the least squares method. Alternatively, it can select any two sets of data to be processed, perform two-point fitting on these two sets of data to obtain the slope of the fitted line, and then use the slope of the fitted line as the maximum capacity of the first battery.

[0219] In this embodiment, the state of charge of each target time period and the charging capacity at the corresponding reference time are taken as a set of data to be processed. Linear fitting is performed on at least three sets of data to be processed, or two-point fitting is performed on two sets of data to be processed to obtain the slope of the fitted line, and the slope is taken as the maximum capacity of the first battery. In the above method, the slope of the fitted line is determined by linear fitting or two-point fitting, which is taken as the maximum capacity of the first battery. This simplifies the process of determining the maximum capacity, and the data fitting process is efficient and convenient, thus improving the efficiency of determining the maximum capacity.

[0220] In one embodiment, this application also provides a method for determining battery health status. Taking the application of this method to the electrical device in Figure 1 as an example, as shown in Figure 10, the method includes the following steps:

[0221] S1010, Sending an excitation request; the excitation request is used to instruct the charging device to input an excitation signal to the first battery in the power-consuming device during the charging process; the excitation signal includes at least two sets of signals output sequentially.

[0222] One set of excitation signals is a pulse, and at least two sets of excitation signals are sequentially output to the first battery to intermittently inject pulses into the first battery.

[0223] For example, the excitation signal can be a voltage signal, a current signal, or a power signal.

[0224] Optionally, after the power-consuming device is connected to the charging device, it can send an excitation request to the charging device in response to a user's trigger operation. This excitation request instructs the charging device to charge the first battery in the power-consuming device through the second battery, and during the charging process, input at least two sets of excitation signals sequentially to the first battery. Alternatively, the power-consuming device can also send an excitation request to other third-party devices in response to a user's trigger operation. The third-party devices, in response to this excitation request, control the charging device to input excitation signals to the first battery in the power-consuming device through the second battery.

[0225] S1020. Based on at least two sets of excitation signals, obtain at least two sets of target battery parameters for the first battery; the target battery parameters include the battery parameters of the first battery in a target time period, and the target time period includes the excitation time period of the excitation signal and the non-excitation time period adjacent to the excitation time period.

[0226] In this system, a set of excitation signals corresponds to a set of target battery parameters. These battery parameters are the battery's electrical parameters, such as current or voltage. The non-excitation periods adjacent to the excitation period include a first period preceded by a preset duration, a second period following the excitation period by a preset duration, or both the first and second periods.

[0227] Optionally, for each set of excitation signals input by the charging device to the first battery, the power-consuming device can identify the excitation signals to collect battery parameters of the first battery during the excitation period and the non-excitation period, respectively, as a set of target battery parameters. When at least two sets of excitation signals are input, at least two sets of target battery parameters are obtained accordingly.

[0228] For example, when an excitation signal is detected, the electrical device can collect a set of battery parameters of a first battery as the battery parameters of the first battery during the excitation period, and then collect another set of battery parameters of the first battery at preset intervals as the battery parameters of the first battery during the non-excitation period (i.e., the second period) adjacent to the excitation period. The battery parameters of the first battery during the excitation period and the battery parameters of the second period are then used as the target battery parameters of the first battery in the target period (excitation period + second period). The preset interval is greater than the excitation duration and less than the excitation signal period.

[0229] S1030. Based on the parameters of each group of target batteries, perform parameter identification on the battery model of the first battery to obtain the identification results for each group of target time periods.

[0230] The battery model of the first battery is an equivalent model used to reconstruct the electrical characteristics of the first battery. For example, the battery model can be an equivalent circuit model, an electrochemical model, or a data-driven model, etc.

[0231] Optionally, after obtaining at least two sets of target battery parameters, for each set of target battery parameters, the power-consuming device can utilize the correlation between the target battery parameters and the model parameters in the battery model of the first battery to identify the parameters of the battery model of the first battery, and use the identified model parameters as the identification result for the corresponding target time period. Based on at least two sets of target battery parameters, at least two sets of identification results can be obtained accordingly.

[0232] S1040. Obtain the charging capacity of the first battery at a reference time in each target time period, and determine the health status of the first battery based on the identification results of each target time period and the charging capacity at the corresponding reference time.

[0233] The reference time can be any time within the target time period. For example, the reference time can be any time within the excitation period of the target time period, or any time within the non-excitation period adjacent to the excitation period of the target time period, such as any time within the first time period / second time period.

[0234] Optionally, the power device can acquire battery parameters of the first battery to determine the charging capacity of the first battery from the start of charging to the reference time in each target time period, and determine the health status of the first battery based on the obtained multiple sets of identification results and multiple charging capacities.

[0235] For example, for each set of excitation signals, the power device can use the time after detecting the excitation signal (which is less than the excitation time) as the reference time, and use the reference time as the cutoff time to perform current-time integration based on the current of the first battery at different times between the start of charging and the reference time, so as to obtain the charging capacity of the first battery at the reference time.

[0236] In this embodiment, by sending an excitation request to instruct the input of at least two sets of excitation signals to the first battery in the power-consuming device, at least two sets of target battery parameters of the first battery are obtained based on the at least two sets of excitation signals. The battery model of the first battery is then parameter-identified according to each set of target battery parameters to obtain the identification result corresponding to each target time period. The charging capacity of the first battery at a reference time within each target time period is then obtained. The health status of the first battery is determined based on the identification result of each target time period and the charging capacity at the corresponding reference time. The target battery parameters include the battery parameters of the first battery in the target time period, and the target time period includes the excitation period of the excitation signal and the non-excitation period adjacent to the excitation period. In the above method, by requesting the input of excitation signals to the power-consuming device, the steady-state charging process of the battery is disrupted to fully stimulate the dynamic characteristics of the battery. This allows for parameter identification of the battery model based on the target battery parameters that reflect the dynamic characteristics of the battery, thereby improving the accuracy of parameter identification and consequently increasing the accuracy of the battery health status determined based on the identification results.

[0237] In practical applications, target battery parameters can be obtained by identifying the identifier signal of the excitation signal. Based on this, in one embodiment, as shown in Figure 11, in S1020 above, at least two sets of target battery parameters for the first battery are obtained based on at least two sets of excitation signals, including:

[0238] S1110. For each set of excitation signals, obtain the battery parameters of the first battery during the excitation period and the battery parameters during the non-excitation period according to the identification signal of the excitation signal.

[0239] The identifier signal of the excitation signal is used to indicate the start and end of the excitation signal. The first detection of the identifier signal indicates the start of the excitation signal, and the second detection of the identifier signal indicates the end of the excitation signal.

[0240] Optionally, for each set of excitation signals, the battery parameters of the first battery inputting the excitation signal will change accordingly. When the power-consuming device detects a sudden change in the battery parameters, it identifies the detection of the excitation signal. After the first detection of the identifier signal, the power-consuming device collects the power consumption parameters of the first battery as the battery parameters of the first battery during the excitation period. After the identifier signal is detected again, the power-consuming device collects the power consumption parameters of the first battery as the battery parameters of the first battery during the non-excitation period.

[0241] S1120. The battery parameters of the first battery during the excitation period and the battery parameters during the non-excitation period are taken as a set of target battery parameters.

[0242] Optionally, the power supply device can use the battery parameters of the first battery during the excitation period and the non-excitation period as the battery parameters of the first battery during the target period, i.e., a set of target battery parameters.

[0243] In this embodiment of the application, for each set of excitation signals, the battery parameters of the first battery during the excitation period and the battery parameters during the non-excitation period are obtained according to the identification signal of the excitation signal, so as to take the battery parameters of the first battery during the excitation period and the battery parameters during the non-excitation period as a set of target battery parameters. In the above method, the identification signal of the excitation signal can accurately indicate the start and end of the excitation signal. Based on the identification signal, the positioning accuracy of the excitation period and the non-excitation period can be improved, and the reliability of obtaining the target battery parameters is improved accordingly.

[0244] Battery parameters include charging voltage and charging current. Based on this, in one embodiment, as shown in FIG12, the battery parameters of the first battery during the excitation period and the battery parameters outside the excitation period are obtained according to the identification signal of the excitation signal in S1110, including:

[0245] S1210. If no identification signal is detected, sample the charging current and charging voltage of the first battery as battery parameters of the first battery during the non-excitation period.

[0246] The electrical device can monitor the charging current or charging voltage of the first battery. If the charging current or charging voltage changes abruptly, an excitation signal identification signal is detected; otherwise, if the charging current or charging voltage does not change abruptly, no excitation signal identification signal is detected.

[0247] Optionally, if no identification signal is detected based on the charging current or charging voltage of the first battery, the power device may collect the charging current and charging voltage of the first battery as battery parameters of the first battery during non-excitation periods.

[0248] S1220. When the identification signal is detected, the charging current and charging voltage of the first battery are sampled to obtain the battery parameters of the first battery during the excitation period.

[0249] Optionally, if an identification signal is detected based on the charging current or charging voltage of the first battery, the power device can collect the charging current and charging voltage of the first battery as battery parameters of the first battery during the excitation period.

[0250] For example, as shown in Figure 13, the charging current and charging voltage of the first battery during the charging process (including the excitation signal) are illustrated. The part of the data that changes abruptly corresponds to the excitation period, and the part of the data that does not change abruptly corresponds to the non-excitation period.

[0251] In this embodiment, when no identification signal is detected, the charging current and charging voltage of the first battery are sampled as battery parameters of the first battery during the non-excitation period; when an identification signal is detected, the charging current and charging voltage of the first battery are sampled as battery parameters of the first battery during the excitation period. In the above method, the excitation period and non-excitation period are accurately located based on the identification signal, which improves the reliability of the target battery parameters. At the same time, using the charging current and charging voltage of the first battery as battery parameters provides an accurate data basis for subsequent parameter identification, which can correspondingly improve the accuracy of parameter identification.

[0252] In one embodiment, the duration of the excitation period is greater than or equal to the sampling period of the battery parameters of the first battery during the excitation period.

[0253] The excitation duration is greater than or equal to the sampling period during the excitation period, which indicates that at least one set of battery parameters of the first battery can be sampled during the excitation period.

[0254] Optionally, the power device detects the identification signal of the excitation signal, indicating that it has entered the excitation period. The power device can sample the current and voltage of the first battery through the sampling period T1, where T1≤T, and T represents the excitation duration. The power device can then sample at least one set of battery parameters within T.

[0255] In this embodiment of the application, the duration of the excitation period is greater than or equal to the sampling period of the battery parameters of the first battery during the excitation period; in the above method, the excitation period is longer than the sampling period during the excitation period, which can enable at least one set of battery parameters to be sampled during the excitation period, thereby improving the reliability of battery parameter acquisition.

[0256] In one embodiment, the sampling frequency of the battery parameters of the first battery during the excitation period is greater than the sampling frequency of the battery parameters of the first battery during the non-excitation period.

[0257] When sampling battery parameters, the sampling frequency during the excitation period is greater than the sampling frequency during the non-excitation period, which makes the amount of battery parameter data obtained during the excitation period greater than the amount of battery parameter data obtained during the non-excitation period.

[0258] Optionally, when the power device detects the identification signal of the excitation signal, indicating that it has entered the excitation period, the power device can sample the battery parameters of the first battery through the first sampling frequency H1. When the power device detects the identification signal of the excitation signal again, indicating that it has entered the non-excitation stage, the power device can sample the battery parameters of the first battery through the second sampling frequency H2, where H1 > H2.

[0259] Optionally, the first sampling frequency H1 corresponds to the sampling period T1, where H1 > H2 and T1 ≤ T corresponding to H1.

[0260] In this embodiment, the sampling frequency of the battery parameters of the first battery during the excitation period is greater than the sampling frequency of the battery parameters of the first battery during the non-excitation period. In the above method, the sampling frequency during the excitation period is greater than the sampling frequency during the non-excitation period, which can increase the amount of battery parameter data obtained during the excitation period, so as to obtain more battery parameters under disturbance environment, fully stimulate the dynamic characteristics of the battery, and improve the accuracy of the determined battery health status.

[0261] To obtain the charging capacity of the first battery, in one embodiment, as shown in FIG14, obtaining the charging capacity of the first battery at a reference time in each target time period in S1040 includes:

[0262] S1410. For each target time period, obtain any moment in the excitation time period within the target time period as a reference moment.

[0263] For example, the reference time can be the midpoint of the excitation period.

[0264] Optionally, the electrical device can read preset configuration information and determine the midpoint of the excitation period within the target time period as a reference time based on the preset configuration information. The preset configuration information includes a preset duration from the start time of the excitation signal to the reference time.

[0265] S1420. Determine the charging capacity of the first battery at the reference time based on the battery current of the first battery from the start of charging to the reference time.

[0266] Optionally, the power device can monitor the current of the first battery, and after the first detection of the excitation signal, time a preset duration is elapsed, and the moment when the preset duration is reached is taken as the reference moment. The device can perform current-time integration based on the current of the first battery at different times between the start of charging and the reference moment to obtain the charging capacity of the first battery at the reference moment.

[0267] In this embodiment of the application, for each target time period, any moment in the excitation period of the target time period is obtained as a reference moment, so as to determine the charging capacity of the first battery at the reference moment based on the battery current of the first battery from the start of charging to the reference moment. In the above method, any moment in the excitation period is used as a reference moment to obtain the charging capacity of the first battery from the start of charging to the reference moment, so as to provide an accurate data basis for subsequent determination of battery health status, thereby improving the accuracy of the determined battery health status.

[0268] To facilitate understanding by those skilled in the art, the method for determining battery health status provided in this application is described in detail below. Taking an application to an electrical device as an example, as shown in Figure 15, the method may include:

[0269] S1501. Send an excitation request to the charging device; the excitation request is used to instruct the charging device to input at least two sets of excitation signals sequentially output to the first battery in the power device during the process of charging the power device through the second battery.

[0270] S1502. If no excitation signal is detected during the charging process, the charging current and charging voltage of the first battery are sampled at the first sampling frequency and used as battery parameters of the first battery during the non-excitation period.

[0271] S1503. When an excitation signal is detected during charging, the charging current and charging voltage of the first battery are sampled at a second sampling frequency as battery parameters of the first battery during the excitation period; the second sampling frequency is greater than the first sampling frequency.

[0272] S1504. The battery parameters of the first battery with adjacent time sequence during the excitation period and the battery parameters during the non-excitation period are taken as a set of target battery parameters, and at least two sets of target battery parameters are obtained under the action of at least two sets of excitation signals.

[0273] S1505. For each set of target battery parameters, perform parameter identification on the equivalent circuit model of the first battery according to the target battery parameters to obtain the open circuit voltage of the first battery.

[0274] S1506. Based on the open-circuit voltage of the first battery, determine the state of charge corresponding to the open-circuit voltage according to the correspondence between the open-circuit voltage and the state of charge, and use it as the state of charge of the first battery in the target time period.

[0275] S1507. Take the state of charge of each target time period and the charging capacity of the corresponding reference time as a set of data to be processed.

[0276] S1508. Perform linear fitting on at least three sets of data to be processed, or perform two-point fitting on two sets of data to be processed, to obtain the slope of the fitted line, and use the slope as the maximum capacity of the first battery.

[0277] S1509. Determine the health status of the first battery based on its maximum capacity and the rated capacity of the first battery.

[0278] It should be noted that the descriptions in S1501-S1509 above can be found in the relevant descriptions in the above embodiments, and their effects are similar, so they will not be repeated here.

[0279] 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.

[0280] In one embodiment, as shown in FIG16, this application provides a charging and discharging system 10, which includes an electrical device 101 and a charging device 201.

[0281] The charging device 201 is used to input an excitation signal to the first battery in the power-consuming device 101 during the charging process; the excitation signal includes at least two sets of signals output sequentially.

[0282] The charging device 201 is also used to acquire at least two sets of target battery parameters of the first battery based on at least two sets of excitation signals; the target battery parameters include the battery parameters of the first battery in a target time period, and the target time period includes the excitation period of the excitation signal and the non-excitation period adjacent to the excitation period;

[0283] The charging device 201 is also used to perform parameter identification on the battery model of the first battery according to the parameters of each group of target batteries, and obtain the identification results corresponding to each group of target time periods;

[0284] The charging device 201 is also used to obtain the charging capacity of the first battery at a reference time in each target time period, and to determine the health status of the first battery based on the identification results of each target time period and the charging capacity at the corresponding reference time.

[0285] In one embodiment, as shown in FIG17, the charging and discharging system 10 further includes a relay device 301 that communicates with the power-consuming device 101 and the charging device 201; the relay device 301 is used to control the charging device 201 to input an excitation signal to the first battery in the power-consuming device 101 in response to an excitation request.

[0286] The relay device 301 can communicate with the power-consuming device 101 and the charging device 201 respectively.

[0287] Optionally, the relay device 301 can trigger an incentive request autonomously based on user operation, or it can receive incentive requests sent by other devices, such as receiving an incentive request sent by the power-consuming device 101.

[0288] In one embodiment, as shown in FIG16, this application provides a charging and discharging system 10, which includes an electrical device 101 and a charging device 201.

[0289] The power-consuming device 101 is used to send an excitation request; the excitation request is used to instruct the charging device 201 to output an excitation signal to the first battery in the power-consuming device 101 during the charging process; the excitation signal includes at least two sets of signals output sequentially.

[0290] The power supply device 101 is also used to acquire at least two sets of target battery parameters of the first battery based on at least two sets of excitation signals; the target battery parameters include the battery parameters of the first battery in a target time period, and the target time period includes the excitation time period of the excitation signal and the non-excitation time period adjacent to the excitation time period;

[0291] The power supply device 101 is also used to perform parameter identification on the battery model of the first battery according to the parameters of each group of target batteries, so as to obtain the identification results corresponding to each group of target time periods.

[0292] The power supply device 101 is also used to obtain the charging capacity of the first battery at a reference time in each target time period, and to determine the health status of the first battery based on the identification results of each target time period and the charging capacity at the corresponding reference time.

[0293] In one embodiment, as shown in FIG17, the charging and discharging system 10 further includes a relay device 301 that communicates with the power-consuming device 101 and the charging device 201; the relay device 301 is used to control the charging device 201 to input an excitation signal to the first battery in the power-consuming device 101 in response to an excitation request.

[0294] Optionally, the power-consuming device 101 may send an excitation signal to the relay device 301 to instruct the relay device 301 to control the charging device 201 to input an excitation signal to the first battery in the power-consuming device 101 through the second battery. The relay device 301 may also autonomously trigger an excitation request based on user operation.

[0295] In one embodiment, as shown in FIG18, this application provides a charging and discharging system, including an electrical device 101, a charging device 201, and a server 401.

[0296] The charging device 201 is used to input an excitation signal to the first battery in the power-consuming device 101 during the charging process; the excitation signal includes at least two sets of signals output sequentially; the first battery is used to generate at least two sets of target battery parameters under the action of the excitation signal; the target battery parameters include the battery parameters of the first battery in a target time period, and the target time period includes the excitation time period of the excitation signal and the non-excitation time period adjacent to the excitation time period;

[0297] Server 401 is used to obtain target battery parameters, and to perform parameter identification on the battery model of the first battery according to each set of target battery parameters, to obtain the identification results corresponding to each set of target time periods, and to obtain the charging capacity of the first battery at a reference time in each set of target time periods, and to determine the health status of the first battery according to the identification results of each set of target time periods and the charging capacity at the corresponding reference time.

[0298] In one embodiment, as shown in FIG19, the charging and discharging system 10 further includes a relay device 301 that communicates with the power-consuming device 101 and the charging device 201; the relay device 301 is used to control the charging device 201 to input an excitation signal to the first battery in the power-consuming device 101 in response to an excitation request.

[0299] Optionally, the relay device 301 can trigger an incentive request autonomously based on user operation, or it can receive incentive requests sent by other devices, such as receiving an incentive request sent by the power-consuming device 101.

[0300] It should be noted that the specific process for determining the health status of the first battery can be found in the relevant descriptions in the above embodiments, and the effect is similar, so it will not be repeated here.

[0301] In one embodiment, as shown in FIG20, a battery health status determination device is provided, including: an excitation input module 2001, a parameter acquisition module 2002, a parameter identification module 2003, and a status determination module 2004; wherein:

[0302] The excitation input module 2001 is used to input an excitation signal to the first battery in the electrical device during the charging process; the excitation signal includes at least two sets of signals output sequentially.

[0303] The parameter acquisition module 2002 is used to acquire at least two sets of target battery parameters of the first battery based on at least two sets of excitation signals; the target battery parameters include the battery parameters of the first battery in a target time period, and the target time period includes the excitation period of the excitation signal and the non-excitation period adjacent to the excitation period;

[0304] The parameter identification module 2003 is used to identify the parameters of the battery model of the first battery according to each set of target battery parameters, and obtain the identification results corresponding to each set of target time periods;

[0305] The status determination module 2004 is used to obtain the charging capacity of the first battery at a reference time in each target time period, and determine the health status of the first battery based on the identification results of each target time period and the charging capacity at the corresponding reference time.

[0306] In one embodiment, as shown in FIG21, a battery health status determination device is provided, including: an excitation module 2101, an acquisition module 2102, an identification module 2103, and a status module 2104; wherein:

[0307] The excitation module 2101 is used to send an excitation signal request; the excitation signal request is used to instruct the charging device to input an excitation signal to the first battery in the power-consuming device during the charging process; the excitation signal includes at least two sets of signals output sequentially.

[0308] The acquisition module 2102 is used to acquire at least two sets of target battery parameters of the first battery based on at least two sets of excitation signals; the target battery parameters include the battery parameters of the first battery in a target time period, and the target time period includes the excitation time period of the excitation signal and the non-excitation time period adjacent to the excitation time period;

[0309] The identification module 2103 is used to identify the parameters of the battery model of the first battery according to each set of target battery parameters, and obtain the identification results corresponding to each set of target time periods;

[0310] The status module 2104 is used to obtain the charging capacity of the first battery at a reference time in each target time period, and to determine the health status of the first battery based on the identification results of each target time period and the charging capacity at the corresponding reference time.

[0311] The modules in the aforementioned battery health status determination device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the memory of a computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0312] In an exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in Figure 22. 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 connected to the system bus via the input / output interface. The processor of the computer device provides computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The input / output interface of the computer device is used for exchanging information between the processor and external devices. The communication interface of the computer device is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, Near Field Communication (NFC), or other technologies. When the computer program is executed by the processor, it implements a method for determining battery health status. The display unit of the computer device is used to form a visually visible image and may be a display screen, a projection device, or a 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.

[0313] Those skilled in the art will understand that the structure shown in Figure 22 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.

[0314] In one 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 any of the above-described battery health status determination methods.

[0315] 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 any of the above-described battery health status determination methods.

[0316] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps of any of the above-described battery health status determination methods.

[0317] Those skilled in the art will understand that all or part of the processes in the methods of 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, and when executed, it can include the processes of the embodiments of the above methods. 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.

[0318] 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.

[0319] 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 method for determining battery health status, wherein, The method includes: During the charging process of the electrical device, an excitation signal is input to the first battery in the electrical device; the excitation signal includes at least two sets output sequentially. Based on at least two sets of excitation signals, at least two sets of target battery parameters of the first battery are obtained; the target battery parameters include the battery parameters of the first battery in a target time period, and the target time period includes the excitation period of the excitation signals and the non-excitation period adjacent to the excitation period; Based on the target battery parameters of each group, the battery model of the first battery is parameter identified to obtain the identification results corresponding to each target time period. The charging capacity of the first battery at a reference time in each of the target time periods is obtained, and the health status of the first battery is determined based on the identification results of each of the target time periods and the charging capacity at the corresponding reference time.

2. The method according to claim 1, wherein, The input of an excitation signal to the first battery in the electrical device includes: Periodically acquire the charging parameters of the first battery; An excitation signal is input to the first battery according to the charging parameters.

3. The method according to claim 2, wherein, The step of inputting an excitation signal to the first battery according to the charging parameters includes: When the state of charge in the charging parameters meets a preset triggering condition, a set of excitation signals is input to the first battery; the preset triggering condition includes the change in state of charge reaching a preset change threshold; or, the state of charge reaching a preset state threshold.

4. The method according to claim 2 or 3, wherein, The step of inputting an excitation signal to the first battery according to the charging parameters includes: At least two sets of excitation signals are input to the first battery according to the charging current in the charging parameters; the at least two sets of excitation signals include at least one of negative excitation signals and positive excitation signals.

5. The method according to any one of claims 2-4, wherein, The step of inputting an excitation signal to the first battery according to the charging parameters includes: The target excitation amplitude is determined based on the charging rate in the charging parameters. An excitation signal with the target excitation amplitude is input to the first battery.

6. The method according to any one of claims 1-5, wherein, The step of identifying parameters of the battery model of the first battery based on each set of target battery parameters to obtain the identification result corresponding to each set of target time periods includes: For each set of target battery parameters, the battery model of the first battery is parameter identified based on the target battery parameters to obtain the open-circuit voltage of the first battery; The open-circuit voltage of the first battery is used as the identification result for each target time period.

7. The method according to claim 6, wherein, The battery model includes an equivalent circuit model; the step of parameter identification of the battery model of the first battery based on the target battery parameters to obtain the open-circuit voltage of the first battery includes: Based on the target battery parameters, the equivalent circuit model of the first battery is parameter identified to obtain the open-circuit voltage of the first battery.

8. The method according to any one of claims 1-7, wherein, Determining the health status of the first battery based on the identification results of each target time period and the charging capacity at the corresponding reference time includes: The state of charge of the first battery in each target time period is determined based on the identification results of each group of target time periods; The health status of the first battery is determined based on the state of charge of each target time period and the charging capacity at the corresponding reference time.

9. The method according to claim 8, wherein, The identification result includes the open-circuit voltage of the first battery; determining the state of charge of the first battery in each target time period based on the identification result of each target time period includes: For each target time period, the state of charge corresponding to the open circuit voltage of the first battery is determined according to the correspondence between the open circuit voltage and the state of charge, and is used as the state of charge of the first battery in the target time period.

10. The method according to claim 8, wherein, Determining the health status of the first battery based on the state of charge of each target time period and the charging capacity at the corresponding reference time includes: The maximum capacity of the first battery is determined based on the state of charge of each target time period and the charging capacity at the corresponding reference time. The health status of the first battery is determined based on the maximum capacity and the rated capacity of the first battery.

11. The method according to claim 10, wherein, Determining the maximum capacity of the first battery based on the state of charge of each target time period and the charging capacity at the corresponding reference time includes: The state of charge of each target time period and the charging capacity at the corresponding reference time are taken as a set of data to be processed. Linear fitting is performed on at least three sets of the data to be processed, or two-point fitting is performed on two sets of the data to be processed, to obtain the slope of the fitted line, and the slope is used as the maximum capacity of the first battery.

12. A method for determining battery health status, wherein, The method includes: Sending an excitation request; the excitation request is used to instruct the charging device to output an excitation signal to the first battery in the power-consuming device during the charging process; the excitation signal includes at least two sets output sequentially; Based on at least two sets of excitation signals, at least two sets of target battery parameters of the first battery are obtained; the target battery parameters include the battery parameters of the first battery in a target time period, and the target time period includes the excitation period of the excitation signals and the non-excitation period adjacent to the excitation period; Based on the target battery parameters of each group, the battery model of the first battery is parameter identified to obtain the identification results corresponding to each target time period. The charging capacity of the first battery at a reference time in each of the target time periods is obtained, and the health status of the first battery is determined based on the identification results of each of the target time periods and the charging capacity at the corresponding reference time.

13. The method according to claim 12, wherein, The process of obtaining at least two sets of target battery parameters for the first battery based on at least two sets of excitation signals includes: For each set of excitation signals, the battery parameters of the first battery during the excitation period and the battery parameters outside the excitation period are obtained according to the identification signal of the excitation signal. The battery parameters of the first battery during the excitation period and the battery parameters during the non-excitation period are used as a set of target battery parameters.

14. The method according to claim 13, wherein, The step of obtaining the battery parameters of the first battery during the excitation period and the battery parameters outside the excitation period based on the identification signal in the excitation signal includes: If the identification signal is not detected, the charging current and charging voltage of the first battery are sampled as battery parameters of the first battery during the non-excitation period; Upon detecting the identification signal, the charging current and charging voltage of the first battery are sampled as battery parameters of the first battery during the excitation period.

15. The method according to any one of claims 12-14, wherein, The duration of the excitation period is greater than or equal to the sampling period of the battery parameters of the first battery during the excitation period.

16. The method according to any one of claims 12-15, wherein, The sampling frequency of the battery parameters of the first battery during the excitation period is greater than the sampling frequency of the battery parameters of the first battery during the non-excitation period.

17. The method according to any one of claims 12-16, wherein, The step of obtaining the charging capacity of the first battery at a reference time in each of the target time periods includes: For each target time period, any moment in the excitation time period within the target time period is obtained as the reference moment; The charging capacity of the first battery at the reference time is determined based on the battery current of the first battery from the start of charging to the reference time.

18. A charging and discharging system, wherein, The system includes an electrical device and a charging device; The charging device is used to input an excitation signal to a first battery in the electrical device during the charging process; the excitation signal includes at least two sets of signals output sequentially. The charging device is further configured to acquire at least two sets of target battery parameters of the first battery based on at least two sets of excitation signals; the target battery parameters include the battery parameters of the first battery in a target time period, the target time period including the excitation period of the excitation signals and the non-excitation period adjacent to the excitation period; The charging device is also used to perform parameter identification on the battery model of the first battery according to each set of target battery parameters, and obtain the identification result corresponding to each set of target time periods; The charging device is further configured to obtain the charging capacity of the first battery at a reference time in each of the target time periods, and determine the health status of the first battery based on the identification results of each of the target time periods and the charging capacity at the corresponding reference time.

19. The charging and discharging system according to claim 18, wherein, The charging and discharging system further includes a relay device that communicates with the power-consuming device and the charging device; the relay device is used to control the charging device to input an excitation signal to the first battery in the power-consuming device in response to an excitation request.

20. A charging and discharging system, wherein, The system includes an electrical device and a charging device; The power-consuming device is used to send an excitation request; the excitation request is used to instruct the charging device to output an excitation signal to the first battery in the power-consuming device during the charging process; the excitation signal includes at least two sets output sequentially; The electrical device is also used to acquire at least two sets of target battery parameters of the first battery based on at least two sets of excitation signals; the target battery parameters include the battery parameters of the first battery in a target time period, and the target time period includes the excitation period of the excitation signal and the non-excitation period adjacent to the excitation period; The power-consuming device is also used to perform parameter identification on the battery model of the first battery according to each set of target battery parameters, and obtain the identification result corresponding to each set of target time periods; The power device is also used to obtain the charging capacity of the first battery at a reference time in each of the target time periods, and to determine the health status of the first battery based on the identification results of each of the target time periods and the charging capacity at the corresponding reference time.

21. The charging and discharging system according to claim 20, wherein, The charging and discharging system further includes a relay device that communicates with the power-consuming device and the charging device; the relay device is used to control the charging device to input an excitation signal to the first battery in the power-consuming device in response to the excitation request.

22. A charging and discharging system, wherein, The system includes electrical devices, charging devices, and a server; The charging device is used to input an excitation signal to a first battery in the power-consuming device during the charging process; the excitation signal includes at least two sets of signals output sequentially; the first battery is used to generate at least two sets of target battery parameters under the action of the excitation signal; the target battery parameters include the battery parameters of the first battery in a target time period, and the target time period includes the excitation period of the excitation signal and the non-excitation period adjacent to the excitation period; The server is used to acquire the target battery parameters, and to perform parameter identification on the battery model of the first battery according to each set of target battery parameters, to obtain the identification result corresponding to each set of target time periods, and to acquire the charging capacity of the first battery at a reference time in each set of target time periods, and to determine the health status of the first battery according to the identification result of each set of target time periods and the charging capacity at the corresponding reference time.

23. The charging and discharging system according to claim 22, wherein, The charging and discharging system further includes a relay device that communicates with the power-consuming device and the charging device; the relay device is used to control the charging device to input an excitation signal to the first battery in the power-consuming device in response to an excitation request.

24. A battery health status determination device, wherein, The device includes: An excitation input module is used to input an excitation signal to a first battery in the electrical device during the charging process; the excitation signal includes at least two sets of signals output sequentially. The parameter acquisition module is used to acquire at least two sets of target battery parameters of the first battery based on at least two sets of excitation signals; the target battery parameters include the battery parameters of the first battery in a target time period, and the target time period includes the excitation period of the excitation signal and the non-excitation period adjacent to the excitation period; The parameter identification module is used to identify the parameters of the battery model of the first battery according to each set of target battery parameters, and obtain the identification results corresponding to each set of target time periods; The status determination module is used to obtain the charging capacity of the first battery at a reference time in each of the target time periods, and determine the health status of the first battery based on the identification results of each of the target time periods and the charging capacity at the corresponding reference time.

25. A battery health status determination device, wherein, The device includes: An excitation module is used to send an excitation signal request; the excitation signal request is used to instruct the charging device to input an excitation signal to the first battery in the power-consuming device during the charging process; the excitation signal includes at least two sets output sequentially. The parameter module is used to obtain at least two sets of target battery parameters for the first battery based on at least two sets of excitation signals; the target battery parameters include the battery parameters of the first battery in a target time period, and the target time period includes the excitation period of the excitation signals and the non-excitation period adjacent to the excitation period; The identification module is used to identify the parameters of the battery model of the first battery according to each set of target battery parameters, and obtain the identification results corresponding to each set of target time periods; The status module is used to obtain the charging capacity of the first battery at a reference time in each of the target time periods, and to determine the health status of the first battery based on the identification results of each of the target time periods and the charging capacity at the corresponding reference time.

26. A computer device comprising a memory and a processor, wherein the memory stores a computer program, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1-17.

27. A computer-readable storage medium having a computer program stored thereon, wherein, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1-17.

28. A computer program product comprising a computer program, wherein, When executed by a processor, the computer program implements the steps of the method according to any one of claims 1-17.

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