A charge-discharge terminal voltage self-adaptive adjusting method for prolonging battery life

Abstract

The application discloses a kind of terminal voltage self-adaptive regulation methods of charge-discharge for improving battery life, it is related to battery charge-discharge technical field, comprising the following steps: real-time acquisition battery operation data and the battery operation data is preprocessed, and the battery operation data after preprocessing is obtained;Based on the battery operation data after preprocessing, the future battery health state change trend is predicted using the battery aging model with humidity factor, and the predicted health state is obtained;Based on the error of the predicted health state and target health state, the control signal is generated by the control algorithm of adaptive adjustment control parameter, and the control signal is converted into charge-discharge voltage upper and lower limit;The charge-discharge voltage upper and lower limit obtained by conversion is fed back to battery management system, to dynamically adjust the charge-discharge process of battery.

Description

Technical Field

[0001] This invention relates to the field of battery charging and discharging technology, and in particular to an adaptive adjustment method for the end voltage of charging and discharging to improve battery life. Background Technology

[0002] With the rapid development of new energy technologies and smart devices, lithium-ion batteries have been widely used in smartphones, electric vehicles, energy storage systems, and aerospace due to their advantages such as high energy density, long cycle life, and no memory effect. However, in practical applications, the lifespan of lithium-ion batteries is affected by various factors, among which voltage control strategies during charging and discharging are particularly critical. Inappropriate charge and discharge voltage boundaries can accelerate the aging process of the battery's internal electrochemical reactions, leading to faster capacity decay, increased internal resistance, and in severe cases, even thermal runaway and other safety hazards.

[0003] In related technologies, battery management systems typically use fixed upper charging voltage and lower discharging voltage limits to control the battery's operating range. While this fixed threshold control method is simple to implement, it cannot adapt to changes in battery state at different life stages and under different operating environments. As the battery ages, fixed high voltage limits will accelerate battery degradation; and in complex environments such as high humidity or extreme temperatures, traditional aging models that only consider temperature factors have significant deviations in predicting changes in battery health, thus affecting the accuracy of voltage control. Furthermore, although some existing methods introduce closed-loop control concepts, the control parameters are usually fixed and lack the ability to adaptively adjust according to the real-time degradation rate of the battery, resulting in a lag in response to aging.

[0004] Therefore, existing technologies still have the problem of not being able to dynamically adjust the end voltage of charging and discharging based on the real-time health status of the battery and complex environmental conditions. Summary of the Invention

[0005] The main objective of this invention is to provide a method for adaptive adjustment of the charge / discharge end voltage to improve battery life.

[0006] Another objective of this invention is to provide an adaptive voltage adjustment device for the end of charging and discharging to improve battery life.

[0007] The third objective of this invention is to provide a computer device.

[0008] A fourth objective of this invention is to provide a non-transitory computer-readable storage medium.

[0009] To achieve the above objectives, a first aspect of the present invention provides a method for adaptive adjustment of the charge / discharge end voltage to improve battery life, comprising:

[0010] Real-time battery operation data is collected and preprocessed to obtain preprocessed battery operation data; Based on the preprocessed battery operating data, the future battery health status trend is predicted using a battery aging model that incorporates a humidity factor, thus obtaining the predicted health status. Based on the error between the predicted health status and the target health status, a control signal is generated through a control algorithm that adaptively adjusts the control parameters, and the control signal is converted into upper and lower limits of charging and discharging voltage. The converted upper and lower limits of the charge and discharge voltage are fed back to the battery management system to dynamically adjust the battery's charge and discharge process.

[0011] In one embodiment of the present invention, the real-time acquisition of battery operating data and the preprocessing of the battery operating data to obtain preprocessed battery operating data include: The system collects real-time battery operation data, including voltage, initial health, current, humidity, and temperature data, through sensors. The battery operating data is subjected to outlier identification and removal, and missing value filling to obtain cleaned battery operating data. The cleaned battery operating data is filtered and noise-reduced to obtain filtered battery operating data. The filtered battery operating data is then normalized to convert data of different scales to the same range, resulting in preprocessed battery operating data.

[0012] In one embodiment of the present invention, the step of predicting the future battery health status trend based on the preprocessed battery operating data using a battery aging model incorporating a humidity factor, and obtaining the predicted health status, includes: Feature extraction is performed on the preprocessed battery operating data to obtain battery operating features; The battery operating characteristics are input into the basic aging model built on the Arrhenius equation to obtain the battery health status at the current moment; A humidity factor is introduced to optimize the basic aging model, and the battery health status at future times is calculated based on the optimized battery aging model as the predicted health status.

[0013] In one embodiment of the present invention, the step of generating a control signal based on the error between the predicted health state and the target health state through a control algorithm that adaptively adjusts control parameters, and converting the control signal into upper and lower limits of charge and discharge voltage, includes: Calculate the error signal between the predicted health status and the target health status; The error signal is input into the PID control algorithm, and the PID control parameters are dynamically adjusted according to the current aging rate of the battery to generate a control signal. The control signal is converted into upper and lower limits of charge and discharge voltage through a nonlinear mapping relationship, and a safety threshold constraint is applied to the converted upper and lower limits of voltage.

[0014] In one embodiment of the present invention, converting the control signal into upper and lower limits of charge / discharge voltage through a nonlinear mapping relationship includes: The control signal is converted into an upper limit for charging voltage and a lower limit for discharging voltage based on an exponential nonlinear mapping, wherein the upper limit for charging voltage decreases as the control signal increases, and the lower limit for discharging voltage increases as the control signal increases. Apply safety upper limit constraints and safety lower limit constraints to the upper limit of the charging voltage and the lower limit of the discharging voltage obtained by the conversion, respectively.

[0015] In one embodiment of the present invention, feeding back the converted upper and lower limits of the charge / discharge voltage to the battery management system to dynamically adjust the battery's charge / discharge process includes: The updated voltage threshold is written to the configurable parameter register of the battery management system, triggering the voltage protection mechanism. When the real-time voltage exceeds the dynamically adjusted upper limit of the voltage, reduce the charging current or disconnect the charging circuit. When the real-time voltage is lower than the dynamically adjusted lower voltage limit, limit the load power or disconnect the discharge circuit.

[0016] To achieve the above objectives, a second aspect of the present invention provides a charge / discharge end voltage adaptive adjustment device for improving battery life, comprising: The data acquisition and preprocessing module is used to acquire battery operating data in real time and preprocess the battery operating data to obtain preprocessed battery operating data. The health status prediction module is used to predict the future trend of battery health status changes based on the preprocessed battery operating data and a battery aging model that incorporates a humidity factor, thereby obtaining the predicted health status. An adaptive control and voltage limit generation module is used to generate a control signal based on the error between the predicted health state and the target health state through a control algorithm that adaptively adjusts control parameters, and converts the control signal into upper and lower limits of charge and discharge voltage. The charge / discharge dynamic adjustment module is used to feed back the converted upper and lower limits of the charge / discharge voltage to the battery management system in order to dynamically adjust the battery's charge / discharge process.

[0017] To achieve the above objectives, a third aspect of this application provides a computer device, including a processor and a memory; wherein the processor reads executable program code stored in the memory to run a program corresponding to the executable program code, for implementing a method for adaptive adjustment of charge / discharge end voltage to improve battery life as described in the first aspect embodiment.

[0018] To achieve the above objectives, a fourth aspect of this application provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a method for adaptive adjustment of charge-discharge end voltage to improve battery life as described in the first aspect embodiment.

[0019] The embodiments of the present invention have the following beneficial effects: This invention improves the quality and consistency of input data through real-time acquisition and multi-level preprocessing of multi-dimensional battery operation data, providing a reliable foundation for subsequent health status prediction. By introducing a humidity factor into the Arrhenius aging model, the accuracy and adaptability of battery health status prediction under complex environments are improved. Through adaptive PID control based on health status error and nonlinear voltage mapping, continuous and smooth adjustment of the end-charge and discharge voltage is achieved, effectively extending battery life. By dynamically correcting the PID gain based on the aging rate and constraining parameter amplitude, the robustness and stability of the controller at different aging stages are enhanced. Attached Figure Description

[0020] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 A flowchart of a method for adaptive adjustment of charge / discharge end voltage to improve battery life, provided in an embodiment of the present invention; Figure 2 This is a structural diagram of a charge / discharge end voltage adaptive adjustment device for improving battery life, provided in an embodiment of the present invention. Detailed Implementation

[0021] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0022] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0023] The following describes, with reference to the accompanying drawings, an embodiment of the present invention, a method for adaptive adjustment of charge and discharge end voltage to improve battery life.

[0024] Example 1 This embodiment provides a method for adaptive adjustment of the charge / discharge end voltage to improve battery life, such as... Figure 1 As shown, the method includes the following steps: S1, real-time acquisition of battery operation data and preprocessing of the battery operation data to obtain preprocessed battery operation data.

[0025] S2, Based on the preprocessed battery operating data, the battery aging model incorporating a humidity factor is used to predict the future trend of battery health status changes, thereby obtaining the predicted health status.

[0026] S3, based on the error between the predicted health state and the target health state, a control signal is generated through a control algorithm that adaptively adjusts the control parameters, and the control signal is converted into upper and lower limits of the charging and discharging voltage.

[0027] S4 feeds back the converted upper and lower limits of the charge and discharge voltage to the battery management system to dynamically adjust the battery's charge and discharge process.

[0028] S1. Collect battery operation data in real time through sensors and perform preprocessing operations on the collected battery operation data.

[0029] Specifically, step S1 includes: Battery operating data is collected in real time using sensors, and this data is then preprocessed. The battery operating data includes voltage, initial health, current, humidity, and temperature data. The specific preprocessing steps are as follows: S1.1, outliers are identified and removed using statistical methods, and missing values ​​are filled in using interpolation to obtain the cleaned battery operating data; S1.2, Based on the cleaned battery operating data, the influence of noise on battery environmental measurement is reduced by low-pass filtering technology to obtain filtered battery operating data; S1.3, Based on the filtered battery operating data, Z-Score is used for normalization to transform data of different scales to the same range, resulting in preprocessed battery operating data.

[0030] Specifically, step S2 includes: Based on preprocessed battery operating data, a battery aging model is used to predict future battery health status trends. A humidity factor is introduced to optimize the battery aging model. The specific steps are as follows: S2.1, Based on the preprocessed battery operating data, feature extraction is performed using a time-domain feature method to obtain battery operating features; S2.2, a basic aging model is constructed using the Arrhenius equation, and the battery operating characteristics extracted in S2.1 are input into the basic aging model to obtain the battery health status at the current moment. The mathematical expression of the basic aging model is: ; In the formula, Indicates time The current battery health status is the ratio of the current battery capacity to the initial capacity; This indicates the initial health state (new battery). The capacity retention rate of a new battery is usually set to 100%. This represents the aging rate constant; This represents the activation energy, used to describe the effect of temperature on the aging reaction rate; a larger value indicates a more significant effect of temperature. Represents the gas constant, with a value of ; Represents thermodynamic temperature, which is the temperature of the environment in which the battery is located or during operation; This indicates the charging and discharging current. The magnitude of the current has a significant impact on the aging rate; a high current will accelerate aging. This represents the current exponent, used to fit the nonlinear effect of current on the aging rate, and is typically taken as a value within... between; Indicates time; S2.3, Introduce a humidity factor to optimize the basic aging model, and calculate the battery health status at future times based on the optimized battery aging model as the predicted health status. The specific steps are as follows: S2.3.1 Introducing a humidity factor to optimize the battery aging model, the mathematical expressions involved in the optimized battery aging model are as follows: ; In the formula, Indicates the first Battery health status during the step; The time step count indicates how many time steps from the current point in time the battery's health status is predicted to change. Indicates the first Calculations are performed at each time step; Indicates the first Thermodynamic temperature of the step; Indicates the first The charging and discharging current of the step; This represents the humidity influence coefficient, with a value range of [value range missing]. ; Indicates the first The relative humidity of the step; Indicates the time step; S2.3.2, optimize the model parameters using the root mean square error function. The mathematical expression of the root mean square error function is: ; In the formula, Indicates the root mean square error; Indicates the total number of samples; Indicates the first Predicting health status step by step; Indicates the first The true state of health of each step.

[0031] Specifically, step S3 includes: Based on the predicted health status obtained from S2, the upper and lower limits of the charging and discharging voltage are dynamically adjusted using a PID control algorithm. The specific steps are as follows: S3.1, based on the obtained battery health status Error in calculating the target battery's state of health Then the mathematical expression involved in calculating the error signal is: ; In the formula, This represents the error between the target battery health state and the actual battery health state. Indicates the target battery's health status; S3.2, the obtained error The data is input into the PID control algorithm, and the battery health status is obtained. By dynamically adjusting the PID parameters, control signals for adjusting the upper and lower limits of the charge and discharge voltage can be obtained. Then calculate the control signal. The mathematical expressions involved are: ; In the formula, This indicates the control signal for adjusting the upper and lower limits of the charge and discharge voltage; This represents the proportional term, based on the current error. Adjust the controller output; This represents the integral term, which adjusts the controller output based on the accumulated error. express Time error, Indicates the time step index; This represents the differential term, which adjusts the controller output based on the rate of change of the error. S3.3, the control signal obtained based on S3.2 The control signal is controlled through a nonlinear relationship. Converted into upper and lower limits of charge and discharge voltage.

[0032] Among them, the battery health status obtained The specific steps for dynamically adjusting PID parameters are as follows: S3.2.1, based on the obtained battery health status Calculate aging rate The mathematical expression for calculating the aging rate is: ; In the formula, Indicates the aging rate; S3.2.2, Aging rate obtained through S3.2.1 When dynamically adjusting PID parameters, the mathematical expression involved in adjusting the PID parameters is: ; ; ; In the formula, This represents the dynamically adjusted proportional gain. Indicates the initial proportional gain; The adaptive coefficient of the proportional term is used to determine... right The intensity of the influence, with a value range of [value missing]. ; This represents the dynamically adjusted integral gain. Indicates the initial integral gain; The adaptive coefficients of the integral term are used to determine... right The intensity of the influence, with a value range of [value missing]. ; This represents the dynamically adjusted differential gain. Indicates the initial differential gain; The adaptive coefficients of the differential term are used to determine... right The intensity of the influence, with a value range of [value missing]. ; S3.2.3, setting upper and lower limit constraints for each PID parameter, the mathematical expression for the constraint of each PID parameter is: ； ； ; In the formula, express The minimum value of the parameter; express The maximum value of the parameter; express The minimum value of the parameter; express The maximum value of the parameter; express The minimum value of the parameter; express The maximum value of the parameter.

[0033] To prevent overshoot or oscillation caused by the accumulation of the integral term, an anti-saturation mechanism is introduced into the integral term, which limits the maximum and minimum values ​​of the integral term. Furthermore, a low-pass filter is used in the derivative term to suppress noise amplification and improve control accuracy.

[0034] In this embodiment, S3.3, the control signal obtained in S3.2 is... The control signal is controlled through a nonlinear relationship. The specific steps for converting the upper and lower limits of charge and discharge voltage are as follows: S3.3.1, Based on exponential nonlinear mapping, the control signal... Converting to the upper and lower limits of charge / discharge voltage, the mathematical expression for converting to the upper limit of charging voltage is: ; In the formula, Indicates time The upper limit of the charging voltage at that time; This indicates the upper limit of the initial charging voltage, the maximum charging voltage set when the battery is in a new state; This represents the voltage drop amplitude coefficient, used to control the maximum value of the voltage drop range, determining the maximum adjustment amplitude, and its value range is... ; This represents the adjustment rate parameter, with a value range of [value range missing]. ; The mathematical expression for converting to the lower limit of discharge voltage is: ; In the formula, Indicates time The lower limit of the discharge voltage at that time; This indicates the initial discharge voltage lower limit (for a new battery), the minimum discharge voltage set when the battery is new; This represents the voltage rise amplitude coefficient, used to control the maximum value of the voltage rise range, with a value range of [value missing]. ; S3.3.2 sets upper and lower limit constraints for charging and discharging voltages. The mathematical expression for setting the upper limit constraint for charging voltage is: ; In the formula, Indicates time The upper limit of the charging voltage at that time is the maximum allowable charging voltage after dynamic adjustment; This indicates the upper limit of the safe charging voltage, which is the maximum safe charging voltage specified by the battery manufacturer. The mathematical expression for setting the lower limit of the discharge voltage is: ; In the formula, Indicates time The lower limit of the discharge voltage at that time is the minimum allowable discharge voltage after dynamic adjustment; This indicates the lower limit of the safe discharge voltage, which is the minimum safe discharge voltage specified by the battery manufacturer.

[0035] The reason for choosing the exponential nonlinear mapping function is that it responds smoothly in the small signal range, while rapidly approaching the limit value in the large signal range, thereby avoiding drastic changes in the voltage boundary and improving system stability and safety.

[0036] Specifically, step S4 includes: By feeding back the updated voltage threshold to the battery management system, dynamic adjustment of the charging and discharging process is achieved. The specific steps are as follows: The new voltage threshold is input into the configurable parameter register of the battery management system, activating the battery management system's voltage protection mechanism. Greater than When, reduce the charging current and disconnect the charging circuit; when Less than At this time, limit the load power and disconnect the discharge circuit.

[0037] Specifically, the beneficial effects of the present invention include: 1. The adaptive voltage adjustment method and system for improving battery life at the end of charging and discharging uses sensors to collect battery operating data (voltage, current, temperature, humidity, internal resistance) in real time, and performs outlier removal, filtering and normalization on the data to improve data quality and consistency, providing reliable input for subsequent health status prediction. This solves the problem of large aging prediction errors caused by environmental noise interference, data missing and inconsistent scales in traditional methods.

[0038] 2. In this method and system for adaptive adjustment of charge and discharge end voltage to improve battery life, a battery aging model that includes the effects of temperature and humidity is established by introducing a humidity correction term on the Arrhenius model. This improves the model's prediction accuracy of battery aging behavior under complex climatic conditions and solves the problem that traditional aging models do not consider humidity factors and cannot accurately reflect the actual degradation trend of batteries in outdoor energy storage systems.

[0039] 3. In this adaptive adjustment method and system for the end-charge / discharge voltage to improve battery life, the error is calculated by comparing the battery's health status with the target value. The input to the PID controller generates a voltage adjustment signal. This enables continuous, smooth, and adaptive adjustment of the charge and discharge voltage boundaries, solving the problem of premature aging or capacity waste caused by fixed voltage thresholds and improving battery life.

[0040] 4. In this method and system for adaptively adjusting the charge / discharge end voltage to improve battery life, the aging rate is... Adjusting PID gain , , It also sets upper and lower limit constraints to prevent runaway, enhances the robustness and stability of the controller, adapts to the dynamic response requirements of different aging stages, and solves the problem that the traditional PID controller has a fixed gain and cannot cope with the control deviation caused by changes in battery performance.

[0041] Example 2 This invention also provides an adaptive voltage adjustment device for the end of charging and discharging to improve battery life, such as... Figure 2 As shown, the device 10 includes: The data acquisition and preprocessing module 100 is used to acquire battery operating data in real time and preprocess the battery operating data to obtain preprocessed battery operating data. The health status prediction module 200 is used to predict the future trend of battery health status changes based on the preprocessed battery operating data and a battery aging model that incorporates a humidity factor, thereby obtaining the predicted health status. The adaptive control and voltage limit generation module 300 is used to generate a control signal based on the error between the predicted health state and the target health state through a control algorithm that adaptively adjusts the control parameters, and convert the control signal into upper and lower limits of the charging and discharging voltage. The charge / discharge dynamic adjustment module 400 is used to feed back the converted upper and lower limits of the charge / discharge voltage to the battery management system in order to dynamically adjust the charge / discharge process of the battery.

[0042] Example 3 To implement the methods of the above embodiments, the present invention also provides a computer device, which includes a memory and a processor; wherein the processor reads executable program code stored in the memory to run a program corresponding to the executable program code, so as to implement the various steps of the methods described above.

[0043] Example 4 To implement the above embodiments, this application also proposes a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the method described in the foregoing embodiments.

[0044] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

[0045] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0046] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

Claims

1. A method for adaptive adjustment of charge / discharge terminal voltage to improve battery life, characterized in that, Includes the following steps: Real-time battery operation data is collected and preprocessed to obtain preprocessed battery operation data; Based on the preprocessed battery operating data, the future battery health status trend is predicted using a battery aging model that incorporates a humidity factor, thus obtaining the predicted health status. Based on the error between the predicted health status and the target health status, a control signal is generated through a control algorithm that adaptively adjusts the control parameters, and the control signal is converted into upper and lower limits of charging and discharging voltage. The converted upper and lower limits of the charge and discharge voltage are fed back to the battery management system to dynamically adjust the battery's charge and discharge process.

2. The method according to claim 1, characterized in that, The real-time acquisition of battery operating data and the preprocessing of the battery operating data to obtain preprocessed battery operating data include: The system collects real-time battery operation data, including voltage, initial health, current, humidity, and temperature data, through sensors. The battery operating data is subjected to outlier identification and removal, and missing value filling to obtain cleaned battery operating data. The cleaned battery operating data is filtered and noise-reduced to obtain filtered battery operating data. The filtered battery operating data is then normalized to convert data of different scales to the same range, resulting in preprocessed battery operating data.

3. The method according to claim 1, characterized in that, The process of predicting future battery health status based on the preprocessed battery operating data, using a battery aging model incorporating a humidity factor, yields the predicted health status, including: Feature extraction is performed on the preprocessed battery operating data to obtain battery operating features; The battery operating characteristics are input into the basic aging model built on the Arrhenius equation to obtain the battery health status at the current moment; A humidity factor is introduced to optimize the basic aging model, and the battery health status at future times is calculated based on the optimized battery aging model as the predicted health status.

4. The method according to claim 1, characterized in that, The control signal is generated by an adaptive adjustment control algorithm based on the error between the predicted health state and the target health state, and the control signal is converted into upper and lower limits of charge and discharge voltage, including: Calculate the error signal between the predicted health status and the target health status; The error signal is input into the PID control algorithm, and the PID control parameters are dynamically adjusted according to the current aging rate of the battery to generate a control signal. The control signal is converted into upper and lower limits of charge and discharge voltage through a nonlinear mapping relationship, and a safety threshold constraint is applied to the converted upper and lower limits of voltage.

5. The method according to claim 4, characterized in that, The step of converting the control signal into upper and lower limits of charge / discharge voltage through a nonlinear mapping relationship includes: The control signal is converted into an upper limit for charging voltage and a lower limit for discharging voltage based on an exponential nonlinear mapping, wherein the upper limit for charging voltage decreases as the control signal increases, and the lower limit for discharging voltage increases as the control signal increases. Apply safety upper limit constraints and safety lower limit constraints to the upper limit of the charging voltage and the lower limit of the discharging voltage obtained by the conversion, respectively.

6. The method according to claim 1, characterized in that, The step of feeding back the converted upper and lower limits of the charge and discharge voltage to the battery management system to dynamically adjust the battery's charge and discharge process includes: The updated voltage threshold is written to the configurable parameter register of the battery management system, triggering the voltage protection mechanism. When the real-time voltage exceeds the dynamically adjusted upper limit, the charging current is reduced or the charging circuit is disconnected; when the real-time voltage is lower than the dynamically adjusted lower limit, the load power is limited or the discharge circuit is disconnected.

7. A charge / discharge end voltage adaptive adjustment device for improving battery life, characterized in that, include: The data acquisition and preprocessing module is used to acquire battery operating data in real time and preprocess the battery operating data to obtain preprocessed battery operating data. The health status prediction module is used to predict the future trend of battery health status changes based on the preprocessed battery operating data and a battery aging model that incorporates a humidity factor, thereby obtaining the predicted health status. An adaptive control and voltage limit generation module is used to generate a control signal based on the error between the predicted health state and the target health state through a control algorithm that adaptively adjusts the control parameters, and converts the control signal into upper and lower limits of the charging and discharging voltage. The charge / discharge dynamic adjustment module is used to feed back the converted upper and lower limits of the charge / discharge voltage to the battery management system in order to dynamically adjust the battery's charge / discharge process.

8. A computer device, characterized in that, Including processor and memory; The processor reads executable program code stored in the memory to run a program corresponding to the executable program code, so as to implement a method for adaptive adjustment of charge and discharge end voltage to improve battery life as described in any one of claims 1-6.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements a method for adaptive adjustment of charge and discharge end voltage to improve battery life as described in any one of claims 1-6.

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