Power regulation and control method and device of energy storage battery and electronic equipment

Abstract

The invention discloses a power regulation and control method and device of an energy storage battery and electronic equipment, and relates to the field of battery management. The method comprises the following steps: monitoring a first state parameter of a battery in real time, and constructing a multi-dimensional state space reflecting electrochemical activity attenuation and thermal runaway risk of the battery according to the first state parameter; wherein the state parameters comprise a thermal diffusion gradient, a polarization voltage abrupt change rate and a gas release rate; dynamically judging whether a power reduction mode is triggered or not according to the multi-dimensional state space; and when the power reduction mode is triggered, carrying out stepped power reduction operation on the battery until the output / input current of the battery is reduced to the load holding current. The technical problem that in the prior art, a single index is adopted for power management and control in battery management, charging and discharging may be stopped too early, and consequently part of actually available capacity cannot be utilized or battery life management is not facilitated is solved.

Description

Technical Field

[0001] This invention relates to the field of battery management technology, and in particular to a power regulation method, apparatus and electronic device for energy storage batteries. Background Technology

[0002] Most energy storage systems on the market use a host computer to analyze battery information sent by the BMS, and then control the charging and discharging power reduction strategy at the end of the system to monitor or maintain the battery status.

[0003] However, relying solely on a single threshold parameter to trigger a power reduction strategy fails to consider factors such as shortened battery life, abnormal charging, changes in voltage charging / discharging plateaus, cycle count, and lifespan degradation over long-term use. This means that the optimal adjustment point has already been missed after triggering the predetermined power reduction threshold. Misjudging the battery state and issuing incorrect charging / discharging power reduction strategies leads to a loss of charging / discharging capacity.

[0004] Therefore, how to achieve proactive safety warnings for battery life and optimal adaptive regulation within the battery life cycle is an urgent problem to be solved. Summary of the Invention

[0005] This invention provides a power regulation method, apparatus, and electronic device for energy storage batteries. It addresses the technical problem in existing technologies where battery management uses a single indicator for power control, which may prematurely stop charging and discharging, resulting in some usable capacity being unutilized or negatively impacting battery lifespan management. The technical solution is as follows:

[0006] In a first aspect, embodiments of the present invention provide a power regulation method for an energy storage battery, comprising:

[0007] The battery's first state parameters are monitored in real time, and a multi-dimensional state space reflecting the battery's electrochemical activity decay and thermal runaway risk is constructed based on the first state parameters; wherein, the state parameters include thermal diffusion gradient, polarization voltage abrupt change rate, and gas release rate;

[0008] The multi-dimensional state space is used to dynamically determine whether to trigger a power reduction mode;

[0009] When the power reduction mode is triggered, the battery is subjected to a stepped power reduction operation until the battery output / input current drops to the load sustaining current.

[0010] In some embodiments of the present invention, the multidimensional state space includes a safe state quadrant, a warning quadrant, and a danger quadrant for the battery state; the step of dynamically determining whether to trigger a power reduction mode based on the multidimensional state space includes:

[0011] Peak power charging and discharging is permitted within the safety quadrant.

[0012] Trigger an adaptive gradient power reduction strategy within the warning quadrant;

[0013] The emergency protection mechanism is triggered within the danger quadrant.

[0014] In some embodiments of the present invention, triggering the adaptive gradient power reduction strategy within the warning quadrant includes:

[0015] The battery's second state parameters are acquired in real time. Based on these parameters, a federated learning algorithm is used to collaboratively decide whether to activate the power reduction mode. The second state parameters include SOC, SOH, cycle count, and temperature.

[0016] A coupled model of voltage safety boundary is constructed based on the preset electrochemical activity entropy and polarization voltage mutation rate. The voltage safety boundary value of a single cell is determined according to the coupled model.

[0017] In some embodiments of the present invention, the stepped power reduction operation includes:

[0018] In the voltage drop power mode, starting from the highest single-cell voltage during charging or the lowest single-cell voltage during discharging breaking through the initial threshold, each trigger will reduce the current power to X times the power of the previous level, where X is the adaptive differential voltage step decay rate.

[0019] The number of power reduction operations is mapped to a nonlinear decay function of SOH. When SOH is greater than a first threshold, the number of first power reduction operations is determined. When SOH is less than a second threshold, the number of second power reduction operations is limited.

[0020] The allowed number of power reduction cycles is dynamically adjusted based on the gradient descent algorithm of the power reduction cycle and the power attenuation rate.

[0021] In some embodiments of the present invention, the stepped power reduction operation further includes:

[0022] In the temperature-reduced power mode, based on the battery temperature exceeding the preset temperature threshold, for every degree Celsius increase in temperature, the current power is reduced to Y times the power of the previous level, where Y is the linear temperature rise compensation factor.

[0023] The safe temperature threshold is dynamically calculated based on SOH, number of cycles, rate of temperature change, and direction of heat diffusion; the lower the SOH or the more cycles, the smaller the allowable temperature difference range is automatically.

[0024] In some embodiments of the present invention, the step-down power reduction operation on the battery further includes dynamic calibration of the power reduction parameters, including:

[0025] Based on the voltage curve of the short-board cell, the inflection point voltage of the sudden change in capacity decay rate is identified by the box plot method;

[0026] Determine a new voltage threshold based on the voltage at the abrupt change inflection point;

[0027] The new voltage threshold is determined using the following formula:

[0028] V_new=V_nominal-k·(V_nominal-V_p);

[0029] Where V_nominal is the nominal voltage, V_p is the identified inflection point voltage, and k is the correction coefficient.

[0030] In some embodiments of the present invention, the criteria for determining the short-board cell are that the state of oxygen (SOH) is lower than a first threshold or the capacity decay rate exceeds a second threshold per month.

[0031] In a second aspect, the present invention also provides a power regulation device for an energy storage battery, comprising:

[0032] A multi-dimensional state space construction module is used to monitor the first state parameters of the battery in real time and construct a multi-dimensional state space reflecting the battery's electrochemical activity decay and thermal runaway risk based on the first state parameters; wherein, the state parameters include thermal diffusion gradient, polarization voltage abrupt change rate and gas release rate;

[0033] The judgment module is used to dynamically determine whether to trigger the power reduction mode based on the multi-dimensional state space;

[0034] The power reduction module is used to perform a stepped power reduction operation on the battery when the power reduction mode is triggered, until the battery output / input current drops to the load sustaining current.

[0035] Thirdly, the present invention also provides an electronic device, comprising: a processor and a memory;

[0036] The memory stores a computer-readable program that can be executed by the processor;

[0037] When the processor executes the computer-readable program, it implements the steps in the power regulation method for the energy storage battery as described above.

[0038] Fourthly, the present invention also provides a computer-readable storage medium storing one or more programs that can be executed by one or more processors to implement the steps in the power regulation method for the energy storage battery as described above.

[0039] The beneficial effects of the technical solutions provided by some embodiments of the present invention include at least the following: A multi-dimensional state space is constructed based on thermal diffusion gradient, polarization voltage mutation rate, and gas release rate, accurately mapping key risks such as the decay of internal electrochemical activity and precursors of thermal runaway. The present invention can capture early signals of internal electrochemical anomalies, achieving risk warning and thus taking intervention measures before problems occur, avoiding the "locking the stable door after the horse has bolted" lag of traditional methods. The constructed multi-dimensional state space and dynamic calibration mechanism enable the power reduction strategy to adaptively adjust with changes in battery state of health (SOH), cycle life, etc., avoiding misjudgments caused by fixed thresholds, achieving more refined power management, and maximizing charge / discharge capacity and cycle life while ensuring safety. Attached Figure Description

[0040] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0041] Figure 1 A system architecture diagram of an embodiment of the power regulation method for energy storage batteries provided by the present invention;

[0042] Figure 2 A flowchart illustrating an embodiment of the power regulation method for an energy storage battery provided by the present invention;

[0043] Figure 3 for Figure 2 A flowchart of a method according to an embodiment of step S202;

[0044] Figure 4 A flowchart illustrating another embodiment of the power regulation method for energy storage batteries provided by the present invention;

[0045] Figure 5 This is a schematic diagram of an embodiment of the power regulation device for energy storage batteries provided by the present invention;

[0046] Figure 6 This is a schematic diagram of the operating environment of an embodiment of the electronic device provided by the present invention. Detailed Implementation

[0047] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0048] It should be noted that the power regulation method for energy storage batteries provided in this application is generally executed by the terminal equipment, and correspondingly, the power regulation device for energy storage batteries is generally installed in the terminal equipment.

[0049] Figure 1 An exemplary system architecture is shown that can be applied to the power regulation method or power regulation device of the energy storage battery in this application.

[0050] like Figure 1 As shown, the system architecture may include: terminal device 101 and server 102. Terminal device 101 and server 102 can communicate via a network, which serves as the medium for providing communication links between the various units. The network may include various types of wired or wireless communication links, such as: wired communication links including fiber optic cables, twisted-pair cables, or coaxial cables; and wireless communication links including Bluetooth communication links, Wi-Fi communication links, or microwave communication links.

[0051] It should be noted that the terminal device 101 and the server 102 can be either hardware or software. When the terminal device 101 and the server 102 are hardware, they can be implemented as a distributed server cluster consisting of multiple servers, or as a single server. When the terminal device 101 and the server 102 are software, they can be implemented as multiple software programs or software modules (e.g., used to provide distributed services), or as a single software program or software module; no specific limitations are made here.

[0052] The terminal device of this application can be equipped with various communication client applications, such as video recording applications, video playback applications, voice interaction applications, search applications, instant messaging tools, email clients, social platform software, etc.

[0053] A terminal device can be either hardware or software. When the terminal device is hardware, it can be various terminal devices with a display screen, including but not limited to smartphones, tablets, laptops, and desktop computers. When the terminal device is software, it can be installed on the terminal devices listed above. It can be implemented as multiple software programs or software modules (e.g., used to provide distributed services) or as a single software program or software module; no specific limitation is made here.

[0054] When the terminal device is hardware, it can also be equipped with a display device and a camera. The display device can be any device capable of displaying information, and the camera is used to capture video streams. Examples of display devices include cathode ray tube displays (CR), light-emitting diode displays (LED), e-ink screens, liquid crystal displays (LCD), and plasma display panels (PDP). Users can use the display device on the terminal device to view displayed text, images, videos, and other information.

[0055] It should be understood that Figure 1 The number of terminal devices, networks, and servers shown is for illustrative purposes only. Depending on implementation needs, there can be any number of terminal devices, networks, and servers.

[0056] The following will be combined with the appendix Figure 2 This application provides a detailed description of the power regulation method for an energy storage battery according to embodiments. The power regulation device for the energy storage battery in these embodiments can be... Figure 1 The terminal device shown.

[0057] Please see Figure 2 This is a flowchart illustrating a power regulation method for an energy storage battery, as provided in an embodiment of this application. Figure 2 As shown, the method described in this application embodiment may include the following steps:

[0058] S201. Monitor the first state parameters of the battery in real time, and construct a multi-dimensional state space reflecting the battery's electrochemical activity decay and thermal runaway risk based on the first state parameters; wherein, the state parameters include thermal diffusion gradient, polarization voltage abrupt change rate and gas release rate;

[0059] It's important to note that the multidimensional state space is a virtual "battery health map," where each dimension represents a parameter: the X-axis is dV / dt, the Y-axis is TDG, and the Z-axis is GRR. The battery's state at any given moment can be determined by the values ​​of these three parameters, corresponding to a specific "coordinate point" on this map. The thermal diffusion gradient accurately describes the speed and direction of heat propagation within the battery or battery pack, rather than just the temperature value at a single point, thus improving the accuracy of battery state monitoring.

[0060] Furthermore, the system uses sensors integrated into the battery module or system to collect real-time data on the battery's thermal diffusion gradient (TDG), polarization voltage change rate (dV / dt), and gas release rate (GRR). For example, TDG can be obtained by calculating the rate of temperature change using multi-point temperature sensors placed at different locations on the battery; dV / dt can be obtained by calculating the voltage differential with respect to time in real time using a high-precision voltage sampling circuit; and GRR can be monitored using a built-in pressure sensor or gas sensor.

[0061] S202. Dynamically determine whether to trigger the power reduction mode based on the multi-dimensional state space;

[0062] It should be noted that the multi-dimensional state space includes a safe state quadrant, a warning quadrant, and a danger quadrant for the battery state; the dynamic determination of whether to trigger a power reduction mode based on the multi-dimensional state space includes: allowing peak power charging and discharging within the safe quadrant; triggering an adaptive gradient power reduction strategy within the warning quadrant; and triggering an emergency protection mechanism within the danger quadrant.

[0063] Furthermore, based on the current TDG, dV / dt, and GRR values ​​calculated in S101, the position of the state point in multidimensional space is determined. If the state point falls into the safety quadrant, it indicates that the battery's internal state is stable and there is no significant risk. The system controls the power converter (PCS) to allow the battery to charge and discharge at the maximum allowable power (i.e., peak power). If the state point falls into the warning quadrant, it indicates that the battery shows signs of potential risk and intervention is required. The system immediately triggers an adaptive gradient power reduction strategy. If the state point falls into the danger quadrant, it indicates that the battery faces serious risks such as impending thermal runaway. The system immediately triggers an emergency protection mechanism, such as forcibly cutting off the charging and discharging circuit and issuing the highest-level alarm.

[0064] S203. When the power reduction mode is triggered, the battery is subjected to a step-by-step power reduction operation until the battery output / input current drops to the load sustaining current.

[0065] In this embodiment, a multi-dimensional state space is constructed based on the thermal diffusion gradient, polarization voltage mutation rate, and gas release rate to accurately map key risks such as the decay of internal electrochemical activity and precursors of thermal runaway. This invention can capture early signals of internal electrochemical anomalies in the battery, enabling risk warning and allowing intervention measures to be taken before problems occur, avoiding the "locking the stable door after the horse has bolted" lag of traditional methods. The constructed multi-dimensional state space and dynamic calibration mechanism enable the power reduction strategy to adaptively adjust with changes in the battery's state of health (SOH) and cycle life, avoiding misjudgments caused by fixed thresholds and achieving more refined power management. While ensuring safety, it maximizes the improvement of charge and discharge capacity and cycle life.

[0066] In some embodiments of the present invention, please refer to Figure 3 The method of triggering an adaptive gradient power reduction strategy within the warning quadrant includes:

[0067] S301. Acquire the second state parameters of the battery in real time, and activate the power reduction mode by using a federated learning algorithm in collaboration based on the second state parameters; wherein, the second state parameters include SOC, SOH, cycle number and temperature parameters;

[0068] S302. Construct a coupled model of voltage safety boundary based on the preset electrochemical activity entropy and polarization voltage mutation rate, and determine the individual cell voltage safety boundary value according to the coupled model.

[0069] In this embodiment, each battery node collects SOC, SOH, cycle count, and temperature parameters in real time through BMS. The raw data is denoised and filtered using an LSTM time-series network. Power reduction is triggered when the weighted decision threshold is met. The weight coefficients are dynamically optimized through federated learning. The loss function is calculated as: false trigger rate + capacity loss rate.

[0070] Furthermore, the electrochemical activity entropy was calculated and the polarization voltage abrupt change rate was extracted to establish the voltage safety boundary equation:

[0071]

[0072] Among them, the coefficients α, β, and γ are dynamically calibrated through ridge regression, and V s Where is the voltage safety boundary value, and E is the electrochemical activity entropy. The polarization voltage abrupt change rate.

[0073] Boundary dynamic adjustment during charging: Where k is the aging coefficient;

[0074] During discharge: Where k is the aging coefficient.

[0075] When V is detected 实时 ≥V s (Charging) or V 实时 ≤V s (When charging) triggers current limiting.

[0076] In some embodiments of the present invention, the stepped power reduction operation includes:

[0077] In the voltage drop power mode, starting from the highest single-cell voltage during charging or the lowest single-cell voltage during discharging breaking through the initial threshold, each trigger will reduce the current power to X times the power of the previous level, where X is the adaptive differential voltage step decay rate.

[0078] The number of power reduction operations is mapped to a nonlinear decay function of SOH. When SOH is greater than a first threshold, the number of first power reduction operations is determined. When SOH is less than a second threshold, the number of second power reduction operations is limited.

[0079] The allowed number of power reduction cycles is dynamically adjusted based on the gradient descent algorithm of the power reduction cycle and the power attenuation rate.

[0080] In this embodiment, under voltage derating mode, the system, based on a dynamic differential voltage threshold (combined with individual cell voltage deviations corrected by SOC and SOH), starts from the point where the highest charging voltage or the lowest discharging voltage of an individual cell exceeds the initial threshold. Each time a differential voltage threshold update is triggered, the current power is precisely reduced to the previous level of power, supporting an unlimited number of step-by-step reductions until the output current drops to the "load sustaining current". The number of power derating cycles is dynamically calculated based on the battery's state of health (SOH) and cycle life: 3 times are allowed for SOH ≥ 90%, 2 times are allowed for 80% ≤ SOH < 90%, and only 1 time is allowed for SOH < 80%. The number of cycles decreases by 1 for every additional 1000 cycles (minimum 1 time), and additional power derating is forcibly triggered when SOC < 10% to avoid the risk of over-discharge, achieving a precise match between the number of cycles and the actual battery health. The base threshold combines the cell's nominal value with health correction (for every 5% decrease in SOH, the charging threshold shrinks by 0.02V), and the voltage difference increases with the SOH decay rate (e.g., when SOH = 80%, the voltage difference = 0.1V × 1.2). Charging starts when the highest cell voltage reaches the threshold, and discharging starts when the lowest cell voltage reaches the threshold. The voltage difference increases with each power reduction. The recovery condition requires SOC > 25% and voltage below the threshold -0.05V, thus achieving voltage-driven stepped power reduction and safe recovery.

[0081] Furthermore, the temperature-based power reduction mode is based on linear temperature gradient control. Using a preset temperature trigger threshold as a benchmark, for every 1°C increase in the cell's maximum temperature, the power decreases to the previous level's power * Y (where Y is the linear temperature rise compensation factor), continuously decreasing until the current drops to the "load sustaining current." Both modes utilize a closed-loop logic of "trigger condition quantification → power step reduction → termination at minimum sustaining current" to avoid the problems of "over-adjustment" (a sudden, large power reduction leading to power interruption) or "under-adjustment" (insufficient power limitation causing safety risks) common in traditional strategies. This achieves precise and controllable power reduction, ensuring safe and stable operation throughout the system's entire lifecycle. Multiple temperature thresholds are set: power reduction to 80% at 45-50°C, power reduction to 50% at 50-55°C (restarting every 10 minutes, ≤3 times / hour), and power reduction to 20% at >55°C with emergency cooling triggered. For aged batteries (SOH < 80%), the temperature threshold is reduced by 5°C, and for high-cycle-count batteries (>8000 cycles), the temperature difference threshold is reduced to 5°C, achieving a gradient power reduction coupled with temperature and health status. Resumption of charging requires the voltage to be below the threshold -0.05V and the SOC to be greater than 25%. Temperature recovery requires the voltage to be below the trigger threshold ΔT (ΔT = 5℃ + 0.5 × SOH). Every 10 charge-discharge cycles, the voltage threshold offset (ΔV = 0.01V × cycle deviation) and temperature coefficient (α = 0.02 × cycle number / 10000) are updated. Parameter adaptive optimization is achieved through online learning to ensure the accuracy of long-term operation strategies.

[0082] In some embodiments of the present invention, please refer to Figure 4 The step-down power reduction operation of the battery also includes dynamic calibration of the power reduction parameters, including:

[0083] S401. Based on the voltage curve of the short-board cell, the inflection point voltage of the sudden change in capacity decay rate is identified by the box plot method.

[0084] S402. Determine a new voltage threshold based on the voltage at the abrupt change inflection point.

[0085] The new voltage threshold is determined using the following formula:

[0086] V_new=V_nominal-k·(V_nominal-V_p);

[0087] Where V_nominal is the nominal voltage, V_p is the identified inflection point voltage, and k is the correction coefficient.

[0088] In this embodiment, the EMS system identifies the voltage "inflection point" (i.e., the point of sudden change in capacity decay rate) at the end of charging and discharging based on the operating parameters of the shortest cell in each battery cluster (i.e., the cell with the lowest state of health (SOH) or the cell with the fastest capacity decay) through a multi-dimensional trend analysis algorithm. The power reduction voltage trigger threshold is then reset to this inflection point. This approach accurately matches the actual usable capacity boundary of the battery, avoiding the risks of "over-discharge" or "under-discharge" caused by traditional fixed thresholds, thereby improving the cycle life utilization rate of the energy storage system (extending it by approximately 15%-20%) and the charging and discharging efficiency (optimizing it by 3%-5%).

[0089] It should be noted that the criteria for determining the short circuit cell are that the state of oxygen (SOH) is less than 75% or the capacity decay rate exceeds 2% per month.

[0090] The following are embodiments of the apparatus described in this application, which can be used to execute the embodiments of the method described in this application. For details not disclosed in the apparatus embodiments of this application, please refer to the embodiments of the method described in this application.

[0091] Please see Figure 5 This illustration shows a schematic diagram of a power regulation device for an energy storage battery provided in an exemplary embodiment of this application, hereinafter referred to as device 5. Device 5 can be implemented as all or part of a terminal device through software, hardware, or a combination of both. Device 5 includes:

[0092] The multidimensional state space construction module 510 is used to monitor the first state parameters of the battery in real time and construct a multidimensional state space reflecting the battery's electrochemical activity decay and thermal runaway risk based on the first state parameters; wherein, the state parameters include thermal diffusion gradient, polarization voltage abrupt change rate and gas release rate.

[0093] The judgment module 520 is used to dynamically determine whether to trigger the power reduction mode based on the multi-dimensional state space;

[0094] The power reduction module 530 is used to perform a stepped power reduction operation on the battery when the power reduction mode is triggered, until the battery output / input current drops to the load sustaining current.

[0095] This application also provides a computer storage medium that can store multiple instructions, which are adapted to be loaded and executed by a processor as described above. Figure 2 The method steps of the illustrated embodiment can be found in the following documentation for detailed execution. Figure 2 The specific details of the illustrated embodiments will not be elaborated here.

[0096] This application also provides a computer program product that stores at least one instruction, which is loaded and executed by the processor to implement the power regulation method for the energy storage battery as described in the above embodiments.

[0097] Please see Figure 6 This document provides a schematic diagram of the structure of a terminal device according to an embodiment of this application. Figure 6 As shown, the terminal device 600 may include: at least one processor 601, at least one network interface 604, user interface 603, memory 605, and at least one communication bus 602.

[0098] The communication bus 602 is used to enable communication between these components.

[0099] The user interface 603 may include a display screen and a camera. Optionally, the user interface 603 may also include a standard wired interface and a wireless interface.

[0100] The network interface 604 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface).

[0101] The processor 601 may include one or more processing cores. The processor 601 connects to various parts within the terminal device 600 using various interfaces and lines, and performs various functions and processes data of the terminal device 600 by running or executing instructions, programs, code sets, or instruction sets stored in the memory 605, and by calling data stored in the memory 605. Optionally, the processor 601 may be implemented using at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). The processor 601 may integrate one or a combination of several of the following: Central Processing Unit (CPU), Graphics Processing Unit (GPU), and modem. The CPU primarily handles the operating system, user interface, and applications; the GPU is responsible for rendering and drawing the content required for display on the screen; and the modem handles wireless communication. It is understood that the modem may also not be integrated into the processor 601 and may be implemented as a separate chip.

[0102] The memory 605 may include random access memory (RAM) or read-only memory. Optionally, the memory 605 may include a non-transitory computer-readable storage medium. The memory 605 can be used to store instructions, programs, code, code sets, or instruction sets. The memory 605 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-described method embodiments, etc.; the data storage area may store data involved in the above-described method embodiments, etc. Optionally, the memory 605 may also be at least one storage device located remotely from the aforementioned processor 601. Figure 6 As shown, the memory 605, which serves as a computer storage medium, may include an operating system, a network communication module, a user interface module, and application programs.

[0103] exist Figure 6 In the terminal device 600 shown, the user interface 603 is mainly used to provide an input interface for the user and to obtain the user's input data; while the processor 601 can be used to call the application program stored in the memory 605 and specifically execute, such as Figure 2 The method shown can be referred to for details. Figure 2 As shown, it will not be elaborated further here.

[0104] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory, or random access memory, etc.

[0105] The above description discloses only preferred embodiments of the present invention and should not be construed as limiting the scope of the present invention. Therefore, equivalent variations made in accordance with the claims of the present invention are still within the scope of the present invention.

Claims

1. A power regulation method for an energy storage battery, characterized in that, include: The battery's first state parameters are monitored in real time, and a multi-dimensional state space reflecting the battery's electrochemical activity decay and thermal runaway risk is constructed based on the first state parameters; wherein, the state parameters include thermal diffusion gradient, polarization voltage abrupt change rate, and gas release rate; The multi-dimensional state space is used to dynamically determine whether to trigger a power reduction mode; When the power reduction mode is triggered, the battery is subjected to a stepped power reduction operation until the battery output / input current drops to the load sustaining current.

2. The power regulation method for an energy storage battery according to claim 1, characterized in that, The multidimensional state space includes a safe state quadrant, a warning quadrant, and a danger quadrant for the battery state. The step of dynamically determining whether to trigger a power reduction mode based on the multi-dimensional state space includes: Peak power charging and discharging is permitted within the safety quadrant. Trigger an adaptive gradient power reduction strategy within the warning quadrant; The emergency protection mechanism is triggered within the danger quadrant.

3. The power regulation method for an energy storage battery according to claim 2, characterized in that, The adaptive gradient power reduction strategy triggered within the warning quadrant includes: The battery's second state parameters are acquired in real time. Based on these parameters, a federated learning algorithm is used to collaboratively decide whether to activate the power reduction mode. The second state parameters include SOC, SOH, cycle count, and temperature. A coupled model of voltage safety boundary is constructed based on the preset electrochemical activity entropy and polarization voltage mutation rate. The voltage safety boundary value of a single cell is determined according to the coupled model.

4. The power regulation method for an energy storage battery according to claim 1, characterized in that, The stepped power reduction operation includes: In the voltage drop power mode, starting from the highest single-cell voltage during charging or the lowest single-cell voltage during discharging breaking through the initial threshold, each trigger will reduce the current power to X times the power of the previous level, where X is the adaptive differential voltage step decay rate. The number of power reduction operations is mapped to a nonlinear decay function of SOH. When SOH is greater than a first threshold, the number of first power reduction operations is determined. When SOH is less than a second threshold, the number of second power reduction operations is limited. The allowed number of power reduction cycles is dynamically adjusted based on the gradient descent algorithm of the power reduction cycle and the power attenuation rate.

5. The power regulation method for an energy storage battery according to claim 1, characterized in that, The stepped power reduction operation also includes: In the temperature-reduced power mode, based on the battery temperature exceeding the preset temperature threshold, for every degree Celsius increase in temperature, the current power is reduced to Y times the power of the previous level, where Y is the linear temperature rise compensation factor. The safe temperature threshold is dynamically calculated based on SOH, number of cycles, rate of temperature change, and direction of heat diffusion; the lower the SOH or the more cycles, the smaller the allowable temperature difference range is automatically.

6. The power regulation method for an energy storage battery according to claim 1, characterized in that, The step-down power reduction operation of the battery also includes dynamic calibration of the power reduction parameters, including: Based on the voltage curve of the short-board cell, the inflection point voltage of the sudden change in capacity decay rate is identified by the box plot method; Determine a new voltage threshold based on the voltage at the abrupt change inflection point; The new voltage threshold is determined using the following formula: V_new=V_nominal-k·(V_nominal-V_p); Where V_nominal is the nominal voltage, V_p is the identified inflection point voltage, and k is the correction coefficient.

7. The power regulation method for an energy storage battery according to claim 6, characterized in that, The criteria for determining the short circuit cell are that the SOH is below the first threshold or the capacity decay rate exceeds the second threshold per month.

8. A power regulation device for an energy storage battery, characterized in that, include: A multi-dimensional state space construction module is used to monitor the first state parameters of the battery in real time and construct a multi-dimensional state space reflecting the battery's electrochemical activity decay and thermal runaway risk based on the first state parameters; wherein, the state parameters include thermal diffusion gradient, polarization voltage abrupt change rate and gas release rate; The judgment module is used to dynamically determine whether to trigger the power reduction mode based on the multi-dimensional state space; The power reduction module is used to perform a stepped power reduction operation on the battery when the power reduction mode is triggered, until the battery output / input current drops to the load sustaining current.

9. An electronic device, characterized in that, include: Processor and memory; The memory stores a computer-readable program that can be executed by the processor; When the processor executes the computer-readable program, it implements the steps in the power regulation method for an energy storage battery as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores one or more programs, which can be executed by one or more processors to implement the steps in the power regulation method for an energy storage battery as described in any one of claims 1-7.

Images