Power control method and system of energy storage charging system

Abstract

The invention discloses a power control method and system for an energy storage charging system, and relates to the technical field of power control, and the method comprises the steps: collecting the voltage, current and temperature data of each single battery in real time, and calculating the charging state of each single battery; calculating the unbalance degree of the charging states according to the average value of the charging states; the imbalance degree is corrected, and the corrected imbalance degree is obtained; setting an unbalanced threshold value of the charging state according to the characteristics and the use environment of the battery pack; and correcting the imbalance threshold value to obtain a corrected imbalance threshold value. According to the invention, the condition of over-charging or over-discharging of the battery is avoided.

Description

Technical Field

[0001] This invention relates to the field of power control technology, and in particular to a power control method and system for an energy storage charging system. Background Technology

[0002] With the widespread development of new energy applications, energy storage systems are increasingly used in electric vehicles, smart grids, and renewable energy generation. The core component of an energy storage system is the battery pack, and its performance directly affects the efficiency and safety of the entire system. A battery pack typically consists of multiple individual cells that need to maintain a balanced state of charge during charging and discharging. In practical applications, each individual cell within the battery pack may exhibit a significant imbalance in its state of charge due to differences in the cell itself, the operating environment, charging strategies, and other factors. This phenomenon can rapidly intensify under certain conditions, leading to a rapid imbalance in the state of charge of individual cells, which seriously affects the stability, charging efficiency, and lifespan of the entire battery pack. If this problem is not addressed promptly, it may result in some cells being overcharged or over-discharged, reducing the overall performance of the battery pack and even causing safety hazards.

[0003] In existing technologies, simple balancing methods, such as equalization charging and constant current / constant voltage charging, are commonly used to address the problem of uneven battery charging states. These methods control the battery's charging state by adjusting the current or voltage during charging. While these techniques can alleviate uneven battery charging states to some extent, they rely on fixed charging patterns and cannot effectively handle dynamic changes during the charging process. Summary of the Invention

[0004] The purpose of this invention is to address the shortcomings of existing technologies that rely on fixed charging modes and cannot effectively handle dynamic changes during the charging process, and to propose a power control method and system for an energy storage charging system.

[0005] To address the problems existing in the prior art, the present invention adopts the following technical solution: A power control method for an energy storage charging system, comprising: S1. Collect the voltage, current and temperature data of each individual battery cell in real time, and calculate the charging status of each individual battery cell. S2. Calculate the degree of imbalance in charging state based on the average charging state. S3. Correct the degree of imbalance to obtain the corrected degree of imbalance; S4. Set the unbalanced charging state threshold according to the characteristics of the battery pack and the usage environment. S5. Correct the imbalance threshold to obtain the corrected imbalance threshold. S6. Based on the comparison results between the degree of imbalance and the imbalance threshold, dynamically adjust the overall input and output power of the battery pack.

[0006] Preferably, the voltage, current, and temperature data of each individual battery cell are collected in real time, including: A voltage sensor, a current sensor, and a temperature sensor are installed on each individual cell. The voltage, current, and temperature of a single battery cell are collected using voltage, current, and temperature sensors, respectively.

[0007] Preferably, calculating the state of charge of a single battery cell includes: Obtain the minimum and maximum voltage of the individual cell; The state of charge (SOC) of a single battery cell is calculated based on voltage and current. The formula for calculating the SOC is as follows: ; In the formula, It is the voltage of a single cell. It is the lowest voltage of a single cell. That is the battery's highest voltage. It is the first The state of charge of each individual battery cell.

[0008] Preferably, the degree of imbalance in the state of charge is calculated based on the mean and standard deviation of the state of charge, including: Calculate the mean of the state of charge, where the formula for calculating the mean is as follows: ; In the formula, It is the first The state of charge of each individual battery cell. It is the total number of batteries in the battery pack. It is the average value of the charging state; The degree of imbalance in the state of charge is calculated based on the average value. The formula for calculating the degree of imbalance is as follows: ; In the formula, It is the degree of imbalance. It is the first The state of charge of each individual battery cell. It is the total number of batteries in the battery pack. It is the average value of the charging state.

[0009] Preferably, the degree of imbalance is corrected to obtain a corrected degree of imbalance, including: A first correction factor is generated based on battery health status and temperature data; The imbalance is corrected using the first correction factor to obtain the corrected imbalance.

[0010] 6. A power control method for an energy storage charging system according to claim 1, characterized in that, based on the characteristics of the battery pack and the usage environment, an imbalance threshold for the charging state is set, including: Obtain information on the battery type, capacity, ambient temperature, and degree of aging of the battery pack; The imbalance threshold for charging status is set based on battery type, capacity, ambient temperature, and degree of aging.

[0011] Preferably, the imbalance threshold is corrected to obtain a corrected imbalance threshold, including: A second correction factor is generated based on battery health status and temperature data; The imbalance threshold is corrected using a second correction coefficient to obtain the corrected imbalance threshold.

[0012] Preferably, based on a comparison between the degree of imbalance and the imbalance threshold, the overall input and output power of the battery pack are dynamically adjusted, including: The degree of imbalance is compared with the imbalance threshold. When the degree of imbalance exceeds the imbalance threshold, the input power and output power of the battery pack are dynamically adjusted.

[0013] To address the above problems, the present invention also provides a power control system for an energy storage charging system, the system comprising: Compared with the prior art, the beneficial effects of the present invention are: 1. This invention effectively solves the problem of rapid charging imbalance in battery packs by precisely monitoring the charging state of each individual cell within the battery pack and dynamically correcting for any imbalances. First, by collecting real-time data on battery voltage, current, and temperature, this solution can accurately calculate the charging state of each cell and evaluate the overall charging state of the battery pack based on this data. When an imbalance is detected within the battery pack, this invention can correct the degree of imbalance and, combined with battery health and temperature, provide a more precise charging strategy. This technology can adjust the charging power in a timely manner, ensuring effective management of the charging state of each individual cell, thereby improving the battery pack's lifespan and charging efficiency.

[0014] 2. This invention ensures the stability and safety of the battery pack during charging by setting and dynamically correcting an imbalance threshold. Based on the battery pack's type, capacity, ambient temperature, and other characteristics, this solution can adjust the imbalance threshold of the charging state in real time, ensuring that the battery pack maintains an optimal charging state under different usage environments and battery aging conditions. This corrected imbalance threshold helps improve the system's adaptability and reduces potential risks caused by inaccurate threshold adjustments in traditional technologies, such as overcharging and over-discharging.

[0015] 3. By dynamically adjusting the overall input and output power of the battery pack and comparing the real-time calculated state-of-charge imbalance with a corrected threshold, fine-grained power management can be achieved. When the state-of-charge imbalance within the battery pack exceeds the set threshold, this invention effectively avoids overcharging or over-discharging by reducing charging power or prioritizing charging batteries with lower states of charge. This improves charging efficiency, extends battery life, and ensures the stability and safety of the system under various operating conditions. This innovative design significantly improves the operating efficiency and economy of the energy storage charging system. Attached Figure Description

[0016] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings: Figure 1 This is a flowchart illustrating a power control method for an energy storage charging system according to an embodiment of the present invention. Figure 2 This is a functional block diagram of a power control system for an energy storage and charging system according to an embodiment of the present invention. Detailed Implementation

[0017] 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.

[0018] Example: This example provides a power control method for an energy storage charging system. See [link to example]. Figure 1 Specifically, including: S1. Collect the voltage, current and temperature data of each individual battery cell in real time, and calculate the charging status of each individual battery cell. In embodiments of the present invention, the voltage, current, and temperature data of each individual battery cell are collected in real time, including: A voltage sensor, a current sensor, and a temperature sensor are installed on each individual cell. The voltage, current, and temperature of a single battery cell are collected using voltage, current, and temperature sensors, respectively.

[0019] Specifically, for each individual battery cell, a voltage sensor, a current sensor, and a temperature sensor that are compatible with the electrical parameters and structural dimensions of that individual battery cell are selected. The detection circuit of the voltage sensor is connected in parallel to the positive and negative terminals of the individual battery cell, the current sensor is connected in series to the main charging and discharging circuit of the individual battery cell, and the sensing end of the temperature sensor is tightly attached to and fixed in the center area of ​​the surface of the individual battery cell. After the installation and deployment of the sensors are completed, the signal acquisition program of each sensor is started. The voltage and current sensors convert the detected voltage and current analog signals into digital signals within a preset range, and the temperature sensor converts the sensed temperature physical quantity into an electrical signal and further into a digital signal. Each sensor transmits the acquired digital signals to the battery management system in real time through a pre-laid signal transmission line, thereby realizing the continuous acquisition of voltage, current, and temperature data of each individual battery cell.

[0020] In embodiments of the present invention, calculating the state of charge of a single battery cell includes: Obtain the minimum and maximum voltage of the individual cell; The state of charge (SOC) of a single battery cell is calculated based on voltage and current. The formula for calculating the SOC is as follows: ; In the formula, It is the voltage of a single cell. It is the lowest voltage of a single cell. That is the battery's highest voltage. It is the first The state of charge of each individual battery cell.

[0021] Specifically, to obtain the minimum and maximum voltages of a single battery cell, first, based on the cell model, consult the technical specifications provided by the battery manufacturer and extract the rated minimum discharge cut-off voltage and rated maximum charge cut-off voltage as initial reference values. Then, before the battery pack is put into use for the first time, a full charge and discharge calibration experiment is conducted: the single battery cell is fully charged to the manufacturer's specified charging cut-off condition at a preset standard charge / discharge rate. After the voltage stabilizes, the single battery cell's terminal voltage at this point is recorded as the maximum voltage. Then, the single battery cell is fully discharged to the manufacturer's specified discharge cut-off condition at the same rate. After the voltage stabilizes, the single battery cell's terminal voltage at this point is recorded as the minimum voltage. If the deviation between the calibrated value and the value recorded in the technical specifications is within a preset allowable range, the calibrated value is adopted; if the deviation exceeds the range, the initial reference value is adjusted based on the deviation magnitude to finally determine the minimum and maximum voltages. When calculating the state of charge (SOC) of a single battery cell, the real-time voltage is affected by the charging and discharging current (during charging, the current generates a forward voltage drop, making the real-time voltage higher than the true open-circuit voltage; during discharging, the current generates a reverse voltage drop, making the real-time voltage lower than the true open-circuit voltage). Therefore, it is necessary to first calculate the voltage drop across the battery's internal resistance based on the battery's equivalent circuit model and the real-time charging and discharging current. The real-time voltage is then corrected according to the charging and discharging direction: during charging, this voltage drop is subtracted from the real-time voltage; during discharging, it is added to the real-time voltage to obtain the equivalent open-circuit voltage. Next, the minimum voltage is subtracted from the equivalent open-circuit voltage, and the difference is divided by the difference between the maximum and minimum voltages. Multiplying this difference by 100% yields the SOC of the single battery cell.

[0022] Specifically, the battery exhibits its designed maximum voltage when fully charged and drops to its designed minimum voltage after complete discharge. During normal charging and discharging, battery voltage and remaining capacity are approximately linearly related: the higher the voltage, the more remaining capacity; the lower the voltage, the less remaining capacity. When calculating the state of charge (SOC), the current battery voltage is subtracted from the minimum voltage to obtain the voltage difference between the current voltage and the empty state, which corresponds to the voltage range of the current remaining capacity. The maximum voltage is subtracted from the minimum voltage to obtain the total voltage range from fully charged to empty, corresponding to the voltage span of the battery's total capacity. The ratio of these two values ​​represents the voltage percentage of the current remaining capacity. Due to the linear relationship between voltage and capacity, this percentage is equivalent to the proportion of remaining capacity to the total capacity. Multiplying this by 100% converts the proportion into a percentage of the SOC, used to quantify the remaining battery capacity. This calculation method, based on the inherent linear mapping between battery voltage and capacity, enables rapid estimation of the SOC.

[0023] S2. Calculate the degree of imbalance in charging state based on the average charging state. In embodiments of the present invention, the degree of imbalance in the state of charge is calculated based on the mean and standard deviation of the state of charge, including: Calculate the mean of the state of charge, where the formula for calculating the mean is as follows: ; In the formula, It is the first The state of charge of each individual battery cell. It is the total number of batteries in the battery pack. It is the average value of the charging state; Specifically, when calculating the mean state of charge (SOC), the SOC of each individual cell in the battery pack is first obtained, and the total number of individual cells in the battery pack is counted and denoted as N. The SOC of the first individual cell, the second individual cell, and so on up to the Nth individual cell are summed to obtain the sum of the SOCs of all individual cells. This sum is divided by the total number of individual cells N, and the result is the mean SOC J of the battery pack. This mean reflects the average level of the overall SOC of the battery pack and provides a basic parameter for subsequent calculations of the degree of SOC imbalance.

[0024] The degree of imbalance in the state of charge is calculated based on the average value. The formula for calculating the degree of imbalance is as follows: ; In the formula, It is the degree of imbalance. It is the first The state of charge of each individual battery cell. It is the total number of batteries in the battery pack. It is the average value of the charging state.

[0025] Specifically, when calculating the degree of imbalance in the state of charge (SOC), the SOC, mean SOC, and total number of cells in the battery pack are first extracted from the steps described above. For each cell, the difference between its SOC and the mean is calculated, and this difference is squared to eliminate its positive or negative attributes and highlight the magnitude of the deviation. Then, the squared results of all cells are summed sequentially to form a total, and this sum is divided by the total number of cells to obtain the average of the squared differences. Finally, the square root of the average of the squared differences is taken, and the result is the degree of SOC imbalance. This value quantifies the discrete differences in the SOC of each cell within the battery pack; a larger value indicates a more pronounced deviation in the SOC between cells, providing a basis for determining the subsequent power adjustment strategy.

[0026] S3. Correct the degree of imbalance to obtain the corrected degree of imbalance; In an embodiment of the present invention, the degree of imbalance is corrected to obtain a corrected degree of imbalance, including: A first correction factor is generated based on battery health status and temperature data; The imbalance is corrected using the first correction factor to obtain the corrected imbalance.

[0027] Specifically, when correcting for imbalance, the health status data and real-time temperature data of each individual cell in the battery pack are first collected. Battery health status is calculated using a capacity decay model by monitoring the number of cycles, charge / discharge capacity decay, and internal resistance changes of each cell; the ratio of the current usable capacity to the initial rated capacity is the cell's health status value. Temperature data is acquired in real-time by the temperature sensors deployed earlier. Based on the battery temperature characteristic curve and the correlation between health status and imbalance characteristics, a correction model is constructed: health status values ​​are mapped to health correction factors, and temperature values ​​are converted into temperature correction factors according to a preset temperature-correction weight curve. These two factors are then combined through weighted calculations to generate a first correction coefficient suitable for the current battery pack. Finally, the original imbalance calculated earlier is multiplied by the first correction coefficient to obtain the corrected imbalance level. This compensates for deviations in imbalance judgment caused by battery aging and temperature fluctuations, making the quantitative results more consistent with actual operating conditions.

[0028] S4. Set the unbalanced charging state threshold according to the characteristics of the battery pack and the usage environment. In embodiments of the present invention, an imbalance threshold for the charging state is set based on the characteristics of the battery pack and the usage environment, including: Obtain information on the battery type, capacity, ambient temperature, and degree of aging of the battery pack; Specifically, when setting the unbalanced charging state threshold, the following parameters of the battery pack are first obtained: For battery type, the battery pack's nameplate markings or records in the production management system are read to identify the battery chemical system category; for capacity, a full charge and discharge calibration process is performed on the battery pack, charging it to the rated voltage at a preset standard charge and discharge rate, and then continuously discharging it to the cutoff voltage, recording the amount of charge collected by the battery management system during the discharge process as the actual capacity of the battery pack; for ambient temperature, multiple sets of temperature data are collected simultaneously by temperature sensors deployed at different locations on and inside the battery pack, and the average value of all data is calculated as the characterization value of the ambient temperature; for aging degree, the number of charge and discharge cycles of the battery pack is counted, and combined with the decay ratio of the actual capacity calibrated above to the initial rated capacity, as well as the real-time monitoring of the battery internal resistance change rate, a weighted calculation is performed according to the weight allocation rules of the number of cycles, capacity decay, and internal resistance change determined through experiments in advance to obtain a quantitative value of aging degree.

[0029] The imbalance threshold for charging status is set based on battery type, capacity, ambient temperature, and degree of aging.

[0030] Subsequently, based on the battery type, actual capacity, average ambient temperature, and quantified aging degree obtained above, a multi-parameter mapping model is constructed. Extensive pre-conducted experiments simulate the charging and discharging processes of different battery types under varying capacities, temperatures, and aging conditions. The model tests the critical value of imbalance when the battery pack experiences significant performance degradation or safety risks. Through data fitting, correlation curves or mathematical relationships between each parameter and the imbalance threshold are established. In lithium-ion battery systems, the larger the actual capacity of the battery pack, the more stringent the threshold setting. When the ambient temperature deviates from normal temperature, the threshold needs to be lowered under both high-temperature and low-temperature conditions. The higher the quantified aging degree, the lower the threshold should be. The four parameters of the current battery pack are input into this model, and the appropriate charging state imbalance threshold is calculated, serving as the core basis for subsequently determining whether to activate the power adjustment strategy.

[0031] S5. Correct the imbalance threshold to obtain the corrected imbalance threshold. In an embodiment of the present invention, the imbalance threshold is corrected to obtain a corrected imbalance threshold, including: A second correction factor is generated based on battery health status and temperature data; Specifically, when correcting the imbalance threshold, the health status data and real-time temperature data of each individual cell in the battery pack are first collected. Battery health status is determined by statistically analyzing the number of charge-discharge cycles of individual cells, combining the actual usable capacity obtained from full charge-discharge calibration with the decay ratio of the initial rated capacity, and the rate of change of the battery's internal resistance relative to the initial internal resistance. Weighted calculations are performed according to preset weighting rules for cycle count, capacity decay, and internal resistance change to generate a quantitative value for the health status of each individual cell. The overall health status of the battery pack is then averaged across all individual cell values. Temperature data is collected in real-time by temperature sensors deployed at key locations within the battery pack, and the average of multiple temperature data sets is calculated as the ambient temperature characterization value. Based on the influence of battery health status and temperature on the imbalance threshold, a correction coefficient model is constructed. Charge-discharge experiments are conducted under different health states and temperature conditions to test the change in the imbalance threshold of the battery pack within the safety and performance boundaries. Data fitting is used to establish the correlation between the quantitative health status value, the ambient temperature characterization value, and the correction coefficient. The lower the quantified health status value, the smaller the correction coefficient; when the ambient temperature deviates from the battery's optimal operating temperature range, the correction coefficient decreases simultaneously under high or low temperature conditions. The model is input with the real-time acquired overall battery pack health status and ambient temperature characterization values ​​to generate a second correction coefficient.

[0032] The imbalance threshold is corrected using a second correction coefficient to obtain the corrected imbalance threshold.

[0033] Specifically, the initial imbalance threshold is multiplied by the second correction coefficient to obtain the corrected imbalance threshold, which enables the threshold to dynamically adapt to changes in battery health and temperature, thereby improving the accuracy of imbalance judgment and system safety.

[0034] S6. Based on the comparison results between the degree of imbalance and the imbalance threshold, dynamically adjust the overall input and output power of the battery pack.

[0035] In embodiments of the present invention, the overall input and output power of the battery pack are dynamically adjusted based on a comparison between the degree of imbalance and the imbalance threshold, including: The degree of imbalance is compared with the imbalance threshold. When the degree of imbalance exceeds the imbalance threshold, the input power and output power of the battery pack are dynamically adjusted.

[0036] Specifically, during dynamic power adjustment, the corrected imbalance degree and the corrected imbalance threshold obtained in the previous steps are first extracted and compared numerically. If the imbalance degree is less than or equal to the imbalance threshold, the battery pack's charge and discharge state balance is determined to meet the operating requirements, and the current battery pack input and output power distribution mode is maintained; if the imbalance degree is greater than the imbalance threshold, the balance is determined to exceed the allowable range, and the power adjustment process is immediately initiated.

[0037] Specifically, for input power adjustment, the upper limit of charging power is first obtained based on the power supply capacity and the rated power of the charging equipment, while simultaneously retrieving the charging status data of each individual battery cell. Based on the principle that higher power is allocated to cells with lower charging status, a power allocation model is constructed. The difference between the charging status of each individual battery cell and the average value is calculated; the larger the difference, the lower the charging status, and the higher the proportion of charging power allocated, ensuring priority charging for cells with low charge levels. The allocated power of each cell is accumulated. If the sum exceeds the upper limit of charging power, the allocated power of each cell is reduced proportionally to match the upper limit. A new charging power command is then generated and sent to the charging control module for execution.

[0038] Specifically, for output power adjustment, the upper limit of discharge power, which is limited by the load demand and battery discharge capacity, is first obtained, and the charging status data of each individual battery is also retrieved. Following the rule that higher charging status corresponds to higher power allocation, this avoids excessive discharge of high-charge cells that exacerbates imbalance. The discharge power ratio of each cell is calculated, with higher charging status resulting in a higher ratio. The allocated power of each cell is accumulated. If the sum exceeds the upper limit of discharge power, the allocated power of each cell is reduced proportionally to match the upper limit. A new discharge power command is then generated and sent to the discharge control module for execution. During power adjustment, the dynamic changes in the charging status of each individual battery and the degree of imbalance after correction are continuously monitored. If the degree of imbalance falls back within the threshold after adjustment, the power allocation strategy is gradually reverted, reducing the intervention in charging and discharging power until it returns to the normal power mode under balanced conditions. This ensures that the battery pack maintains good balance during charging and discharging, guaranteeing system operating efficiency and battery life.

[0039] like Figure 2 The diagram shown is a functional block diagram of a power control system for an energy storage and charging system according to an embodiment of the present invention.

[0040] In this embodiment, the functions of each module / unit are as follows: The state of charge calculation module is used to collect the voltage, current and temperature data of each individual battery cell in real time and calculate the state of charge of each individual battery cell. The imbalance calculation module is used to calculate the degree of imbalance in the charging state based on the average value of the charging state. The imbalance correction module is used to correct the imbalance level and obtain the corrected imbalance level. The imbalance threshold setting module is used to set the imbalance threshold of the charging state according to the characteristics of the battery pack and the usage environment. The imbalance threshold correction module is used to correct the imbalance threshold and obtain the corrected imbalance threshold. The power dynamic adjustment module is used to dynamically adjust the overall input and output power of the battery pack based on the comparison between the degree of imbalance and the imbalance threshold.

[0041] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A power control method for an energy storage charging system, characterized in that, Includes the following steps: S1. Collect the voltage, current and temperature data of each individual battery cell in real time, and calculate the charging status of each individual battery cell. S2. Calculate the degree of imbalance in charging state based on the average charging state. S3. Correct the degree of imbalance to obtain the corrected degree of imbalance; S4. Set the unbalanced charging state threshold according to the characteristics of the battery pack and the usage environment. S5. Correct the imbalance threshold to obtain the corrected imbalance threshold. S6. Based on the comparison results between the degree of imbalance and the imbalance threshold, dynamically adjust the overall input and output power of the battery pack.

2. The power control method for an energy storage charging system according to claim 1, characterized in that, Real-time acquisition of voltage, current, and temperature data for each individual cell, including: A voltage sensor, a current sensor, and a temperature sensor are installed on each individual cell. The voltage, current, and temperature of a single battery cell are collected using voltage sensors, current sensors, and temperature sensors, respectively.

3. The power control method for an energy storage charging system according to claim 1, characterized in that, Calculating the state of charge of a single battery cell includes: Obtain the minimum and maximum voltage of the individual cell; The state of charge of a single battery cell is calculated based on voltage and current.

4. The power control method for an energy storage charging system according to claim 1, characterized in that, The degree of imbalance in the state of charge is calculated based on the mean and standard deviation of the state of charge, including: Calculate the average state of charge; The degree of imbalance in the state of charge is calculated based on the average value.

5. The power control method for an energy storage charging system according to claim 1, characterized in that, The degree of imbalance is corrected to obtain the corrected degree of imbalance, including: A first correction factor is generated based on battery health status and temperature data; The imbalance is corrected using the first correction factor to obtain the corrected imbalance.

6. The power control method for an energy storage charging system according to claim 1, characterized in that, Based on the characteristics of the battery pack and the usage environment, set an imbalance threshold for the state of charge, including: Obtain information on the battery type, capacity, ambient temperature, and degree of aging of the battery pack; The unbalanced charging state threshold is set based on battery type, capacity, ambient temperature, and degree of aging.

7. The power control method for an energy storage charging system according to claim 1, characterized in that, The imbalance threshold is corrected to obtain the corrected imbalance threshold, including: A second correction factor is generated based on battery health status and temperature data; The imbalance threshold is corrected using a second correction factor to obtain the corrected imbalance threshold.

8. The power control method for an energy storage charging system according to claim 1, characterized in that, Based on the comparison between the degree of imbalance and the imbalance threshold, the overall input and output power of the battery pack are dynamically adjusted, including: The degree of imbalance is compared with the imbalance threshold. When the degree of imbalance exceeds the imbalance threshold, the input power and output power of the battery pack are dynamically adjusted.

9. A power control system for an energy storage charging system, characterized in that, The system includes: The state of charge calculation module is used to collect the voltage, current and temperature data of each individual battery cell in real time and calculate the state of charge of each individual battery cell. The imbalance calculation module is used to calculate the degree of imbalance in the charging state based on the average value of the charging state. The imbalance correction module is used to correct the imbalance level and obtain the corrected imbalance level. The imbalance threshold setting module is used to set the imbalance threshold of the charging state according to the characteristics of the battery pack and the usage environment. The imbalance threshold correction module is used to correct the imbalance threshold and obtain the corrected imbalance threshold. The power dynamic adjustment module is used to dynamically adjust the overall input and output power of the battery pack based on the comparison between the degree of imbalance and the imbalance threshold.

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