Energy storage system, control method, apparatus, and medium

Abstract

This invention discloses an energy storage system, a control method, an apparatus, and a medium. The energy storage system includes multiple battery clusters. The control method includes: acquiring the remaining battery capacity, battery lifespan, and battery cluster voltage of each battery cluster; for each battery cluster, obtaining a capacity coefficient based on the remaining battery capacity and battery lifespan; and adjusting the battery power of each battery cluster in a balanced manner based on the capacity coefficients and the voltage of each battery cluster. This invention can accurately identify and balance the differences between battery clusters to reduce the difference in usable battery capacity between each battery cluster, thereby improving the overall usable capacity of the energy storage system.

Description

Technical Field

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

[0002] An energy storage system consists of multiple battery clusters connected in parallel, while a single battery cluster consists of multiple energy storage batteries connected in series. There may be differences in parameters such as temperature, capacity, impedance, and self-discharge rate between energy storage batteries, which makes the remaining capacity of the energy storage batteries unbalanced. This results in differences in the usable capacity of the batteries in each battery cluster. Mixing battery clusters with different usable capacities will reduce the overall usable capacity of the energy storage system. Summary of the Invention

[0003] This invention provides an energy storage system, control method, device, and medium that can accurately identify differences between battery clusters and perform equalization adjustments to reduce the differences in available battery capacity between individual battery clusters, thereby improving the overall available capacity of the energy storage system.

[0004] In a first aspect, embodiments of the present invention provide a control method for an energy storage system, the energy storage system comprising multiple battery clusters; The control method includes: Obtain the remaining battery capacity, battery lifespan, and battery cluster voltage for each of the battery clusters; For each of the battery clusters, a capacity coefficient is obtained based on the remaining capacity of the battery and the battery lifespan. The battery power of each battery cluster is balanced and adjusted according to the respective capacity coefficients and the respective battery cluster voltages.

[0005] The control method for an energy storage system according to a first aspect of the present invention has at least the following beneficial effects: Mixing battery clusters with different available capacities leads to a reduction in the overall available capacity of the energy storage system. This necessitates balancing the capacity of each battery cluster based on their differences. By comparing the remaining capacity and voltage of each battery cluster, the differences between them can be effectively identified. Furthermore, as the number of charge-discharge cycles increases, the lifespan of each battery cluster decreases, resulting in the obtained remaining capacity not being the actual capacity of the cluster. Therefore, by acquiring the remaining capacity, lifespan, and voltage of each battery cluster, and then determining the actual capacity (capacity coefficient) of the cluster based on these values, and then balancing the power of each cluster based on its capacity coefficient and voltage, the differences between battery clusters can be accurately identified, allowing for balanced adjustments to reduce the differences in available capacity and thereby improve the overall available capacity of the energy storage system.

[0006] In the control method of the energy storage system provided in the embodiments of the present invention, the step of balancing the battery power of each battery cluster according to each capacity coefficient and each battery cluster voltage includes: When the capacity coefficient meets the first preset condition, the average of all the capacity coefficients is calculated to obtain the average coefficient. The equilibrium coefficient of each battery cluster is determined based on the average coefficient and each of the capacity coefficients. The battery power of the battery cluster is balanced and adjusted according to the balance coefficient and the operating power of the energy storage system.

[0007] In the control method of the energy storage system provided in this embodiment of the invention, the step of adjusting the battery power of the battery cluster according to the balance coefficient and the operating power of the energy storage system includes: The average power of each battery cluster is determined based on the operating power of the energy storage system and the number of battery clusters. The target power of the battery cluster is determined based on the average power and the equalization coefficient. The battery power of the battery cluster is balanced and adjusted according to the target power.

[0008] In the control method of the energy storage system provided in the embodiments of the present invention, the step of balancing and adjusting each battery cluster according to each capacity coefficient and each battery cluster voltage further includes: When the capacity coefficient does not meet the first preset condition and the voltage range of all battery clusters is greater than the preset voltage threshold, the average power of each battery cluster is determined according to the working power of the energy storage system and the number of battery clusters. The battery power of the battery cluster is balanced and adjusted based on the average power.

[0009] In the control method of the energy storage system provided in the embodiments of the present invention, the first preset condition is: the range of all the capacity coefficients is greater than the preset parameter threshold.

[0010] In the control method of the energy storage system provided in the embodiments of the present invention, obtaining the remaining battery capacity, battery lifespan, and battery cluster voltage of each battery cluster includes: When the charging or discharging time of the energy storage system reaches a first time threshold, the battery power of each battery cluster is adjusted on average. When the charging or discharging time of the energy storage system after the average adjustment of battery power reaches the second time threshold, the remaining battery capacity, battery life and battery cluster voltage of each battery cluster are obtained.

[0011] In the control method of the energy storage system provided in the embodiments of the present invention, the step of obtaining a capacity coefficient for each battery cluster based on the remaining capacity of the battery and the battery life includes: When the energy storage system is in the charging state, for each battery cluster, the amount of battery to be charged is obtained based on the total battery capacity of the battery cluster and the remaining battery capacity. The capacity coefficient is obtained by multiplying the battery's charge capacity and its lifespan.

[0012] In the control method of the energy storage system provided in the embodiments of the present invention, the battery cluster includes multiple energy storage batteries, and the control method further includes: Obtain the first voltage value of each of the battery clusters, wherein the first voltage value is the maximum voltage value among all the battery voltages of the energy storage batteries in the battery cluster; When the maximum voltage value among all the battery cluster voltages reaches the first target voltage and the range of all the first voltage values ​​is greater than the first target difference, the battery power of the battery cluster corresponding to the maximum voltage value among all the first voltage values ​​is adjusted by reducing the power.

[0013] In the control method of the energy storage system provided in the embodiments of the present invention, the step of obtaining a capacity coefficient for each battery cluster based on the remaining capacity of the battery and the battery life includes: When the energy storage system is in a discharge state, for each battery cluster, the remaining capacity of the battery and the battery lifespan are multiplied to obtain the capacity coefficient.

[0014] In the control method of the energy storage system provided in the embodiments of the present invention, the battery cluster includes multiple energy storage batteries, and the control method further includes: Obtain the second voltage value of each of the battery clusters, wherein the second voltage value is the minimum voltage value among all the energy storage batteries in the battery cluster; When the minimum voltage value of all the battery clusters reaches the second target voltage and the range of all the second voltage values ​​is greater than the first target difference, the battery power of the battery cluster corresponding to the minimum voltage value among all the second voltage values ​​is adjusted by increasing the power.

[0015] In a second aspect, embodiments of the present invention provide an operation control device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the control method as described in the first aspect.

[0016] The operation control device provided by the embodiments of the present invention has at least the following beneficial effects: Mixing battery clusters with different available capacities will reduce the overall available capacity of the energy storage system, requiring balanced adjustment of the capacity of each battery cluster based on the differences between them. By comparing the remaining capacity and voltage of each battery cluster, the differences between them can be effectively identified. Furthermore, as the number of charge-discharge cycles increases, the lifespan of each battery cluster decreases, resulting in the obtained remaining capacity not being the actual capacity of the cluster. Therefore, by acquiring the remaining capacity, lifespan, and voltage of each battery cluster, and then determining the actual capacity (capacity coefficient) of the cluster based on the remaining capacity and lifespan, and then balancing the power of each battery cluster based on the capacity coefficients and voltages, the differences between battery clusters can be accurately identified, and the clusters can be balanced to reduce the differences in available capacity, thereby improving the overall available capacity of the energy storage system.

[0017] Thirdly, embodiments of the present invention provide an energy storage system, including the operation control device provided in the second aspect of the embodiments above.

[0018] The energy storage system provided by the embodiments of the present invention has at least the following beneficial effects: Mixing battery clusters with different available capacities leads to a reduction in the overall available capacity of the energy storage system. This necessitates balancing the capacity of each battery cluster based on their differences. By comparing the remaining capacity and voltage of each battery cluster, the differences between them can be effectively identified. Furthermore, as the number of charge-discharge cycles increases, the lifespan of each battery cluster decreases, resulting in the obtained remaining capacity not being the actual capacity of the cluster. Therefore, by acquiring the remaining capacity, lifespan, and voltage of each battery cluster, and then determining the actual capacity (capacity coefficient) of the cluster based on these values, and then balancing the power of each cluster based on its capacity coefficient and voltage, the differences between battery clusters can be accurately identified, allowing for balanced adjustments to reduce the differences in available capacity and thereby improve the overall available capacity of the energy storage system.

[0019] Fourthly, embodiments of the present invention also provide a computer-readable storage medium storing computer-executable instructions for causing a computer to perform the control method described in the first aspect of the embodiments above.

[0020] The computer-readable storage medium provided according to embodiments of the present invention has at least the following effects: Mixing battery clusters with different available capacities leads to a reduction in the overall available capacity of the energy storage system. This necessitates balancing the capacity of each battery cluster based on their differences. By comparing the remaining capacity and voltage of each battery cluster, the differences can be effectively identified. Furthermore, as the number of charge-discharge cycles increases, the lifespan of each battery cluster decreases, resulting in the obtained remaining capacity not being the actual capacity of the cluster. Therefore, by acquiring the remaining capacity, lifespan, and voltage of each battery cluster, and then determining the actual capacity (capacity coefficient) of the cluster based on these values, and then balancing the power of each cluster based on these capacity coefficients and voltages, the differences between battery clusters can be accurately identified, allowing for balanced adjustments to reduce the differences in available capacity and thereby improve the overall available capacity of the energy storage system.

[0021] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the description, claims, and drawings. Attached Figure Description

[0022] The accompanying drawings are provided to further understand the technical solutions of the present invention and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the technical solutions of the present invention, and do not constitute a limitation on the technical solutions of the present invention.

[0023] Figure 1 A flowchart of a control method for an energy storage system provided in an embodiment of the present invention; Figure 2 for Figure 1 The detailed flowchart of step S300; Figure 3 for Figure 2 The detailed flowchart of step S330; Figure 4 for Figure 1 A detailed flowchart of another embodiment of step S300; Figure 5 for Figure 1 Detailed flowchart of step S100; Figure 6 A flowchart of a control method for an energy storage system provided in another embodiment of the present invention; Figure 7 A flowchart of a control method for an energy storage system provided in another embodiment of the present invention; Figure 8 An embodiment of the present invention provides an operation control device. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0025] It is understandable that although functional modules are divided in the device schematic diagram and a logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than the module division in the device or the order in the flowchart. The terms "first," "second," etc., in the specification, claims, or the aforementioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence.

[0026] An energy storage system consists of multiple battery clusters connected in parallel, while a single battery cluster consists of multiple energy storage batteries connected in series. There may be differences in parameters such as temperature, capacity, impedance, and self-discharge rate between energy storage batteries, which makes the remaining capacity of the energy storage batteries unbalanced. This results in differences in the usable capacity of the batteries in each battery cluster. Mixing battery clusters with different usable capacities will reduce the overall usable capacity of the energy storage system.

[0027] Based on this, the present invention provides an energy storage system, control method, device, and medium. Mixing battery clusters with different available capacities reduces the overall available capacity of the energy storage system. Therefore, it is necessary to balance the capacity of each battery cluster based on their differences. This difference can be effectively identified by comparing the remaining capacity and voltage of each battery cluster. Furthermore, as the number of charge-discharge cycles increases, the lifespan of a battery cluster decreases, resulting in the obtained remaining capacity not being the actual capacity of the cluster. Therefore, by acquiring the remaining capacity, lifespan, and voltage of each battery cluster, and then determining the actual capacity (capacity coefficient) of the cluster based on these values, and then balancing the power of each cluster based on the capacity coefficient and voltage, the differences between battery clusters can be accurately identified, allowing for balanced adjustments to reduce the disparity in available capacity and thus improve the overall available capacity of the energy storage system.

[0028] The embodiments of the present invention will be further described below with reference to the accompanying drawings.

[0029] Firstly, referring to Figure 1 , Figure 1This is a flowchart of a control method for an energy storage system provided in an embodiment of the present invention. The control method includes, but is not limited to, the following steps: Step S100: Obtain the remaining battery capacity, battery lifespan, and battery cluster voltage for each battery cluster. Step S200: For each battery cluster, obtain the capacity coefficient based on the remaining battery capacity and battery lifespan; Step S300: Adjust the battery power of each battery cluster in a balanced manner according to each capacity coefficient and each battery cluster voltage.

[0030] It is understandable that energy storage systems consist of multiple battery clusters connected in parallel, while a single battery cluster consists of multiple energy storage cells connected in series. Differences in parameters such as temperature, capacity, impedance, and self-discharge rate may exist between energy storage cells, leading to an imbalance in their remaining capacity. This results in differences in the usable capacity of each battery cluster, and mixing battery clusters with different usable capacities reduces the overall usable capacity of the energy storage system. Furthermore, if there are significant capacity differences between battery clusters, during charging, clusters with higher remaining capacity will complete charging first, leading to overcharging in these clusters. Similarly, during discharging, clusters with lower remaining capacity will complete discharging first, leading to over-discharging in these clusters. Therefore, it is necessary to adjust the battery power of each battery cluster based on their capacity differences to ensure that all clusters can be fully charged or fully discharged simultaneously. Comparing the remaining capacity and voltage of each battery cluster can effectively identify the differences between them. Furthermore, as the number of charge-discharge cycles of a battery cluster increases, its lifespan decreases, resulting in the obtained remaining battery capacity not being the actual battery capacity of the cluster. Therefore, a balanced adjustment can be made to obtain the remaining battery capacity, lifespan, and voltage of each battery cluster. Then, based on the remaining battery capacity and lifespan, the actual battery capacity of the cluster (i.e., the capacity coefficient) can be determined. Finally, based on the capacity coefficients and voltages of each cluster, the battery power of each cluster can be adjusted to accurately identify differences between clusters, thereby reducing the disparity in usable battery capacity and ultimately improving the overall usable capacity of the energy storage system.

[0031] It's important to note that during charging, for each battery cluster, the amount of charge to be applied can be determined based on the cluster's total capacity and remaining capacity. Then, the capacity factor is calculated by multiplying this amount by the battery's lifespan. This capacity factor represents the actual amount of charge to be applied to the battery cluster. For example, if the actual amount of charge to be applied is 20%, it means the cluster only needs another 20% charge to be fully charged. Therefore, the difference in the amount of charge to be applied among the battery clusters can be determined based on the capacity factor. The charging power allocated to clusters with higher capacity factors can then be increased accordingly, while the charging power allocated to clusters with lower capacity factors can be decreased. This allows all battery clusters to complete charging simultaneously, thereby reducing the capacity difference between the clusters.

[0032] It should be noted that during the discharge process, for each battery cluster, the remaining battery capacity and battery lifespan can be multiplied to obtain the capacity coefficient. In other words, during discharge, the capacity coefficient represents the actual discharge capacity of the battery cluster. For example, if the actual discharge capacity is 20%, it means that the battery cluster only needs to output another 20% of its capacity to complete the discharge. Therefore, the difference in remaining battery capacity among the various battery clusters can be determined based on the capacity coefficient. Then, the discharge power allocated to battery clusters with lower capacity coefficients can be reduced accordingly, while the discharge power allocated to battery clusters with higher capacity coefficients can be increased. This allows all battery clusters to complete the discharge simultaneously, thereby reducing the capacity difference between the various battery clusters.

[0033] Furthermore, when battery clusters are charged to a higher capacity, the voltage difference is significant, and the energy transfer efficiency is high. Therefore, during charging, when the voltage of each battery cluster reaches a preset threshold, the charging power allocated to each battery cluster can be adjusted based on the voltage difference between the clusters. Similarly, when battery clusters are discharged to a lower capacity, the voltage difference is significant, and the energy transfer efficiency is high. Therefore, during discharging, when the voltage of each battery cluster reaches a preset threshold, the charging power allocated to each battery cluster can be adjusted based on the voltage difference between the clusters.

[0034] Reference Figure 2 , Figure 2 for Figure 1 The detailed flowchart of step S300 includes, but is not limited to, the following steps: Step S310: When the capacity coefficient meets the first preset condition, the average coefficient of all capacity coefficients is calculated to obtain the average coefficient. Step S320: Determine the balance coefficient of each battery cluster based on the average coefficient and each capacity coefficient. Step S330: Adjust the battery power of the battery cluster according to the balance coefficient and the working power of the energy storage system.

[0035] Understandably, during charging, if the battery capacity of different battery clusters differs significantly, the high-capacity clusters will overcharge; similarly, during discharging, if the battery capacity of different battery clusters differs significantly, the low-capacity clusters will over-discharge. The capacity coefficient, calculated from the remaining battery capacity and battery lifespan, reflects the actual battery capacity of a battery cluster. During charging, if the capacity coefficient meets a first preset condition, it can be assumed that there is a significant difference in the battery clusters, requiring adjustment of the charging power of each cluster to balance their remaining capacity. During discharging, if the capacity coefficient meets the first preset condition, it can be assumed that there is a significant difference in the battery clusters, requiring adjustment of the discharging power of each cluster to balance their remaining capacity. Specifically, during charging, the battery power of a battery cluster represents its charging power; during discharging, the battery power of a battery cluster represents its discharging power. Therefore, when the capacity coefficients meet the first preset condition, all capacity coefficients are averaged. The average coefficient obtained from this calculation quantifies the overall capacity level of the energy storage system. Then, by comparing the average coefficient with each individual capacity coefficient, the difference between the actual battery capacity of each battery cluster and the overall capacity level of the energy storage system can be obtained. Based on this difference, the balance coefficient of each battery cluster is determined. The balance coefficient represents the difference between the actual battery capacity of the battery cluster and the overall capacity level of the energy storage system. Since the operating power of the energy storage system is fixed, the total battery power of each battery cluster is equal. Therefore, based on the balance coefficient and the operating power of the energy storage system, the battery power of each battery cluster can be redistributed to adjust the charging and discharging current of each battery cluster.

[0036] Specifically, during the charging process, the greater the capacity coefficient of a battery cluster is higher than the average coefficient, the greater the actual amount of battery charge to be generated and the longer the charging time required. Conversely, the greater the capacity coefficient of a battery cluster is lower than the average coefficient, the smaller the actual amount of battery charge to be generated and the shorter the charging time required. Therefore, the balance coefficient can be the difference between the capacity coefficient and the average coefficient. The larger the difference, the greater the actual amount of battery charge to be generated, and the smaller the difference, the smaller the actual amount of battery charge to be generated. In the process of balancing the battery power of a battery cluster based on the balancing coefficient and the operating power of the energy storage system, the increase or decrease in battery power can be adjusted according to the magnitude of the balancing coefficient. For example, when the balancing coefficient is positive, the battery power of the battery cluster can be increased; the larger the balancing coefficient, the greater the increase in battery power. When the balancing coefficient is negative, the battery power of the battery cluster can be decreased; the smaller the balancing coefficient, the greater the decrease in battery power. This means reducing the charging current of battery clusters with lower actual battery capacity and increasing the charging current of battery clusters with higher actual battery capacity, so that the remaining battery capacity of each battery cluster tends to be more even. Furthermore, the sum of the adjusted battery power of each battery cluster equals the operating power of the energy storage system. During the charging process, the battery power of the battery cluster is the charging power, and the operating power of the energy storage system is the total charging power of the energy storage system.

[0037] Specifically, during discharge, the greater the capacity coefficient of a battery cluster is higher than the average coefficient, the higher the actual amount of energy to be discharged, and the longer the required discharge time. Conversely, the greater the capacity coefficient is lower than the average coefficient, the lower the actual amount of energy to be discharged, and the shorter the required discharge time. Therefore, in the process of balancing the battery power of a battery cluster based on the balancing coefficient and the operating power of the energy storage system, the increase or decrease in battery power can be adjusted according to the magnitude of the balancing coefficient. For example, when the balancing coefficient is positive, the battery power of the battery cluster can be increased; the larger the balancing coefficient, the greater the increase in battery power. When the balancing coefficient is negative, the battery power of the battery cluster can be decreased; the smaller the balancing coefficient, the greater the decrease in battery power. This means increasing the discharge current of battery clusters with higher actual amounts of energy to be discharged and decreasing the discharge current of battery clusters with lower actual amounts of energy to be discharged, so that the remaining capacity of each battery cluster tends to be more even. Furthermore, the sum of the adjusted battery power of each battery cluster equals the operating power of the energy storage system. During discharge, the battery power of the battery cluster is the discharge power, and the operating power of the energy storage system is the total discharge power of the energy storage system.

[0038] It should be noted that the first preset condition can be that the range of all capacity coefficients is greater than the preset parameter threshold. The range of capacity coefficients is the difference in battery capacity between the battery cluster with the largest battery capacity and the battery cluster with the smallest battery capacity. If the range of all capacity coefficients is greater than the preset parameter threshold, it can be considered that there is a situation where the battery capacity difference of the battery clusters is too large.

[0039] Reference Figure 3 , Figure 3 for Figure 2 The detailed flowchart of step S330 includes, but is not limited to, the following steps: Step S331: Determine the average power of each battery cluster based on the operating power of the energy storage system and the number of battery clusters; Step S332: Determine the target power of the battery cluster based on the average power and the equalization coefficient; Step S333: Adjust the battery power of the battery cluster according to the target power.

[0040] Understandably, to avoid the adjusted battery clusters having excessively high or low power, the operating power of the energy storage system and the number of battery clusters can be averaged to obtain the average power of each cluster. During charging, the operating power of the energy storage system is the total charging power of the system, and the average power is the average charging power of each battery cluster; the average charging power is the same for all clusters. During discharging, the operating power of the energy storage system is the total discharging power of the system, and the average discharging power is the average discharging power of each cluster; the average discharging power is the same for all clusters. After calculating the average power, the target power of the battery clusters is determined based on an equalization coefficient. Since the target power is determined based on the average power, it will not be too high or too low. After determining the target power, the battery power of the clusters is adjusted to the target power. For example, if the battery power of a cluster is greater than the target power, the battery power can be decreased; if the battery power of a cluster is less than the target power, the battery power can be increased.

[0041] Specifically, during the charging process, the equalization coefficient can be the difference between the capacity coefficient and the average coefficient. A larger difference indicates a larger actual amount of battery capacity to be charged in the battery cluster, while a smaller difference indicates a smaller actual amount of battery capacity to be charged. The average power can be increased or decreased based on the equalization coefficient to obtain the target power. For example, when the equalization coefficient is positive, the average power can be increased; the larger the equalization coefficient, the greater the increase in average power, meaning the target power is greater than the average power. When the equalization coefficient is negative, the average power can be decreased; the smaller the equalization coefficient, the greater the decrease in average power, meaning the target power is less than the average power. This ensures that the target power of battery clusters with higher actual amounts of battery capacity to be charged is greater than that of battery clusters with lower actual amounts of battery capacity to be charged. This increases the charging current of battery clusters with higher actual amounts of battery capacity to be charged and decreases the charging current of battery clusters with lower actual amounts of battery capacity to be charged, thereby making the remaining battery capacity of each battery cluster tend to be more even. Furthermore, the sum of the adjusted target powers equals the operating power of the energy storage system. In this context, during the charging process, the target power is the target charging power of the battery cluster, the operating power of the energy storage system is the total charging power of the energy storage system, and the battery power of the battery cluster is the actual charging power of the battery cluster.

[0042] Specifically, during the discharge process, the average power can be increased or decreased based on the magnitude of the equalization coefficient to obtain the target power. For example, when the equalization coefficient is positive, the average power can be increased; the larger the equalization coefficient, the greater the increase in average power, meaning the target power is greater than the average power. Conversely, when the equalization coefficient is negative, the average power can be decreased; the smaller the equalization coefficient, the greater the decrease in average power, meaning the target power is less than the average power. This is to ensure that the target power of battery clusters with higher actual discharge capacity is greater than that of battery clusters with lower actual discharge capacity, thereby increasing the discharge current of battery clusters with higher actual discharge capacity and decreasing the discharge current of battery clusters with lower actual discharge capacity. This results in the remaining battery capacity of each battery cluster tending to be more even. Furthermore, the sum of the adjusted target powers equals the operating power of the energy storage system. During the discharge process, the target power is the target discharge power of the battery cluster, the operating power of the energy storage system is the total discharge power of the energy storage system, and the battery power of the battery cluster is the actual discharge power of the battery cluster.

[0043] Reference Figure 4 , Figure 4 for Figure 1 A detailed flowchart of another embodiment of step S300 includes, but is not limited to, the following steps: Step S340: When the capacity coefficient does not meet the first preset condition and the voltage difference of all battery clusters is greater than the preset voltage threshold, the average power of each battery cluster is determined according to the working power of the energy storage system and the number of battery clusters. Step S350: Adjust the battery power of the battery cluster according to the average power.

[0044] Understandably, when the capacity coefficient does not meet the first preset condition, the actual difference in battery capacity between battery clusters can be considered small. However, it could also be due to a battery cluster malfunction, leading to errors in the acquisition of remaining battery capacity. Furthermore, battery cluster voltage also reflects the remaining battery capacity; the higher the voltage, the greater the remaining capacity. Therefore, if the range of voltages across all battery clusters exceeds a preset voltage threshold, it indicates a potentially large difference in remaining battery capacity between clusters. In cases where the capacity coefficient does not meet the first preset condition and the range of voltages across all battery clusters exceeds the preset voltage threshold, the operating power of the energy storage system and the number of battery clusters can be averaged to obtain the average power of each cluster. Then, the battery power of each cluster can be adjusted to the average power to ensure that the charging and discharging power of each cluster is the same. That is, during charging, the charging power of each battery cluster is balanced to ensure that the charging power of each cluster is the same; during discharging, the discharging power of each battery cluster is balanced to ensure that the discharging power of each cluster is the same.

[0045] Reference Figure 5 , Figure 5 for Figure 1 The detailed flowchart of step S100 includes, but is not limited to, the following steps: Step S110: When the charging or discharging time of the energy storage system reaches the first time threshold, the battery power of each battery cluster is adjusted on average. Step S120: When the charging or discharging time of the energy storage system after the average adjustment of battery power reaches the second time threshold, obtain the remaining battery capacity, battery life and battery cluster voltage of each battery cluster.

[0046] It is understandable that when a battery cluster switches from a discharging state to a charging state or vice versa, the current and voltage will fluctuate significantly, and the battery cluster will be in an unstable state. In this situation, the obtained remaining battery capacity and battery cluster voltage may be inaccurate. Therefore, when the charging or discharging time of the energy storage system reaches a first time threshold, the battery power of each battery cluster is averaged. After averaging the battery power of each battery cluster, the battery power of each cluster is the same. Since the current and voltage will also fluctuate after the battery power changes, the charging or discharging time of the energy storage system can be accumulated again after the power adjustment. When the charging or discharging time reaches a second time threshold, the remaining battery capacity, battery life, and battery cluster voltage of each battery cluster are then obtained. At this point, the battery cluster parameters are relatively stable, and the obtained parameters are more accurate, improving the accuracy of balancing. The first and second time thresholds can be fixed time thresholds or determined based on the remaining battery capacity of the battery cluster; this invention does not impose specific limitations. For example, in the charging state, based on the remaining battery capacity of the battery cluster, the battery cluster will be fully charged in 180 seconds. If a fixed time threshold (such as 180 seconds) is continued to be used as the first time threshold or the second time threshold, it will be impossible to obtain the remaining battery capacity of each battery cluster normally. Therefore, if it is determined that the battery cluster will be fully charged in 180 seconds based on the current remaining battery capacity of the battery cluster, the preset time threshold can be adjusted to 30 seconds. In this case, if the first time threshold and / or the second time threshold are determined based on the remaining battery capacity of the battery cluster, the remaining battery capacity of the battery cluster can be continuously detected.

[0047] Reference Figure 6 , Figure 6 A flowchart of a control method for an energy storage system provided in another embodiment of the present invention includes, but is not limited to, the following steps: Step S400: Obtain the first voltage value of each battery cluster; Step S500: When the maximum voltage value among all battery cluster voltages reaches the first target voltage and the range of all first voltage values ​​is greater than the first target difference, the battery power of the battery cluster corresponding to the maximum voltage value among all first voltage values ​​is adjusted by reducing power.

[0048] Understandably, during charging, battery clusters exhibit a wide voltage plateau range. Within this range, voltage cannot be used as a reliable indicator of capacity. However, once a battery cluster has reached a higher capacity, its voltage can serve as a basis for assessing the remaining capacity. Furthermore, since a battery cluster consists of multiple energy storage batteries connected in series, significant capacity differences among the batteries in different clusters can lead to overcharging of the higher-capacity batteries. When the maximum voltage across all battery clusters reaches the first target voltage, it indicates the cluster is nearing full charge. However, a large difference in the maximum voltage values ​​across different clusters suggests uneven charge distribution, potentially leading to overcharging. Therefore, when the maximum voltage across all battery clusters reaches the first target voltage and the difference in the range of all first voltage values ​​exceeds the first target difference, the power output of the cluster corresponding to the maximum voltage value can be reduced. This balances the voltage differences between clusters, mitigating the risk of overcharging. The first voltage value is the maximum voltage value among all the energy storage batteries in the battery cluster.

[0049] Specifically, the decrease in battery power of the battery cluster corresponding to the maximum voltage value among all the first voltage values ​​can be adjusted based on the magnitude of the range among all the first voltage values, where the larger the range, the greater the decrease. Furthermore, since the operating power of the energy storage system remains constant, a decrease in the battery power of one battery cluster will lead to an increase in the battery power of the remaining battery clusters.

[0050] It should be noted that during the charging process, the battery power of the battery cluster corresponding to the highest voltage value among all the first voltage values ​​is adjusted by reducing the charging power of the battery cluster corresponding to the highest voltage value among all the first voltage values, thereby reducing the charging current of the battery cluster and thus reducing the charging speed of the battery cluster.

[0051] Reference Figure 7 , Figure 7 A flowchart of a control method for an energy storage system provided in another embodiment of the present invention includes, but is not limited to, the following steps: Step S600: Obtain the second voltage value of each battery cluster; Step S700: When the minimum voltage value of all battery clusters reaches the second target voltage and the range of all second voltage values ​​is greater than the first target difference, the battery power of the battery cluster corresponding to the minimum voltage value among all second voltage values ​​is adjusted by increasing the power.

[0052] Understandably, during discharge, battery clusters exhibit a wide voltage plateau range. Within this range, voltage cannot be used as a reliable indicator of capacity. However, when a battery cluster discharges to a low capacity level, its voltage can serve as a basis for assessing the remaining capacity. Furthermore, since a battery cluster consists of multiple energy storage batteries connected in series, significant capacity differences among the batteries in different clusters during discharge can lead to over-discharge of batteries with lower capacity. When the minimum voltage among all battery clusters reaches the second target voltage, it indicates that the cluster is nearing complete discharge. Simultaneously, a large range between the minimum voltage values ​​of the batteries within different clusters suggests uneven charge distribution. Without equalization, this can lead to over-discharge. Therefore, when the minimum voltage among all battery clusters reaches the second target voltage and the range between all first voltage values ​​exceeds the first target difference, the power output of the battery cluster corresponding to the minimum second voltage value can be reduced. This balances the voltage differences between clusters, thereby mitigating the risk of over-discharge. The second voltage value is the minimum voltage among all the energy storage batteries in the battery cluster.

[0053] Specifically, the decrease in battery power of the battery cluster corresponding to the minimum voltage value among all the second voltage values ​​can be adjusted based on the magnitude of the range among all the second voltage values, where the larger the range, the greater the decrease. Furthermore, since the operating power of the energy storage system remains constant, a decrease in the battery power of one battery cluster will lead to an increase in the battery power of the remaining battery clusters.

[0054] It should be noted that during the discharge process, the adjustment of the battery power of the battery cluster corresponding to the minimum voltage value among all the second voltage values ​​is to reduce the discharge power of the battery cluster corresponding to the minimum voltage value among all the second voltage values, thereby reducing the discharge current of the battery cluster and thus reducing the discharge rate of the battery cluster.

[0055] Secondly, referring to Figure 8 This invention provides an operation control device 800, including a memory 810, a processor 820, and a computer program stored in the memory 810 and executable on the processor 820. The processor 820 executes the program to implement the control method of the energy storage system as described in the first aspect embodiment above, for example, executing... Figure 1 Method steps S100 to S300 in the text Figure 2 Method steps S310 to S330, Figure 3 Method steps S331 to S333 in the text Figure 4 Method steps S340 to S350 Figure 5Method steps S110 to S120 Figure 6 Method steps S400 to S500 and Figure 7 Method steps S600 to S700.

[0056] The memory 810, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs, such as the control method of the energy storage system in the above embodiments of the present invention. The processor 820 implements the control method of the energy storage system in the above embodiments of the present invention by running the non-transitory software program and instructions stored in the memory 810.

[0057] The memory 810 may include a program storage area and a data storage area. The program storage area may store the operating system and application programs required for at least one function; the data storage area may store data required for executing the control method of the energy storage system in the above embodiments. Furthermore, the memory 810 may include a high-speed random access memory 810, and may also include non-transitory memory 810, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. It should be noted that the memory 810 may optionally include memory 810 remotely located relative to the processor 820, and these remote memories 810 can be connected to the terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0058] Thirdly, embodiments of the present invention provide an energy storage system, which includes an operation control device 800 as described in the second aspect embodiment. Mixing battery clusters with different available capacities can reduce the overall available capacity of the energy storage system. Therefore, it is necessary to balance the capacity of each battery cluster based on their differences. By comparing the remaining capacity and voltage of each battery cluster, the differences between them can be effectively identified. Furthermore, as the number of charge-discharge cycles increases, the lifespan of each battery cluster decreases, resulting in the obtained remaining capacity not being the actual capacity of the cluster. Therefore, by acquiring the remaining capacity, lifespan, and voltage of each battery cluster, and then determining the actual capacity (capacity coefficient) of the cluster based on the remaining capacity and lifespan, and then balancing the power of each battery cluster based on the capacity coefficient and voltage, the differences between battery clusters can be accurately identified, and the clusters can be balanced to reduce the differences in available capacity, thereby improving the overall available capacity of the energy storage system.

[0059] Fourthly, embodiments of the present invention provide a computer-readable storage medium storing computer-executable instructions for causing a computer to perform the control method of the energy storage system as described in the first aspect embodiment above, for example, executing... Figure 1 Method steps S100 to S300 in the text Figure 2 Method steps S310 to S330, Figure 3 Method steps S331 to S333 in the text Figure 4 Method steps S340 to S350 Figure 5 Method steps S110 to S120 Figure 6 Method steps S400 to S500 and Figure 7 Method steps S600 to S700 are described above. Those skilled in the art will understand that all or some of the steps in the methods disclosed above, and the system, can be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all physical components can be implemented as processors, such as central processing units, digital signal processors, or microprocessors executing software, or as hardware, or as integrated circuits, such as application-specific integrated circuits (ASICs). Such software can be distributed on a computer-readable medium, which can include computer storage media or non-transitory media and communication media or transient media. As is known to those skilled in the art, computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information such as computer-readable instructions, data structures, program modules, or other data. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc DVD or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and is accessible to a computer. Furthermore, as is known to those skilled in the art, communication media typically contain computer-readable instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

[0060] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the 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.

[0061] The above is a detailed description of the preferred embodiments of the present invention. However, the present invention is not limited to the above embodiments. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of the present invention. All such equivalent modifications or substitutions are included within the scope defined by the claims of the present invention.

Claims

1. A control method for an energy storage system, characterized in that, The energy storage system includes multiple battery clusters; The control method includes: Obtain the remaining battery capacity, battery lifespan, and battery cluster voltage for each of the battery clusters; For each of the battery clusters, a capacity coefficient is obtained based on the remaining capacity of the battery and the battery lifespan. The battery power of each battery cluster is balanced and adjusted according to the respective capacity coefficients and the respective battery cluster voltages.

2. The control method according to claim 1, characterized in that, The step of balancing the battery power of each battery cluster based on each capacity coefficient and each battery cluster voltage includes: When the capacity coefficient meets the first preset condition, the average of all the capacity coefficients is calculated to obtain the average coefficient. The equilibrium coefficient of each battery cluster is determined based on the average coefficient and each of the capacity coefficients. The battery power of the battery cluster is balanced and adjusted according to the balance coefficient and the operating power of the energy storage system.

3. The control method according to claim 2, characterized in that, The step of balancing and adjusting the battery power of the battery cluster based on the balancing coefficient and the operating power of the energy storage system includes: The average power of each battery cluster is determined based on the operating power of the energy storage system and the number of battery clusters. The target power of the battery cluster is determined based on the average power and the equalization coefficient. The battery power of the battery cluster is balanced and adjusted according to the target power.

4. The control method according to claim 1, characterized in that, The step of balancing and adjusting each battery cluster based on each capacity coefficient and each battery cluster voltage further includes: When the capacity coefficient does not meet the first preset condition and the voltage range of all battery clusters is greater than the preset voltage threshold, the average power of each battery cluster is determined according to the working power of the energy storage system and the number of battery clusters. The battery power of the battery cluster is balanced and adjusted based on the average power.

5. The control method according to claim 2 or 4, characterized in that, The first preset condition is: the range of all the capacity coefficients is greater than a preset parameter threshold.

6. The control method according to claim 1, characterized in that, The process of obtaining the remaining battery capacity, battery lifespan, and battery cluster voltage of each battery cluster includes: When the charging or discharging time of the energy storage system reaches a first time threshold, the battery power of each battery cluster is adjusted on average. When the charging or discharging time of the energy storage system after the average adjustment of battery power reaches the second time threshold, the remaining battery capacity, battery life and battery cluster voltage of each battery cluster are obtained.

7. The control method according to claim 1, characterized in that, The process of obtaining a capacity coefficient for each of the battery clusters based on the remaining battery capacity and the battery lifespan includes: When the energy storage system is in the charging state, for each battery cluster, the amount of battery to be charged is obtained based on the total battery capacity of the battery cluster and the remaining battery capacity. The capacity coefficient is obtained by multiplying the battery's charge capacity and its lifespan.

8. The control method according to claim 7, characterized in that, The battery cluster includes multiple energy storage batteries, and the control method further includes: Obtain the first voltage value of each of the battery clusters, wherein the first voltage value is the maximum voltage value among all the battery voltages of the energy storage batteries in the battery cluster; When the maximum voltage value among all the battery cluster voltages reaches the first target voltage and the range of all the first voltage values ​​is greater than the first target difference, the battery power of the battery cluster corresponding to the maximum voltage value among all the first voltage values ​​is adjusted by reducing the power.

9. The control method according to claim 1, characterized in that, The process of obtaining a capacity coefficient for each of the battery clusters based on the remaining battery capacity and the battery lifespan includes: When the energy storage system is in a discharge state, for each battery cluster, the remaining capacity of the battery and the battery lifespan are multiplied to obtain the capacity coefficient.

10. The control method according to claim 9, characterized in that, The battery cluster includes multiple energy storage batteries, and the control method further includes: Obtain the second voltage value of each of the battery clusters, wherein the second voltage value is the minimum voltage value among all the energy storage batteries in the battery cluster; When the minimum voltage value of all the battery clusters reaches the second target voltage and the range of all the second voltage values ​​is greater than the first target difference, the battery power of the battery cluster corresponding to the minimum voltage value among all the second voltage values ​​is adjusted by increasing the power.

11. An operation control device, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the program to implement the control method as described in any one of claims 1 to 10.

12. An energy storage system, characterized in that, Includes the operation control device as described in claim 11.

13. A computer storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions for causing a computer to perform the control method as described in any one of claims 1 to 10.

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