Energy storage battery system adjustment method and device, electronic equipment and system

Abstract

The application provides an energy storage battery system adjustment method, device, electronic equipment and system. The method comprises the following steps: obtaining system parameters of an energy storage battery system; determining an additional chargeable output capacity or an additional dischargeable output capacity according to a maximum output capacity allowed by N battery units and a working output condition of the system; calculating a difference between N SOC and a preset target threshold value, calculating N SOC deviations according to the difference and N SOH, and determining a target battery unit; calculating a first ratio of the maximum value between the additional chargeable output capacity and the absolute value of N SOC deviations, and / or calculating a second ratio of the additional dischargeable output capacity and the maximum value; calculating an actual allocated output capacity of the target battery unit based on the average of the working output condition of the system, the SOC deviation of the target battery unit, a superposition parameter, the first ratio and / or the second ratio, and adjusting the target battery unit based on the actual allocated output capacity, so as to reduce errors and improve accuracy.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of energy storage, in particular to an energy storage battery system adjustment method and device, electronic equipment and system. BACKGROUND

[0002] With the development of energy storage technology, energy storage systems play an increasingly important role as an important part of smart grids and micro-grid systems. An energy storage system often contains multiple battery units. When there are differences between the battery units, the core lies in the differences in SOC (State Of Charge, battery state of charge), SOH (State Of Health, battery health status), and SOP (State Of Power, battery power status). These differences will cause the actual running capacity to decline.

[0003] In the prior art, the SOC, rated power, rated current, charging efficiency and discharging efficiency of the energy storage system are obtained, and the working state of each battery unit is set. Further, a power / current correction amount is calculated by using a constrained algorithm, a consistency algorithm, a genetic algorithm and the like to control the distributed power / current, so as to adjust the SOC of the battery unit, so as to realize the balance of the state of charge.

[0004] However, the application scenario of the above method is limited, and it cannot be applied in charging, discharging and reactive power at the same time. In addition, when adjusting the SOC by power / current, other parameters of each battery unit are not considered, for example, the SOP of each battery unit is not considered, the SOH of each battery unit is not considered, and the actual error is not considered, resulting in low accuracy of adjustment. SUMMARY

[0005] The present application provides an energy storage battery system adjustment method, device, electronic equipment and system, which can be applied in charging, discharging and reactive power, and considers many related parameters and actual errors, thereby improving the accuracy of adjustment.

[0006] In a first aspect, the present application provides an energy storage battery system adjustment method, which comprises:

[0007] obtaining system parameters of an energy storage battery system; the energy storage battery system comprises N battery units, and the system parameters comprise: battery state of charge SOC of the N battery units and corresponding battery health status SOH, maximum output capacity allowed by the N battery units, and working output capacity of the energy storage battery system; the maximum output capacity comprises maximum charging output capacity and / or maximum discharging output capacity; the working output capacity comprises charging output capacity or discharging output capacity;

[0008] determining the additional chargeable output capability and / or the additional dischargeable output capability according to the maximum output capability allowed by the N battery units and the working output condition of the energy storage battery system;

[0009] calculating the difference between the SOC of the N battery units and the preset target threshold value, calculating the SOC deviation of the N battery units according to the difference and the SOH corresponding to the N battery units, and determining the charge and discharge state of the target battery unit to be adjusted based on the SOC deviation of the N battery units;

[0010] calculating a first ratio of the maximum value between the additional chargeable output capability and the absolute value of the SOC deviation of the N battery units, and / or calculating a second ratio of the additional dischargeable output capability and the maximum value;

[0011] calculating the actual allocated output capability of the target battery unit based on the mean value of the working output condition of the energy storage battery system, the SOC deviation of the target battery unit, a superposition parameter, the first ratio and / or the second ratio, wherein the superposition parameter is used to adjust the degree of output capability change rate;

[0012] adjusting the SOC of the target battery unit according to the calculated actual allocated output capability of the target battery unit.

[0013] Optionally, the absolute value of the working output condition of the energy storage battery system is less than or equal to the sum of the absolute values of the maximum output capability allowed by the N battery units; and determining the additional chargeable output capability and / or the additional dischargeable output capability according to the maximum output capability allowed by the N battery units and the working output condition of the energy storage battery system comprises:

[0014] determining the working output condition of the energy storage battery system according to the minimum value of the absolute values of the maximum output capability allowed by the N battery units;

[0015] selecting the minimum value of the maximum chargeable output capability allowed by the N battery units as a first output capability; and calculating the difference between the mean value of the maximum chargeable output capability allowed by the N battery units and the working output condition of the energy storage battery system to obtain a second output capability;

[0016] determining whether the first output capability is greater than the second output capability; if yes, determining the second output capability as the additional chargeable output capability; and if no, determining the first output capability as the additional chargeable output capability;

[0017] And / or, selecting the minimum value of the maximum discharge output capacity allowed by the N battery units as a third output capacity; and calculating the difference between the maximum discharge output capacity allowed by the N battery units and the average of the work output condition of the energy storage battery system to obtain a fourth output capacity;

[0018] Determining whether the third output capacity is greater than the fourth output capacity, if yes, determining the fourth output capacity as the additional dischargeable output capacity, if no, determining the third output capacity as the additional dischargeable output capacity.

[0019] Optionally, determining the charge and discharge state of the target battery unit to be adjusted based on the SOC deviation of the N battery units, comprising:

[0020] Determining whether the target battery unit needs to be charged or discharged based on the SOC deviation of the N battery units;

[0021] If the SOC deviation of the target battery unit is positive, determining that the target battery unit needs to be discharged, if the SOC deviation of the target battery unit is negative, determining that the target battery unit needs to be charged.

[0022] Optionally, adjusting the SOC of the target battery unit according to the actual allocated output capacity of the target battery unit calculated, comprising:

[0023] Obtaining the actual allocated output capacity of each target battery unit calculated;

[0024] Adjusting the SOC of each target battery unit according to the actual allocated output capacity of each target battery unit.

[0025] Optionally, the actual allocated output capacity of the target battery unit is determined by the following formula:

[0026] P(i) = P_demand / n + dSOC(i) * dSOP_SOC * k

[0027] Wherein, P(i) represents the actual allocated output capacity corresponding to the i-th target battery unit; dSOC(i) represents the SOC deviation of the i-th target battery unit; P_demand represents the work output condition of the energy storage battery system; n represents the number of battery units in the energy storage battery system; dSOP_SOC represents the minimum value of the first ratio and / or the second ratio; k represents a superposition parameter, k is a positive number not greater than 1.

[0028] Optionally, the method further comprises:

[0029] obtaining the system parameters of the energy storage battery system uploaded by the battery management system, or obtaining the system parameters of the energy storage battery system sent by the cloud, or obtaining the system parameters of the energy storage battery system input by the user, or obtaining the system parameters of the energy storage battery system calculated by the battery management system according to the SOC, the corresponding SOH and the battery power state SOP.

[0030] In a second aspect, the present application also provides an energy storage battery system adjusting device, which comprises:

[0031] The obtaining module is configured to obtain system parameters of an energy storage battery system; the energy storage battery system comprises N battery units, and the system parameters comprise battery state of charge SOC of the N battery units and corresponding battery state of health SOH, maximum output capacity allowed by the N battery units, and working output condition of the energy storage battery system; the maximum output capacity comprises maximum charging output capacity and / or maximum discharging output capacity; the working output condition comprises charging output capacity or discharging output capacity.

[0032] The determining module is configured to determine additional charging output capacity and / or additional discharging output capacity according to the maximum output capacity allowed by the N battery units and the working output condition of the energy storage battery system.

[0033] The first calculating module is configured to calculate a difference between the SOC of the N battery units and a preset target threshold, calculate SOC deviation of the N battery units according to the difference and the corresponding SOH of the N battery units, and determine a charging / discharging state of a target battery unit to be adjusted based on the SOC deviation of the N battery units.

[0034] The second calculating module is configured to calculate a first ratio of a maximum value between the additional charging output capacity and an absolute value of the SOC deviation of the N battery units, and / or calculate a second ratio of the additional discharging output capacity and the maximum value.

[0035] The third calculating module is configured to calculate an actual allocated output capacity of the target battery unit based on a mean value of the working output condition of the energy storage battery system, the SOC deviation of the target battery unit, a superposition parameter, the first ratio and / or the second ratio; the superposition parameter is used to adjust a degree of output capacity change rate.

[0036] The adjusting module is configured to perform SOC adjustment on the target battery unit according to the calculated actual allocated output capacity of the target battery unit.

[0037] In a third aspect, the present application also provides an electronic device, which comprises a processor and a memory connected with the processor in communication.

[0038] The memory stores computer-executable instructions;

[0039] The processor executes the computer-executable instructions stored in the memory to implement the method of any one of the first aspect.

[0040] In a fourth aspect, the present application also provides an energy storage battery system, comprising: a battery management system, an energy management system, and the electronic device of the third aspect.

[0041] In a fifth aspect, the present application also provides a computer-readable storage medium, which stores computer-executable instructions, and the computer-executable instructions are executed by a processor to implement the energy storage battery system adjustment method of any one of the first aspect.

[0042] In a sixth aspect, the present application also provides a computer program, which comprises program codes, and the program codes are executed by a computer to implement the method of any one of the first aspect.

[0043] In summary, the present application provides an energy storage battery system adjustment method, device, electronic device and system. The method can obtain system parameters of an energy storage battery system. The energy storage battery system comprises N battery units. The system parameters comprise: battery state of charge (SOC) and corresponding battery state of health (SOH) of the N battery units, maximum output capacity allowed by the N battery units, and working output condition of the energy storage battery system. The maximum output capacity comprises maximum charging output capacity and / or maximum discharging output capacity. The working output condition comprises charging output capacity or discharging output capacity. Further, the additional charging output capacity and / or the additional discharging output capacity can be determined according to the maximum output capacity allowed by the N battery units and the working output condition of the energy storage battery system. Further, the difference between the SOC of the N battery units and a preset target threshold value can be calculated. According to the difference and the SOH corresponding to the N battery units, the SOC deviation of the N battery units can be calculated. The SOC deviation can determine the charging and discharging state of the target battery unit to be adjusted. Further, the first ratio of the maximum value between the additional charging output capacity and the absolute value of the SOC deviation of the N battery units, and / or the second ratio of the maximum value between the additional discharging output capacity and the absolute value of the SOC deviation of the N battery units can be calculated. Based on the mean value of the working output condition of the energy storage battery system, the SOC deviation of the target battery unit, the superposition parameter, the first ratio and / or the second ratio, the actual allocated output capacity of the target battery unit can be calculated. The SOC of the target battery unit is adjusted according to the actual allocated output capacity of the target battery unit. In this way, the method can be applied in charging, discharging and reactive power conditions. Many related parameters are considered, and the error in practice is also considered, so that the accuracy of the adjustment is improved. BRIEF DESCRIPTION OF DRAWINGS

[0044] The accompanying drawings, which are incorporated herein and constitute part of the specification, illustrate embodiments consistent with the application and, together with the description, further serve to explain the principles of the application.

[0045] Figure 1 An application scenario schematic diagram provided for an embodiment of the application;

[0046] Figure 2 A framework structure schematic diagram of a SOC automatic correction system of an energy storage system;

[0047] Figure 3 A framework structure schematic diagram of a multi-stage SOC equalization control system of an energy storage system;

[0048] Figure 4 A flowchart of energy management of a light storage system;

[0049] Figure 5 A flowchart of an energy storage system management and control method based on global energy efficiency optimization and SOC self-adaption;

[0050] Figure 6 A power correction amount generation method flowchart;

[0051] Figure 7 A flowchart of an energy storage battery system adjustment method provided for an embodiment of the application;

[0052] Figure 8 A structure schematic diagram of an energy storage battery system adjustment device provided for an embodiment of the application;

[0053] Figure 9 A structure schematic diagram of an electronic device provided for an embodiment of the application.

[0054] Through the above-mentioned drawings, the specific embodiments of the application have been shown, and will be described in more detail hereinafter. These drawings and textual descriptions are not intended to limit the scope of the concept of the application by any means, but to illustrate the concept of the application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0055] The exemplary embodiments will be described in detail herein with reference to the attached drawings. The following description is made with reference to the accompanying drawings in which like reference numerals represent like elements, unless the context of use indicates otherwise. The following description of exemplary embodiments is not representative of all embodiments consistent with the application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of the application as detailed in the appended claims.

[0056] For the convenience of clearly describing the technical solutions of the embodiments of the present application, in the embodiments of the present application, the terms "first", "second", etc. are used to distinguish the same or similar items with basically the same function and role. For example, the first device and the second device are only used to distinguish different devices, and do not limit the sequence. Those skilled in the art can understand that the terms "first", "second", etc. do not limit the quantity and execution sequence, and the terms "first", "second", etc. also do not necessarily mean different.

[0057] It should be noted that in the present application, the words "exemplary" or "for example" are used to mean serving as an example, instance, or illustration. Any embodiment or design solution described as "exemplary" or "for example" in the present application should not be interpreted as being more preferred or advantageous than other embodiments or design solutions. Rather, the use of the words "exemplary" or "for example" is intended to present relevant concepts in a specific way.

[0058] In the present application, "at least one" means one or more, and "multiple" means two or more. The "and / or" describes the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B, which can represent the following three cases: A exists alone, A and B exist together, and B exists alone, where A and B can be singular or plural. The character " / " generally represents an "or" relationship between the associated objects before and after it. "At least one of the following" or similar expressions means any combination of these items, including any combination of single or multiple items. For example, at least one of a, b, or c can represent a, b, c, a-b, a-c, b-c, or a-b-c, where a, b, and c can be single or multiple.

[0059] The embodiments of the present application will be described below with reference to the accompanying drawings. Figure 1 An application scenario diagram is provided for the embodiments of the present application. The energy storage battery system adjustment method provided by the present application can be applied to, for example, Figure 1The application scenario shown. The application scenario includes: server 101, battery management system 1, battery management system 2, battery unit 1-16 and battery unit 17-32; wherein, the battery management system 1 can manage and maintain the battery unit 1-16, the battery management system 2 can manage and maintain the battery unit 17-32, taking the battery unit 1-16 managed by the battery management system 1 as an example, the battery unit 1, the battery unit 2, the battery unit 3 and the battery unit 4 are located in level 1, and the battery unit 5-8 is also located in level 1, the battery unit 9-12 is also located in level 1, the battery unit 15-16 is also located in level 1, and the battery unit 1-4, the battery unit 5-8, the battery unit 9-12 and the battery unit 13-16 are located in level 2, the battery unit 1-8 and the battery unit 9-16 are located in level 3, level 3 is higher than level 2, and level 2 is higher than level 1. The battery unit 17-32 managed by the battery management system 2 is similar to the battery unit 1-16 managed by the battery management system 1, which will not be described here.

[0060] The battery management system 1 can collect and store the system parameters of the battery unit 1-16 in real time, and the battery management system 2 can collect and store the system parameters of the battery unit 17-32 in real time. Further, the battery management system 1 and the battery management system 2 can upload the collected system parameters to the server 101, and the server 101 can obtain and process the system parameters uploaded by the battery management system 1 and the battery management system 2.

[0061] It should be noted that one energy storage battery system can include multiple battery management systems, and one battery management system can manage multiple battery units. The number of battery management systems included in one energy storage battery system and the number of battery units managed by any battery management system are not limited in the embodiments of the application.

[0062] In one possible implementation, the battery management unit can be processed by a kind of energy storage system SOC automatic correction system, Figure 2 The framework structure diagram of a kind of energy storage system SOC automatic correction system is shown as Figure 2As shown, the energy storage system SOC automatic correction system includes a battery management layer, an execution layer and an AGC (Automatic Gain Control) control layer. The battery management layer includes four battery management systems (BMS) BMS-1 to BMS-4, the execution layer includes four power conversion systems (PCS) PCS-1 to PCS-4 and a centralized control device (KQ), each PCS is in communication connection with the KQ, and each PCS is in communication connection with a BMS. The AGC control layer includes an AGC in communication connection with the KQ.

[0063] Specifically, the AGC control layer includes an AGC, the execution layer includes a KQ, PCS-1, PCS-2, PCS-3 and PCS-4, and the battery stack management layer includes BMS-1, BMS-2, BMS-3 and BMS-4. First, BMS-1 to BMS-4 respectively obtain the SOC deviation of itself, then send the SOC deviation to the corresponding PCS, for example, BMS-1 sends the SOC deviation to PCS-1, and each PCS receives the SOC deviation sent by the corresponding BMS, and sends the SOC deviation to the KQ for sorting processing to obtain the maximum deviation, and generates a correction control instruction, which is further sent to the target battery management system corresponding to the maximum deviation through the PCS to execute the correction control instruction to achieve the correction purpose.

[0064] It should be noted that the AGC is used to receive the frequency modulation power instruction and send the frequency modulation power instruction to the KQ.

[0065] However, the above method uses a preset SOC threshold value, which cannot be dynamically adjusted in real time, and the application scenarios that can be used are limited.

[0066] In a possible implementation manner, a battery management unit can be processed by an energy storage system multi-level SOC equalization control system, Figure 3 A schematic diagram of a framework structure of an energy storage system multi-level SOC equalization control system is shown in FIG. 1. Figure 3As shown, the multi-stage SOC equalization control system of the energy storage system includes an AGC control system layer, an energy storage monitoring system layer, a medium voltage box system layer, and a battery box system layer. The battery box system layer includes four battery box systems, namely KQ1-KQ4, PCS1-1-PCS1-4, PCS2-1-PCS2-4, PCS3-1-PCS3-4, and PCS4-1-PCS4-4. KQ1 is connected to PCS1-1-PCS1-4, and KQ2-KQ4 are similar to KQ1, which will not be repeated here. Each battery box system includes four battery management systems, namely BMS1-1-BMS1-4, BMS2-1-BMS2-4, BMS3-1-BMS3-4, and BMS4-1-BMS4-4.

[0067] Specifically, the four battery management systems of any one of the above battery boxes obtain the corresponding SOC and calculate the average of the four battery management systems. Further, one end of the energy storage monitoring system layer is connected to the medium voltage box system layer, and the other end is connected to the AGC control system layer. When the received power control instruction is a non-full power instruction, the energy storage monitoring system layer adjusts according to the average of the battery box to achieve equalization.

[0068] However, the above method adjusts the power equalization in the box by setting the average value of the equalization target SOC, which cannot set other target values. Moreover, when reducing the SOC difference, the set SOC target has limitations, is not comprehensive enough, and the accuracy is low.

[0069] In one possible implementation, taking the energy management battery unit of a light storage system as an example, Figure 4 A flowchart for energy management of a light storage system is shown in FIG. 1. Figure 4 As shown, step 1: obtain the photovoltaic power generation power characteristic and set the initial state of the energy storage system, and execute step 2; step 2: calculate the fluctuation amount and fluctuation rate of the photovoltaic power generation power of the photovoltaic power station at the current time, and determine whether the fluctuation rate exceeds 10% of the installed capacity per minute when there is power. If yes, execute step 3, if not, stop execution; step 3: calculate the overall output of the energy storage system and determine the constraint parameters and target function coefficients, and execute step 4; step 4: solve the target function (i.e., the optimal solution of the model) using a genetic algorithm, execute the charging and discharging control strategy of the energy storage power station according to the target function, and perform charging and discharging power redistribution.

[0070] However, the above-mentioned only adjusts the balance in the active state, and cannot be adjusted in the reactive state. When using power adjustment SOC, the related parameters affecting each battery unit are not considered, and when adjusting the balance, the power state of each battery pack is consistent with the total active power, that is, when the total active power is charged, the power of each battery pack is charged; when the total active power is discharged, the power of each battery pack is discharged, and it cannot be applied in the case of charging, discharging and reactive at the same time.

[0071] In a possible implementation manner, Figure 5 A flowchart of a power correction amount generation method is shown in FIG. 6. Figure 5 In S101, based on the residual capacity of each battery device in a certain battery substation and the rated power of each battery device, the working state of each battery device is set, wherein the working state includes putting into operation and withdrawing from operation; in S102, in response to the obtained total power instruction value, the power task of a certain battery device in the at least one battery substation is allocated to maximize the overall energy efficiency of the multi-battery energy storage system, so as to obtain a power optimization value of the certain battery device; in S103, based on the residual capacity of the certain battery device, the allocated power task is corrected to obtain a power adjustment value of the certain battery device; in S104, if the multi-battery energy storage system outputs power or absorbs power to the power grid, the minimum absolute value of the power optimization value of the certain battery device, the power adjustment value of the certain battery device and the rated power value of the certain battery device is selected as the power instruction of the certain battery device. The energy storage system is regulated and controlled according to the power instruction.

[0072] However, the above-mentioned method only considers the residual capacity of each battery device and the rated power of each battery device when allocating power, and considers that the allowable work power at all times is the rated power, without considering the difference of the real-time allowable work power. Therefore, the adjustment scheme cannot effectively meet the demand power, and there is still an error after adjustment.

[0073] In a possible implementation manner, Figure 6 A flowchart of a power correction amount generation method is shown in FIG. 6. Figure 6 As shown in FIG. 6, the method comprises the following steps: step 1: system initialization, judging whether it is an update time, if yes, executing step 2, if no, directly outputting the power correction amount; step 2: communicating with the adjacent node (i.e. adjacent energy storage unit), obtaining the current SOC value, and calculating the ideal state amount (i.e. s i (k+1)) of the next time, the self-power change amount (i.e. △P i-i ) and the mutual power change amount (i.e. △P i-j), execute step 3; step 3: communicate with adjacent energy storage units, send the mutual power conversion amount of the unit, and correspondingly, the adjacent energy storage units receive the mutual power conversion amount of each adjacent unit and calculate the power correction amount (i.e. △P i ), further, each energy storage unit adds the power correction amount to the primary distribution power, updates and outputs the power correction amount, and further realizes SOC balancing.

[0074] However, the above method is aimed at energy storage units that can communicate with each other, and adjusts the power to realize SOC balancing. When the energy storage units cannot communicate with each other, balancing cannot be performed from a higher level. In addition, when adjusting, only the SOC of each energy storage unit is considered, and the inconsistency of SOH is not considered, which will also affect the accuracy.

[0075] In a possible implementation, system parameters can also be set, for example, the system parameters can include the rated power, charging efficiency, discharging efficiency, etc. of each energy storage, and further, by using a completely distributed control method of one-way communication modeling, the total control instruction can be completed by communication between each energy storage, and the SOC remains relatively balanced during charging and discharging.

[0076] However, this method can only be balanced and adjusted in the active state, and when adjusting the SOC with power, neither the SOP of each battery unit nor the actual error is considered, and the adjustment accuracy is low.

[0077] To solve the problems in the prior art, the present application provides an energy storage battery system adjustment method, which can obtain a large number of related parameters affecting each battery unit, such as SOC, SOH, the maximum output capacity allowed by the battery unit, and the work output of the energy storage battery system, etc. The SOC deviation of the battery unit is calculated according to the obtained parameters and the set threshold value, and the target battery unit to be adjusted is determined. The actual distribution output capacity of the target battery unit is calculated by adding the superposition parameter and designing an algorithm, and the SOC of the target battery unit is adjusted. The output capacity can be power or current. In this way, not only can the output of each battery unit in the energy storage system be adjusted in real time, the SOC of each battery unit can be balanced as much as possible, and the whole energy storage system can be kept in the optimal state, but also the available output capacity and the maximum power can be realized. In addition, the energy storage battery system adjustment method can be applied in the case of simultaneous charging, discharging and no work, and the application scenarios are more. The actual error is considered, and the accuracy of the adjustment is improved.

[0078] For example, Figure 7 A flowchart of an energy storage battery system adjustment method provided by an embodiment of the present application is shown in Figure 7 As shown in the figure, the method of the embodiment of the present application comprises:

[0079] S701, acquire system parameters of the energy storage battery system; the energy storage battery system includes N battery units, and the system parameters include: a battery state of charge SOC and a corresponding battery state of health SOH of the N battery units, a maximum output capacity allowed by the N battery units, and a working output condition of the energy storage battery system; the maximum output capacity includes a maximum charging output capacity and / or a maximum discharging output capacity; and the working output condition includes a charging output capacity or a discharging output capacity.

[0080] In the embodiment of the present application, the battery state of charge (SOC) can refer to the proportion of the available power in the battery to the nominal capacity, which is an important monitoring data of the battery management system. The battery management system controls the battery working state according to the SOC value. The remaining power of the battery can reflect the state of charge of the battery, which can be expressed by a percentage or a fraction, for example, 80%. The embodiment of the present application does not make specific limitation on this.

[0081] The battery state of health (SOH) can refer to a quantitative indicator of the battery state of health, which can be determined according to the end of life of the battery, and can also be understood as the percentage of the current capacity of the battery to the factory capacity. The SOH can be used to calculate key parameters such as SOP and judge when the battery system needs to be replaced or whether it can be used in a degraded manner. The SOH can be expressed by a percentage or a fraction, for example, 60%. The embodiment of the present application does not make specific limitation on this.

[0082] The maximum output capacity can refer to the maximum amount of energy change on the circuit element per unit time, which is a physical quantity with size and positive and negative signs, and can also refer to a limit value of the capacity that the circuit element can withstand. The maximum output capacity can include a maximum charging output capacity and / or a maximum discharging output capacity. The greater the maximum output capacity, the more devices the battery can load. The output capacity includes current or power.

[0083] The working output condition can refer to the force required by the energy storage system to do work at a certain moment, which can include a charging output capacity or a discharging output capacity. The required working output condition of the energy storage system can be determined by an EMS (Energy Management System) according to the SOP. The charging output capacity usually refers to the charging power of the power transmission line or the current formed by the movement of charged particles. The discharging output capacity usually refers to the discharging parameter of the battery discharging speed or the discharging parameter formed when the storage battery discharges the stored power to the load. For convenience of description, the charging output capacity is negative, the discharging output capacity is positive, and the reactive power is 0 in the output capacity. For example, the charging output capacity is -10W or -10A, and the discharging output capacity is 6W or 6A.

[0084] It should be noted that the "output capability" in the embodiments of the present application includes current or power, and the following embodiments will not be described one by one, so the maximum output capability allowed by the N battery units in the system parameters obtained in the present application can be the maximum current allowed by the N battery units, or the maximum power allowed by the N battery units, the maximum current includes the maximum charging current and / or the maximum discharging current, and the maximum power includes the maximum charging power and / or the maximum discharging power, and similarly, the content related to the output capability in the present application can be replaced by the content related to the current or power, which will not be described one by one here, but the current and / or power as parameters can achieve the purpose of finally realizing the adjustment of the energy storage battery system.

[0085] For example, in the application scenario of Figure 1 In the application scenario of

[0086] It should be noted that the specific form of the work output condition in the embodiments of the present application is not limited, and other parameter categories can also be used, but the work output condition of the energy storage system should be reflected.

[0087] S702, determining the additional chargeable output capability and / or the additional dischargeable output capability according to the maximum output capability allowed by the N battery units and the work output condition of the energy storage battery system.

[0088] In the embodiments of the present application, the additional chargeable output capability can refer to the output capability of the battery that can be additionally charged under the charging condition, and / or the output capability of the battery that can be additionally charged under the discharging condition.

[0089] The additional dischargeable output capability can refer to the output capability of the battery that can be additionally discharged under the charging condition, and / or the output capability of the battery that can be additionally discharged under the discharging condition.

[0090] It should be noted that, in general, the EMS ensures that the work output condition of the energy storage battery system is within the SOP allowable range to make the energy storage system work normally, that is, the absolute value of the work output condition of the energy storage battery system is less than or equal to the sum of the absolute values of the maximum output capability allowed by the N battery units, for example, the absolute value of the charging output capability of the energy storage battery system is less than or equal to the sum of the absolute values of the maximum charging output capability allowed by each battery unit; the absolute value of the discharging output capability of the energy storage battery system is less than or equal to the sum of the absolute values of the maximum discharging output capability allowed by each battery unit.

[0091] For example, in the application scenario of Figure 1In the application scenario of the server 101, the server 101 can determine the additional chargeable power according to the maximum chargeable power of the 32 battery units and the chargeable power of the energy storage battery system, or determine the additional dischargeable power according to the maximum dischargeable power of the 32 battery units and the dischargeable power of the energy storage battery system.

[0092] In S703, the difference between the SOC of the N battery units and the preset target threshold value is calculated, the SOC deviation of the N battery units is calculated according to the difference and the SOH corresponding to the N battery units, and the charge and discharge state of the target battery unit to be adjusted is determined based on the SOC deviation of the N battery units.

[0093] In the embodiments of the present application, the preset target threshold value can refer to a value that can achieve the purpose of adjusting and balancing the SOC of each battery unit, so that the SOC of the battery unit approaches the target threshold value. For example, the target threshold value can be 60%.

[0094] It should be noted that the preset target threshold value can be a fixed value, can be a certain interval range, can be real-time variable, and can also be the real-time average value, median value, or other desired value of the SOC of each battery unit, and the embodiments of the present application do not make specific limitations.

[0095] In this step, the target battery unit can refer to the battery unit that needs to be adjusted in charge and discharge, so that the SOC of the target battery unit approaches the preset target threshold value. The target battery unit can be controlled by adjusting the power or by adjusting the current, and the embodiments of the present application do not make specific limitations.

[0096] For example, the deviation of the SOC of each battery unit from the preset target threshold value is denoted as dSOC(1), dSOC(2), …, dSOC(n), where the number of battery units is denoted as n, the preset target threshold value is denoted as SOC_tgt, the meaning of dSOC(i) is that the actual SOC difference between the i-th battery unit and SOC_tgt compared to the initial state (i.e. 100% SOH), the meaning of SOH(i) is the SOH of the i-th battery unit, and the SOC deviation of the battery unit can be determined by the following formula:

[0097] dSOC(i) = (SOC(i) - SOC_tgt) * SOH(i)

[0098] If the calculated dSOC(i) is positive, it means that the battery unit needs to be discharged to approach SOC_tgt; otherwise, if the calculated dSOC(i) is negative, it means that the battery unit needs to be charged.

[0099] It can be understood that the target battery cell to be adjusted can be determined according to the calculated SOC deviation of the N battery cells.

[0100] S704, calculating a first ratio of the maximum value of the absolute value of the SOC deviation of the N battery cells and the additional chargeable output capability, and / or calculating a second ratio of the maximum value and the additional dischargeable output capability.

[0101] In the embodiments of the present application, the maximum value of the SOC deviation of the battery cell to be charged is denoted as dSOC_cha_max. Since the SOC deviation of the battery cell is positive when the battery cell is in the state of being discharged, and the SOC deviation of the battery cell is negative when the battery cell is in the state of being charged, dSOC_cha_max is the absolute value of the minimum value of the SOC deviation of all battery cells, and can also be understood as the maximum value of the absolute value of the SOC deviation of all battery cells.

[0102] Similarly, the maximum value of the SOC deviation of the battery cell to be discharged is denoted as dSOC_dis_max, which is the absolute value of the maximum value of the SOC deviation of all battery cells, and can also be understood as the maximum value of the absolute value of the SOC deviation of all battery cells.

[0103] For example, in the application scenario of 32 battery cells, Figure 1 The maximum allowed excess SOP per 1 unit of SOC (i.e. the first ratio) corresponding to the additional chargeable output capability and the maximum value of the absolute value of the SOC deviation of 32 battery cells can be calculated by the following formula, denoted as dSOP_SOC_cha:

[0104] dSOP_SOC_cha=dSOP_cha_max / dSOC_cha_max

[0105] And the maximum allowed excess SOP per 1 unit of SOC (i.e. the second ratio) corresponding to the additional dischargeable output capability and the maximum value of the absolute value of the SOC deviation of 32 battery cells can be calculated by the following formula, denoted as dSOP_SOC_dis:

[0106] dSOP_SOC_dis=dSOP_dis_max / dSOC_dis_max

[0107] Wherein, dSOP_cha_max represents the additional chargeable output capability, and dSOP_dis_max represents the additional dischargeable output capability.

[0108] S705, based on the average of the work output of the energy storage battery system, the SOC deviation of the target battery unit, the superposition parameter, the first ratio and / or the second ratio, calculating the actual allocation output capability of the target battery unit; the superposition parameter is used to adjust the degree of output capability change rate.

[0109] In the embodiment of the application, the minimum value of the first ratio and / or the second ratio is taken, that is, if all the battery units of the energy storage battery system are charged, the first ratio is taken in the calculation of the actual allocation output capability, if all the battery units of the energy storage battery system are discharged, the second ratio is taken in the calculation of the actual allocation output capability, and if the battery units of the energy storage battery system are both charged and discharged, the minimum value of the first ratio and the second ratio is taken in the calculation of the actual allocation output capability, denoted as dSOP_SOC.

[0110] For example, on the basis of dSOP_SOC, the superposition parameter k is added, the superposition parameter k is a positive number not greater than 1, which is used to adjust the output capability change rate, and the actual allocation output capability actually allocated to the target battery unit is determined by the following formula:

[0111] P(i)=P_demand / n+dSOC(i)*dSOP_SOC*k

[0112] Wherein, P(i) represents the actual allocation output capability corresponding to the i-th target battery unit; dSOC(i) represents the SOC deviation of the i-th target battery unit; P_demand represents the work output of the energy storage battery system, n represents the number of battery units in the energy storage battery system; dSOP_SOC represents the minimum value of the first ratio and / or the second ratio; k represents the superposition parameter, k is a positive number not greater than 1.

[0113] For example, in the application scenario of Figure 1 , 32 battery units are discharged, it is determined that battery unit 1 is the target battery unit, by calculation, the SOC deviation of battery unit 1 is 60%, the work output of the energy storage battery system is discharge output capability, the discharge output capability is taken as an example of discharge power, then P_demand=160W, dSOP_SOC is 0.6, k is 0.5, then by the above formula, the actual allocation power P(1) of battery unit 1 can be obtained as P(1)=160 / 32+60%*0.6*0.5=5.18W.

[0114] It should be noted that the above values are only illustrative, and the specific values should be determined according to the actual situation, and the embodiment of the application does not make specific limitations.

[0115] By calculating the actual allocated output capacity allocated to the target battery unit by using the above formula, the calculation efficiency and the accuracy of the calculation are improved, and in the above formula, by increasing the superposition parameter k, the output capacity change rate can be adjusted in real time according to the application scene, and the flexibility is improved.

[0116] It can be understood that the embodiments of the application can also not increase the superposition parameter k, and the purpose of the application can also be achieved, but the degree of output capacity change rate, that is, the time required for the output capacity change, can be fast or slow, and the embodiments of the application do not make specific limitations.

[0117] S706, adjusting the SOC of the target battery unit according to the calculated actual allocated output capacity of the target battery unit.

[0118] For example, in the application scenario of Figure 1 If the calculated target battery unit is battery unit 1, the server 101 can issue an adjustment instruction according to the calculated actual allocated output capacity of the battery unit 1 to adjust the SOC of the battery unit 1.

[0119] It should be noted that the energy storage battery system adjustment method described in the application can be performed in real time, or can be executed at regular intervals, or only when charging, only when discharging, only when reactive, or other execution according to time and / or operating state, and the embodiments of the application do not make specific limitations. If the target battery unit is multiple, after the server issues the adjustment instruction, the multiple target battery units are adjusted in real time synchronously, and only the actual allocated output capacity of each target battery unit in the adjustment instruction can be different.

[0120] It can be understood that the battery unit described in the application can be a battery stack, a battery pack, a battery module, or a single battery cell, and the embodiments of the application do not make specific limitations.

[0121] Therefore, the energy storage battery system adjustment method proposed in the application can adjust the SOC of each battery unit in real time to balance as much as possible, so that the whole energy storage system is kept in the optimal state, the available output capacity and the power are maximized, and the energy storage battery system adjustment method can be applied in the case of simultaneous charging, discharging and reactive, the application scene is more, the error is reduced, and the accuracy of the adjustment is improved.

[0122] Optionally, the absolute value of the work output of the energy storage battery system is less than or equal to the sum of the absolute values of the maximum output capacities of the N battery units; the additional chargeable output capacity and / or the additional dischargeable output capacity are determined according to the maximum output capacities of the N battery units and the work output of the energy storage battery system, comprising:

[0123] determining the work output condition of the energy storage battery system according to the minimum value of absolute values of maximum output capacities allowed by the N battery units;

[0124] selecting the minimum value of maximum charging output capacities allowed by the N battery units as a first output capacity; and calculating a difference between the maximum charging output capacities allowed by the N battery units and an average value of the work output condition of the energy storage battery system to obtain a second output capacity;

[0125] determining whether the first output capacity is greater than the second output capacity, if yes, determining the second output capacity as the additional charging output capacity, if no, determining the first output capacity as the additional charging output capacity;

[0126] and / or, selecting the minimum value of maximum discharging output capacities allowed by the N battery units as a third output capacity; and calculating a difference between the maximum discharging output capacities allowed by the N battery units and an average value of the work output condition of the energy storage battery system to obtain a fourth output capacity;

[0127] determining whether the third output capacity is greater than the fourth output capacity, if yes, determining the fourth output capacity as the additional discharging output capacity, if no, determining the third output capacity as the additional discharging output capacity.

[0128] For example, in the application scenario of Figure 1 , the work output condition of the energy storage battery system can be determined according to the minimum value of absolute values of maximum output capacities allowed by the 32 battery units obtained by the server 101. If the work output condition of the energy storage battery system is a discharging output capacity, each of the 32 battery units can additionally charge on the basis of the average demand output capacity, and the additional charging output capacity can be taken as the minimum value of the maximum charging output capacities allowed by the 32 battery units. If the work output condition of the energy storage battery system is a charging output capacity, the additional charging output capacity of each of the 32 battery units is a difference between the absolute value of the maximum charging output capacity and the average value of the charging output capacity of the energy storage battery system. The minimum value of the above-mentioned additional charging output capacities is the actual additional charging output capacity allowed by each battery unit.

[0129] Similarly, if the work output of the energy storage battery system is charging output capability, the 32 battery units can be additionally discharged based on the average demand output capability, and the additional discharge output capability can be the minimum of the maximum discharge output capability of the 32 battery units; if the work output of the energy storage battery system is discharge output capability, the additional discharge output capability of the 32 battery units is the difference between the absolute value of the maximum discharge output capability and the average discharge output capability of the energy storage battery system. The minimum of the above-mentioned additional discharge output capability is the actual allowable additional discharge output capability of each battery unit.

[0130] Therefore, the application can calculate the actual allowable additional charging output capability and the actual allowable additional discharge output capability, consider the actual situation, and take the minimum value to make each battery unit applicable, gradually reduce the SOC difference within the actual capability range of each battery unit, and have a wide application range.

[0131] It should be noted that the output capability described in the embodiments of the application can be direct current side output capability, alternating current side output capability, or grid point output capability, and when calculating, the output capability needs to consider the AC / DC conversion efficiency, power conversion system (PCS) conversion efficiency, and wire loss. For example, taking the output capability as power as an example, when the SOP is the direct current side power reported by the BMS and the work output of the energy storage battery system is the alternating current grid point power, the EMS should consider the PCS conversion efficiency, AC / DC conversion efficiency, and power loss rate of the connection wire and electrical devices between the battery units when allocating power for the energy storage system.

[0132] Optionally, the charging and discharging state of the target battery unit to be adjusted is determined based on the SOC deviation of the N battery units, including:

[0133] It is determined whether the target battery unit needs to be charged or discharged based on the SOC deviation of the N battery units.

[0134] If the SOC deviation of the target battery unit is positive, it is determined that the target battery unit needs to be discharged, and if the SOC deviation of the target battery unit is negative, it is determined that the target battery unit needs to be charged.

[0135] For example, in the above-mentioned embodiments, the SOC deviation of the target battery unit is determined based on the SOC of the target battery unit and the SOC of the N battery units. Figure 1In the application scenario, the server 101 can determine whether the target battery cell needs to be charged or discharged according to the SOC deviation of the 32 battery cells. For example, the SOC deviations of the 32 battery cells are as follows: the SOC deviation of the battery cell 1 is -80%, the SOC deviation of the battery cell 2 is 70%, the SOC deviations of the battery cells 3 and 4 are both 11%, the SOC deviation of the battery cell 5 is 0%, the SOC deviations of the battery cells 6 and 7 are both -13%, the SOC deviation of the battery cell 8 is -50%, the SOC deviations of the battery cells 9-16 are all -9%, and the SOC deviations of the battery cells 17-32 are all 6%. It can be known that the battery cells 1, 6-16 all need to be charged, and the battery cells 2-4 and 17-32 all need to be discharged.

[0136] It can be understood that in the embodiments of the present application, the target battery cell to be adjusted can be determined according to the SOC deviation of the battery cell. That is, if the SOC deviation of the battery cell has a specific numerical value, it means that the battery cell needs to be adjusted, and is regarded as the target battery cell. If the SOC deviation of a certain battery cell is 0, the battery cell is not the target battery cell.

[0137] Therefore, the charging and discharging state of the target battery cell can be determined according to the positive and negative of the SOC deviation of the battery cell, and the processing rate is improved.

[0138] Optionally, the SOC of the target battery cell is adjusted according to the actual allocated output capacity of the target battery cell calculated, including:

[0139] The actual allocated output capacity of each target battery cell calculated is obtained.

[0140] The SOC of each target battery cell is adjusted according to the actual allocated output capacity of each target battery cell.

[0141] For example, in the application scenario, the SOC of the target battery cell is adjusted according to the actual allocated output capacity of the target battery cell calculated. Figure 1application scenarios, taking the output power as an example, if the server determines that the target battery units are battery units 1-4 and battery units 6-32, wherein battery units 1, battery units 6-16 all need to be charged, and battery units 2-4, battery units 17-32 all need to be discharged, the server needs to first obtain the actual allocated power of battery units 1-4 and battery units 6-32 calculated, and further, generate an adjustment instruction according to the actual allocated power corresponding to each target battery unit. The adjustment instruction is to allocate the corresponding actual allocated power to different target battery units for SOC adjustment, for example, battery unit 1 is allocated an actual allocated power of -10W, battery unit 2 is allocated an actual allocated power of 5W, etc., which are not listed here. Correspondingly, each target battery unit receives the adjustment instruction and synchronously performs SOC adjustment based on the received adjustment instruction.

[0142] It should be noted that the numerical value of the actual allocated power of the battery unit is only an example for illustration, and should be determined according to the actual situation.

[0143] Therefore, the target battery units can be synchronously adjusted in SOC according to the calculated actual allocated output power of the target battery units, thereby improving the adjustment rate.

[0144] Optionally, the method further comprises:

[0145] The system parameters of the energy storage battery system uploaded by the battery management system, or the system parameters of the energy storage battery system sent by the cloud, or the system parameters of the energy storage battery system input by the user, or the system parameters of the energy storage battery system calculated by the battery management system according to the SOC, the corresponding SOH and the battery power state SOP are obtained.

[0146] For example, in the application scenario of Figure 1 The battery management system 1 can collect the system parameters of battery units 1-16 and the battery management system 2 can collect the system parameters of battery units 17-32, and further, the system parameters of battery units 1-16 and battery units 17-32 can be uploaded to the server 101, so that the server 101 can obtain the system parameters of the energy storage battery system uploaded by the battery management system.

[0147] Optionally, in the application scenario of Figure 1 The cloud can also collect the system parameters of battery units 1-16 and battery units 17-32 in real time and send them to the server for processing, or the user can first collect the system parameters of battery units 1-16 and battery units 17-32, and further, input the above system parameters into the server for processing.

[0148] Optionally, in the application scenario of Figure 1In the application scenario of the energy storage system, the battery management system 1 can collect part of the system parameters of the battery units 1-16, calculate all the required parameters by using the part of the system parameters, for example, the SOC and the corresponding SOH and the battery power state SOP can be collected, further, the required work output of the energy storage system is calculated by using the SOP, the maximum power is calculated by using the SOC and the corresponding SOH, then the system parameters of the energy storage system required by the battery management system calculated by using the SOC and the corresponding SOH and the battery power state SOP can be obtained, and the SOC and the corresponding SOH and SOP can also be obtained.

[0149] It should be noted that the system parameters obtained by the embodiments of the present application can be uploaded in real time, can be uploaded every preset period, or can be a preset rated value, and the embodiments of the present application do not make specific limitations.

[0150] Therefore, the embodiments of the present application have wide application range, multiple application scenarios, and convenient application.

[0151] In the foregoing embodiments, the energy storage battery system adjustment method provided by the embodiments of the present application is introduced, and in order to realize each function in the method provided by the embodiments of the present application, the electronic device as an execution subject can include a hardware structure and / or a software module, and each function is realized in the form of a hardware structure, a software module, or a hardware structure plus a software module. Whether a certain function in the foregoing functions is executed in the form of a hardware structure, a software module, or a hardware structure plus a software module depends on the specific application of the technical solution and the design constraint conditions.

[0152] For example, Figure 8 The structure diagram of an energy storage battery system adjustment device provided by the embodiments of the present application is shown in FIG. 8. Figure 8 As shown in FIG. 8, the device includes an acquisition module 810, a determination module 820, a first calculation module 830, a second calculation module 840, a third calculation module 850, and an adjustment module 860.

[0153] The acquisition module 810 is configured to acquire system parameters of an energy storage battery system; the energy storage battery system includes N battery units, and the system parameters include a battery state of charge SOC of the N battery units and a corresponding battery state of health SOH, a maximum output capacity allowed by the N battery units, and a work output condition of the energy storage battery system; the maximum output capacity includes a maximum charging output capacity and / or a maximum discharging output capacity; and the work output condition includes a charging output capacity or a discharging output capacity.

[0154] The determining module 820 is configured to determine an additional chargeable output capability and / or an additional dischargeable output capability according to the maximum output capability allowed by the N battery units and the working output condition of the energy storage battery system.

[0155] The first calculating module 830 is configured to calculate a difference between the SOC of the N battery units and a preset target threshold, calculate a SOC deviation of the N battery units according to the difference and the SOH corresponding to the N battery units, and determine a target battery unit to be adjusted based on the SOC deviation of the N battery units.

[0156] The second calculating module 840 is configured to calculate a first ratio of a maximum value between the absolute value of the SOC deviation of the N battery units and the additional chargeable output capability and the absolute value of the working output condition of the energy storage battery system, and / or calculate a second ratio of the maximum value and the additional dischargeable output capability.

[0157] The third calculating module 850 is configured to calculate an actual allocated output capability of the target battery unit based on the average value of the working output condition of the energy storage battery system, the SOC deviation of the target battery unit, a superposition parameter, the first ratio and / or the second ratio, the superposition parameter being used to adjust the degree of output capability change rate.

[0158] The adjusting module 860 is configured to perform SOC adjustment on the target battery unit according to the calculated actual allocated output capability of the target battery unit.

[0159] Optionally, the absolute value of the working output condition of the energy storage battery system is less than or equal to the sum of the absolute values of the maximum output capabilities allowed by the N battery units.

[0160] The determining module 820 is configured to determine the working output condition of the energy storage battery system according to the minimum value of the absolute values of the maximum output capabilities allowed by the N battery units.

[0161] The first output capability is selected as the minimum value of the maximum chargeable output capabilities allowed by the N battery units, and a second output capability is calculated as a difference between the average value of the maximum chargeable output capabilities allowed by the N battery units and the working output condition of the energy storage battery system.

[0162] It is determined whether the first output capability is greater than the second output capability, if yes, the second output capability is determined as the additional chargeable output capability, and if no, the first output capability is determined as the additional chargeable output capability.

[0163] And / or, selecting the minimum value of the maximum discharge output capabilities of the N battery units as a third output capability; and calculating the difference between the maximum discharge output capabilities of the N battery units and the average of the work output conditions of the energy storage battery system to obtain a fourth output capability;

[0164] Determining whether the third output capability is greater than the fourth output capability, if yes, determining the fourth output capability as the additional dischargeable output capability, if no, determining the third output capability as the additional dischargeable output capability.

[0165] Optionally, the first calculation module 830 is specifically configured to:

[0166] Determining whether the target battery unit needs to be charged or discharged based on the SOC deviation of the N battery units;

[0167] If the SOC deviation of the target battery unit is positive, it is determined that the target battery unit needs to be discharged, and if the SOC deviation of the target battery unit is negative, it is determined that the target battery unit needs to be charged.

[0168] Optionally, the adjustment module 860 is specifically configured to:

[0169] Obtaining the actual allocation output capability of each target battery unit calculated;

[0170] Synchronously adjusting the SOC of each target battery unit according to the actual allocation output capability of each target battery unit.

[0171] Optionally, the actual allocation output capability of the target battery unit is determined by the following formula:

[0172] P(i)=P_demand / n+dSOC(i)*dSOP_SOC*k

[0173] Wherein, P(i) represents the actual allocation output capability corresponding to the i-th target battery unit; dSOC(i) represents the SOC deviation of the i-th target battery unit; P_demand represents the work output condition of the energy storage battery system; n represents the number of battery units in the energy storage battery system; dSOP_SOC represents the minimum value of the first ratio and / or the second ratio; k represents a superposition parameter, k is a positive number not greater than 1.

[0174] Optionally, the acquisition module 810 is further configured to:

[0175] The system parameters of the energy storage battery system uploaded by the battery management system are acquired, or the system parameters of the energy storage battery system sent by the cloud are acquired, or the system parameters of the energy storage battery system input by the user are acquired, or the system parameters of the energy storage battery system calculated by the battery management system according to the SOC, the corresponding SOH and the battery power state SOP are acquired.

[0176] The specific implementation principles and effects of the energy storage battery system adjustment device provided by the embodiments of the present application can be referred to the corresponding related descriptions and effects of the above embodiments, which will not be repeated here.

[0177] The embodiments of the present application also provide a structural schematic diagram of an electronic device, Figure 9 As shown in the structural schematic diagram of the electronic device provided by the embodiments of the present application, Figure 9 The electronic device can include a processor 902 and a memory 901 in communication with the processor; the memory 901 stores a computer program; the processor 902 executes the computer program stored in the memory 901, so that the processor 902 executes the method described in any of the above embodiments.

[0178] The memory 901 and the processor 902 can be connected through a bus 903.

[0179] The present application also provides an energy storage battery system, which includes a battery management system, an energy management system and an electronic device as Figure 9 described above.

[0180] The embodiments of the present application also provide a computer readable storage medium, which stores computer program execution instructions, and the computer program execution instructions are executed by a processor to implement the energy storage battery system adjustment method in any of the above embodiments of the present application.

[0181] The embodiments of the present application also provide a chip for executing the energy storage battery system adjustment method executed by the electronic device in any of the above embodiments of the present application.

[0182] The embodiments of the present application also provide a computer program product, which includes a computer program, and the computer program can implement the energy storage battery system adjustment method executed by the electronic device in any of the above embodiments of the present application when executed by a processor.

[0183] In several embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented by other manners. For example, the apparatus embodiments described above are merely illustrative, for example, the division of the modules is merely a logical function division, and actual implementation can have another division manner, for example, a plurality of modules or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the displayed or discussed modules can be indirect coupling or communication connection through some interfaces, apparatuses or modules, and can be electrical, mechanical or other forms.

[0184] The modules illustrated as separate components can or can not be physically separated, and the components illustrated as modules can or can not be physical units, that is, can be located in one place, or can be distributed to a plurality of network units. Part or all of the modules can be selected to implement the embodiments of the present application according to actual needs.

[0185] In addition, the function modules in each embodiment of the present application can be integrated in one processing unit, or each module can be physically present alone, or two or more modules can be integrated in one unit. The unit of the above-mentioned modules can be realized in the form of hardware or in the form of hardware plus software function unit.

[0186] The integrated modules realized in the form of software function modules can be stored in a computer readable storage medium. The software function modules stored in the storage medium include a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to execute part of the steps of the method described in each embodiment of the present application.

[0187] It should be understood that the processor can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor. The steps of the method disclosed in the present application can be directly embodied as hardware processor execution or executed by a combination of hardware and software modules in the processor.

[0188] The memory can include a high-speed random access memory (RAM) and can also include a non-volatile memory (NVM), such as at least one disk memory, and can also be a U disk, a mobile hard disk, a read-only memory, a magnetic disk or an optical disk, etc.

[0189] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For the sake of representation, the bus in the drawings of the present application does not limit to only one bus or one type of bus.

[0190] The storage medium described above can be realized by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk or optical disk. The storage medium can be any available medium that can be accessed by a general-purpose or special-purpose computer.

[0191] An exemplary storage medium is coupled to the processor, so that the processor can read information from the storage medium and can write information to the storage medium. Of course, the storage medium can also be an integral part of the processor. The processor and the storage medium can be located in an Application Specific Integrated Circuit (ASIC). Of course, the processor and the storage medium can also exist as discrete components in an electronic device or a host device.

[0192] The above is only a specific implementation manner of the embodiments of the present application, but the protection scope of the embodiments of the present application is not limited to this. Any change or replacement within the technical scope disclosed by the embodiments of the present application should be covered in the protection scope of the embodiments of the present application. Therefore, the protection scope of the embodiments of the present application should be subject to the protection scope of the claims.

Claims

1. A method for adjusting an energy storage battery system, characterized in that, The method includes: Obtain system parameters of the energy storage battery system; the energy storage battery system includes N battery cells, and the system parameters include: the state of charge (SOC) of the N battery cells and their corresponding state of health (SOH), the maximum allowable output capacity of the N battery cells, and the power output status of the energy storage battery system; the maximum output capacity includes the maximum charging output capacity and / or the maximum discharging output capacity; the power output status includes the charging output capacity or the discharging output capacity. The additional charging capacity and / or additional discharging capacity are determined based on the maximum allowable output capacity of the N battery cells and the power output of the energy storage battery system. Calculate the difference between the SOC of N battery cells and a preset target threshold. Based on the difference and the SOH corresponding to the N battery cells, calculate the SOC deviation of the N battery cells. Based on the SOC deviation of the N battery cells, determine the charge / discharge state of the target battery cell to be adjusted. Calculate a first ratio of the maximum absolute value of the additional chargeable output capacity to the SOC deviation of the N battery cells, and / or calculate a second ratio of the additional dischargeable output capacity to the maximum value. Based on the average power output of the energy storage battery system, the SOC deviation of the target battery cell, the superposition parameter, the first ratio and / or the second ratio, the actual allocated power output capacity of the target battery cell is calculated; the superposition parameter is used to adjust the degree of change in power output capacity. The SOC of the target battery cell is adjusted based on the calculated actual power output capacity of the target battery cell.

2. The method according to claim 1, characterized in that, The absolute value of the power output of the energy storage battery system is less than or equal to the sum of the absolute values ​​of the maximum allowable power output of the N battery cells; the additional chargeable power output and / or additional dischargeable power output are determined based on the maximum allowable power output of the N battery cells and the power output of the energy storage battery system, including: The power output of the energy storage battery system is determined based on the minimum absolute value of the maximum allowable power output of the N battery cells. The minimum value among the maximum allowable charging output of N battery cells is selected as the first output capacity; and the difference between the maximum allowable charging output of N battery cells and the average value of the power output of the energy storage battery system is calculated to obtain the second output capacity. Determine whether the first output capacity is greater than the second output capacity. If yes, determine that the second output capacity is an output capacity that can be additionally charged. If no, determine that the first output capacity is an output capacity that can be additionally charged. And / or, select the minimum value among the maximum allowable discharge power of N battery cells as the third power capacity; and calculate the difference between the maximum allowable discharge power of N battery cells and the average value of the power output of the energy storage battery system to obtain the fourth power capacity. Determine whether the third output capability is greater than the fourth output capability. If yes, then determine that the fourth output capability is an output capability that can discharge additionally. If no, then determine that the third output capability is an output capability that can discharge additionally.

3. The method according to claim 1, characterized in that, Determining the charge / discharge state of the target battery cell to be adjusted based on the SOC deviation of the N battery cells includes: Based on the SOC deviation of the N battery cells, determine whether the target battery cell needs to be charged or discharged; If the SOC deviation of the target battery cell is positive, it is determined that the target battery cell needs to be discharged; if the SOC deviation of the target battery cell is negative, it is determined that the target battery cell needs to be charged.

4. The method according to claim 3, characterized in that, Based on the calculated actual power output capacity of the target battery cell, the SOC of the target battery cell is adjusted, including: Obtain the calculated actual power output capability of each target battery cell; Based on the actual power output capacity of each target battery cell, the SOC of each target battery cell is adjusted synchronously.

5. The method according to claim 1, characterized in that, The actual power output capability of the target battery cell is determined by the following formula: P(i)=P_demand / n+dSOC(i)*dSOP_SOC*k Where P(i) represents the actual allocated power output capability corresponding to the i-th target battery cell; dSOC(i) represents the SOC deviation of the i-th target battery cell; P_demand represents the power output of the energy storage battery system; n represents the number of battery cells in the energy storage battery system; dSOP-SOC represents the minimum value of the first ratio and / or the second ratio; k represents the superposition parameter, where k is a positive number not greater than 1.

6. The method according to any one of claims 1-5, characterized in that, The method further includes: The system parameters of the energy storage battery system can be obtained from the battery management system, or from the cloud, or from the user-inputted system parameters, or from the system parameters calculated by the battery management system based on the SOC and its corresponding SOH and SOP.

7. An adjustment device for an energy storage battery system, characterized in that, The device includes: The acquisition module is used to acquire system parameters of the energy storage battery system. The energy storage battery system includes N battery cells, and the system parameters include: the state of charge (SOC) of the N battery cells and their corresponding state of health (SOH), the maximum allowable output capacity of the N battery cells, and the power output status of the energy storage battery system. The maximum output capacity includes the maximum charging output capacity and / or the maximum discharging output capacity. The power output status includes the charging output capacity or the discharging output capacity. The determining module is used to determine the additional charging capacity and / or additional discharging capacity based on the maximum allowable output capacity of the N battery cells and the power output of the energy storage battery system. The first calculation module is used to calculate the difference between the SOC of N battery cells and the preset target threshold, calculate the SOC deviation of N battery cells based on the difference and the SOH corresponding to the N battery cells, and determine the charge and discharge state of the target battery cell to be adjusted based on the SOC deviation of the N battery cells. The second calculation module is used to calculate a first ratio of the maximum value of the absolute values ​​of the additional chargeable output capacity and the SOC deviation of the N battery cells to the additional value, and / or to calculate a second ratio of the additional dischargeable output capacity to the maximum value. The third calculation module is used to calculate the actual allocated output capacity of the target battery cell based on the average power output of the energy storage battery system, the SOC deviation of the target battery cell, the superposition parameter, the first ratio and / or the second ratio; the superposition parameter is used to adjust the degree of change in output capacity. The adjustment module is used to adjust the SOC of the target battery cell based on the calculated actual power output capability of the target battery cell.

8. An electronic device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method as described in any one of claims 1-6.

9. An energy storage battery system, characterized in that, include: Battery management system, energy management system, and electronic device as described in claim 8.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the energy storage battery system adjustment method as described in any one of claims 1-6.

11. A computer program, characterized in that, Includes program code that, when the computer runs the computer program, performs the method as described in any one of claims 1-6.

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