CN114498697A

CN114498697A - Energy storage battery system adjusting method and device, electronic equipment and system

Info

Publication number: CN114498697A
Application number: CN202111598505.9A
Authority: CN
Inventors: 陈元璐; 何志超; 王垒; 吕喆; 钱昊
Original assignee: Beijing Hyperstrong Technology Co Ltd
Current assignee: Beijing Hyperstrong Technology Co Ltd
Priority date: 2021-12-24
Filing date: 2021-12-24
Publication date: 2022-05-13

Abstract

The application provides an energy storage battery system adjusting method, an energy storage battery system adjusting device, electronic equipment and an energy storage battery system adjusting system, wherein the method comprises the following steps: acquiring system parameters of an energy storage battery system; determining the output capacity capable of being additionally charged or the output capacity capable of being additionally discharged according to the maximum output capacity allowed by the N battery units and the working output condition of the system; calculating difference values of the N SOCs and a preset target threshold value, calculating N SOC deviations according to the difference values and the N SOHs, and determining a target battery unit; calculating a first ratio of the additionally chargeable output capacity to a maximum value among absolute values of the N SOC deviations, and/or calculating a second ratio of the additionally dischargeable output capacity to the maximum value; and calculating the actual distribution output capacity of the target battery unit based on the mean value of the work output condition of the system, the SOC deviation of the target battery unit, the superposition parameter, the first ratio and/or the second ratio, and adjusting the target battery unit based on the actual distribution output capacity, so that the error is reduced, and the accuracy is improved.

Description

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

Technical Field

The present disclosure relates to the field of energy storage technologies, and in particular, to a method and an apparatus for adjusting an energy storage battery system, an electronic device, and an energy storage battery system.

Background

With the development of energy storage technology, an energy storage system plays an increasingly important role as an important component of a smart power grid and a micro-grid system. An energy storage system often contains multiple battery cells. When there is a difference between the battery cells, the cores thereof are represented by differences in SOC (State Of Charge), SOH (State Of Health), SOP (State Of Power), which may result in a reduction in the capacity in actual operation.

In the prior art, generally, parameters such as SOC, rated power, rated current, charging efficiency, discharging efficiency, and the like of an energy storage system are obtained, working states of each battery unit are set, further, algorithm control such as a constrained algorithm, a consistency algorithm, a genetic algorithm, and the like is utilized to calculate a power/current correction amount, and the allocated power/current is corrected to adjust the SOC of the battery unit, so as to achieve state of charge balance.

However, the above method has limited application scenarios, and cannot be applied to the cases of charging, discharging, and reactive power at the same time, and when adjusting the SOC using the power/current, other parameters of each battery cell are not considered sufficiently, for example, the SOP of each battery cell, the SOH of each battery cell, and an error in practice are not considered, so that the accuracy of the adjustment is low.

Disclosure of Invention

The application provides an energy storage battery system adjusting method, an energy storage battery system adjusting device, electronic equipment and an energy storage battery system adjusting system, which can be applied to the conditions of charging, discharging and reactive power, not only consider a plurality of relevant parameters, but also consider errors in practice, and improve the accuracy of adjustment.

In a first aspect, the present application provides a method for adjusting an energy storage battery system, where the method includes:

acquiring system parameters of an energy storage battery system; the energy storage battery system comprises N battery units, and the system parameters comprise: the battery state of charge SOC of the N battery units, the corresponding battery state of health SOH, the maximum output capacity allowed by the N battery units and the working output condition of the energy storage battery system; the maximum output capacity comprises a maximum charging output capacity and/or a maximum discharging output capacity; the work output condition comprises a charging output capacity or a discharging output capacity;

determining the additionally chargeable output capacity and/or the additionally dischargeable 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;

calculating a difference value between the SOC of the N battery units and a preset target threshold value, calculating SOC deviation of the N battery units according to the difference value and SOH corresponding to the N battery units, and determining the charging and discharging state of the target battery unit to be adjusted based on the SOC deviation of the N battery units;

calculating a first ratio of the additionally chargeable output capability to a maximum value among absolute values of SOC deviations of the N battery cells, and/or calculating a second ratio of the additionally dischargeable output capability to the maximum value;

calculating the actual distribution output capacity of the target battery unit based on the mean value of the work output conditions of the energy storage battery system, the SOC deviation of the target battery unit, the superposition parameters, the first ratio and/or the second ratio; the superposition parameter is used for adjusting the degree of the output capacity change rate;

and carrying out SOC adjustment on the target battery unit according to the calculated actual distribution output capacity of the target battery unit.

Optionally, the absolute value of the acting output condition of the energy storage battery system is less than or equal to the sum of the absolute values of the maximum output capacities allowed by the N battery units; determining the additionally chargeable output capacity and/or the additionally dischargeable 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, wherein the determining comprises the following steps:

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

selecting the minimum value of the maximum charging output capacities allowed by the N battery units as a first output capacity; calculating the difference between the maximum charging output capacity allowed by the N battery units and the mean value of the working output conditions of the energy storage battery system to obtain a second output capacity;

judging whether the first output capacity is larger than the second output capacity, if so, determining that the second output capacity is the output capacity capable of being additionally charged, and if not, determining that the first output capacity is the output capacity capable of being additionally charged;

and/or selecting the minimum value in the maximum discharge output capacities allowed by the N battery units as a third output capacity; calculating the difference between the maximum discharge output capacity allowed by the N battery units and the mean value of the work output conditions of the energy storage battery system to obtain a fourth output capacity;

and judging whether the third output capacity is larger than the fourth output capacity, if so, determining that the fourth output capacity is the output capacity capable of extra discharging, and if not, determining that the third output capacity is the output capacity capable of extra discharging.

Optionally, determining the charge-discharge state of the target battery cell to be adjusted based on the SOC deviation of the N battery cells includes:

judging whether a target battery unit needs to be charged or discharged based on the SOC deviations of the N battery units;

and if the SOC deviation of the target battery unit is a positive number, determining that the target battery unit needs to be discharged, and if the SOC deviation of the target battery unit is a negative number, determining that the target battery unit needs to be charged.

Optionally, the SOC adjustment of the target battery unit according to the calculated actual distributed output capacity of the target battery unit includes:

acquiring the calculated actual distribution output capacity of each target battery unit;

and synchronously carrying out SOC adjustment on the corresponding target battery units according to the actual distribution output capacity of each target battery unit.

Optionally, the actual distributed output capacity of the target battery cell is determined by the following formula:

P(i)＝P_demand/n+dSOC(i)*dSOP_SOC*k

wherein p (i) represents the actual distributed output capacity corresponding to the ith target battery cell; dsoc (i) represents the ith target cell SOC deviation; p _ demand represents the acting output condition of the energy storage battery system, and n represents the number of battery units in the energy storage battery system; dSOP _ SOC represents the minimum of the first ratio and/or the second ratio; k represents a superposition parameter, and k is a positive number not greater than 1.

Optionally, the method further includes:

the method comprises the steps of obtaining 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 a cloud end, or obtaining the system parameters of the energy storage battery system input by a 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.

In a second aspect, the present application further provides an energy storage battery system adjustment apparatus, the apparatus comprising:

the acquisition module is used for acquiring system parameters of the energy storage battery system; the energy storage battery system comprises N battery units, and the system parameters comprise: the battery state of charge SOC of the N battery units, the corresponding battery state of health SOH, the maximum output capacity allowed by the N battery units and the working output condition of the energy storage battery system; the maximum output capacity comprises a maximum charging output capacity and/or a maximum discharging output capacity; the work output condition comprises a charging output capacity or a discharging output capacity;

the determining module is used for determining the additionally chargeable output capacity and/or the additionally dischargeable 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;

the first calculation module is used for calculating the difference value between the SOC of the N battery units and a preset target threshold value, calculating the SOC deviation of the N battery units according to the difference value and the SOH corresponding to the N battery units, and determining the charging and discharging state of the target battery unit to be adjusted based on the SOC deviation of the N battery units;

a second calculation module for calculating a first ratio of a maximum value of the additionally chargeable capacity to absolute values of SOC deviations of the N battery cells, and/or calculating a second ratio of the additionally dischargeable capacity to the maximum value;

the third calculation module is used for calculating the actual distribution output capacity of the target battery unit based on the mean value of the work output conditions 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 superposition parameter is used for adjusting the degree of the output capacity change rate;

and the adjusting module is used for carrying out SOC adjustment on the target battery unit according to the calculated actual distribution output capacity of the target battery unit.

In a third aspect, the present application further provides an electronic device, including: a processor, and a memory communicatively coupled to the processor;

the memory stores computer-executable instructions;

the processor executes computer-executable instructions stored by the memory to implement the method of any of the first aspects.

In a fourth aspect, the present application further provides an energy storage battery system, including: a battery management system, an energy management system and an electronic device as described in the third aspect.

In a fifth aspect, the present application further provides a computer-readable storage medium storing computer-executable instructions, which when executed by a processor, are configured to implement the energy storage battery system adjustment method according to any one of the first aspect.

In a sixth aspect, the present application also provides a computer program comprising program code means for performing the method according to any one of the first aspect when said computer program is run by a computer.

In summary, the present application provides a method, an apparatus, an electronic device, and a system for adjusting an energy storage battery system, where the method can obtain system parameters of the energy storage battery system; the energy storage battery system comprises N battery units, and system parameters comprise: the battery state of charge SOC of the N battery units, the corresponding battery state of health SOH, the maximum output capacity allowed by the N battery units and the working output condition of the energy storage battery system; the maximum output capacity comprises a maximum charge output capacity and/or a maximum discharge output capacity; the work output condition comprises a charging output capacity or a discharging output capacity; furthermore, the additionally chargeable output capacity and/or the additionally dischargeable 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, a difference between the SOC of the N battery cells and a preset target threshold may be calculated, and SOC deviations of the N battery cells may be calculated according to the difference and SOHs corresponding to the N battery cells, where the SOC deviations may determine a charge-discharge state of the target battery cell to be adjusted; further, calculating a first ratio of the additionally chargeable capacity to a maximum value among absolute values of SOC deviations of the N battery cells, and/or calculating a second ratio of the additionally dischargeable capacity to the maximum value; calculating the actual distribution output capacity of the target battery unit based on the mean value of the work output conditions of the energy storage battery system, the SOC deviation of the target battery unit, the superposition parameters, the first ratio and/or the second ratio; and performing SOC adjustment on the target battery unit according to the calculated actual distribution output capacity of the target battery unit. Therefore, the method can be applied to the conditions of charging, discharging and reactive power, not only a plurality of related parameters are considered, but also the error in practice is considered, and the accuracy of adjustment is improved.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.

Fig. 1 is a schematic view of an application scenario provided in an embodiment of the present application;

FIG. 2 is a schematic diagram of a frame structure of an energy storage system SOC auto-correction system;

FIG. 3 is a schematic diagram of a frame structure of a multi-stage SOC balance control system of an energy storage system;

FIG. 4 is a flow chart of energy management for a light storage system;

FIG. 5 is a flowchart of an energy storage system management and control method based on global energy efficiency optimization and SOC adaptation;

FIG. 6 is a flow chart of a method of generating a power correction;

fig. 7 is a schematic flowchart of an energy storage battery system adjustment method according to an embodiment of the present disclosure;

fig. 8 is a schematic structural diagram of an energy storage battery system adjustment apparatus according to an embodiment of the present disclosure;

fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

With the above figures, there are shown specific embodiments of the present application, which will be described in more detail below. These drawings and written description are not intended to limit the scope of the inventive concepts in any manner, but rather to illustrate the inventive concepts to those skilled in the art by reference to specific embodiments.

Detailed Description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

In order to facilitate clear description of technical solutions of the embodiments of the present application, in the embodiments of the present application, words such as "first" and "second" are used to distinguish identical items or similar items with substantially the same functions and actions. For example, the first device and the second device are only used for distinguishing different devices, and the sequence order thereof is not limited. Those skilled in the art will appreciate that the terms "first," "second," etc. do not denote any order or quantity, nor do the terms "first," "second," etc. denote any order or importance.

It is noted that, in the present application, words such as "exemplary" or "for example" are used to mean exemplary, illustrative, or descriptive. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.

In the present application, "at least one" means one or more, "a plurality" means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone, wherein A and B can be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of the singular or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or multiple.

Embodiments of the present application will be described below with reference to the accompanying drawings. Fig. 1 is a schematic view of an application scenario provided in an embodiment of the present application, and the energy storage battery system adjustment method provided in the present application may be applied to the application scenario shown in fig. 1. The application scenario includes: server 101, battery management system 1, battery management system 2, battery units 1-16, and battery units 17-32; wherein, battery management system 1 can manage and maintain battery units 1-16, and battery management system 2 can manage and maintain battery units 17-32, taking battery unit 1-16 managed by battery management system 1 as an example, battery unit 1, battery unit 2, battery unit 3, and battery unit 4 are located at level 1, and similarly, battery units 5-8 are also located at level 1, battery units 9-12 are also located at level 1, battery units 15-16 are also located at level 1, while battery units 1-4, battery units 5-8, battery units 9-12, and battery units 13-16 are located at level 2, battery units 1-8 and battery units 9-16 are located at level 3, level 3 is higher than level 2, and level 2 is higher than level 1. The battery management system 2 manages battery cells 17-32 similar to the battery cells 1-16 managed by the battery management system 1 and will not be described in detail herein.

The battery management system 1 can collect and store the system parameters of the battery units 1 to 16 in real time, and similarly, the battery management system 2 can collect and store the system parameters of the battery units 17 to 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 correspondingly, the server 101 can acquire and process the system parameters uploaded by the battery management system 1 and the battery management system 2.

It should be noted that, one energy storage battery system may include a plurality of battery management systems, and one battery management system may manage a plurality of battery units, and the embodiment of the present application does not specifically limit the number of battery management systems included in one energy storage battery system and the number of battery units managed by any one battery management system.

In a possible implementation manner, the battery management unit may be processed by an energy storage system SOC Automatic correction system, fig. 2 is a schematic diagram of a frame structure of the energy storage system SOC Automatic correction system, and as shown in fig. 2, 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 comprises 4 Battery Management Systems (BMS), namely BMS-1 to BMS-4, the execution layer comprises 4 energy storage converters (Power Conversion systems, PCS for short) and centralized control equipment (KQ), the 4 PCS are PCS-1 to PCS-4, the centralized control equipment is in communication connection with each PCS, each PCS is in communication connection with one BMS, the AGC control layer comprises an AGC, and the AGC and the KQ are in communication connection.

Specifically, the AGC control layer includes an AGC; the execution layer comprises KQ, PCS-1, PCS-2, PCS-3 and PCS-4; the stack management layer includes BMS-1, BMS-2, BMS-3 and BMS-4. First, BMS-1 to BMS-4 respectively obtain their own SOC deviation amount, and then send the SOC deviation amount to their respective PCS, for example, the SOC deviation amount sent by BMS-1 to PCS-1, and accordingly, each PCS receives the SOC deviation amount sent by its corresponding BMS and sends the SOC deviation amount to the central control device KQ for sorting processing to obtain the maximum deviation amount, and sends the generated correction control command to the target battery management system corresponding to the maximum deviation amount through the PCS to execute the correction control command, thereby achieving the purpose of correction.

It should be noted that the AGC is configured to receive a frequency modulation power command and send the frequency modulation power command to the KQ.

However, the method cannot dynamically allocate the preset SOC threshold in real time, and the available application scenarios are limited.

In a possible implementation manner, the battery management unit may be processed by an energy storage system multi-level SOC equalization control system, fig. 3 is a schematic diagram of a frame structure of the energy storage system multi-level SOC equalization control system, and as shown in fig. 3, the energy storage system multi-level SOC equalization control system includes an AGC control system layer, an energy storage monitoring system layer, a middle voltage box system layer, and a battery box system layer. The battery box system layer comprises 4 battery box systems, namely KQ 1-KQ 4, PCS 1-1-PCS 1-4, PCS 2-1-PCS 2-4, PCS 3-1-PCS 3-4 and PCS 4-1-PCS 4-4, wherein KQ1 is connected with PCS 1-1-PCS 1-4, and KQ 2-KQ 4 are similar to KQ1, and are not described herein again, and each battery box system comprises 4 battery management systems, namely BMS 1-1-BMS 1-4, BMS 2-1-BMS 2-4, BMS 3-1-BMS 3-4 and BMS 4-1-BMS 4-4.

Specifically, 4 battery management systems of any one of the battery boxes respectively obtain the corresponding SOC, and calculate an average value of the 4 battery management systems, and further, one end of the energy storage monitoring system layer is connected with the medium voltage box system layer, and the other end of the energy storage monitoring system layer is connected with the AGC control system layer; and when the received power control instruction is a non-full power instruction, the energy storage monitoring system layer adjusts according to the average value of the battery box so as to achieve balance.

However, the above method adjusts the in-box power balance by setting the average value of the balance target SOC, and other target values cannot be set, and when the SOC difference is reduced, the set SOC target has limitations, and is not comprehensive and accurate.

In a possible implementation manner, taking the light storage system energy management battery unit as an example, fig. 4 is a flowchart of light storage system energy management, as shown in fig. 4, step 1: acquiring photovoltaic power generation power characteristics, setting an initial state of an energy storage system, and executing the step 2; step 2: calculating the fluctuation amount and the fluctuation rate of the photovoltaic power generation power of the photovoltaic power station at the current moment, judging whether the fluctuation rate exceeds the installed capacity by 10%/min or not when power exists, if so, executing the step 3, and if not, stopping executing; and step 3: calculating the overall output condition of the energy storage system, determining a constraint parameter and a target function coefficient, and executing the step 4; and 4, step 4: and solving an objective function (namely a model optimal solution) by adopting a genetic algorithm, executing a charging and discharging control strategy of the energy storage power station according to the objective function, and redistributing charging and discharging power.

However, the above-described equalization adjustment is performed only in the active state, and is not performed in the reactive state, and when the power adjustment SOC is used, consideration of relevant parameters affecting each battery cell is insufficient, and when the equalization adjustment is performed, the power state of each battery pack matches the total active power, that is: when the active power is charged, the power of each battery pack is charged; when the active power is discharged, the power of each battery pack is discharged, and the battery packs cannot be applied to the conditions of simultaneous charging, discharging and reactive power.

In a possible implementation manner, fig. 5 is a flowchart of an energy storage system management and control method based on global energy efficiency optimization and SOC adaptation, as shown in fig. 5, in S101, the operating states of each battery device are set based on the remaining power condition of each battery device in a certain battery substation and the rated power of each battery device, where the operating states include an operation-in state and an operation-out state; in S102, responding to the obtained total power instruction value, performing power task allocation on a certain battery device which is put into operation in at least one battery substation by taking the overall energy efficiency maximization of the multi-battery energy storage system as an optimization target, so as to obtain a power optimization value of the certain battery device; in S103, based on the remaining capacity of a certain battery device, the allocated power task is modified to obtain a power adjustment value of the certain battery device; in S104, if the multi-battery energy storage system outputs or absorbs power to the power grid, a minimum absolute value of the power optimization value of a certain battery device, the power adjustment value of a certain battery device, and the rated power value of a certain battery device is respectively selected as a power instruction of a certain battery device. And regulating and controlling the energy storage system according to the power instruction.

However, in the above method, only the remaining capacity condition of each battery device and the rated power of each battery device are considered when allocating power, and it is considered that the allowable working power at all times is the rated power, and the difference of the allowable working power in real time is not considered, so that the adjustment scheme cannot effectively meet the required power, and an error still exists after the adjustment.

In a possible implementation manner, fig. 6 is a flowchart of a power correction amount generation method, as shown in fig. 6, the method includes the following steps: step 1: initializing a system, judging whether the updating time is the updating time, if so, executing the step 2, and if not, directly outputting the power correction quantity; step 2: communicating with the adjacent node (namely the adjacent energy storage unit), acquiring the current SOC value of the adjacent node, and calculating the ideal state quantity (namely s) at the next moment_iK +1), the amount of self-power change (i.e. Δ P)_i-i) And the amount of cross power change (i.e. Δ P)_i-j) Executing the step 3; and step 3: communicating with adjacent energy storage units, transmitting the mutual power conversion amount of the unit, correspondingly, receiving the mutual power conversion amount of each adjacent unit by the adjacent energy storage units, and calculating the power correction amount (namely delta P)_i) And further, each energy storage unit superposes the power correction quantity on the primary distributed power, updates and outputs the power correction quantity, and further realizes SOC balance.

However, the above method is directed to energy storage units capable of communicating with each other, and power is allocated to each other to achieve SOC equalization, so that when the energy storage units cannot communicate with each other, equalization cannot be performed from a higher hierarchy.

In a possible implementation manner, system parameters may also be set, for example, the system parameters may include a rated power, a charging efficiency, a discharging efficiency, and the like of each energy storage, and further, by using a fully distributed control method of one-way communication modeling, a total control instruction may be completed by performing communication between the energy storages, and the SOC may be kept relatively balanced during charging and discharging.

However, this method can perform the equalization adjustment only in the active state, and when the SOC is adjusted by the power, the adjustment accuracy is low without considering the SOP of each battery cell and the error in practice.

In view of the problems in the prior art, the present application provides an energy storage battery system adjusting method, which can obtain a large number of relevant parameters affecting each battery unit, such as SOC, SOH, the maximum output capacity allowed by the battery unit, the work output condition of the energy storage battery system, and the like, calculate the SOC deviation of the battery unit according to the obtained parameters and the set threshold, determine the target battery unit to be adjusted, calculate the actual distribution output capacity of the target battery unit by adding the superposition parameters and designing an algorithm, and perform SOC adjustment on the target battery unit, wherein the output capacity can be power or current, so that not only can the output conditions of each battery unit in the energy storage system be adjusted in real time, adjust the SOC of each battery unit to be balanced as much as possible, keep the energy storage system in an optimal state, and realize the available output capacity, The electric quantity is maximized, and the energy storage battery system adjusting method can be applied to the conditions of simultaneous charging, discharging and reactive power, has more application scenes, considers errors in practice and improves the accuracy of adjustment.

Exemplarily, fig. 7 is a schematic flowchart of a method for adjusting an energy storage battery system according to an embodiment of the present disclosure, and as shown in fig. 7, the method according to the embodiment of the present disclosure includes:

s701, acquiring system parameters of an energy storage battery system; the energy storage battery system comprises N battery units, and the system parameters comprise: the battery state of charge (SOC) of the N battery units, the corresponding battery state of health (SOH), the maximum output capacity allowed by the N battery units and the working output condition of the energy storage battery system; the maximum output capacity comprises a maximum charging output capacity and/or a maximum discharging output capacity; the work output condition includes a charge output capability or a discharge output capability.

In this embodiment Of the present application, a State Of Charge (SOC) may refer to a ratio Of an available electric quantity in a battery to a nominal capacity, and is an important monitoring data Of a battery management system, the battery management system controls a battery operating State according to an SOC value, and a remaining electric quantity Of the battery may reflect a State Of Charge Of the battery, and may be represented by a percentage or a fraction, for example, 80%.

The State Of Health (SOH) Of the battery may refer to a quantitative index Of the State Of Health Of the battery, and may be determined according to the end Of life Of the battery, and may also be understood as a percentage Of the current capacity Of the battery to the factory capacity, and may be used to calculate key parameters such as SOP and judge when the battery system needs to be replaced, whether the battery system can be used in a degradable manner, and the like, and may be represented by a percentage or a fraction, for example, 60%, which is not specifically limited in this embodiment Of the present application.

The maximum output capacity may refer to the maximum variation of energy on a circuit element in a unit time of the battery, which is a physical quantity having a magnitude and a positive or negative value, and may also refer to a limit value of a capacity that the circuit element can bear, which may include the maximum charging output capacity and/or the maximum discharging output capacity, and the larger the maximum output capacity is, the more devices can be loaded by the battery. Wherein the output capability comprises current or power.

The working output condition can refer to a force which needs to be worked out by the Energy storage System at a certain moment, and can include a charging output capability or a discharging output capability, the working output condition needed by the Energy storage System can be determined by an Energy Management System (EMS) according to the SOP, wherein the charging output capability generally refers to the charging power of the power transmission line or the current formed by the movement of charged micro-particles, the discharging output capability generally refers to the discharging parameter of the battery discharging at a high speed or the discharging parameter formed when the storage battery discharges the stored electric Energy to the load, for convenience of description, in the output capability, the charging output capability is recorded as a negative value, the discharging output capability is recorded as a positive value, and the discharging output capability is recorded as a reactive value and is recorded as 0. For example, the charge output capacity is-10W or-10A, and the discharge output capacity is 6W or 6A.

It should be noted that "output capability" in this embodiment of the present application includes current or power, and is not described in any more embodiments in the following description, therefore, the maximum output capability allowed by N battery units in the system parameters obtained in the present application may be the maximum current allowed by N battery units, or the maximum power allowed by N battery units, where 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.

For example, in the application scenario of fig. 1, the server 101 may obtain the SOC of the battery units 1 to 32 and the corresponding SOH thereof, the maximum output capacity allowed by the 32 battery units, the work output condition of the energy storage battery system, and other system parameters.

It should be noted that, in the embodiment of the present application, a specific form of the working output condition is not limited, and the working output condition may also be in other parameter types, but the working output condition of the energy storage system needs to be reflected.

S702, determining the additionally chargeable output capacity and/or the additionally dischargeable 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.

In the embodiment of the present application, the output capability that can be additionally charged may refer to the output capability that can be additionally charged when the battery is charged, and/or the output capability that can be additionally charged when the battery is discharged.

The extra dischargeable output capacity may refer to an output capacity of the battery that can be additionally discharged when the battery is charged, and/or an output capacity of the battery that can be additionally discharged when the battery is discharged.

It should be noted that, in a normal situation, in order to enable the energy storage system to normally operate, the EMS may ensure that the acting output condition of the energy storage battery system is within the SOP allowable range, that is, the absolute value of the acting output condition of the energy storage battery system is less than or equal to the sum of the absolute values of the maximum output capacities allowed by the N battery units, for example, when charging, the absolute value of the charging output capacity of the energy storage battery system is less than or equal to the sum of the absolute values of the maximum charging output capacities allowed by the battery units; and during discharging, the absolute value of the discharge output capacity of the energy storage battery system is less than or equal to the sum of the absolute values of the maximum allowable discharge output capacities of the battery units.

For example, in the application scenario of fig. 1, the server 101 may determine the additionally chargeable output capability according to the maximum allowable charge output capability of the 32 battery units and the charge output capability of the energy storage battery system, or determine the additionally dischargeable output capability according to the maximum allowable discharge output capability of the 32 battery units and the discharge output capability of the energy storage battery system.

S703, calculating a difference value between the SOC of the N battery units and a preset target threshold value, calculating the SOC deviation of the N battery units according to the difference value and the SOH corresponding to the N battery units, and determining the charging and discharging state of the target battery unit to be adjusted based on the SOC deviation of the N battery units.

In this embodiment of the present application, the preset target threshold may refer to a set value that can achieve the purpose of adjusting and balancing the SOC of each battery unit, so that the SOC of the battery unit is close to the target threshold. For example, the target threshold may be 60%.

The preset target threshold may be a fixed value, may be a range of a certain interval, may vary in real time, or may be a real-time average value, a median, or other desired value of the SOC of each battery cell, which is not specifically limited in the embodiment of the present application.

In this step, the target battery cell may refer to a battery cell that needs to be charged and discharged, so that the SOC of the target battery cell is close to a preset target threshold, and the target battery cell may be controlled by adjusting power or current, which is not specifically limited in this embodiment of the present application.

For example, the deviation of the SOC of each battery cell from the preset target threshold is denoted as dSOC (1), dSOC (2), …, dSOC (n), where the number of battery cells is denoted as n, the preset target threshold is denoted as SOC _ tgt, and dSOC (i) means: the meaning of SOH (i) between the i-th cell and SOC _ tgt compared to the actual SOC difference of the cell in the initial state (i.e., 100% SOH) is: SOH of the ith cell, the SOC deviation of the cell may be determined by the following equation:

dSOC(i)＝(SOC(i)-SOC_tgt)*SOH(i)

if the calculated SOC (i) is positive, it can be said that the battery unit needs to be discharged, so as to achieve the purpose of approaching to SOC _ tgt; otherwise, if the calculated soc (i) is negative, it indicates that the battery cell needs to be charged.

It is understood that the charge and discharge state of the target cell to be adjusted may be determined according to the calculated SOC deviation of the N cells.

S704, calculating a first ratio of the additionally chargeable output capacity to a maximum value of absolute values of SOC deviations of the N battery cells, and/or calculating a second ratio of the additionally dischargeable output capacity to the maximum value.

In the embodiment of the present application, the maximum value of the SOC deviation of the battery unit to be charged is referred to as SOC _ cha _ max, and since the SOC deviation of the battery unit is a positive value indicating that the battery unit is in a state to be discharged and the SOC deviation of the battery unit is a negative value indicating that the battery unit is in a state to be charged, SOC _ cha _ max is the absolute value of the minimum value of the SOC deviations of all the battery units, and can also be understood as the maximum value of the absolute values of the SOC deviations of all the battery units.

Similarly, the maximum value of the SOC deviation of the battery cell to be discharged is referred to as dSOC _ dis _ max, which is the absolute value of the maximum value of the SOC deviations of all the battery cells, and can also be understood as the maximum value of the absolute values of the SOC deviations of all the battery cells.

For example, in the application scenario of fig. 1, the maximum allowable margin SOP (i.e. the first ratio) per SOC charged by the additionally chargeable output capacity and the maximum of the absolute values of the SOC deviations of the 32 battery cells can be calculated by the following formula, and is denoted as dSOP _ SOC _ cha:

dSOP_SOC_cha＝dSOP_cha_max/dSOC_cha_max

and calculating the maximum allowable margin SOP (namely, a second ratio) corresponding to 1 unit SOC per discharge through the maximum value of the additionally dischargeable capacity and the absolute value of the SOC deviation of the 32 battery units, and recording the maximum allowable margin SOP as dSOP _ SOC _ dis:

dSOP_SOC_dis＝dSOP_dis_max/dSOC_dis_max

wherein dSOP _ cha _ max represents the output capability of additional charging, and dSOP _ dis _ max represents the output capability of additional discharging.

S705, calculating the actual distribution output capacity of the target battery unit based on the mean value of the work output conditions 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 superposition parameter is used for adjusting the degree of the output capacity change rate.

In the embodiment of the application, the first ratio and/or the second ratio is/are the minimum value, that is, if the battery units of the energy storage battery system are all charged, the first ratio is obtained in calculating the actually distributed output capacity, if the battery units of the energy storage battery system are all discharged, the second ratio is obtained in calculating the actually distributed output capacity, 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 obtained in calculating the actually distributed output capacity and is recorded as dSOP _ SOC.

For example, if a stacking parameter k is added on the basis of dSOP _ SOC, the stacking parameter k is a positive number not greater than 1 and is used for adjusting the output capacity change rate, the actual output capacity actually allocated to the target battery cell is determined by the following formula:

P(i)＝P_demand/n+dSOC(i)*dSOP_SOC*k

For example, in the application scenario of fig. 1, 32 battery cells are all discharged, the battery cell 1 is determined as the target battery cell, and it can be known through calculation that the SOC deviation of the battery cell 1 is 60%, the work output condition of the energy storage battery system is the discharge output capability, and when the discharge output capability is taken as an example, the discharge power, P _ demand is 160W, dSOP _ SOC is 0.6, and k is 0.5, the actual distributed power P (1) of the battery cell 1 is 160/32+ 60% 0.6 x 0.5 is 5.18W.

It should be noted that, the above values are only exemplary illustrations, which are determined according to actual situations, and this embodiment of the present application is not limited to this.

The actual distribution output capacity distributed to the target battery unit is calculated by using the formula, so that the calculation efficiency and the calculation accuracy are improved, and in the formula, the output capacity change rate can be regulated and controlled in real time according to an application scene by adding the superposition parameter k, so that the flexibility is improved.

It is understood that the embodiment of the present application may also achieve the purpose of the present application without increasing the stacking parameter k, only to the extent of the output capability change rate, that is, the time required for the output capability to change may be fast or slow, and the embodiment of the present application is not particularly limited thereto.

And S706, carrying out SOC adjustment on the target battery unit according to the calculated actual distribution output capacity of the target battery unit.

For example, in the application scenario of fig. 1, if the calculated target battery unit is the battery unit 1, the server 101 may issue an adjustment instruction according to the calculated actually-allocated output capacity of the battery unit 1 to perform SOC adjustment on the battery unit 1.

It should be noted that, the energy storage battery system adjustment method described in the present application may be performed in real time, or may be performed at regular time, or performed only during charging, only during discharging, only during idle operation, or performed according to other settings according to time and/or operating state, which is not limited in this embodiment of the present application. If the number of the target battery units is multiple, after the server issues the adjustment instruction, the multiple target battery units are synchronously adjusted in real time, and only the actual distribution output capacities of the adjustment instruction for each target battery unit may be different.

It is to be understood that the battery unit described herein may be a battery stack, a battery pack, a battery module, or a single battery cell, and this is not particularly limited in this embodiment of the present disclosure.

Therefore, the energy storage battery system adjusting method can adjust the SOC of each battery unit to be balanced as much as possible in real time, so that the energy storage system is integrally kept in an optimal state, the available output capacity and the electric quantity are maximized, and the energy storage battery system adjusting method can be applied to the conditions of simultaneous charging, discharging and reactive power, has more application scenes, reduces errors and improves the adjusting accuracy.

For example, in the application scenario of fig. 1, the working output condition of the energy storage battery system may be determined according to the minimum value of the absolute values of the maximum output capacities allowed by the 32 battery units, which is obtained by the server 101; if the working output condition of the energy storage battery system is the discharge output capacity, for the 32 battery units, extra charging can be performed on the basis of the average required output capacity, and the allowable extra charge output capacity is the minimum value of the allowable maximum charge output capacities of the 32 battery units; if the working output condition of the energy storage battery system is the charging output capacity, for the 32 battery units, the output capacity capable of being additionally charged is a difference value obtained by subtracting the average value of the charging output capacities of the energy storage battery system from the absolute value of the maximum allowable charging output capacity. The minimum value of the additional chargeable capacity is taken as the actual allowable additional chargeable capacity of each battery unit.

Similarly, if the working output condition of the energy storage battery system is the charging output capacity, for the 32 battery units, extra discharging can be performed on the basis of the average required output capacity, and the allowable extra discharging output capacity is the minimum value of the allowable maximum discharging output capacities of the 32 battery units; if the working output condition of the energy storage battery system is the discharge output capacity, the extra discharge output capacity of the 32 battery units is a difference value obtained by subtracting the average value of the discharge output capacities of the energy storage battery system from the absolute value of the maximum allowable discharge output capacity. The minimum value of the extra-dischargeable capacity is taken as the allowable extra-dischargeable capacity of each battery unit.

Therefore, the method and the device can calculate and obtain the actually allowable additional charging output capacity and the actually allowable additional discharging output capacity, take the actual situation into consideration, take the minimum value to enable each battery unit to be applicable, gradually reduce the SOC difference within the actual capacity range of each battery unit, and have wide application range.

It should be noted that the output capability described in the embodiment of the present application may be a dc side output capability, an ac side output capability, or a grid-connected point output capability, and what needs to be considered in the calculation is ac/dc Conversion efficiency, Power Conversion System (PCS) Conversion efficiency, wire loss, and the like. For example: taking the output capacity as the power, when the SOP is the dc side power reported by the BMS and the working output condition of the energy storage battery system is the ac side grid-connected point power, the EMS should consider the PCS conversion efficiency, the ac/dc conversion efficiency, and the power loss rate of the connection wires and the electric devices between the battery units when allocating power to the energy storage system.

For example, in the application scenario of fig. 1, the server 101 may determine whether the target battery unit needs to be charged or discharged according to SOC deviations of 32 battery units, for example, the SOC deviations of the 32 battery units are respectively: it can be known that the SOC deviation of the battery unit 1, the SOC deviation of the battery unit 2 is-80%, the SOC deviation of the battery unit 2 is 70%, the SOC deviations of the

battery units

3 and 4 are both 11%, the SOC deviation of the battery unit 5 is 0%, the SOC deviations of the battery units 6 and 7 are both-13%, the SOC deviation of the battery unit 8 is-50%, the SOC deviations of the battery units 9-16 are both-9%, and the SOC deviations of the battery units 17-32 are both 6%, that the battery unit 1, the battery units 6-16 all need to be charged, and the battery units 2-4 and the battery units 17-32 all need to be discharged.

It can be understood that, in the embodiment of the present application, a target battery cell to be adjusted may be determined according to the SOC deviation of the battery cell, that is, a specific value of the SOC deviation of the battery cell indicates that the battery cell needs to be adjusted, and the battery cell is regarded as the target battery cell, and if the SOC deviation of a certain battery cell is 0, the battery cell is not the target battery cell.

Therefore, the charge/discharge state of the adjustment target cell can be determined from the positive and negative of the SOC deviation of the cell, and the processing rate can be improved.

and synchronously carrying out SOC adjustment on the corresponding target battery units according to the actual distributed output capacity of each target battery unit.

For example, in the application scenario of fig. 1, taking the output capacity as the power, if the server determines that the target battery units are the battery units 1-4 and the battery units 6-32, where the battery units 1, 6-16 all need to be charged, and the battery units 2-4 and 17-32 all need to be discharged, the server needs to first obtain the calculated actual allocated powers of the battery units 1-4 and 6-32, and further, generate an adjustment instruction according to the actual allocated power corresponding to each target battery unit, where the adjustment instruction is to allocate corresponding actual allocated powers to different target battery units to perform SOC adjustment, for example, the actual allocated power allocated to the battery unit 1 is-10W, the actual allocated power allocated to the battery unit 2 is 5W, and so on, not to be enumerated here, each target battery unit receives the adjustment command, and performs SOC adjustment synchronously based on the received adjustment command.

It should be noted that the above-mentioned actual distributed power values of the battery units are only exemplary, and should be determined according to actual situations.

Therefore, the SOC of the target battery unit can be synchronously adjusted according to the calculated actual distribution output capacity of the target battery unit, and the adjustment rate is improved.

Optionally, the method further includes:

For example, in the application scenario of fig. 1, the battery management system 1 may collect the system parameters of the battery units 1 to 16 and the battery management system 2 may collect the system parameters of the battery units 17 to 32, and further, the system parameters of the battery units 1 to 16 and the system parameters of the battery units 17 to 32 may be uploaded to the server 101, so that the server 101 may obtain the system parameters of the energy storage battery system uploaded by the battery management system.

Optionally, in the application scenario of fig. 1, the cloud may also collect the system parameters of the battery units 1 to 16 and 17 to 32 in real time and send the system parameters to the server for processing, or the user may collect the system parameters of the battery units 1 to 16 and 17 to 32 first and further input the system parameters into the server for processing.

Optionally, in an application scenario of fig. 1, the battery management system 1 may collect part of system parameters of the battery units 1 to 16, and calculate all required parameters by using the part of system parameters, for example, may collect an SOC and an SOH and a battery power state SOP corresponding thereto, further, calculate a work output condition required by the energy storage system by using the SOP, and calculate a maximum power by using the SOC and an SOH corresponding thereto, so that system parameters such as the work output condition and the maximum power required by the energy storage system, which are calculated by the battery management system according to the SOC and the SOH and the battery power state SOP corresponding thereto, may be obtained, and the SOC and the SOH and the SOP corresponding thereto may also be obtained.

It should be noted that the system parameters obtained in the embodiment of the present application may be uploaded in real time, or may be uploaded at intervals of a preset period, or may be preset rated values, which is not specifically limited in the embodiment of the present application.

Therefore, the embodiment of the application has the advantages of wide application range, multiple application scenes and convenience in application.

In the foregoing embodiment, the energy storage battery system adjusting method provided in the embodiment of the present application is described, and in order to implement each function in the method provided in the embodiment of the present application, the electronic device serving as an execution subject may include a hardware structure and/or a software module, and implement each function in the form of a hardware structure, a software module, or a hardware structure plus a software module. Whether any of the above-described functions is implemented as a hardware structure, a software module, or a hardware structure plus a software module depends upon the particular application and design constraints imposed on the technical solution.

For example, fig. 8 is a schematic structural diagram of an energy storage battery system adjustment apparatus provided in an embodiment of the present application, and as shown in fig. 8, the apparatus includes: an obtaining module 810, a determining module 820, a first calculating module 830, a second calculating module 840, a third calculating module 850 and an adjusting module 860.

The acquiring module 810 is configured to acquire system parameters of the energy storage battery system; the energy storage battery system comprises N battery units, and the system parameters comprise: the battery state of charge SOC of the N battery units, the corresponding battery state of health SOH, the maximum output capacity allowed by the N battery units and the working output condition of the energy storage battery system; the maximum output capacity comprises a maximum charging output capacity and/or a maximum discharging output capacity; the work output condition comprises a charging output capacity or a discharging output capacity;

a determining module 820, configured to determine an additionally chargeable output capability and/or an additionally 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;

a first calculating module 830, configured to calculate a difference between the SOCs of the N battery cells and a preset target threshold, calculate SOC deviations of the N battery cells according to the difference and SOHs corresponding to the N battery cells, and determine a charge/discharge state of a target battery cell to be adjusted based on the SOC deviations of the N battery cells;

a second calculating module 840 for calculating a first ratio of the additionally chargeable output capability to a maximum value of absolute values of SOC deviations of the N battery cells, and/or calculating a second ratio of the additionally dischargeable output capability to the maximum value;

a third calculating module 850, configured to calculate an actual distributed output capacity of the target battery cell based on a mean of work output conditions of the energy storage battery system, the SOC deviation of the target battery cell, the stacking parameter, the first ratio and/or the second ratio; the superposition parameter is used for adjusting the degree of the output capacity change rate;

and an adjusting module 860, configured to perform SOC adjustment on the target battery cell according to the calculated actual distributed output capability of the target battery cell.

Optionally, the absolute value of the acting output condition of the energy storage battery system is less than or equal to the sum of the absolute values of the maximum output capacities allowed by the N battery units; the determining module 820 is specifically configured to:

Optionally, the first calculating module 830 is specifically configured to:

Optionally, the adjusting module 860 is specifically configured to:

P(i)＝P_demand/n+dSOC(i)*dSOP_SOC*k

Optionally, the obtaining module 810 is further configured to:

The specific implementation principle and effect of the energy storage battery system adjusting device provided in the embodiment of the present application may refer to the corresponding description and effect of the above embodiments, and are not described herein in any more detail.

An embodiment of the present application further provides a schematic structural diagram of an electronic device, and fig. 9 is a schematic structural diagram of an electronic device provided in an embodiment of the present application, and as shown in fig. 9, the electronic device may include: a processor 902 and a memory 901 communicatively coupled to 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 according to any of the embodiments.

The memory 901 and the processor 902 may be connected by a bus 903.

The present application further provides an energy storage battery system, comprising: a battery management system, an energy management system, and an electronic device as described in fig. 9.

The embodiment of the present application further provides a computer-readable storage medium, where a computer program executing instruction is stored, and the computer executing instruction is used for implementing the energy storage battery system adjusting method as in any one of the foregoing embodiments of the present application when the computer executing instruction is executed by a processor.

The embodiment of the present application further provides a chip for executing the instruction, where the chip is used to execute the energy storage battery system adjustment method executed by the electronic device in any of the embodiments described above in the present application.

Embodiments of the present application further provide a computer program product, which includes a computer program, and when the computer program is executed by a processor, the method for adjusting an energy storage battery system performed by an electronic device according to any of the foregoing embodiments of the present application can be implemented.

In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of modules is merely a division of logical functions, and an actual implementation may have another division, for example, a plurality of modules or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.

Modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to implement the solution of the present embodiment.

In addition, functional modules in the embodiments of the present application may be integrated into one processing unit, or each module may exist alone physically, or two or more modules are integrated into one unit. The unit formed by the modules can be realized in a hardware form, and can also be realized in a form of hardware and a software functional unit.

The integrated module implemented in the form of a software functional module may be stored in a computer-readable storage medium. The software functional module is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) or a processor to execute some steps of the methods described in the embodiments of the present application.

It should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in the incorporated application may be directly implemented by a hardware processor, or may be implemented by a combination of hardware and software modules in the processor.

The Memory may include a Random Access Memory (RAM), and may further include a Non-volatile Memory (NVM), such as at least one magnetic disk Memory, and may also be a usb disk, a removable hard disk, a read-only Memory, a magnetic disk, or an optical disk.

The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.

The storage medium may be implemented by any type or combination of volatile or non-volatile memory devices, 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 memory, flash memory, magnetic or optical disks. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.

An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the storage medium may reside as discrete components in an electronic device or host device.

The above description is only a specific implementation of the embodiments of the present application, but the scope of the embodiments of the present application is not limited thereto, and any changes or substitutions within the technical scope disclosed in the embodiments of the present application should be covered by the scope of the embodiments of the present application. Therefore, the protection scope of the embodiments of the present application shall be subject to the protection scope of the claims.

Claims

1. An energy storage battery system adjustment method, the method comprising:

2. The method of claim 1, wherein the absolute value of the work-done output condition of the energy storage battery system is less than or equal to the sum of the absolute values of the maximum output capacities allowed for the N battery cells; determining the additionally chargeable output capacity and/or the additionally dischargeable 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, wherein the determining comprises the following steps:

3. The method of claim 1, wherein determining the charge-discharge state of the target cell to be adjusted based on the SOC deviation of the N cells comprises:

4. The method of claim 3, wherein the SOC adjustment of the target cell based on the calculated actual distributed output capacity of the target cell comprises:

5. The method of claim 1, wherein the actual dispensed capacity of the target cell is determined by the following equation:

P(i)＝P_demand/n+dSOC(i)*dSOP_SOC*k

wherein p (i) represents the actual distributed output capacity corresponding to the ith target battery cell; dsoc (i) represents the ith target cell SOC deviation; p _ demand represents the acting output condition of the energy storage battery system, and n represents the number of battery units in the energy storage battery system; dSOP-SOC represents the minimum of the first ratio and/or the second ratio; k represents a superposition parameter, and k is a positive number not greater than 1.

6. The method according to any one of claims 1-5, further comprising:

7. An energy storage battery system adjustment device, the device comprising:

8. An electronic device, comprising: a processor, and a memory communicatively coupled to the processor;

the memory stores computer-executable instructions;

the processor executes computer-executable instructions stored by the memory to implement the method of any of claims 1-6.

9. An energy storage battery system, comprising: a battery management system, an energy management system, and an electronic device as claimed in claim 8.

10. A computer-readable storage medium storing computer-executable instructions for implementing the energy storage battery system adjustment method according to any one of claims 1 to 6 when executed by a processor.

11. Computer program, characterized in that it comprises a program code for performing the method according to any of claims 1-6, when the computer program is run by a computer.