Manganese-based lithium ion battery energy storage system energy management method and system

Abstract

The invention discloses an energy management method and system for a manganese-based lithium ion battery energy storage system, and belongs to the technical field of energy storage. The energy management method of the energy storage system comprises the following steps: acquiring a charge state, a health state and an energy storage unit temperature of each energy storage unit; calculating the safety state of the energy storage unit according to the charge state of the energy storage unit and the temperature of the energy storage unit; constructing an objective function and constraint conditions of power distribution according to the charge state, the health state, the energy storage unit temperature and the safety state; and solving the objective function to obtain a power distribution instruction, and distributing power according to the power distribution instruction and the safety state of the energy storage unit. The method distributes the power of the energy storage unit on the basis of measuring the health state SOH and the temperature T of the energy storage unit, prevents the temperature of the energy storage unit from being too high, and delays the aging of a power station.

Description

Technical Field

[0001] The invention provides an energy management method and system for a manganese-based lithium-ion battery energy storage system, belonging to the technical field of energy storage. Background Art

[0002] The development of energy storage technology plays a key role in building smart grids and realizing renewable energy generation. The role of energy storage technology in the construction of smart grids includes: Smart grids need to balance power supply and demand in real time, and energy storage systems can store electricity when there is excess power and release electricity when there is insufficient power, thereby effectively alleviating the contradiction between supply and demand and improving the stability and reliability of the power grid. Energy storage systems can quickly respond to the dispatching instructions of the power grid, realize rapid regulation and distribution of electricity, and improve the flexibility and response speed of the power grid. Renewable energy generation is intermittent and uncertain. Energy storage systems can smooth out the fluctuations of renewable energy generation and increase the proportion and utilization rate of renewable energy connected to the grid. The increase in the proportion of new energy generation has brought challenges to the stability of power supply in the power grid. As a backup power source, energy storage systems can provide power support when new energy generation is insufficient or fails, ensuring the safety and continuity of power supply. Through the optimized dispatching of energy storage systems, the phenomenon of wind and solar abandonment in new energy generation can be reduced, the utilization rate and economic benefits of new energy generation can be improved, and the cost of new energy generation can be reduced.

[0003] With the rapid development of new energy, energy storage systems, as an important part of the new energy industry, require intelligent management systems to achieve efficient management and optimization of energy. The energy management system of energy storage power stations can monitor, control and optimize the energy flow and energy consumption in the energy system, improve energy utilization efficiency and reduce operating costs.

[0004] The patent application with publication number CN117375048A relates to a multi-objective optimization method for power allocation of energy storage system, which includes the following steps: Step 1: Determine the evaluation index of power allocation of energy storage system; Step 2: Establish a mathematical model of the operating cost of energy storage system, the health state loss of energy storage unit, and the charge state consistency of energy storage system; Step 3: Determine the constraint conditions; Step 4: Multi-objective conversion; Step 5: Use the Northern Goshawk algorithm to solve the model for power allocation; Step 6: In view of the characteristics of high efficiency, low energy consumption, stability and safety of DC microgrid, in order to improve the stability and power supply time of energy storage system, multiple energy storage units are usually connected in parallel; the energy storage unit is connected to the DC bus through a DC-DC converter, and the energy management system is used to achieve optimal control of the battery unit. Although the application uses the energy management system to achieve optimal control of the battery unit, it does not take into account the health state and operating temperature of the energy storage unit. Once a safety accident occurs, it will delay the operation of the power station, and the actual power allocation will not proceed smoothly, causing smart grid failure.

[0005] The existing energy management method of manganese-based lithium-ion battery energy storage system mainly allocates the power of the energy storage unit by measuring the state of charge (SOC) and health state (SOH) of the energy storage unit. This method can ensure that the health state and temperature of the energy storage unit are in the best state to a certain extent, but it cannot completely avoid the abuse and aging of the energy storage unit. There are some problems. First, the existing method mainly allocates power based on the state of charge and health state of the energy storage unit, and does not fully consider the impact of the temperature of the energy storage unit on the power distribution. This may cause the temperature of the energy storage unit to be too high, thereby accelerating the aging of the energy storage unit and shortening its service life. Secondly, when estimating the safety state of the energy storage unit, the existing method does not fully consider the impact of the temperature of the energy storage unit on the safety state. This may lead to unreasonable power distribution and certain safety hazards. Therefore, the existing energy management method of manganese-based lithium-ion battery energy storage system has certain limitations in practical applications. Summary of the invention

[0006] In view of the shortcomings of the prior art, the present invention provides a manganese-based lithium-ion battery energy storage system energy management method and system. The method allocates the power of the energy storage unit based on the measured state of health SOH and temperature T of the energy storage unit, prevents the energy storage unit temperature from being too high, and delays the aging of the power station.

[0007] In order to solve the above technical problems, the technical solution adopted by the present invention is: In a first aspect, the present invention provides an energy management method for a manganese-based lithium-ion battery energy storage system, comprising: Obtain the charge state, health state, and temperature of each energy storage unit; Calculate the safety state of the energy storage unit according to the state of charge and temperature of the energy storage unit; Construct the objective function and constraints of power allocation based on the state of charge, health status, energy storage unit temperature, and safety status; The objective function is solved to obtain the power allocation instruction, and the power is allocated according to the power allocation instruction and the safety status of the energy storage unit.

[0008] As a further improvement of the present invention, the method of calculating the safety state of the energy storage unit according to the state of charge of the energy storage unit and the temperature of the energy storage unit includes: Determine the normal operating temperature range of the battery of the energy storage unit; Outside the normal operating temperature range of the battery, based on when the battery operating temperature is greater than , and when it approaches 100°C, the battery performance deteriorates faster, building a battery temperature , health status Relationship to security status; By the energy storage unit and Calculate the safety status of the energy storage unit.

[0009] As a further improvement of the present invention, the safety state of the energy storage unit is:

[0010] In the formula, For safe status, The state of charge of an energy storage unit is , health status is , temperature is ,0<i≤ , is the operating temperature threshold.

[0011] As a further improvement of the present invention, the objective function of the power allocation is:

[0012] Where: for Energy storage unit SOC at all times; for The average value of the energy storage system SOC at all times; for Energy storage unit temperature at the moment; for The average temperature of the energy storage system at the moment; N is the number of energy storage system units; and is a constant coefficient.

[0013] As a further improvement of the present invention, the constraint conditions include battery cell SOC constraint, cell charge and discharge power constraint, SOC variation constraint and charge and discharge power conservation constraint.

[0014] As a further improvement of the present invention, the battery cell SOC constraint is

[0015] in, , The battery energy storage unit minimum and maximum limits; The unit charge and discharge power constraints are

[0016] in, Power of a single energy storage unit Maximum value; The SOC variation constraint is

[0017] in, It is the first peak load unit Battery storage units in Power during the period, is a period of time, is the capacity of the battery storage unit.

[0018] The charge and discharge power conservation constraint is

[0019] in, for The energy storage system output power at all times.

[0020] In a second aspect, the present invention provides an energy management system for a manganese-based lithium-ion battery energy storage system, comprising: An acquisition module is used to obtain the charge state, health state, and temperature of each energy storage unit; A calculation module, used to calculate the safety state of the energy storage unit according to the state of charge of the energy storage unit and the temperature of the energy storage unit; A building module is used to build the objective function and constraints of power allocation based on the state of charge, health state, energy storage unit temperature, and safety state; The allocation module is used to solve the objective function to obtain the power allocation instruction, and allocate power according to the power allocation instruction and the safety status of the energy storage unit.

[0021] In a third aspect, the present invention provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the energy management method for the manganese-based lithium-ion battery energy storage system when executing the computer program.

[0022] In a fourth aspect, the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the energy management method of the manganese-based lithium-ion battery energy storage system is implemented.

[0023] In a fifth aspect, the present invention provides a computer program product, which includes computer instructions, characterized in that the computer instructions instruct a computer to execute the energy management method for the manganese-based lithium-ion battery energy storage system.

[0024] The beneficial effects of the present invention compared with the prior art are as follows: In summary, the method of the present invention first measures the state of charge SOC, health state SOH, and energy storage unit temperature T of each energy storage unit in order to accurately grasp the state of the energy storage unit. Secondly, the safety state of the energy storage unit is estimated based on the energy storage unit SOH and T, so as to reasonably evaluate the operating risk of the energy storage unit. Furthermore, power is allocated according to the power instruction and the safety state of the energy storage unit, so as to meet the power demand and avoid the energy storage unit temperature from being too high, thereby extending the service life of the energy storage unit. When allocating power, it is considered that the higher the temperature of the energy storage unit and the lower the health state, the lower the state of charge, and the less likely it is to cause a safety accident, thereby further improving the safety of the power station operation. The method allocates the power of the energy storage unit on the basis of measuring the health state SOH and temperature T of the energy storage unit, preventing the energy storage unit temperature from being too high and accelerating the aging of the power station operation. The higher the temperature of the energy storage unit and the lower the health state, the lower the state of charge, and the less likely it is to cause a safety accident, thereby delaying the operation of the power station. The present invention can fully consider the influence of the energy storage unit temperature in power distribution, avoid excessive temperature of the energy storage unit, accelerate aging, and shorten the service life. At the same time, it can also reasonably evaluate the operation risk of the energy storage unit to ensure the rationality and safety of power distribution. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the embodiments of the present invention or the drawings of related technical solutions in the prior art are introduced below. It should be understood that the drawings introduced below are only for the convenience of clearly describing some embodiments of the technical solutions of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0026] Figure 1 A flow chart of an energy management method for a manganese-based lithium-ion battery energy storage system provided by the present invention; Figure 2 This is a flow chart of the energy management method of the manganese-based lithium-ion battery energy storage system of the present invention; Figure 3 An energy management device for a manganese-based lithium-ion battery energy storage system provided by the present invention; Figure 4 A schematic diagram of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0027] The embodiments of the present invention are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and are not to be construed as limitations of the present invention. For the step numbers in the following embodiments, they are only provided for the convenience of explanation, and the order between the steps is not limited in any way, and the execution order of each step in the embodiment can be adaptively adjusted according to the understanding of those skilled in the art.

[0028] In the description of the present invention, unless otherwise clearly defined, terms such as setting, installing, connecting, etc. should be understood in a broad sense, and technicians in the relevant technical field can reasonably determine the specific meanings of the above terms in the present invention based on the specific content of the technical solution.

[0029] Manganese-based lithium-ion battery energy storage system is a lithium-ion battery energy storage technology based on manganese-based positive electrode materials. This system combines the high energy density and long cycle life of lithium-ion batteries with the cost-effectiveness of manganese-based materials, providing a new solution for the energy storage field. Manganese-based lithium-ion battery energy storage system is mainly composed of manganese-based positive electrode, negative electrode, electrolyte, diaphragm and battery management system. Among them, manganese-based positive electrode material is the key, and its performance directly affects the energy density, cycle life and safety performance of the battery. The working principle of manganese-based lithium-ion battery is similar to that of ordinary lithium-ion battery, and both rely on the reversible migration of lithium ions between positive and negative electrodes to realize the storage and release of charge. During the charging process, lithium ions are released from the positive electrode material, migrate to the negative electrode through the electrolyte and embed into it; during discharge, lithium ions are released from the negative electrode and migrate back to the positive electrode. In this process, electrons are transferred through the external circuit to form a current, thereby realizing the storage and release of electrical energy.

[0030] Manganese-based lithium-ion battery energy storage systems are widely used in renewable energy generation, grid peak regulation, electric vehicle charging stations, data center backup power supply, etc. These applications have strict requirements on the cost, performance, safety and reliability of energy storage systems, and manganese-based lithium-ion battery energy storage systems are the ideal choice to meet these needs.

[0031] like Figure 1 As shown, the present invention provides an energy management method for a manganese-based lithium-ion battery energy storage system, comprising the following steps: S100, obtaining the charge state, health state, and energy storage unit temperature of each energy storage unit; The power allocation strategy of the present invention not only considers the health state SOH of the energy storage unit, but also considers the temperature T of the energy storage unit. This power allocation strategy based on the health state and operating temperature of the energy storage unit can effectively prevent the energy storage unit from overheating, delay the aging of the power station, and thus increase the service life of the energy storage unit.

[0032] S200, calculating the safety state of the energy storage unit according to the state of charge of the energy storage unit and the temperature of the energy storage unit; When estimating the safety status of the energy storage unit, the impact of the temperature of the energy storage unit on the safety status is fully considered. This method can more accurately estimate the safety status of the energy storage unit, thereby achieving more reasonable power allocation, reducing the irrationality of power allocation, improving energy utilization efficiency, and reducing operating costs.

[0033] S300, constructing an objective function and constraint conditions for power allocation according to the state of charge, health state, energy storage unit temperature, and safety state; S400, solving the objective function to obtain a power allocation instruction, and allocating power according to the power allocation instruction and the safety status of the energy storage unit.

[0034] By measuring the state of charge SOC, health state SOH and temperature T of each energy storage unit, and estimating the safety state of the energy storage unit based on these parameters, more accurate power allocation can be achieved. This method can more effectively avoid the abuse and aging of energy storage units and improve the reliability and safety of the energy storage system.

[0035] Furthermore, in the above scheme, power allocation is the key to the energy management system of the energy storage power station. The present invention considers proposing a power allocation strategy based on the health state SOH and temperature T of the energy storage unit to allocate the charging and discharging power of the power station. To ensure that the health state and temperature of the energy storage unit are in the best state. Avoid the abuse of the energy storage unit to shorten its service life. The development of energy storage technology plays a core and key role in building a smart grid and realizing renewable energy generation. This method allocates the power of the energy storage unit based on measuring the health state SOH and temperature T of the energy storage unit, prevents the energy storage unit from being overheated, and delays the aging of the power station.

[0036] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. The control method will be described in detail below in conjunction with specific implementation steps: like Figure 2 As shown, this embodiment provides an energy management method for a manganese-based lithium-ion battery energy storage system. The specific steps include: Step 1: Measure the state of charge of each energy storage unit , health status , Energy storage unit temperature , specifically including: The system energy storage unit has , The state of charge of a cell is , health status is , temperature is . Record and store this data.

[0037] In this step, this embodiment will use high-precision sensors to measure the SOC, SOH and T of each energy storage unit. Specifically, the measurement range of SOC is 0-100% with an accuracy of ±0.5%; the measurement range of SOH is 0-100% with an accuracy of ±1%; the measurement range of T is -40℃ to 80℃ with an accuracy of ±0.5℃.

[0038] Step 2: According to the energy storage unit and Estimating the safety status of energy storage units In this step, this embodiment will use a preset algorithm to estimate the safety state of the energy storage unit according to SOH and T. For example, if SOH is less than 30% or T is greater than 80°C, the energy storage unit is considered to be in an unsafe state; if 30%≤SOH≤70% and -20°C≤T≤80°C, the energy storage unit is considered to be in a generally safe state; if SOH is greater than 70% and T is less than -20°C or T is greater than 80°C, the energy storage unit is considered to be in a safe state.

[0039] More specifically, in this embodiment, the safety state of the energy storage unit is calculated according to the state of charge of the energy storage unit and the temperature of the energy storage unit, including: Determine the normal operating temperature range of the battery of the energy storage unit; Outside the normal operating temperature range of the battery, based on when the battery operating temperature is greater than , especially when approaching 100°C, the battery performance deteriorates faster, and the relationship between battery temperature and battery health and safety status is established; By the energy storage unit and Calculate the safety status of the energy storage unit.

[0040] Wherein, the safety state of the energy storage unit is:

[0041] In the formula, For safe status, The state of charge of an energy storage unit is , health status is , temperature is ,0<i≤ , is the operating temperature threshold.

[0042] For example, the normal operating temperature range of manganese-based batteries is -20~80°C. When the battery operating temperature is greater than 80°C, especially close to 100°C, the battery performance deteriorates faster. The safe state calculated based on the battery temperature and battery health status is:

[0043] The lower the SOH of the energy storage unit and the higher the temperature T, the lower the safety state.

[0044] Step 3: Allocate power according to power instructions and energy storage unit safety status In this step, the present embodiment will allocate power according to the power command and the safety status of the energy storage unit. For example, if the energy storage unit is in an unsafe state, its power is limited to between 0% and 20%; if the energy storage unit is in a generally safe state, its power is limited to between 20% and 80%; if the energy storage unit is in a safe state, its power is limited to between 80% and 100%.

[0045] More specifically, the lower the SOC state is, the lower the safety state should be. The embodiment of the present invention provides the objective function for setting power allocation as:

[0046] Where: for Energy storage unit SOC at all times; for The average value of the energy storage system SOC at all times; for Energy storage unit temperature at the moment; for The average temperature of the energy storage system at the moment; N is the number of energy storage system units; and is a constant coefficient.

[0047] The constraints of the objective function include: 1) Battery cell SOC constraint

[0048] in, , The battery energy storage unit minimum and maximum limits; 2) Unit charging and discharging power constraints

[0049] in, Power of a single energy storage unit Maximum value; 3) SOC change constraints

[0050] in, It is the first peak load unit Battery storage units in Power during the period, is a period of time, is the capacity of the battery storage unit.

[0051] 4) Charge and discharge power conservation constraints

[0052] in, for The energy storage system output power at all times.

[0053] Step 4: Estimate the unit safety status based on the energy storage unit SOH and the energy storage unit temperature T, and allocate power reasonably.

[0054] When allocating power, it is considered that the higher the temperature of the energy storage unit and the lower the health status, the lower the charge state, and it is less likely to cause safety accidents, thereby further improving the safety of power station operation.

[0055] In this step, this embodiment will adjust the state of charge of the energy storage unit according to the degree of decrease in the temperature and health status of the energy storage unit to ensure the safety of the power station operation.

[0056] Through the above steps, this embodiment can fully consider the influence of the energy storage unit temperature in power distribution, avoid excessive temperature of the energy storage unit, accelerate aging, and shorten the service life. At the same time, it can also reasonably evaluate the operating risks of the energy storage unit to ensure the rationality and safety of power distribution.

[0057] This method can prevent other safety accidents such as reduced operating life of the energy storage system due to too low SOH and too high operating temperature, and proposes a power allocation strategy based on the safety state.

[0058] like Figure 3 As shown, the second object of the present invention is to provide an energy management system for a manganese-based lithium-ion battery energy storage system, comprising: The acquisition module 100 is used to obtain the state of charge, health status, and temperature of each energy storage unit; A calculation module 200, used to calculate the safety state of the energy storage unit according to the state of charge of the energy storage unit and the temperature of the energy storage unit; A construction module 300 is used to construct an objective function and constraints for power allocation according to the state of charge, health state, energy storage unit temperature, and safety state; The allocation module 400 is used to solve the objective function to obtain the power allocation instruction, and allocate power according to the power allocation instruction and the safety status of the energy storage unit.

[0059] The system is based on the above-mentioned manganese-based lithium-ion battery energy storage system energy management method.

[0060] like Figure 4 As shown, the third object of the embodiment of the present invention is to provide an electronic device, including a memory 701, a processor 702, and a computer program stored in the memory 701 and executable on the processor, wherein the processor implements the energy management method of the manganese-based lithium-ion battery energy storage system when executing the computer program. It also includes a communication interface 703 and a bus 704.

[0061] A fourth objective of an embodiment of the present invention is to provide a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the energy management method of the manganese-based lithium-ion battery energy storage system is implemented.

[0062] A fifth objective of an embodiment of the present invention is to provide a computer program product, which includes computer instructions, characterized in that the computer instructions instruct a computer to execute the energy management method for a manganese-based lithium-ion battery energy storage system.

[0063] In the field of power systems, the energy management method of the energy storage system of the present invention can effectively improve the stability and reliability of the power system. By reasonably allocating the power of the energy storage unit, the abuse and aging of the energy storage unit can be avoided, and its service life can be extended, thereby ensuring the normal operation of the power system. In addition, the method of the present invention can also effectively prevent the temperature of the energy storage unit from being too high, reduce safety risks, and improve the safety of the power system. In the field of energy management, the energy management method of the energy storage system of the present invention can achieve efficient utilization of energy. By reasonably allocating the power of the energy storage unit, the energy of the energy storage unit can be maximized, the energy utilization efficiency can be improved, and energy waste can be reduced, thereby achieving sustainable development of energy. In addition, the method of the present invention can also allocate power according to the health status and temperature of the energy storage unit, ensuring that the health status and temperature of the energy storage unit are in the best state, extending its service life, thereby reducing the cost of energy management. In the field of thermal energy management, the energy management method of the energy storage system of the present invention can effectively control the temperature of the energy storage unit to avoid overheating caused by excessive temperature. By reasonably allocating the power of the energy storage unit, the temperature of the energy storage unit can be effectively controlled to ensure that it is within the optimal operating temperature range, thereby extending its service life and improving the efficiency of thermal energy management.

[0064] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0065] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0066] The present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, readable storage media, optical storage, etc.) containing computer-usable program codes.

[0067] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0068] Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0069] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A manganese-based lithium-ion battery energy storage system energy management method, characterized in that: include: Obtain the charge state, health state, and temperature of each energy storage unit; Calculate the safety state of the energy storage unit according to the state of charge and temperature of the energy storage unit; Construct the objective function and constraints of power allocation based on the state of charge, health status, energy storage unit temperature, and safety status; The objective function is solved to obtain the power allocation instruction, and the power is allocated according to the power allocation instruction and the safety status of the energy storage unit.

2. The energy management method of the manganese-based lithium-ion battery energy storage system according to claim 1, characterized in that: The step of calculating the safety state of the energy storage unit according to the state of charge of the energy storage unit and the temperature of the energy storage unit includes: Determine the normal operating temperature range of the battery of the energy storage unit; Outside the normal operating temperature range of the battery, based on when the battery operating temperature is greater than , and when it approaches 100°C, the battery performance deteriorates faster, building a battery temperature , health status Relationship to security status; By the energy storage unit and Calculate the safety status of the energy storage unit.

3. The energy management method of the manganese-based lithium-ion battery energy storage system according to claim 2, characterized in that: The safety state of the energy storage unit is: In the formula, For safe status, The state of charge of the energy storage unit is , health status is , temperature is ,0< ≤ , is the operating temperature threshold.

4. The energy management method of the manganese-based lithium-ion battery energy storage system according to claim 1, characterized in that: The objective function of the power allocation is: Where: for Energy storage unit SOC at all times; for The average value of the energy storage system SOC at all times; for Energy storage unit temperature at the moment; for The average temperature of the energy storage system at the moment; N is the number of energy storage system units; and is a constant coefficient.

5. The energy management method of the manganese-based lithium-ion battery energy storage system according to claim 1, characterized in that: The constraints include battery cell SOC constraints, cell charge and discharge power constraints, SOC variation constraints, and charge and discharge power conservation constraints.

6. The energy management method of the manganese-based lithium-ion battery energy storage system according to claim 1, characterized in that: The battery cell SOC constraint is in, , The battery energy storage unit minimum and maximum limits; The unit charge and discharge power constraints are in, Power of a single energy storage unit Maximum value; The SOC variation constraint is in, It is the first peak load unit Battery storage units in Power during the period, is a period of time, is the capacity of the battery energy storage unit; The charge and discharge power conservation constraint is in, for The energy storage system output power at all times.

7. A manganese-based lithium-ion battery energy storage system energy management system, characterized in that: include: An acquisition module is used to obtain the charge state, health state, and temperature of each energy storage unit; A calculation module, used to calculate the safety state of the energy storage unit according to the state of charge of the energy storage unit and the temperature of the energy storage unit; A building module is used to build the objective function and constraints of power allocation based on the state of charge, health state, energy storage unit temperature, and safety state; The allocation module is used to solve the objective function to obtain the power allocation instruction, and allocate power according to the power allocation instruction and the safety status of the energy storage unit.

8. An electronic device, characterized in that: It comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the energy management method for the manganese-based lithium-ion battery energy storage system according to any one of claims 1 to 6 when executing the computer program.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the energy management method for the manganese-based lithium-ion battery energy storage system according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising computer instructions, characterized in that: The computer instructions instruct the computer to execute the energy management method for the manganese-based lithium-ion battery energy storage system according to any one of claims 1 to 6.

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