Energy management method and system for manganese-based lithium-ion battery energy storage system

Abstract

The present invention discloses an energy management method and system for a manganese-based lithium-ion battery energy storage system, belonging to the field of energy storage technology. The energy management method for the energy storage system includes: obtaining the state of charge, health status, and temperature of each energy storage unit; calculating the safety status of the energy storage unit based on the state of charge and temperature of the energy storage unit; constructing the objective function and constraint conditions for power distribution based on the state of charge, health status, temperature, and safety status of the energy storage unit; solving the objective function to obtain a power distribution instruction, and distributing power based on the power distribution instruction and the safety status of the energy storage unit. The method distributes the power of the energy storage unit based on the measurement of the health status SOH and temperature T of the energy storage unit, preventing the energy storage unit temperature from being too high and delaying the aging of the power station.

Description

Technical Field

[0001] The present 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 enabling renewable energy generation. The role of energy storage technology in smart grid construction includes the following: Smart grids require real-time balancing of power supply and demand. Energy storage systems can store energy during periods of excess power and release it during periods of shortage, effectively alleviating supply-demand imbalances and improving grid stability and reliability. Energy storage systems can rapidly respond to grid dispatch commands, enabling rapid power regulation and distribution, enhancing grid flexibility and responsiveness. Renewable energy generation is intermittent and uncertain. Energy storage systems can smooth out fluctuations in renewable energy generation, increasing the proportion and utilization of renewable energy connected to the grid. The increasing proportion of renewable energy generation poses challenges to the stability of the grid's power supply. Energy storage systems, acting as backup power sources, can provide power support when renewable energy generation is insufficient or fails, ensuring the security and continuity of power supply. Optimizing the scheduling of energy storage systems can reduce the curtailment of wind and solar power generation, improve the utilization rate and economic benefits of renewable energy generation, and thus reduce the cost of renewable energy generation.

[0003] With the rapid development of renewable energy, energy storage systems, as a crucial component of the industry, require intelligent management systems to efficiently manage and optimize energy. Energy management systems for energy storage power plants can monitor, control, and optimize energy flow and consumption within the energy system, improving energy efficiency and reducing operating costs.

[0004] Patent application number CN117375048A relates to a multi-objective optimization method for energy storage system power allocation, comprising the following steps: Step 1: Determine evaluation indicators for energy storage system power allocation; Step 2: Establish a mathematical model for the energy storage system's operating cost, the loss of health status of energy storage units, and the consistency of the energy storage system's state of charge; Step 3: Determine constraints; Step 4: Multi-objective conversion; Step 5: Use the Northern Goshawk algorithm to solve the model for power allocation; Step 6: Given the high efficiency, low energy consumption, stability, and safety characteristics of DC microgrids, multiple energy storage units are typically connected in parallel to improve the stability and power supply duration of the energy storage system; the energy storage units are connected to the DC bus via DC-DC converters, and an energy management system is used to optimize the control of the battery cells. Although this application utilizes an energy management system to optimize the control of the battery cells, it does not consider the health status and operating temperature of the energy storage units. If a safety incident occurs, it will delay the operation of the power station, making it impossible to smoothly distribute actual power, resulting in smart grid failure.

[0005] Existing energy management methods for manganese-based lithium-ion battery energy storage systems primarily allocate power to energy storage units by measuring their state of charge (SOC) and state of health (SOH). This method can, to a certain extent, ensure optimal health and temperature of the energy storage units, but it cannot completely prevent abuse and aging of the units. Several issues exist. First, existing methods primarily allocate power based on the SOC and SOH of energy storage units, without fully considering the impact of unit temperature on power allocation. This can lead to excessively high unit temperatures, accelerating aging and shortening their service life. Second, existing methods also fail to fully consider the impact of unit temperature on the safety state when estimating the safety state of energy storage units. This can lead to irrational power allocation and pose safety risks. Therefore, existing energy management methods for manganese-based lithium-ion battery energy storage systems have certain limitations in practical applications. Summary of the Invention

[0006] To address the shortcomings of existing technologies, the present invention provides a method and system for managing energy in a manganese-based lithium-ion battery energy storage system. This method allocates power to energy storage units based on their state of health (SOH) and temperature (T), preventing overheating and slowing down power plant aging.

[0007] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0008] In a first aspect, the present invention provides an energy management method for a manganese-based lithium-ion battery energy storage system, comprising:

[0009] Obtain the state of charge, health status, and temperature of each energy storage unit;

[0010] Calculate the safety status of the energy storage unit based on the state of charge and temperature of the energy storage unit;

[0011] Construct the objective function and constraints for power allocation based on the state of charge, health status, energy storage unit temperature, and safety status;

[0012] The objective function is solved to obtain the power allocation instruction, and power is allocated according to the power allocation instruction and the safety status of the energy storage unit.

[0013] As a further improvement of the present invention, the step of calculating the safety state of the energy storage unit based on the state of charge and temperature of the energy storage unit includes:

[0014] Determine the normal operating temperature range of the battery of the energy storage unit;

[0015] Outside the normal operating temperature range of the battery, based on the battery operating temperature is greater than , and when it approaches 100°C, the battery performance deteriorates faster, and the battery temperature is , health status Relationship to security status;

[0016] By the energy storage unit and Calculate the safety status of the energy storage unit.

[0017] As a further improvement of the present invention, the safe state of the energy storage unit is:

[0018]

[0019] Where, For safe status, The state of charge of the energy storage unit is , health status is , temperature is ,0<i≤ , is the operating temperature threshold.

[0020] As a further improvement of the present invention, the objective function of the power allocation is:

[0021]

[0022] 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 that moment; N is the number of energy storage system units; and is a constant coefficient.

[0023] 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.

[0024] As a further improvement of the present invention, the battery cell SOC constraint is

[0025]

[0026] in, 、 Battery energy storage units minimum and maximum limits;

[0027] The unit charge and discharge power constraints are

[0028]

[0029] in, Power of a single energy storage unit Maximum value;

[0030] The SOC change constraint is

[0031]

[0032] in, It is the first peak-shaving unit Battery energy storage units in Time period power, is a period of time, is the capacity of the battery energy storage unit.

[0033] The charge and discharge power conservation constraint is

[0034]

[0035] in, for The energy storage system output power at all times.

[0036] In a second aspect, the present invention provides an energy management system for a manganese-based lithium-ion battery energy storage system, comprising:

[0037] An acquisition module is used to obtain the state of charge, health status, and temperature of each energy storage unit;

[0038] A calculation module, used to calculate the safety status of the energy storage unit based on the state of charge and temperature of the energy storage unit;

[0039] A construction module is used to construct the objective function and constraints of power allocation based on the state of charge, health status, energy storage unit temperature, and safety status;

[0040] 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.

[0041] 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.

[0042] 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.

[0043] 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 of the manganese-based lithium-ion battery energy storage system.

[0044] The beneficial effects of the present invention compared to the prior art are:

[0045] In summary, the method of the present invention first measures the state of charge (SOC), state of health (SOH), and temperature (T) of each energy storage unit to accurately determine the state of the energy storage unit. Secondly, the safety state of the energy storage unit is estimated based on the SOH and T of the energy storage unit to reasonably assess the operational risk of the energy storage unit. Furthermore, power is allocated according to the power command and the safety state of the energy storage unit to meet power demand while preventing the energy storage unit from overheating and extending its service life. When allocating power, it is considered that the higher the temperature and the lower the health state of the energy storage unit, the lower the state of charge, making it less likely to cause safety accidents, thereby further improving the safety of power station operation. This method allocates power to the energy storage unit based on the measurement of the health state (SOH) and temperature (T) of the energy storage unit, preventing the energy storage unit from overheating and accelerating the aging of the power station operation. The higher the temperature and the lower the health state of the energy storage unit, the lower the state of charge, making it less likely to cause safety accidents and delay power station operation. The present invention can fully consider the influence of energy storage unit temperature in power distribution, avoid excessive temperature of energy storage unit, accelerate aging and shorten service life, and also reasonably evaluate the operating risks of energy storage unit to ensure the rationality and safety of power distribution. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following introduction is made to the drawings of the embodiments of the present invention or the related technical solutions in the prior art. 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 any creative work.

[0047] 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;

[0048] Figure 2 This is a flow chart of the energy management method for the manganese-based lithium-ion battery energy storage system of the present invention;

[0049] Figure 3 An energy management device for a manganese-based lithium-ion battery energy storage system provided by the present invention;

[0050] Figure 4This is a schematic diagram of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0051] The embodiments of the present invention are described in detail below, examples of which 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 limiting the present invention. The step numbers in the following embodiments are provided for ease of explanation only and do not limit the order of the steps. The order of execution of the steps in the embodiments can be adaptively adjusted according to the understanding of those skilled in the art.

[0052] In the description of the present invention, unless otherwise clearly defined, terms such as setting, installing, and connecting 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.

[0053] Manganese-based lithium-ion battery energy storage systems are a type of lithium-ion battery energy storage technology based on manganese-based cathode 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 sector. A manganese-based lithium-ion battery energy storage system primarily consists of a manganese-based cathode, anode, electrolyte, separator, and battery management system. The manganese-based cathode material is crucial, as its performance directly impacts the battery's energy density, cycle life, and safety. The operating principle of manganese-based lithium-ion batteries is similar to that of conventional lithium-ion batteries, relying on the reversible migration of lithium ions between the positive and negative electrodes to store and release charge. During charging, lithium ions are released from the positive electrode material, migrate through the electrolyte to the negative electrode, and then embed themselves there. During discharge, lithium ions are released from the negative electrode and migrate back to the positive electrode. During this process, electrons are transferred through an external circuit, forming an electric current, thereby storing and releasing electrical energy.

[0054] 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, and other fields. 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 an ideal choice to meet these needs.

[0055] 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:

[0056] S100, obtaining the state of charge, health status, and temperature of each energy storage unit;

[0057] The power allocation strategy of the present invention not only considers the state of health (SOH) of the energy storage unit, but also its temperature (T). This power allocation strategy based on the health and operating temperature of the energy storage unit can effectively prevent the energy storage unit from overheating, delaying the aging of the power station, and thus extending the service life of the energy storage unit.

[0058] S200, calculating a safety state of the energy storage unit according to the state of charge and temperature of the energy storage unit;

[0059] When estimating the safety status of energy storage units, the impact of their temperature on the safety status is fully considered. This method can more accurately estimate the safety status of energy storage units, thereby achieving more reasonable power allocation, reducing power allocation irrationality, improving energy utilization efficiency, and reducing operating costs.

[0060] S300, constructing an objective function and constraints for power allocation based on the state of charge, health status, energy storage unit temperature, and safety status;

[0061] 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.

[0062] By measuring each energy storage unit's state of charge (SOC), state of health (SOH), and temperature (T), and estimating its safety status based on these parameters, more accurate power allocation is achieved. This approach can more effectively prevent the misuse and aging of energy storage units, improving the reliability and safety of the energy storage system.

[0063] Furthermore, in the above scheme, power allocation is 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 status (SOH) and temperature (T) of the energy storage unit to allocate the charging and discharging power of the power station. This ensures that the health status and temperature of the energy storage unit are in an optimal state. This avoids the misuse of the energy storage unit, which shortens its service life. The development of energy storage technology plays a core and critical role in building smart grids and realizing renewable energy generation. This method allocates the power of the energy storage unit based on the measurement of the health status (SOH) and temperature (T) of the energy storage unit, preventing the energy storage unit from overheating and delaying the aging of the power station.

[0064] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. The control method will be described in detail below with reference to specific implementation steps:

[0065] like Figure 2 As shown, this embodiment provides an energy management method for a manganese-based lithium-ion battery energy storage system.

[0066] The specific steps include:

[0067] Step 1: Measure the state of charge of each energy storage unit , health status , energy storage unit temperature , specifically including:

[0068] The system energy storage unit has a total of , The state of charge of a cell is , health status is , temperature is . Record and store this data.

[0069] In this step, this embodiment uses high-precision sensors to measure the SOC, SOH, and T of each energy storage unit. Specifically, the SOC measurement range is 0-100% with an accuracy of ±0.5%; the SOH measurement range is 0-100% with an accuracy of ±1%; and the T measurement range is -40°C to 80°C with an accuracy of ±0.5°C.

[0070] Step 2: According to the energy storage unit and Estimating the safety status of energy storage units

[0071] In this step, this embodiment uses a preset algorithm to estimate the safety state of the energy storage unit based on the SOH and T. For example, if the SOH is less than 30% or the 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 the SOH is greater than 70% and the T is less than -20°C or the T is greater than 80°C, the energy storage unit is considered to be in a safe state.

[0072] More specifically, in this embodiment, calculating the safety state of the energy storage unit based on the state of charge and temperature of the energy storage unit includes:

[0073] Determine the normal operating temperature range of the battery of the energy storage unit;

[0074] Outside the normal operating temperature range of the battery, based on 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;

[0075] By the energy storage unit and Calculate the safety status of the energy storage unit.

[0076] The safety status of the energy storage unit is:

[0077]

[0078] Where, For safe status, The state of charge of the energy storage unit is , health status is , temperature is ,0<i≤ , is the operating temperature threshold.

[0079] 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:

[0080]

[0081] The lower the SOH of the energy storage unit and the higher the temperature T, the lower the safety state.

[0082] Step 3: Allocate power according to power instructions and energy storage unit safety status

[0083] In this step, this embodiment allocates power based on 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%.

[0084] 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 follows:

[0085]

[0086] 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 that moment; N is the number of energy storage system units; and is a constant coefficient.

[0087] The constraints of the objective function include:

[0088] 1) Battery cell SOC constraint

[0089]

[0090] in, 、 Battery energy storage units minimum and maximum limits;

[0091] 2) Unit charge and discharge power constraints

[0092]

[0093] in, Power of a single energy storage unit Maximum value;

[0094] 3) SOC change constraints

[0095]

[0096] in, It is the first peak-shaving unit Battery energy storage units in Time period power, is a period of time, is the capacity of the battery energy storage unit.

[0097] 4) Charge and discharge power conservation constraints

[0098]

[0099] in, for The energy storage system output power at all times.

[0100] Step 4: Estimate the unit safety status based on the energy storage unit SOH and energy storage unit temperature T, and allocate power reasonably.

[0101] 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 the less likely safety accidents will occur, thereby further improving the safety of power station operation.

[0102] In this step, this embodiment adjusts 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.

[0103] Through the above steps, this embodiment can fully consider the impact 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 assess the operating risks of the energy storage unit and ensure the rationality and safety of power distribution.

[0104] 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.

[0105] 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:

[0106] An acquisition module 100 is used to obtain the state of charge, health status, and temperature of each energy storage unit;

[0107] A calculation module 200 is used to calculate the safety state of the energy storage unit based on the state of charge and temperature of the energy storage unit;

[0108] A construction module 300 is used to construct an objective function and constraints for power allocation based on the state of charge, health state, energy storage unit temperature, and safety state;

[0109] The allocation module 400 is used to solve the objective function to obtain a power allocation instruction, and allocate power according to the power allocation instruction and the safety status of the energy storage unit.

[0110] The system is based on the above-mentioned manganese-based lithium-ion battery energy storage system energy management method.

[0111] like Figure 4 As shown, a third object of an embodiment of the present invention is to provide an electronic device, comprising 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 for a manganese-based lithium-ion battery energy storage system when executing the computer program. The electronic device also includes a communication interface 703 and a bus 704.

[0112] A fourth object 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.

[0113] A fifth object 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 of the manganese-based lithium-ion battery energy storage system.

[0114] In the field of power systems, the energy storage system energy management method of the present invention can effectively improve the stability and reliability of the power system. By rationally allocating the power of the energy storage units, the misuse and aging of the energy storage units can be avoided, their service life can be extended, and the normal operation of the power system can be ensured. In addition, the method of the present invention can effectively prevent the energy storage units from overheating, reduce safety risks, and improve the safety of the power system. In the field of energy management, the energy storage system energy management method of the present invention can achieve efficient energy utilization. By rationally allocating the power of the energy storage units, the energy of the energy storage units can be maximized, energy utilization efficiency can be improved, energy waste can be reduced, and sustainable energy development can be achieved. In addition, the method of the present invention can also allocate power based on the health and temperature of the energy storage units, ensuring that the health and temperature of the energy storage units are in an optimal state, extending their service life, and thus reducing energy management costs. In the field of thermal energy management, the energy storage system energy management method of the present invention can effectively control the temperature of the energy storage units, avoiding overheating caused by excessive temperature. By rationally allocating the power of the energy storage units, the temperature of the energy storage units can be effectively controlled, ensuring that they are within the optimal operating temperature range, thereby extending their service life and improving the efficiency of thermal energy management.

[0115] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work 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 The function specified in one or more boxes.

[0116] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0117] The present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to magnetic disk storage, readable storage media, optical storage, etc.) containing computer-usable program code.

[0118] 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 flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, 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 flowcharts and / or block diagrams. 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.

[0119] Obviously, the embodiments described 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 making creative efforts should fall within the scope of protection of the present invention.

[0120] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the 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 by 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 state of charge, health status, and temperature of each energy storage unit; Calculate the safety status of the energy storage unit based on the state of charge and temperature of the energy storage unit; Construct the objective function and constraints for power allocation based on the state of charge, health status, energy storage unit temperature, and safety status; Solving the objective function to obtain the power allocation instruction, and allocating power according to the power allocation instruction and the safety status of the energy storage unit; The safe state of the energy storage unit is: Where, f(T i ,SOH i ) is a safe state, and the state of charge of the i-th energy storage unit is SOC i , health status is SPH i , temperature is T u , 0<i≤N, T0 is the operating temperature threshold; The objective function of the power allocation is: Where: SOC i (t) is the SOC of the energy storage unit at time t; is the average value of the energy storage system SOC at time t; T i (t) is the temperature of the energy storage unit at time t; is the average temperature of the energy storage system at time t; N is the number of energy storage system units; ξ1 and ξ2 are constant coefficients.

2. The energy management method of the manganese-based lithium-ion battery energy storage system according to claim 1, characterized in that: The calculating of the safety state of the energy storage unit according to the state of charge and 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, the relationship between battery temperature T, health state SOH and safety state is established based on the fact that when the battery operating temperature is greater than T0, the battery performance deteriorates faster; The safety status of the energy storage unit is calculated based on the SOH and T of the energy storage unit.

3. 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.

4. 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 SOC min ≤SOC i (t)≤SOC max Among them, SOC min , SOC max The SOC of the battery energy storage unit is i (t) minimum and maximum limits; The unit charge and discharge power constraints are Among them, P max is the power of a single energy storage unit P i (t) maximum value; The SOC change constraint is Among them, P i (t) is the power of the i-th battery energy storage unit in the peak-shaving unit during period t, ΔT is a time period, and S is the capacity of the battery energy storage unit; The charge and discharge power conservation constraint is Among them, P BESS (t) is the output power of the energy storage system at time t.

5. A manganese-based lithium-ion battery energy storage system energy management system, based on the manganese-based lithium-ion battery energy storage system energy management method according to any one of claims 1 to 4, characterized in that: include: An acquisition module is used to obtain the state of charge, health status, and temperature of each energy storage unit; A calculation module, used to calculate the safety status of the energy storage unit based on the state of charge and temperature of the energy storage unit; A construction module is used to 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 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.

6. An electronic device, characterized in that: The invention 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 of the manganese-based lithium-ion battery energy storage system according to any one of claims 1 to 4 when executing the computer program.

7. 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 4 is implemented.

8. 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 4.

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