Power distribution method and system for double-battery-pack hybrid energy storage system

Abstract

The invention discloses a power distribution method and system for a double-battery-pack hybrid energy storage system. The method comprises the following steps that the total power which needs to be provided by the double-battery-pack hybrid energy storage system by a power grid system at the current moment is obtained; frequency domain distribution is carried out on the obtained total power provided by the double-battery-pack hybrid energy storage system, and power pre-borne by the power type battery pack and the energy type battery pack is calculated; judging whether the power required to be pre-borne by a certain battery pack is within the power capability range of the corresponding battery pack, and if the power required to be pre-borne exceeds the maximum power threshold value of the battery pack, assisting in bearing the power exceeding part by another battery pack; and calculating the SOC of the battery pack at the next moment, setting an early warning adjustment factor according to the SOC of the battery pack at the next moment, and dynamically adjusting the power of the energy type battery pack and the power type battery pack by using the early warning adjustment factor to obtain the target output power of the battery pack at the current moment. According to the method, the long-term operation safety of the energy storage system can be improved.

Description

Technical Field

[0001] This invention belongs to the field of hybrid energy storage systems, and specifically relates to a power distribution method for a dual-battery hybrid energy storage system. Background Technology

[0002] With the deepening of the strategic goals of "carbon peaking and carbon neutrality," the installed capacity of renewable energy in the power system continues to expand. The significant volatility and intermittency of new energy sources such as wind and solar power have led to a continuous increase in the pressure on grid frequency regulation, significantly increasing the power system's reliance on flexible regulation resources. Energy storage technology, with its flexible charging and discharging characteristics and rapid dynamic response capabilities, has become a key means to support the grid-connected operation of renewable energy and enhance the grid's frequency regulation capabilities. However, traditional single-type energy storage systems are prone to capacity decay during frequent charging and discharging, severely impacting battery life and system availability. At the same time, a single battery pack often struggles to simultaneously meet the power regulation needs under multiple time scales and types of load disturbances, resulting in insufficient regulation capacity and uneconomical system operation.

[0003] Dual-battery hybrid energy storage systems combine energy-type (e.g., lithium iron phosphate) and power-type (e.g., lithium titanate) energy storage units, leveraging their respective advantages to meet system power requirements while coordinating and regulating energy storage resources, effectively improving overall system performance. Due to the dynamic differences in the various energy storage units, proper power allocation can significantly improve system performance and lifespan. Although current power allocation methods have achieved some success in practice, they still have the following shortcomings: 1. Static allocation mechanisms: Most methods use fixed thresholds or frequency bandwidths, neglecting key factors such as battery characteristics and the safety boundary of SOC, which may lead to energy storage units operating beyond their limits or accelerating degradation. 2. Neglecting the impact of battery lifespan, making it difficult to achieve a balance between performance and lifespan. Summary of the Invention

[0004] The technical problem to be solved by this invention is: how to achieve dynamic power allocation in the power distribution process of a dual-battery hybrid energy storage system, taking into account the SOC boundary and life degradation characteristics of the battery packs, so as to improve the utilization rate of the energy storage system, extend its service life, and improve its economy.

[0005] To solve the above-mentioned technical problems, the present invention adopts the following technical solution:

[0006] A power distribution method for a dual-battery-pack hybrid energy storage system, wherein the dual battery packs are an energy-type battery pack and a power-type battery pack, includes the following steps:

[0007] Obtain the total power that the power grid system needs to provide from the dual-battery hybrid energy storage system at the current moment;

[0008] The total power provided by the dual-battery hybrid energy storage system is frequency-domain allocated, and the power pre-borne by the power battery pack and the energy battery pack are calculated respectively.

[0009] After completing the frequency domain allocation, it is determined whether the power that a certain battery pack needs to pre-bear is within the power capacity range of the corresponding battery pack. If the power that needs to be pre-beared exceeds the maximum power threshold of this battery pack, the excess power will be borne by another battery pack.

[0010] Calculate the SOC of the battery pack at the next moment, and set a warning adjustment factor based on the SOC of the battery pack at the next moment. Use the warning adjustment factor to dynamically adjust the power of the energy type battery pack and the power type battery pack after the maximum power threshold allocation, and obtain the target output power of the energy type battery pack and the power type battery pack at the current moment.

[0011] The aforementioned power allocation method for a dual-battery hybrid energy storage system includes the following process for calculating the power pre-borne by the power-type battery pack and the energy-type battery pack:

[0012] Use a filter to reduce the total power Decomposed into high-frequency power components With low-frequency power components These correspond to the power supplied by the power-type battery pack and the energy-type battery pack, respectively.

[0013] The aforementioned power allocation method for a dual-battery hybrid energy storage system employs a first-order low-pass filter to allocate the total power. Filtering is represented as:

[0014]

[0015] in, The low-frequency power after filtering and decomposition at time t. The low-frequency power after filtering and decomposition at time t-1 is... Total power;

[0016] The filter gain, which controls the filtering speed, is defined as: ,

[0017] Where dt is the system sampling period, The filtering time constant;

[0018] The power of the high-frequency component is obtained by subtracting the power of the low-frequency component from the total power:

[0019] ,

[0020] in, The power of the high-frequency components after decomposition. This represents the power of the low-frequency components after decomposition.

[0021] In the aforementioned power distribution method for a dual-battery hybrid energy storage system, the energy-type battery pack is a lithium iron phosphate battery pack, and the power-type battery pack is a lithium titanate battery pack. If the lithium iron phosphate battery pack exceeds its maximum power threshold, it is expressed as follows:

[0022] ;

[0023]

[0024] in, Pre-allocated power for lithium iron phosphate battery packs This represents the maximum power threshold for lithium iron phosphate battery packs. The power provided by the lithium iron phosphate battery pack at the current moment. The power provided by the lithium titanate battery pack at the current moment.

[0025] The aforementioned power allocation method for a dual-battery hybrid energy storage system includes the following steps for obtaining the target output power of the lithium iron phosphate battery pack and the lithium titanate battery pack at the current moment:

[0026] calculate Time-of-use battery pack SOC: ,

[0027] in, for The state of charge (SOC) of the battery pack at any time. It is the state of charge (SOC) of the battery pack at time t. This represents the charging and discharging current of the battery pack at time t, with positive for discharging and negative for charging. To preset the judgment step size, This refers to the battery's capacity.

[0028] if The state of charge of the battery pack at all times If a certain set value is exceeded, in the next control cycle, the calculated power provided by the two battery packs will be multiplied by a warning adjustment factor. The target output power of the lithium iron phosphate battery pack and the lithium titanate battery pack at the current moment is obtained.

[0029] The aforementioned power allocation method for a dual-battery hybrid energy storage system includes an early warning adjustment factor. The calculation steps are as follows:

[0030] When the battery pack is charging,

[0031] If the state of charge If b1 is greater than or equal to b1, let It equals b2, and the range of constants b1 and b2 is (0,1);

[0032] If the state of charge If it is less than b1, let It equals 1;

[0033] When the battery pack is discharging,

[0034] If the state of charge Less than or equal to (1-b1), let It equals b2;

[0035] If the state of charge If it is greater than (1-b1), let It equals 1.

[0036] The aforementioned power distribution method for a dual-battery hybrid energy storage system further includes: limiting the target output power, including:

[0037] Normalize the current SOC:

[0038]

[0039] in, This represents the current state of charge of the battery pack. , These are the preset minimum cutoff boundary value and the maximum cutoff boundary value, respectively. The normalized position;

[0040] Define discharge regulation factor :

[0041]

[0042] It is a constant; For the preset ratio, , The range is (0,1), indicating Once the position range is exceeded, the amplitude is limited by a ratio less than 1.

[0043] Define the charging regulation factor :

[0044]

[0045] The final power allocation is:

[0046]

[0047] in, , These are the charge and discharge regulation factors, respectively. To calculate the target output power, This represents the maximum allowable power value for the battery pack.

[0048] The aforementioned power allocation method for a dual-battery hybrid energy storage system further includes: calculating the lifetime degradation rate of the two battery packs within a time window w, and adjusting the maximum power of the energy-type battery pack and the power-type battery pack in the next time window according to the lifetime degradation rate.

[0049] The aforementioned power allocation method for a dual-battery hybrid energy storage system includes the following steps for adjusting the maximum power of the energy-type battery pack and the power-type battery pack in the next time window based on their respective lifetime degradation rates:

[0050] Obtain offline calibration or manufacturer-provided curves showing the relationship between cycle life and depth of charge / discharge for energy-type and power-type battery packs;

[0051] The SOC fluctuation of lithium iron phosphate and lithium titanate battery packs within a time window was statistically analyzed using the rainflow counting method. The equivalent number of cycles at different discharge depths was obtained through the relationship curve between cycle life and depth of charge / discharge. Then, the battery life decay rate was calculated using the Miner damage accumulation method. :

[0052]

[0053] In the formula, For the depth of discharge is Cycle lifespan at that time This represents the number of times the i-th DOD is counted within the window time.

[0054] Compare the life degradation rates of the two battery packs. If the difference between their life degradation rates is greater than a set value, set the power amplitude of the battery pack with the larger life degradation rate to 70-90% of the maximum value in the next time window.

[0055] A computer device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the computer program to implement the above-described hybrid energy storage power distribution method.

[0056] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-described power distribution method for a hybrid energy storage system.

[0057] The technical effects achieved by this invention are as follows: The power allocation method for a dual-battery-pack hybrid energy storage system proposed in this invention achieves refined power allocation by integrating frequency decomposition and power amplitude judgment, while introducing SOC boundary control of the battery pack. This breaks through the limitations of existing methods that rely on fixed thresholds and static control strategies, and significantly improves the long-term operational safety, stability and economy of the energy storage system.

[0058] At the same time, the degradation characteristics of different battery packs are fully considered to avoid accelerated degradation caused by long-term high-load operation. While meeting the system response performance, life loss is effectively suppressed, and synergistic optimization between performance and life is achieved. Attached Figure Description

[0059] To more clearly illustrate the technical solutions and advantages of the present invention, the accompanying drawings used in the embodiments will be briefly described below.

[0060] Figure 1 This is a flowchart of a power distribution method for a dual-battery-pack hybrid energy storage system in Example 3 of the present invention;

[0061] Figure 2 This is a schematic diagram of the lithium iron phosphate battery LD in Example 3 of the present invention;

[0062] Figure 3 This is a schematic diagram of the lithium titanate battery LD in Example 3 of the present invention;

[0063] Figure 4 This is a schematic diagram of the operating current of the two battery packs in Example 3 of the present invention;

[0064] Figure 5 This is a schematic diagram of the SOC of the two battery packs in Example 3 of the present invention;

[0065] Figure 6 This is a schematic diagram of the power distribution between the two battery packs in Example 3 of the present invention;

[0066] Figure 7 This is a schematic diagram of the lifespan degradation of the two battery packs in Example 3 of the present invention. Detailed Implementation

[0067] The invention will be further illustrated below with specific examples and accompanying drawings.

[0068] Example 1

[0069] This embodiment provides a power distribution method for a dual-battery-pack hybrid energy storage system, wherein the dual battery packs are an energy-type battery pack and a power-type battery pack, the energy-type battery pack being a lithium iron phosphate battery pack and the power-type battery pack being a lithium titanate battery pack, and includes the following steps:

[0070] Step S1: Obtain the total power that the power grid system needs to provide from the dual-battery hybrid energy storage system at the current moment. It is a power command issued by the power grid system to the energy storage system;

[0071] Step S2: Calculate the total power provided by the dual-battery hybrid energy storage system. Frequency domain allocation is performed to calculate the power pre-borne by the power battery pack and the energy battery pack, respectively;

[0072] For total power Frequency domain decomposition is performed, and a filter is used to convert the total power. Decomposed into high-frequency power components With low-frequency power components These correspond to the power supplied by the power-type battery pack and the energy-type battery pack, respectively, and in this embodiment, they correspond to lithium titanate and lithium iron phosphate battery packs, respectively.

[0073] Specifically, a first-order low-pass filter can be used to filter the total power. Filtering is represented as:

[0074]

[0075] in, The low-frequency power after filtering and decomposition at time t. The low-frequency power after filtering and decomposition at time t-1 is... This represents the total power.

[0076] The filter gain, which controls the filtering speed, is defined as:

[0077]

[0078] Where dt is the system sampling period, This is the filtering time constant.

[0079] The power of the high-frequency component is obtained by subtracting the power of the low-frequency component from the total power:

[0080]

[0081] in, The power of the high-frequency components after decomposition. This represents the power of the low-frequency components after decomposition.

[0082] Step S3: After completing the frequency domain allocation, determine whether the power that a certain battery pack needs to pre-bear is within the power capacity range of the corresponding battery pack. If the power that needs to be pre-beared exceeds the maximum power threshold of this battery pack, the excess power will be assisted by another battery pack to ensure the continuity of system output and meet the total power output requirements.

[0083] If the lithium iron phosphate battery pack exceeds the maximum power threshold of this battery pack, it is expressed as follows:

[0084] ;

[0085]

[0086] in, Pre-allocated power for lithium iron phosphate battery packs This represents the maximum power threshold for lithium iron phosphate battery packs. The power provided by the lithium iron phosphate battery pack at the current moment. The power provided by the lithium titanate battery pack at the current moment.

[0087] Step S4: To avoid the battery pack falling into the power regulation dead zone, the SOC is predicted in advance. The SOC of the battery pack at the next moment is calculated, and a warning adjustment factor is set according to the SOC of the battery pack at the next moment. Utilizing early warning adjustment factors The power of the lithium iron phosphate battery pack and lithium titanate battery pack, allocated in step S3, is dynamically adjusted to obtain the target output power of the lithium iron phosphate battery pack and lithium titanate battery pack at the current moment. , ,include:

[0088] calculate Time-of-use battery pack SOC:

[0089] in, for The state of charge (SOC) of the battery pack at any time. It is the state of charge (SOC) of the battery pack at time t. This represents the charging and discharging current of the battery pack at time t, with positive for discharging and negative for charging. To preset the judgment step size, This refers to the battery capacity.

[0090] if The state of charge of the battery pack at all times If a certain set value is exceeded, there is a risk of entering the charging restriction zone and the cutoff zone. In the next control cycle, the power allocated in step S3 will be adjusted by multiplying the power provided by the two battery packs calculated in step S3 by a warning adjustment factor. The target output power of the lithium iron phosphate battery pack and the lithium titanate battery pack at the current moment is obtained.

[0091] Early warning adjustment factor The calculation steps are as follows:

[0092] When the battery pack is charging,

[0093] If the state of charge If b1 is greater than or equal to b1, let b1 and b2 are both in the range of (0,1). In this embodiment, b1=0.75 and b2=0.9.

[0094] If the state of charge If it is less than b1, let It equals 1;

[0095] When the battery pack is discharging,

[0096] If the state of charge Less than or equal to (1-b1), let It equals b2;

[0097] If the state of charge If it is greater than (1-b1), let It equals 1.

[0098] Example 2

[0099] Based on the steps of Example 1, the method further includes:

[0100] Step S5: To avoid the allocated power exceeding the battery pack's maximum power threshold, a power amplitude is set to ensure the battery pack power remains within a safe range. After completing the frequency decomposition, amplitude allocation, SOC constraint check, and optimization calculation of the power signal, the target output power of the lithium iron phosphate battery pack and the lithium titanate battery pack at the current moment is obtained. , To further ensure the stability and safety of system operation, the target output power is limited, including:

[0101] Normalize the current SOC:

[0102]

[0103] in, This represents the current state of charge of the battery pack. , These are the preset minimum cutoff boundary value and the maximum cutoff boundary value, respectively. This represents the normalized position.

[0104] Define discharge regulation factor :

[0105]

[0106] constant 0.15 can be taken;

[0107] In the formula, For the preset ratio, , The range is (0,1), indicating that Once the position range is exceeded, the amplitude is limited by a ratio less than 1, such as 0.2.

[0108] Define the charging regulation factor :

[0109]

[0110] The final power allocation is:

[0111]

[0112] in, , These are the charge and discharge regulation factors, respectively. The target output power calculated in step S4, This represents the maximum allowable power value for the battery pack.

[0113] Example 3

[0114] Based on the steps of Example 2, the method further includes:

[0115] Step S6: Calculate the life decay rate of the two battery packs within the time window w, and adjust the maximum power of the energy type battery pack and the power type battery pack in the next time window according to the life decay rate.

[0116] Battery lifespan is affected by charge / discharge frequency, amplitude, and depth. To improve the long-term operating capability of the system, while satisfying the aforementioned constraints, the lifespan degradation within the calculation window is determined, and battery cells with smaller degradation are prioritized for scheduling.

[0117] like Figure 2 and Figure 3 As shown, the relationship curves between the cycle life and depth of charge / discharge of energy-type and power-type battery packs, obtained through offline calibration or provided by the manufacturer, are known as LD curves.

[0118] The SOC fluctuation of lithium iron phosphate and lithium titanate battery packs within a time window was statistically analyzed using the rainflow counting method. The equivalent cycle number for different depths of discharge was obtained through the LD curve. Then, the battery life decay rate was calculated using the Miner damage accumulation method. :

[0119]

[0120] In the formula, For the depth of discharge is Cycle lifespan at that time This represents the number of times the i-th DOD is counted within the window time.

[0121] Compare the lifespan degradation rates of the two battery packs. If the difference between their lifespan degradation rates is greater than a set value, the power amplitude of the battery pack with the larger lifespan degradation rate in the next time window is set to 70-90% of its maximum value. In this embodiment, 80% is used. , This represents the maximum power output of a battery pack with significant lifespan degradation.

[0122] like Figure 4 The image shows the current values ​​of the two battery packs during operation. The lithium titanate battery pack exhibits a faster current change frequency and a larger rate of change. Figure 5 The figure shows the SOC change curves of the two battery packs during operation. During charging, the SOC of lithium titanate approaches 75%, triggering a warning adjustment factor. The slope of the SOC curve is significantly reduced due to the effect of this. Figure 6 The diagram shows the power distribution curves during the operation of the two battery packs. High-frequency and high-amplitude power is primarily handled by the lithium titanate battery pack. For example... Figure 7 As shown, by introducing SOC boundary control of the battery pack, the life degradation characteristics of different battery packs are taken into account, effectively suppressing life loss. By dynamically allocating power values, the performance and lifespan of the battery pack are improved.

[0123] Example 4

[0124] A computer system includes a memory, a processor, and a computer program stored in the memory, the processor executing the computer program to perform the steps of the methods described in Examples 1-3.

[0125] Example 5

[0126] A computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the steps of the methods described in Examples 1-3.

[0127] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations 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, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1A device that provides the functions specified in one or more boxes.

[0128] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0129] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0130] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A power distribution method for a dual-battery-pack hybrid energy storage system, characterized in that, The dual battery packs are an energy-type battery pack and a power-type battery pack, and include the following steps: Obtain the total power that the power grid system needs to provide from the dual-battery hybrid energy storage system at the current moment; The total power provided by the dual-battery hybrid energy storage system is frequency-domain allocated, and the power pre-borne by the power battery pack and the energy battery pack are calculated respectively. After completing the frequency domain allocation, it is determined whether the power that the current battery pack needs to pre-bear is within the power capacity range of the corresponding battery pack. If the power that needs to be pre-bear exceeds the maximum power threshold of the current battery pack, the excess power will be borne by another battery pack. Calculate the SOC of the battery pack at the next moment, and set a warning adjustment factor based on the SOC of the battery pack at the next moment. Use the warning adjustment factor to dynamically adjust the power of the energy type battery pack and the power type battery pack after the maximum power threshold allocation, and obtain the target output power of the energy type battery pack and the power type battery pack at the current moment.

2. The power distribution method for a dual-battery-pack hybrid energy storage system according to claim 1, characterized in that, The process of calculating the power to be pre-borne by the power-type battery pack and the energy-type battery pack respectively includes: Use a filter to reduce the total power Decomposed into high-frequency power components With low-frequency power components These correspond to the power supplied by the power-type battery pack and the energy-type battery pack, respectively.

3. The power distribution method for a dual-battery-pack hybrid energy storage system according to claim 2, characterized in that, Use a filter to reduce the total power Decomposed into high-frequency power components With low-frequency power components The process includes: A first-order low-pass filter is used to filter the total power. Filtering is represented as: ； in, The low-frequency power after filtering and decomposition at time t. The low-frequency power after filtering and decomposition at time t-1 is... Total power; The filter gain is expressed as: , Where dt is the system sampling period, The filtering time constant; The power of the high-frequency component is obtained by subtracting the power of the low-frequency component from the total power: ， in, The power of the high-frequency components after decomposition. This represents the power of the low-frequency components after decomposition.

4. The power distribution method for a dual-battery-pack hybrid energy storage system according to claim 3, characterized in that, After completing the frequency domain allocation, it is determined whether the power that the current battery pack needs to pre-handle is within the power capacity range of the corresponding battery pack. If the power that needs to be pre-handled exceeds the maximum power threshold of the current battery pack, the excess power will be assisted by another battery pack, including: If the energy-type battery pack is a lithium iron phosphate battery pack and the power-type battery pack is a lithium titanate battery pack, and if the lithium iron phosphate battery pack exceeds its maximum power threshold, then the power provided by the lithium iron phosphate battery pack and the lithium titanate battery pack at the current moment are respectively expressed as: ； ； in, Pre-allocated power for lithium iron phosphate battery packs This represents the maximum power threshold for lithium iron phosphate battery packs. The power provided by the lithium iron phosphate battery pack at the current moment. The power provided by the lithium titanate battery pack at the current moment.

5. The power distribution method for a dual-battery-pack hybrid energy storage system according to claim 1, characterized in that, The steps to obtain the target output power of the lithium iron phosphate battery pack and the lithium titanate battery pack at the current moment include: calculate Time-of-use battery pack SOC: , in, for Time of battery pack SOC, It is the state of charge (SOC) of the battery pack at time t. This represents the charging and discharging current of the battery pack at time t, with positive for discharging and negative for charging. To preset the judgment step size, This refers to the battery's capacity. if The state of charge of the battery pack at all times If a certain set value is exceeded, in the next control cycle, the calculated power provided by the two battery packs will be multiplied by a warning adjustment factor. The target output power of the lithium iron phosphate battery pack and the lithium titanate battery pack at the current moment is obtained.

6. The power distribution method for a dual-battery-pack hybrid energy storage system according to claim 5, characterized in that, Early warning adjustment factor The calculation steps are as follows: When the battery pack is charging, If the state of charge If b1 is greater than or equal to b1, let It equals b2, and the range of constants b1 and b2 is (0,1); If the state of charge If b1 is less than b1, let It equals 1; When the battery pack is discharging, If the state of charge Less than or equal to (1-b1), let It equals b2; If the state of charge If it is greater than (1-b1), let It equals 1.

7. The power distribution method for a dual-battery-pack hybrid energy storage system according to claim 6, characterized in that, Also includes: Limiting control of the target output power includes: Normalize the current SOC: ； in, This represents the current state of charge of the battery pack. , These are the preset minimum cutoff boundary value and the maximum cutoff boundary value, respectively. The normalized position; Define discharge regulation factor : ； It is a constant; For the preset ratio, , The range is (0,1), indicating that Once the position range is exceeded, the amplitude is limited by a ratio less than 1. Define the charging regulation factor : ； The final power allocation is: ； in, , These are the charge and discharge regulation factors, respectively. To calculate the target output power, This represents the maximum allowable power value for the battery pack.

8. The power distribution method for a dual-battery-pack hybrid energy storage system according to claim 1, characterized in that, Also includes: Calculate the life decay rate of the two battery packs within the time window w, and adjust the maximum power of the energy type battery pack and the power type battery pack in the next time window according to the life decay rate.

9. The power distribution method for a dual-battery-pack hybrid energy storage system according to claim 8, characterized in that, The steps for adjusting the maximum power of energy-type battery packs and power-type battery packs in the next time window based on their lifespan degradation rate include: Obtain offline calibration or manufacturer-provided curves showing the relationship between cycle life and depth of charge / discharge for energy-type and power-type battery packs; The SOC fluctuation of energy-type and power-type battery packs within a time window was statistically analyzed using the rainflow counting method. The equivalent number of cycles at different discharge depths was obtained by analyzing the relationship curve between cycle life and depth of charge / discharge. Then, the battery life degradation rate was calculated using the Miner damage accumulation method. : ； In the formula, For the depth of discharge is Cycle lifespan at that time This represents the number of times the i-th DOD is counted within the window time. Compare the life degradation rates of the two battery packs. If the difference between their life degradation rates is greater than a set value, set the power amplitude of the battery pack with the larger life degradation rate to 70-90% of the maximum value in the next time window.

10. A computer device comprising: The memory and processor contain a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement the hybrid energy storage power distribution method as described in any one of claims 1-9.

11. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the power distribution method for a hybrid energy storage system as described in any one of claims 1-9.

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