Method and device for controlling full-life-cycle collaborative decline alternation of energy storage battery

Abstract

The invention discloses an energy storage battery full life cycle collaborative decline rotation control method and device, and relates to the technical field of energy storage battery management and evaluation, and the method comprises the steps: determining the rotation cycle of an energy storage battery module; according to the health parameter states of all the energy storage battery modules, determining the alternating number of the control cycle, and according to the SOH, the accumulated working time and the working temperature of the energy storage battery modules, evaluating the energy storage battery modules; determining a working module set and a redundant module set which bear the load demand according to the operation state evaluation result and the rotation number of each energy storage battery module; decomposing the total power demand into a high-frequency component and a low-frequency component, and scheduling and distributing the high-frequency component and the low-frequency component based on the SOH of each energy storage battery module in the working module set and the redundant module set to obtain a load distribution result of each energy storage battery module; optimizing health states among the energy storage battery modules in the control period process; the service life of the energy storage system can be prolonged.

Description

Technical Field

[0001] This application relates to the fields of energy storage battery management and evaluation technology, and in particular to a method and device for coordinated degradation and rotation control of energy storage batteries throughout their entire life cycle. Background Technology

[0002] In renewable energy power plants, energy storage systems generally adopt a three-tier architecture (individual battery cells → battery modules → battery clusters). Typically, 5%-10% redundant units are reserved at the module or cluster level for emergency fault handling. The energy storage system uses a Cell Monitoring Unit (CMU) to collect real-time data on the voltage, temperature, and current of each battery cell and uploads the data to the core module of the Battery Management System (BMS). The BMS's active control commands are generally issued to the battery module and battery cluster levels. While ensuring the safety of the energy storage batteries, it dynamically adjusts the charging and discharging power and timing by monitoring grid load, renewable energy output, and electricity price signals in real time.

[0003] Battery State of Health (SOH) is a key variable to focus on in control strategies. Existing active / passive balancing technologies mitigate SOH degradation in energy storage batteries by optimizing energy distribution and operating states among individual cells. Passive balancing at the cell level dissipates excess energy from high-voltage cells through parallel resistors (e.g., releasing approximately 5%-10% of the charge at the end of charging), suppressing electrolyte decomposition and SEI film thickening caused by overcharging. Active balancing at the module level utilizes inductive / capacitive circuits to transfer energy (e.g., transferring energy across 3-4 cells between adjacent cells), reducing mechanical stress on electrode materials during deep charge-discharge cycles, while simultaneously suppressing side reactions caused by temperature gradients through liquid cooling pipes within the module. At the cluster level, a bus architecture dynamically schedules energy between high / low capacity clusters (e.g., prioritizing the release of energy from high-capacity clusters and replenishing energy from low-capacity clusters), reducing the cluster capacity degradation rate of energy storage batteries by 20%-40%.

[0004] A module of energy storage batteries is defined as an energy storage battery cell. Under existing control methods, the redundant parts of the energy storage system are completely inactive until the existing energy storage battery cells fail, and their potential to balance the states among multiple energy storage battery cells and extend the overall lifespan of the energy storage system has not been fully explored. Summary of the Invention

[0005] The purpose of this application is to provide a method and device for coordinated degradation and rotation control of energy storage batteries throughout their entire life cycle, which can extend the service life of energy storage systems.

[0006] To achieve the above objectives, this application provides the following solution:

[0007] Firstly, this application provides a method for coordinated degradation and rotation control of energy storage batteries throughout their entire lifecycle, including:

[0008] Determine the replacement cycle of the energy storage battery module; the energy storage battery module is divided into a working pool and a redundant pool;

[0009] The number of control cycle rotations is determined based on the health parameter status of all the energy storage battery modules.

[0010] For each energy storage battery module, the energy storage battery module is evaluated based on its SOH, cumulative working time, and operating temperature to obtain the operating status evaluation result of the energy storage battery module;

[0011] Based on the operational status assessment results and the number of control cycle rotations of each energy storage battery module, determine the set of working modules and the set of redundant modules to bear the load requirements; the set of working modules includes several working pools; the set of redundant modules includes several redundant pools.

[0012] The total power demand is decomposed into high-frequency and low-frequency components using wavelet transform algorithm. Based on the SOH of each energy storage battery module in the working module set and the redundant module set, the high-frequency and low-frequency components are scheduled and allocated to obtain the load allocation result of each energy storage battery module participating in the operation within the control cycle.

[0013] During the control cycle, the health status of each energy storage battery module is optimized.

[0014] Optionally, the energy storage battery full life cycle coordinated degradation rotation control method further includes:

[0015] During the control cycle, it is determined whether the real-time SOH of the energy storage battery module is within the set retirement SOH range. If so, the energy storage battery module is a first-level retirement energy storage battery module, and a replacement alarm is issued. A first-level retirement energy storage battery module is activated when the normal energy storage battery module cannot meet the charging and discharging requirements. A normal energy storage battery module is an energy storage battery module whose real-time SOH is greater than the upper limit of the set retirement SOH range.

[0016] When the real-time SOH of the energy storage battery module is less than the lower limit of the set retirement SOH range, if so, the energy storage battery module is a level 2 retirement energy storage battery module, and an alarm prompt will be issued indicating that it needs to be replaced immediately; a level 2 retirement energy storage battery module is an energy storage battery module that cannot be used.

[0017] Optionally, the formula for calculating the rotation cycle is as follows:

[0018]

[0019] Where T is the rotation period; T maxThis represents the upper limit of continuous battery operation; k1 and k2 are adjustment coefficients; F is the power fluctuation index; This represents the current average health status of the energy storage system; the energy storage system includes several energy storage battery clusters; each energy storage battery cluster includes several energy storage battery modules; each energy storage battery module includes several energy storage battery cells connected in series.

[0020] Optionally, the number of control cycle rotations is determined based on the health parameter status of all the energy storage battery modules, specifically including:

[0021] For each energy storage battery module, based on the health parameter status of the energy storage battery module, it is determined whether the set safety judgment conditions are met, and the number of unqualified modules is determined; the number of unqualified modules is the number of energy storage battery modules that do not meet the set safety judgment conditions.

[0022] When the number of non-conforming items is 0, the number of control cycle rotations is: Where N(t) is the number of cycles in control period t; P max For maximum power demand, P unit This represents the maximum power requirement that a single energy storage battery module can provide; K is the total number of energy storage battery modules. This represents the floor function;

[0023] When the number of non-conforming items is not zero, the number of control cycle rotations is: Where M represents the number of non-conforming items.

[0024] Optionally, the calculation formula for the operating status assessment result of the energy storage battery module is as follows:

[0025]

[0026] Among them, Score i This represents the operational status evaluation result of the i-th energy storage battery module; w1, w2, and w3 are weighting coefficients; SOH i Let t be the SOH value of the i-th energy storage battery module; i t is the cumulative operating time of the i-th energy storage battery module; max This is the maximum working time; T opt This is the optimal operating temperature for energy storage battery modules, T i It is the current operating temperature of the i-th energy storage battery module.

[0027] Optionally, the set of working modules and the set of redundant modules to bear the load demand are determined based on the operating status evaluation results of each energy storage battery module and the number of rotations in the control cycle, specifically including:

[0028] Based on the operational status assessment results of each energy storage battery module, the operational status assessment results of all working pools and all redundant pools are sorted in descending order, with the operational pools' operational status assessment results ranked first. Each energy storage battery module determines the set of working modules to bear the load demand. From the redundancy pool, the top N2 = N(t) - N1 energy storage battery modules determine the set of redundant modules to bear the load demand; N(t) is the number of rotations in the control cycle. This represents the function for rounding up.

[0029] Optionally, based on the State of Health (SOH) of each energy storage battery module in the working module set and the redundant module set, high-frequency and low-frequency components are scheduled and allocated to obtain the load allocation results of each energy storage battery module participating in the operation within the control cycle, specifically including:

[0030] For high-frequency components, the State of Harm (SOH) of the working pools participating in the operation within the control cycle is sorted, and the top 30% of the energy storage battery modules with the highest SOH in the working pools within the control cycle are selected. Task scheduling and allocation are then performed according to the high-frequency task allocation rule formula to obtain the load allocation result for each energy storage battery module in the working pools participating in the operation within the control cycle. The high-frequency task allocation rule formula is as follows: Among them, P assign,i To control the load allocation result of the i-th energy storage battery module in the working pool participating in the operation during the control cycle; P high For high-frequency components; SOH i This represents the SOH value of the i-th energy storage battery module in the working pool that participates in the operation during the control cycle. The number of energy storage battery modules in the working pool that rank in the top 30% of SOH during the control cycle. SOH represents the floor function; j Let SOH be the value of the j-th energy storage battery module;

[0031] For low-frequency components, an equal-sharing strategy is adopted to schedule and allocate tasks to the remaining energy storage battery modules, resulting in the load allocation of each energy storage battery module among the remaining energy storage battery modules participating in the operation during the control cycle. The remaining energy storage battery modules include the energy storage battery modules with the lowest SOH ranking in the working pool and all redundant pools participating in the operation during the control cycle.

[0032] Optionally, during the control cycle, the health status of each energy storage battery module is optimized, specifically including:

[0033] When the SOH value of the energy storage battery module is greater than the average SOH value of the energy storage system, the charging and discharging current of the energy storage battery module is increased; the energy storage system includes several energy storage battery clusters; the energy storage battery clusters include several energy storage battery modules; the energy storage battery modules include several energy storage battery cells connected in series.

[0034] When the SOH value of the target energy storage battery module is greater than that of the surrounding energy storage battery modules, and the difference between the SOH values ​​of the target energy storage battery module and the surrounding energy storage battery modules is greater than a set difference, the target energy of the target energy storage battery module is transferred to the surrounding energy storage battery modules; the target energy storage battery module and the surrounding energy storage battery modules belong to the same energy storage battery cluster; the target energy is determined based on the SOH values ​​of the target energy storage battery module and the surrounding energy storage battery modules.

[0035] For energy storage battery modules that are not involved in operation during the current cycle, the optimal energy storage temperature of the energy storage battery module is dynamically adjusted based on the SOH value of the energy storage battery module.

[0036] Secondly, this application provides a computer device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-described energy storage battery full life cycle coordinated degradation rotation control method.

[0037] Thirdly, this application provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the above-mentioned energy storage battery full life cycle coordinated degradation rotation control method.

[0038] According to the specific embodiments provided in this application, the following technical effects are disclosed:

[0039] This application provides a method and apparatus for coordinated degradation rotation control of energy storage batteries throughout their entire life cycle. First, the rotation cycle of the energy storage battery modules is determined. Second, the number of rotations in the control cycle is determined based on the health parameter status of all energy storage battery modules. For each energy storage battery module, the module's state of operation (SOH), cumulative operating time, and operating temperature are evaluated to obtain the module's operating status evaluation result. Then, based on the operating status evaluation results of each energy storage battery module and the number of rotations in the control cycle, a set of working modules and a set of redundant modules are determined to handle the load demand. Finally, a wavelet transform algorithm is used to decompose the total power demand into high-frequency and low-frequency components, and the high-frequency and low-frequency components are scheduled and allocated based on the SOH of each energy storage battery module in the working and redundant module sets to obtain the load allocation result of each energy storage battery module participating in operation within the control cycle. Furthermore, the health status of each energy storage battery module is optimized during the control cycle. This application first performs energy storage battery module rotation, then evaluates the energy storage battery modules based on their State of Health (SOH), cumulative operating time, and operating temperature to obtain the operating status evaluation results. Using a wavelet transform algorithm, the total power demand is decomposed into high-frequency and low-frequency components. Based on the SOH of each energy storage battery module in the working and redundant module sets, the high-frequency and low-frequency components are scheduled and allocated to obtain the load allocation results for each participating energy storage battery module within the control cycle. Finally, during the control cycle, the health status of each energy storage battery module is optimized, and the phased output control of the energy storage batteries, which changes with the SOH of the energy storage battery module units, is implemented to reduce the differences between energy storage battery modules and achieve SOH coordination among multiple energy storage battery module units throughout their entire life cycle, thereby extending the service life of the energy storage system. Attached Figure Description

[0040] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0041] Figure 1 This is an application environment diagram of a collaborative degradation and rotation control method for the entire life cycle of an energy storage battery according to one embodiment of this application.

[0042] Figure 2 This is a flowchart illustrating a collaborative degradation and rotation control method for the entire life cycle of an energy storage battery, provided as an embodiment of this application.

[0043] Figure 3This is a schematic diagram illustrating the specific process of a collaborative degradation and rotation control method for the entire life cycle of an energy storage battery, provided in an embodiment of this application.

[0044] Figure 4 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application. Detailed Implementation

[0045] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0046] Existing control methods for energy storage battery units simply transfer energy from high-SOH modules to low-SOH modules to reduce the "weakest link" effect, without considering dynamic adjustments to the control algorithm based on SOH. Related technologies offer a rotating optimization control method and device for photovoltaic-energy storage power stations, dividing the operating states of battery units into three categories: rated power operation, fluctuating power operation, and shutdown. This allows each battery unit to operate in rotation between these three states, achieving a balance in battery unit operating time and a rotating system for battery operating states, but it does not consider changes in the SOH state of the battery units. Related technologies also provide a power allocation and rotating control method for energy storage power stations based on piecewise fuzzy control, which rationally allocates the power of each energy storage unit according to the required amount of renewable energy power to be absorbed, but similarly, it does not consider changes in the SOH state of the battery units. Therefore, a phased rotating output control method for energy storage batteries that adapts to changes in the SOH of the battery module units is needed to achieve SOH coordination among multiple energy storage battery module units throughout their entire lifecycle, thereby extending the service life of the energy storage system.

[0047] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0048] The energy storage battery full-lifecycle coordinated degradation and rotation control method provided in this application embodiment can be applied to, for example... Figure 1In the application environment shown, terminal 102 communicates with server 104 via a network. A data storage system can store the data that server 104 needs to process. The data storage system can be set up independently, integrated into server 104, or placed in the cloud or on other servers. Terminal 102 can send requests to be processed to server 104. After receiving the requests, server 104 determines the rotation cycle of the energy storage battery modules, determines the number of rotations in the control cycle based on the health parameter status of all energy storage battery modules, evaluates the energy storage battery modules based on their SOH, cumulative working time, and operating temperature, and determines the set of working modules and the set of redundant modules to bear the load demand based on the evaluation results and the number of rotations. The total power demand is decomposed into high-frequency and low-frequency components, and the high-frequency and low-frequency components are scheduled and allocated based on the SOH of each energy storage battery module in the working and redundant sets to obtain the load allocation results for each energy storage battery module. During the control cycle, the health status of each energy storage battery module is optimized. Server 104 can feed back the obtained load allocation results to terminal 102. In addition, in some embodiments, the energy storage battery full life cycle collaborative degradation rotation control method can also be implemented by server 104 or terminal 102 alone. For example, terminal 102 can directly perform rotation control processing on the requests to be processed, or server 104 can obtain the requests to be processed from the data storage system and perform rotation control processing on the requests to be processed.

[0049] The terminal 102 can be, but is not limited to, various desktop computers, laptops, and tablets. The server 104 can be implemented using a standalone server or a server cluster consisting of multiple servers, or it can be a cloud server.

[0050] In one exemplary embodiment, such as Figure 2 As shown, a method for coordinated degradation and rotation control of energy storage batteries throughout their entire lifecycle is provided. This method is executed by a computer device, specifically by a terminal or server alone, or by both a terminal and a server. In this embodiment, the method is applied to... Figure 1 Taking server 104 as an example, the explanation includes the following steps 201 to 206.

[0051] Step 201: Determine the replacement cycle of the energy storage battery module; the energy storage battery module is divided into a working pool and a redundant pool.

[0052] Step 202: Determine the number of control cycles to be rotated based on the health parameter status of all the energy storage battery modules.

[0053] Step 203: For each energy storage battery module, evaluate the energy storage battery module based on its SOH, cumulative working time, and operating temperature to obtain the operating status evaluation result of the energy storage battery module.

[0054] Step 204: Determine the set of working modules and the set of redundant modules to bear the load requirements based on the operating status evaluation results and the number of control cycle rotations of each energy storage battery module; the set of working modules includes several working pools; the set of redundant modules includes several redundant pools.

[0055] Step 205: The total power demand is decomposed into high-frequency and low-frequency components using a wavelet transform algorithm. Based on the SOH of each energy storage battery module in the working module set and the redundant module set, the high-frequency and low-frequency components are scheduled and allocated to obtain the load allocation results of each energy storage battery module participating in the operation within the control cycle.

[0056] Step 206: During the control cycle, optimize the health status of each energy storage battery module.

[0057] Implementing steps 201 to 206 above involves first rotating the energy storage battery modules, then decomposing the total power demand into high-frequency and low-frequency components using a wavelet transform algorithm. Based on the State of Health (SOH) of each energy storage battery module in the working and redundant module sets, the high-frequency and low-frequency components are scheduled and allocated to obtain the load allocation results of each energy storage battery module participating in the operation during the control cycle. Finally, during the control cycle, the health status of each energy storage battery module is optimized, and the phased output control of the energy storage batteries is implemented according to the SOH changes of the energy storage battery module units. This reduces the differences between energy storage battery modules and achieves SOH coordination of multiple energy storage battery module units throughout the entire life cycle, thereby extending the service life of the energy storage system.

[0058] (1) Overview of the hardware and functional architecture of the energy storage system: The energy storage system adopts a three-level architecture. Multiple energy storage battery cells are connected in series to form energy storage battery modules, multiple energy storage battery modules are connected in parallel to form energy storage battery clusters, and multiple energy storage battery clusters are connected in parallel to form the energy storage system. The system reserves 10% of the energy storage battery cells. Each energy storage battery cell has an independent state monitoring unit, which can collect or evaluate the following state parameters in real time: SOH (State of Health), SOC (State of Charge), internal resistance, and temperature. In addition, ESMS (Energy Storage Management System) can analyze and record historical data such as the cumulative number of charge-discharge cycles, recent capacity decay rate, and maximum charge-discharge rate of each energy storage battery cell.

[0059] The State of Harmony (SOH) of an energy storage battery module is defined as the average SOH of all individual energy storage battery cells within that module; the State of Harmony (SOH) of an energy storage battery cluster is the average SOH of all energy storage battery modules within that cluster, and also the average SOH of all individual energy storage battery cells.

[0060] The same energy storage battery cluster can exhibit a "fast decay - slow decay" differentiation due to different task types, ultimately forcing the overall cabinet capacity to shrink based on the "weakest energy storage battery module". This application aims to minimize the State of Health (SOH) difference between energy storage battery modules. Through a three-step control process of "rotation, division of labor, and balancing", the SOH trajectory of all energy storage battery modules is compressed into the same slowly declining curve, thereby shifting the overall energy storage system's retirement threshold back by 3-5 years and extending the service life of the energy storage system.

[0061] (2) The core process of dynamic rotation control includes the following steps (2.1) to (2.5).

[0062] like Figure 3 As shown, the battery modules are first grouped and numbered: all energy storage battery modules are divided into a working pool (90% conventional energy storage battery modules) and a redundant pool (10% redundant energy storage battery modules), but both participate in rotation. The working pool undertakes basic output tasks and is numbered 1 to 0.9K; the redundant pool participates in rotation normally, but has a lower priority than the working pool and is numbered 0.9K+1 to K. K is the total number of energy storage battery modules.

[0063] (2.1) Determining the rotation period T (before the start of the control period): Define the power fluctuation index F as the power P(t) at the current moment within 10 minutes. j ) and the power P(t) at the previous moment j-1 The absolute value of the difference exceeds the rated power P of the energy storage system. rated If the number of rotations is 30% of the time, then the formula for calculating the rotation cycle is as shown in equation (1).

[0064]

[0065] Where T is the rotation period; T max This represents the manufacturer's recommended upper limit for continuous battery operation; k1 and k2 are adjustment coefficients determined using historical data from the site, including SOH (State of Health), SOC (State of Charge), internal resistance, temperature, and historical data such as the cumulative charge-discharge cycle count, recent capacity decay rate, and maximum charge-discharge rate of individual energy storage battery cells collected by the condition monitoring unit; F is the power fluctuation index, which is the power P(t) of the energy storage system at the current moment within 10 minutes. j ) and the power P(t) at the previous moment j-1 The absolute value of the difference exceeds the rated power P of the energy storage system. rated 30% of the times; This represents the current average health status of the energy storage system; the energy storage system includes several energy storage battery clusters; each energy storage battery cluster includes several energy storage battery modules; each energy storage battery module includes several energy storage battery cells connected in series.

[0066] (2.2) Rotation strategy (before the start of the control cycle).

[0067] Initial rotation quantity P max P represents the maximum possible power demand. unit This represents the maximum power requirement that a single energy storage battery module can provide. This represents the function for rounding up.

[0068] Before the start of the control cycle, the parameter status of all energy storage battery modules is assessed to determine if any modules fail to meet safety requirements and need to be removed from the rotation scope. The safety judgment conditions are set as follows: ① State of Hypothesis (SOH) ≤ 80%; ② Internal resistance increase ≥ 20% in the previous cycle; ③ SOH of a certain energy storage battery module is more than 10% lower than the average SOH of all energy storage battery modules. Assuming M energy storage battery modules are deemed unqualified, the following conditions apply during this control cycle:

[0069] In step 202, the number of control cycle rotations is determined based on the health parameter status of all the energy storage battery modules, specifically including:

[0070] For each energy storage battery module, based on the health parameter status of the energy storage battery module, it is determined whether the set safety judgment conditions are met, and the number of unqualified modules is determined. The number of unqualified modules is the number of energy storage battery modules that do not meet the set safety judgment conditions. The set safety judgment conditions are: the SOH value of the energy storage battery module is not greater than the first SOH set value, or the internal resistance growth of the energy storage battery module in the previous cycle is greater than the internal resistance growth set value, or the SOH value of the energy storage battery module is less than the average SOH value of the energy storage system and the difference between the SOH value of the energy storage battery module and the average SOH value of the energy storage system is greater than the second SOH set value. The first SOH set value is 80%, and the second SOH set value is 10%.

[0071] When the number of non-conforming items is 0, the number of control cycle rotations is: Where N(t) is the number of cycles in control period t; P max For maximum power demand, P unit This represents the maximum power requirement that a single energy storage battery module can provide; K is the total number of energy storage battery modules. This represents the function for rounding up.

[0072] When the number of non-conforming items is not zero, the number of control cycle rotations is: Where M represents the number of non-conforming items.

[0073] All energy storage battery modules are scored: Before the start of the control cycle, energy storage battery modules that will bear the load demand in this cycle are dynamically selected from the working pool and the redundant pool based on the scoring model: the top 0.9N(t) energy storage battery modules with the highest scores are selected from the working pool, and the top 0.1N(t) energy storage battery modules with the highest scores are selected from the redundant pool.

[0074] The scoring rules, namely the calculation formula for the evaluation result of the operating status of the energy storage battery module, are shown in the following formula (2).

[0075]

[0076] Among them, Score i This represents the operational status evaluation result of the i-th energy storage battery module, i.e., the score of the i-th energy storage battery module; w1, w2, and w3 are weighting coefficients; SOH i Let t be the SOH value of the i-th energy storage battery module; i t is the cumulative operating time of the i-th energy storage battery module; max This is the maximum operating time recommended by the battery manufacturer; T opt This is the optimal operating temperature for energy storage battery modules, T i It is the current operating temperature of the i-th energy storage battery module.

[0077] In step 204, the set of working modules and the set of redundant modules to bear the load demand are determined based on the operating status assessment results of each energy storage battery module and the number of rotations in the control cycle. Specifically, this includes: sorting the operating status assessment results of all working pools and all redundant pools in descending order according to the operating status assessment results of each energy storage battery module, and selecting the working pool with the highest operating status assessment result. Each energy storage battery module determines the set of working modules to bear the load demand. From the redundancy pool, the top N2 = N(t) - N1 energy storage battery modules determine the set of redundant modules to bear the load demand; N(t) is the number of rotations in the control cycle. This represents the function for rounding up.

[0078] (2.3) Task decomposition and hierarchical scheduling of energy storage battery modules (during the control cycle): Wavelet transform algorithm to solve power demand: The total power demand P is solved using the wavelet transform algorithm. load Decomposed into high-frequency components P high (0.1Hz~10Hz) and low-frequency component P low (<0.1Hz), corresponding to frequency modulation and energy support requirements respectively, the decomposition process is shown in equation (3) below.

[0079]

[0080] Among them, P load (t) represents the total power demand at time t; P low (t) represents the low-frequency component at time t; j represents the decomposition level, and J represents the total number of decomposition levels; For high-frequency component P high P high,j (t) represents the high-frequency component of the j-th layer at time t.

[0081] In response to high-frequency load requirements, select the top 30% of the energy storage battery modules with the highest SOH in the working pool (i.e., the set of working modules) that participate in the work during this control cycle, and assign tasks according to the high-frequency task allocation rules shown in Equation (4).

[0082]

[0083] Among them, P assign,i This represents the load allocation result of the i-th energy storage battery module in the working pool participating in the operation during the control cycle, i.e., the load allocated to the i-th energy storage battery module, SOH. i N represents the SOH value of the i-th energy storage battery module in the working pool that participates in the operation during the control cycle. high The number of energy storage battery modules with the highest SOH (State of Health) in the working pool during the control cycle is represented by 0.3 × N, where N is the number of energy storage battery modules in the working pool during the control cycle; SOH j Let be the SOH value of the j-th energy storage battery module. This square weighting method enables high SOH energy storage battery modules (high SOH energy storage battery modules are those with SOH values ​​sorted from largest to smallest, and ranked in the top 30%) to undertake more high-frequency output, thus slowing down the capacity decay of low SOH energy storage battery modules.

[0084] For low-frequency load demands, the remaining energy storage battery modules (including the bottom 70% of the energy storage battery modules in the working pool and all redundant pool energy storage battery modules) are allocated P using an equal-sharing strategy. low This helps avoid overloading individual energy storage battery modules.

[0085] In step 205, based on the State of Health (SOH) of each energy storage battery module in the working module set and the redundant module set, high-frequency and low-frequency components are scheduled and allocated to obtain the load allocation results of each energy storage battery module participating in the operation within the control cycle. Specifically, this includes:

[0086] For high-frequency components, the State of Health (SOH) of the working pools participating in the operation within the control cycle is sorted, and the energy storage battery modules with the top 30% SOH ranking in the working pools participating in the operation within the control cycle are selected. Task scheduling and allocation are performed according to the high-frequency allocation task rule formula to obtain the load allocation result of each energy storage battery module in the working pools participating in the operation within the control cycle; the high-frequency allocation task rule formula is shown in equation (4).

[0087] For low-frequency components, an equal-sharing strategy is adopted to schedule and allocate tasks to the remaining energy storage battery modules, resulting in the load allocation of each energy storage battery module among the remaining energy storage battery modules participating in the operation during the control cycle. The remaining energy storage battery modules include the energy storage battery modules with the lowest SOH ranking in the working pool and all redundant pools participating in the operation during the control cycle.

[0088] (2.4) Optimization of health status consistency among energy storage battery modules (during the control cycle).

[0089] In step 206 above, the health status of each energy storage battery module is optimized during the control cycle, specifically including the following steps 301 to 303.

[0090] Step 301: When the SOH value of the energy storage battery module is greater than the average SOH value of the energy storage system, the charging and discharging current of the energy storage battery module is increased. For energy storage battery modules with SOH values ​​higher than the average SOH value of the energy storage system, their charging and discharging current is increased to enable them to handle more power demand. The calculation formula for the maximum charging and discharging current limit is shown in formula (5).

[0091]

[0092] Among them, I limited,i I represents the maximum charge / discharge current limit of the i-th energy storage battery module; rated Rated charge / discharge current; k3 is the adjustment coefficient; SOH avg This represents the average SOH value of the energy storage system. According to the above formula, when k3 = 1 and the SOH value of a certain energy storage battery module is 5% higher than the average SOH value of the energy storage system, its maximum charge and discharge current is limited to 105% of the rated value.

[0093] Step 302: When the SOH value of the target energy storage battery module is greater than the SOH value of the surrounding energy storage battery modules, and the difference between the SOH values ​​of the target energy storage battery module and the surrounding energy storage battery modules is greater than a set difference, the target energy of the target energy storage battery module is transferred to the surrounding energy storage battery modules; the target energy storage battery module and the surrounding energy storage battery modules belong to the same energy storage battery cluster; the target energy is determined based on the SOH values ​​of the target energy storage battery module and the surrounding energy storage battery modules.

[0094] For energy storage modules within the same energy storage battery cluster, if the SOH of energy storage module i is more than 5% greater than that of energy storage module j, the calculation formula for the energy transferred from energy storage module i to energy storage module j through the bidirectional DC-DC module is shown in equation (6).

[0095] ΔE=0.5*(SOH i -SOH j )*C rate (6).

[0096] Where ΔE is the target energy transferred from energy storage battery module i to energy storage battery module j; C rate This is the rated capacity of a new battery. In the above formula, energy storage battery module i is the target energy storage battery module, and energy storage battery module j is the surrounding energy storage battery module.

[0097] Step 303: For energy storage battery modules that are not involved in operation during the current cycle, dynamically adjust the optimal energy storage temperature of the energy storage battery modules based on their SOH value.

[0098] For energy storage battery modules that do not participate in operation during the current cycle, the optimal energy storage temperature is dynamically adjusted according to the SOH of the energy storage battery module. The decrease in chemical activity is compensated by increasing the storage temperature of low SOH energy storage battery modules (low SOH energy storage battery modules refer to energy storage battery modules with lower SOH values) (but not exceeding 30°C). The formula for calculating the optimal energy storage temperature is shown in Equation (7).

[0099] T storage =20+5·(1-SOH) i (7).

[0100] Among them, T storage This is the optimal energy storage temperature for the energy storage battery module.

[0101] (2.5) Management of decommissioned energy storage batteries (during the control cycle).

[0102] If a storage battery module is detected to have a SOH of 70% to 80%, it will be classified as a Level 1 retired storage battery module and a separate control process will be initiated: this process will only be activated when a normal storage battery module cannot meet the charging and discharging requirements, and an alarm message will be displayed indicating "replacement recommended".

[0103] If a battery storage module is detected to have a state of equilibrium (SOH) of less than 70%, it will be classified as a Level 2 retired battery storage module, and a separate control process will be initiated: the BMS will completely disconnect its circuit and simultaneously issue an alarm indicating "immediate replacement is required".

[0104] The energy storage battery full life cycle coordinated degradation and rotation control method further includes: during the control cycle, determining whether the real-time SOH of the energy storage battery module is within the set retirement SOH range; if so, the energy storage battery module is a first-level retirement energy storage battery module, and a replacement alarm is issued; a first-level retirement energy storage battery module is activated when a normal energy storage battery module cannot meet the charging and discharging requirements; a normal energy storage battery module is an energy storage battery module whose real-time SOH is greater than the upper limit of the set retirement SOH range; when the real-time SOH of the energy storage battery module is less than the lower limit of the set retirement SOH range, if so, the energy storage battery module is a second-level retirement energy storage battery module, and an alarm is issued indicating that immediate replacement is required; a second-level retirement energy storage battery module is an unusable energy storage battery module.

[0105] This application proposes a state rating method applicable to the entire lifecycle of energy storage batteries through step 203. This method can accurately assess the state of energy storage battery modules and classify the functions and positioning of different energy storage battery modules. This application also proposes a rotation strategy that adaptively adjusts based on the energy storage system's state of health (SOH) and historical operating conditions to achieve lifespan balance among multiple energy storage battery modules and extend the lifespan of the energy storage system.

[0106] This application also provides an application scenario in which the above-mentioned energy storage battery full life cycle coordinated degradation and rotation control method is applied. Specifically, the energy storage battery full life cycle coordinated degradation and rotation control method provided in this embodiment can be applied in an energy storage battery rotation control scenario. The energy storage battery rotation control scenario includes a request issuance stage and an energy storage battery rotation control stage; the requests to be processed enter the energy storage battery rotation control stage from the request issuance stage, and obtain the corresponding load allocation results and optimization results. The energy storage battery full life cycle coordinated degradation and rotation control method provided in this embodiment belongs to the energy storage battery rotation control stage. Specifically, in the energy storage battery rotation control process for pending requests, the rotation cycle of the energy storage battery modules can be determined. The number of rotations in the control cycle is determined based on the health parameter status of all energy storage battery modules. The energy storage battery modules are evaluated based on their State of Health (SOH), cumulative operating time, and operating temperature. Based on the evaluation results of the operating status of each energy storage battery module and the number of rotations, the set of working modules and the set of redundant modules to bear the load demand are determined. The total power demand is decomposed into high-frequency and low-frequency components, and the high-frequency and low-frequency components are scheduled and allocated based on the SOH of each energy storage battery module in the working and redundant module sets to obtain the load allocation result of each energy storage battery module. During the control cycle, the health status among the energy storage battery modules is optimized.

[0107] In one exemplary embodiment, a computer device is provided, which may be a server or a terminal, and its internal structure diagram may be as follows. Figure 4As shown, the computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operation of the operating system and computer programs in the non-volatile storage media. The database stores rotation control processing data. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communicating with external terminals via a network connection. When the computer program is executed by the processor, it implements a method for coordinated degradation rotation control of energy storage batteries throughout their entire life cycle.

[0108] Those skilled in the art will understand that Figure 4 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. A specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0109] In one exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.

[0110] In one exemplary embodiment, a computer-readable storage medium is provided storing a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0111] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0112] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0113] The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0114] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0115] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for coordinated degradation and rotation control of energy storage batteries throughout their entire life cycle, characterized in that, The energy storage battery's full lifecycle collaborative degradation and rotation control method includes: Determine the replacement cycle of the energy storage battery module; the energy storage battery module is divided into a working pool and a redundant pool; The number of control cycle rotations is determined based on the health parameter status of all the energy storage battery modules. For each energy storage battery module, the energy storage battery module is evaluated based on its SOH, cumulative working time, and operating temperature to obtain the operating status evaluation result of the energy storage battery module; Based on the operational status assessment results and the number of control cycle rotations of each energy storage battery module, determine the set of working modules and the set of redundant modules to bear the load requirements; the set of working modules includes several working pools; the set of redundant modules includes several redundant pools. The total power demand is decomposed into high-frequency and low-frequency components using wavelet transform algorithm. Based on the SOH of each energy storage battery module in the working module set and the redundant module set, the high-frequency and low-frequency components are scheduled and allocated to obtain the load allocation result of each energy storage battery module participating in the operation within the control cycle. During the control cycle, the health status of each energy storage battery module is optimized.

2. The energy storage battery full life cycle coordinated degradation rotation control method according to claim 1, characterized in that, The energy storage battery full life cycle collaborative degradation rotation control method also includes: During the control cycle, it is determined whether the real-time SOH of the energy storage battery module is within the set retirement SOH range. If so, the energy storage battery module is a first-level retirement energy storage battery module, and a replacement alarm is issued. A first-level retirement energy storage battery module is activated when the normal energy storage battery module cannot meet the charging and discharging requirements. A normal energy storage battery module is an energy storage battery module whose real-time SOH is greater than the upper limit of the set retirement SOH range. When the real-time SOH of the energy storage battery module is less than the lower limit of the set retirement SOH range, if so, the energy storage battery module is a level 2 retirement energy storage battery module, and an alarm prompt will be issued indicating that it needs to be replaced immediately; a level 2 retirement energy storage battery module is an energy storage battery module that cannot be used.

3. The energy storage battery full life cycle coordinated degradation rotation control method according to claim 1, characterized in that, The formula for calculating the rotation cycle is as follows: Where T is the rotation period; T max This represents the upper limit of continuous battery operation; k1 and k2 are adjustment coefficients; F is the power fluctuation index; This represents the current average health status of the energy storage system; the energy storage system includes several energy storage battery clusters; each energy storage battery cluster includes several energy storage battery modules; each energy storage battery module includes several energy storage battery cells connected in series.

4. The energy storage battery full life cycle coordinated degradation rotation control method according to claim 1, characterized in that, The number of control cycle rotations is determined based on the health parameter status of all the energy storage battery modules, specifically including: For each energy storage battery module, based on the health parameter status of the energy storage battery module, it is determined whether the set safety judgment conditions are met, and the number of unqualified modules is determined; the number of unqualified modules is the number of energy storage battery modules that do not meet the set safety judgment conditions. When the number of non-conforming items is 0, the number of control cycle rotations is: Where N(t) is the number of cycles in control period t; P max For maximum power demand, P unit This represents the maximum power requirement that a single energy storage battery module can provide; K is the total number of energy storage battery modules. This represents the floor function; When the number of non-conforming items is not zero, the number of control cycle rotations is: Where M represents the number of non-conforming items.

5. The energy storage battery full life cycle coordinated degradation rotation control method according to claim 1, characterized in that, The formula for calculating the operational status assessment results of energy storage battery modules is as follows: Among them, Score i This represents the operational status evaluation result of the i-th energy storage battery module; w1, w2, and w3 are weighting coefficients; SOH i Let t be the SOH value of the i-th energy storage battery module; i t is the cumulative operating time of the i-th energy storage battery module; max This is the maximum working time; T opt This is the optimal operating temperature for energy storage battery modules, T i It is the current operating temperature of the i-th energy storage battery module.

6. The energy storage battery full life cycle coordinated degradation rotation control method according to claim 1, characterized in that, Based on the operational status assessment results and control cycle rotation numbers of each energy storage battery module, the set of working modules and the set of redundant modules to bear the load demand are determined, specifically including: Based on the operational status assessment results of each energy storage battery module, the operational status assessment results of all working pools and all redundant pools are sorted in descending order, with the operational pools' operational status assessment results ranked first. Each energy storage battery module determines the set of working modules to bear the load demand. From the redundancy pool, the top N2 = N(t) - N1 energy storage battery modules determine the set of redundant modules to bear the load demand; N(t) is the number of rotations in the control cycle. This represents the function for rounding up.

7. The energy storage battery full life cycle coordinated degradation rotation control method according to claim 1, characterized in that, Based on the State of Health (SOH) of each energy storage battery module in the working module set and the redundant module set, high-frequency and low-frequency components are scheduled and allocated to obtain the load allocation results of each energy storage battery module participating in the operation within the control cycle, specifically including: For high-frequency components, the State of Harm (SOH) of the working pools participating in the operation within the control cycle is sorted, and the top 30% of the energy storage battery modules with the highest SOH in the working pools within the control cycle are selected. Task scheduling and allocation are then performed according to the high-frequency task allocation rule formula to obtain the load allocation result for each energy storage battery module in the working pools participating in the operation within the control cycle. The high-frequency task allocation rule formula is as follows: Among them, P assign,i To control the load allocation result of the i-th energy storage battery module in the working pool participating in the operation during the control cycle; P high For high-frequency components; SOH i N represents the SOH value of the i-th energy storage battery module in the working pool that participates in the operation during the control cycle. high The number of energy storage battery modules in the working pool that rank in the top 30% of SOH during the control cycle. SOH represents the floor function; j Let SOH be the value of the j-th energy storage battery module; For low-frequency components, an equal-sharing strategy is adopted to schedule and allocate tasks to the remaining energy storage battery modules, resulting in the load allocation of each energy storage battery module among the remaining energy storage battery modules participating in the operation during the control cycle. The remaining energy storage battery modules include the energy storage battery modules with the lowest SOH ranking in the working pool and all redundant pools participating in the operation during the control cycle.

8. The energy storage battery full life cycle coordinated degradation rotation control method according to claim 1, characterized in that, During the control cycle, the health status of each energy storage battery module is optimized, specifically including: When the SOH value of the energy storage battery module is greater than the average SOH value of the energy storage system, the charging and discharging current of the energy storage battery module is increased; the energy storage system includes several energy storage battery clusters; the energy storage battery clusters include several energy storage battery modules; the energy storage battery modules include several energy storage battery cells connected in series. When the SOH value of the target energy storage battery module is greater than that of the surrounding energy storage battery modules, and the difference between the SOH values ​​of the target energy storage battery module and the surrounding energy storage battery modules is greater than a set difference, the target energy of the target energy storage battery module is transferred to the surrounding energy storage battery modules; the target energy storage battery module and the surrounding energy storage battery modules belong to the same energy storage battery cluster; the target energy is determined based on the SOH values ​​of the target energy storage battery module and the surrounding energy storage battery modules. For energy storage battery modules that are not involved in operation during the current cycle, the optimal energy storage temperature of the energy storage battery module is dynamically adjusted based on the SOH value of the energy storage battery module.

9. A computer device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement the energy storage battery full life cycle coordinated degradation rotation control method according to any one of claims 1-8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the energy storage battery full life cycle collaborative degradation rotation control method as described in any one of claims 1-8.

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