Energy storage power generation status assessment method and system based on waste battery recycling

Abstract

The present invention discloses an energy storage power generation state assessment method and system based on waste battery recycling, which relates to the technical field of new energy batteries, including: determining the performance requirements of an applicable target cycle plan, analyzing the initialization state of the waste battery; substituting the initialization state of the waste battery into the applicable target cycle plan, analyzing the downward trend of the performance index of the waste battery, and obtaining the performance degradation change index of the waste battery; judging whether the performance degradation change index of the waste battery meets the performance requirements of the applicable target cycle plan, if not, determining that the waste battery is not recyclable, if so, determining that the waste battery is recyclable, calculating the matching degree between the performance requirements of the applicable target cycle plan and the performance degradation change index of the waste battery; generating the application management plan of the waste battery according to the maximum matching score of the application target cycle plan. The advantages of the present invention are: improving the reuse efficiency and economic benefits of waste batteries.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy batteries, and in particular to a method and system for evaluating energy storage and power generation status based on waste battery recycling. Background Art

[0002] Waste battery recycling refers to the process of power battery recycling and processing, in which the batteries are disassembled, cleaned, and tested so that they can be used again for energy storage, secondary production, recycling materials, etc., thereby achieving effective reuse of battery resources.

[0003] Existing waste battery recycling programs are mainly aimed at decomposing and obtaining the raw materials inside, but waste is still generated during the implementation process and cannot be naturally degraded. The utilization efficiency of recycled waste batteries is poor, and there is no standard application direction for some power batteries in good condition, resulting in low economic benefits from waste battery recycling. Summary of the invention

[0004] In order to solve the above technical problems, a method and system for evaluating the status of energy storage and power generation based on the recycling of waste batteries are provided. This technical solution solves the problem that the existing waste battery recycling scheme mentioned above is mainly aimed at decomposing and obtaining the internal raw materials, but waste is still generated during the implementation process and cannot be naturally degraded. The utilization efficiency of the recycled waste batteries is poor, and there is no standard application direction for some power batteries in good condition, which makes the economic benefits of waste battery recycling low.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] The energy storage power generation status assessment method based on waste battery recycling includes:

[0007] Based on the applicable target cycle plan after the waste battery recycling, determine the performance requirements of the applicable target cycle plan;

[0008] Obtain the historical operation data of used batteries and analyze the initialization status of used batteries;

[0009] Substituting the initialization state of the used battery into the applicable target cycle plan, analyzing the downward trend of the performance index of the used battery, and obtaining the performance degradation change index of the used battery;

[0010] Determine whether the performance degradation change index of the used battery meets the performance requirements of the applicable target cycle plan. If not, determine that the used battery cannot be recycled. If so, determine that the used battery can be recycled.

[0011] If it is determined that the used batteries can be recycled, the matching degree between the performance requirements of the applicable target cycle plan and the performance degradation change index of the used batteries is calculated to obtain the matching degree score of the applicable target cycle plan;

[0012] Generate an application management plan for used batteries according to the maximum matching score of the application target cycle plan.

[0013] Preferably, based on the applicable target cycle plan after waste battery recycling, determining the performance requirements of the applicable target cycle plan specifically includes:

[0014] Determine several performance parameters of used batteries;

[0015] Based on the applicable target cycle plan, obtaining preference data of the expected service direction of the applicable target cycle plan;

[0016] According to the preference data of the expected service direction of the applicable target period plan, the correlation coefficient between each preference data and several performance parameters of the used battery is calculated;

[0017] The correlation coefficients between each preference data of the expected service direction of the applicable target cycle plan and several performance parameters of the used batteries are formed into a preference correlation coefficient matrix A of the applicable target cycle plan;

[0018]

[0019] Among them, G ij is the correlation coefficient of the used battery performance parameter of the jth preference data in the i-th applicable target cycle plan, m is the total number of applicable target cycle plans, and n is the total number of preference data;

[0020] assigning corresponding weights to several performance parameters of the used batteries according to the correlation coefficients between the preference data in the preference correlation coefficient matrix of the applicable target cycle plan and the performance parameters of the used batteries;

[0021] Calculate the performance requirements of the applicable target cycle plan according to each element in the preference correlation coefficient matrix of the applicable target cycle plan and the weights of several performance parameters of the used batteries;

[0022] Wherein, the calculation expression of the correlation coefficient is:

[0023]

[0024] Where G is the correlation coefficient between the preference data and the performance parameters of used batteries, std(x) is the standard deviation of the preference data, std(y) is the standard deviation of the performance parameters of used batteries, and Cov(xy) is the covariance between the preference data and the performance parameters of used batteries.

[0025] The performance requirement calculation expression of the applicable target period plan is:

[0026]

[0027] Where P is the performance requirement of the applicable target cycle plan, W k is the kth performance parameter weight of the used batteries, and U is the total number of performance parameters of the used batteries.

[0028] Preferably, the initialization state of the used battery is substituted into the applicable target cycle plan, and the downward trend of the performance index of the used battery is analyzed to obtain the performance degradation change index of the used battery, which specifically includes:

[0029] Determine the basic decay rate of the used batteries based on the historical operating data of the used batteries;

[0030] Based on the historical operation data of the applicable target cycle plan, several characteristics that affect the battery decay in the applicable target cycle plan are marked as the decay influencing factors of the used batteries;

[0031] The overall time length of the applicable target cycle plan is divided to obtain a number of applicable target cycle nodes;

[0032] Based on several applicable target cycle nodes, waste battery decay influencing factors and waste battery basic decay rates, the performance degradation change index of waste batteries is calculated through the performance correction formula;

[0033] The performance correction formula is:

[0034]

[0035] In the formula, SOH t SOH is the performance degradation change index of the used battery at the tth applicable target cycle node. 初 is the initialization state index of the used battery, C is the basic decay rate of the used battery, β i is the waste battery degradation impact factor of the i-th applicable target cycle plan, t+1 is the next applicable target cycle node, and T is the overall time length of the applicable target cycle plan.

[0036] Preferably, calculating the matching degree between the performance requirements of the applicable target cycle plan and the performance degradation change index of the used battery to obtain the matching degree score of the applicable target cycle plan specifically includes:

[0037] Based on the applicable target cycle plan, determine the performance requirements corresponding to the applicable target cycle nodes;

[0038] Normalizing the performance requirements corresponding to the applicable target cycle nodes and the performance degradation change index of the used batteries to obtain the normalized performance requirements corresponding to the applicable target cycle nodes and the normalized performance degradation change index of the used batteries;

[0039] Based on the performance requirements corresponding to the normalized applicable target cycle nodes and the normalized performance degradation change index of the used batteries, the matching score of the applicable target cycle plan is calculated through the matching score formula;

[0040] The matching score formula is as follows:

[0041]

[0042] Where D is the matching score of the applicable target cycle plan, P t is the performance requirement of the t-th applicable target periodic node, and max(P) is the maximum expected performance requirement of the t-th applicable target periodic node.

[0043] Furthermore, a system for evaluating the state of energy storage and power generation based on the recycling of used batteries is proposed, which is used to implement the method for evaluating the state of energy storage and power generation based on the recycling of used batteries as described above, including:

[0044] A performance requirement evaluation module, which is used to determine the performance requirements of the applicable target cycle plan based on the applicable target cycle plan after the waste battery is recycled;

[0045] An initialization module is used to obtain historical operation data of the used batteries and analyze the initialization status of the used batteries;

[0046] A battery performance evaluation module, the battery performance evaluation module is electrically connected to the initialization module and the performance requirement evaluation module, and the battery performance evaluation module is used to substitute the initialization state of the used battery into the applicable target cycle plan, analyze the downward trend of the performance index of the used battery, and obtain the performance degradation change index of the used battery;

[0047] A demand judgment module, the demand judgment module is electrically connected to the performance demand evaluation module and the battery performance evaluation module, and the demand judgment module is used to judge whether the performance degradation change index of the waste battery meets the performance requirements of the applicable target cycle plan, if not, it is determined that the waste battery is not recyclable, and if so, it is determined that the waste battery is recyclable;

[0048] A matching module, the matching module is electrically connected to the demand judgment module, the performance demand evaluation module and the battery performance evaluation module, and the matching module is used to calculate the matching degree between the performance demand of the applicable target cycle plan and the performance degradation change index of the waste battery, and obtain the matching degree score of the applicable target cycle plan;

[0049] The application management module is electrically connected to the matching module, and generates an application management plan for waste batteries according to the maximum matching score of the application target cycle plan.

[0050] Optionally, the performance requirements assessment module includes:

[0051] A performance parameter unit, which determines several performance parameters of the used batteries;

[0052] A preference data unit, based on the applicable target periodic plan, obtains preference data of the expected service direction of the applicable target periodic plan;

[0053] A correlation coefficient calculation unit calculates the correlation coefficient between each preference data and several performance parameters of the used battery according to the preference data of the expected service direction of the applicable target period plan;

[0054] The matrix construction unit constructs the correlation coefficients between each preference data of the service direction expected by the applicable target cycle plan and several performance parameters of the used batteries into a preference correlation coefficient matrix A of the applicable target cycle plan;

[0055] A weight allocation unit allocates corresponding weights to a plurality of performance parameters of the used batteries according to the correlation coefficients between the preference data in the preference correlation coefficient matrix of the applicable target cycle plan and the performance parameters of the used batteries;

[0056] The first calculation unit calculates the performance requirement of the applicable target cycle plan according to each element in the preference correlation coefficient matrix of the applicable target cycle plan and several performance parameter weights of the used batteries.

[0057] Optionally, the battery performance evaluation module includes:

[0058] The decay rate unit determines the basic decay rate of the used batteries based on the historical operation data of the used batteries;

[0059] The decay factor unit marks several characteristics that affect battery decay in the applicable target cycle plan based on the historical operation data of the applicable target cycle plan as decay influencing factors of the used battery;

[0060] A cycle division unit divides the overall time length of the applicable target cycle plan to obtain a number of applicable target cycle nodes;

[0061] The second calculation unit calculates the performance degradation change index of the used batteries through a performance correction formula based on a number of applicable target cycle nodes, the used battery degradation influencing factors and the basic decay rate of the used batteries.

[0062] Optionally, the matching module includes:

[0063] A cycle performance unit determines the performance requirements corresponding to the applicable target cycle nodes based on the applicable target cycle plan;

[0064] A normalization unit normalizes the performance requirement corresponding to the applicable target cycle node and the performance degradation change index of the used battery to obtain the normalized performance requirement corresponding to the applicable target cycle node and the normalized performance degradation change index of the used battery;

[0065] The third calculation unit calculates the matching score of the applicable target cycle plan through a matching score formula based on the performance requirements corresponding to the normalized applicable target cycle nodes and the normalized performance degradation change index of the used batteries.

[0066] Compared with the prior art, the present invention has the following beneficial effects:

[0067] The present invention proposes an energy storage and power generation status assessment scheme based on the recycling of waste batteries. Based on the applicable fields of waste batteries after recycling in the current stage, the performance requirements of the waste batteries are estimated according to the expected deployment cycle, and then the waste batteries that meet the performance requirements are screened out, and the matching degree between the recycled waste batteries and the applicable target cycle plan is analyzed, and the allocation and application plan of the waste batteries is selected to improve the reuse efficiency and economic benefits of the waste batteries. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] Figure 1 A flow chart of the energy storage power generation status assessment method based on waste battery recycling;

[0069] Figure 2 Flowchart of the method for determining performance requirements for applicable target periodic plans;

[0070] Figure 3 A flow chart of the method for analyzing the downward trend of performance indicators of used batteries;

[0071] Figure 4 A flow chart of the method for calculating the fit score for applicable target periodic plans;

[0072] Figure 5 This is a framework diagram of the energy storage power generation status assessment system based on waste battery recycling. DETAILED DESCRIPTION

[0073] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0074] Reference Figure 1 As shown, the energy storage power generation status assessment method based on waste battery recycling includes:

[0075] Based on the applicable target cycle plan after the waste battery recycling, determine the performance requirements of the applicable target cycle plan;

[0076] Obtain the historical operation data of used batteries and analyze the initialization status of used batteries;

[0077] Substituting the initialization state of the used battery into the applicable target cycle plan, analyzing the downward trend of the performance index of the used battery, and obtaining the performance degradation change index of the used battery;

[0078] Determine whether the performance degradation change index of the used battery meets the performance requirements of the applicable target cycle plan. If not, determine that the used battery cannot be recycled. If so, determine that the used battery can be recycled.

[0079] If it is determined that the used batteries can be recycled, the matching degree between the performance requirements of the applicable target cycle plan and the performance degradation change index of the used batteries is calculated to obtain the matching degree score of the applicable target cycle plan;

[0080] Generate an application management plan for used batteries according to the maximum matching score of the application target cycle plan.

[0081] This plan is based on the applicable fields of used batteries after recycling in the current stage. It estimates the performance requirements of used batteries according to the expected deployment cycle, and then screens out used batteries that meet the performance requirements. It also analyzes the matching degree between the recycled used batteries and the applicable target cycle plan, and decides on the allocation and application plan of used batteries to improve the reuse efficiency and economic benefits of used batteries.

[0082] Reference Figure 2 As shown, based on the applicable target cycle plan after the recycling of used batteries, the performance requirements for determining the applicable target cycle plan specifically include:

[0083] Determine several performance parameters of used batteries;

[0084] Based on the applicable target cycle plan, obtaining preference data of the expected service direction of the applicable target cycle plan;

[0085] According to the preference data of the expected service direction of the applicable target period plan, the correlation coefficient between each preference data and several performance parameters of the used battery is calculated;

[0086] The correlation coefficients between each preference data of the expected service direction of the applicable target cycle plan and several performance parameters of the used batteries are formed into a preference correlation coefficient matrix A of the applicable target cycle plan;

[0087]

[0088] Among them, G ij is the correlation coefficient of the used battery performance parameter of the jth preference data in the i-th applicable target cycle plan, m is the total number of applicable target cycle plans, and n is the total number of preference data;

[0089] assigning corresponding weights to several performance parameters of the used batteries according to the correlation coefficients between the preference data in the preference correlation coefficient matrix of the applicable target cycle plan and the performance parameters of the used batteries;

[0090] Calculate the performance requirements of the applicable target cycle plan according to each element in the preference correlation coefficient matrix of the applicable target cycle plan and the weights of several performance parameters of the used batteries;

[0091] Wherein, the calculation expression of the correlation coefficient is:

[0092]

[0093] Where G is the correlation coefficient between the preference data and the performance parameters of used batteries, std(x) is the standard deviation of the preference data, std(y) is the standard deviation of the performance parameters of used batteries, and Cov(xy) is the covariance between the preference data and the performance parameters of used batteries.

[0094] The performance requirement calculation expression of the applicable target period plan is:

[0095]

[0096] Where P is the performance requirement of the applicable target cycle plan, W k is the kth performance parameter weight of the used batteries, and U is the total number of performance parameters of the used batteries.

[0097] It can be understood that the higher the correlation coefficient, the higher the demand for the performance parameter corresponding to the preference data, and the smaller the correlation coefficient, the smaller the demand for the performance parameter corresponding to the preference data. Therefore, a corresponding weight is assigned to each performance parameter based on the quantified value of the correlation coefficient. For example, the correlation coefficients of the performance parameters corresponding to the preference data of an energy storage power station are SOC capacity 0.3, charging and discharging efficiency 0.3, cycle life 0.3, and RUL life 0.4, respectively. Based on the quantified value of the correlation coefficient, corresponding weights can be assigned to the performance parameters of the used battery.

[0098] Reference Figure 3 As shown, the initialization state of the used battery is substituted into the applicable target cycle plan, and the performance index decline trend of the used battery is analyzed, and the performance decline change index of the used battery is obtained, which specifically includes:

[0099] Determine the basic decay rate of the used batteries based on the historical operating data of the used batteries;

[0100] Based on the historical operation data of the applicable target cycle plan, several characteristics that affect the battery decay in the applicable target cycle plan are marked as the decay influencing factors of the used batteries;

[0101] The overall time length of the applicable target cycle plan is divided to obtain a number of applicable target cycle nodes;

[0102] Based on several applicable target cycle nodes, waste battery decay influencing factors and waste battery basic decay rates, the performance degradation change index of waste batteries is calculated through the performance correction formula;

[0103] The performance correction formula is:

[0104]

[0105] In the formula, SOH t SOH is the performance degradation change index of the used battery at the tth applicable target cycle node. 初 is the initialization state index of the used battery, C is the basic decay rate of the used battery, β i is the waste battery degradation impact factor of the i-th applicable target cycle plan, t+1 is the next applicable target cycle node, and T is the overall time length of the applicable target cycle plan.

[0106] It is understandable that since the performance changes of used batteries are usually nonlinear, and the learning model has poor prediction accuracy for the performance changes of used batteries, the historical operating data of the battery is used to obtain a basic decay rate combined with the known factors affecting battery decay in the applicable target cycle plan to estimate the performance degradation transformation indicators of used batteries and accurately predict changes in battery performance.

[0107] Reference Figure 4 As shown, the matching degree between the performance requirements of the applicable target cycle plan and the performance degradation change index of the used battery is calculated, and the matching degree score of the applicable target cycle plan is obtained, which specifically includes:

[0108] Based on the applicable target cycle plan, determine the performance requirements corresponding to the applicable target cycle nodes;

[0109] Normalizing the performance requirements corresponding to the applicable target cycle nodes and the performance degradation change index of the used batteries to obtain the normalized performance requirements corresponding to the applicable target cycle nodes and the normalized performance degradation change index of the used batteries;

[0110] Based on the performance requirements corresponding to the normalized applicable target cycle nodes and the normalized performance degradation change index of the used batteries, the matching score of the applicable target cycle plan is calculated through the matching score formula;

[0111] The matching score formula is as follows:

[0112]

[0113] Where D is the matching score of the applicable target cycle plan, P t is the performance requirement of the t-th applicable target periodic node, and max(P) is the maximum expected performance requirement of the t-th applicable target periodic node.

[0114] This solution calculates the matching score to accurately evaluate the degree to which used batteries meet the performance requirements of equipment at different stages, and formulates the optimal used battery allocation strategy to ensure that the equipment can meet the performance requirements throughout the entire applicable target period, thereby improving equipment reliability and reducing maintenance costs.

[0115] Reference Figure 5 As shown, the energy storage power generation status assessment method based on waste battery recycling has the same inventive concept, and proposes an energy storage power generation status assessment system based on waste battery recycling, including:

[0116] A performance requirement evaluation module, which is used to determine the performance requirements of the applicable target cycle plan based on the applicable target cycle plan after the waste battery is recycled;

[0117] An initialization module is used to obtain historical operation data of the used batteries and analyze the initialization status of the used batteries;

[0118] A battery performance evaluation module, the battery performance evaluation module is electrically connected to the initialization module and the performance requirement evaluation module, and the battery performance evaluation module is used to substitute the initialization state of the used battery into the applicable target cycle plan, analyze the downward trend of the performance index of the used battery, and obtain the performance degradation change index of the used battery;

[0119] A demand judgment module, the demand judgment module is electrically connected to the performance demand evaluation module and the battery performance evaluation module, and the demand judgment module is used to judge whether the performance degradation change index of the waste battery meets the performance requirements of the applicable target cycle plan, if not, it is determined that the waste battery is not recyclable, and if so, it is determined that the waste battery is recyclable;

[0120] A matching module, the matching module is electrically connected to the demand judgment module, the performance demand evaluation module and the battery performance evaluation module, and the matching module is used to calculate the matching degree between the performance demand of the applicable target cycle plan and the performance degradation change index of the waste battery, and obtain the matching degree score of the applicable target cycle plan;

[0121] The application management module is electrically connected to the matching module, and generates an application management plan for waste batteries according to the maximum matching score of the application target cycle plan.

[0122] The performance requirements assessment module includes:

[0123] A performance parameter unit, which determines several performance parameters of the used batteries;

[0124] A preference data unit, based on the applicable target periodic plan, obtains preference data of the expected service direction of the applicable target periodic plan;

[0125] A correlation coefficient calculation unit calculates the correlation coefficient between each preference data and several performance parameters of the used battery according to the preference data of the expected service direction of the applicable target period plan;

[0126] The matrix construction unit constructs the correlation coefficients between each preference data of the service direction expected by the applicable target cycle plan and several performance parameters of the used batteries into a preference correlation coefficient matrix A of the applicable target cycle plan;

[0127] A weight allocation unit allocates corresponding weights to a plurality of performance parameters of the used batteries according to the correlation coefficients between the preference data in the preference correlation coefficient matrix of the applicable target cycle plan and the performance parameters of the used batteries;

[0128] The first calculation unit calculates the performance requirement of the applicable target cycle plan according to each element in the preference correlation coefficient matrix of the applicable target cycle plan and several performance parameter weights of the used batteries.

[0129] The battery performance evaluation module includes:

[0130] The decay rate unit determines the basic decay rate of the used batteries based on the historical operation data of the used batteries;

[0131] The decay factor unit marks several characteristics that affect battery decay in the applicable target cycle plan based on the historical operation data of the applicable target cycle plan as decay influencing factors of the used battery;

[0132] A cycle division unit divides the overall time length of the applicable target cycle plan to obtain a number of applicable target cycle nodes;

[0133] The second calculation unit calculates the performance degradation change index of the used batteries through a performance correction formula based on a number of applicable target cycle nodes, the used battery degradation influencing factors and the basic decay rate of the used batteries.

[0134] The matching module includes:

[0135] A cycle performance unit determines the performance requirements corresponding to the applicable target cycle nodes based on the applicable target cycle plan;

[0136] A normalization unit normalizes the performance requirement corresponding to the applicable target cycle node and the performance degradation change index of the used battery to obtain the normalized performance requirement corresponding to the applicable target cycle node and the normalized performance degradation change index of the used battery;

[0137] The third calculation unit calculates the matching score of the applicable target cycle plan through a matching score formula based on the performance requirements corresponding to the normalized applicable target cycle nodes and the normalized performance degradation change index of the used batteries.

[0138] The use process of the energy storage power generation status assessment system based on waste battery recycling is as follows:

[0139] Step 1: Determine several performance parameters of used batteries;

[0140] Step 2: Based on the applicable target cycle plan, obtain preference data of the expected service direction of the applicable target cycle plan;

[0141] Step 3: Based on the preference data of the expected service direction of the applicable target period plan, calculate the correlation coefficient between each preference data and several performance parameters of the used battery;

[0142] Step 4: The correlation coefficients between each preference data of the service direction expected by the applicable target cycle plan and several performance parameters of the used batteries are constructed into a preference correlation coefficient matrix A of the applicable target cycle plan;

[0143] Step 6: assign corresponding weights to several performance parameters of the used batteries according to the correlation coefficients between the preference data in the preference correlation coefficient matrix of the applicable target cycle plan and the performance parameters of the used batteries;

[0144] Step 7: Calculate the performance requirements of the applicable target cycle plan according to each element in the preference correlation coefficient matrix of the applicable target cycle plan and the weights of several performance parameters of the used batteries;

[0145] Step 8: Obtain historical operation data of the used batteries and analyze the initialization status of the used batteries;

[0146] Step 9: Determine the basic decay rate of the used batteries based on the historical operation data of the used batteries;

[0147] Step 10: Based on the historical operation data of the applicable target cycle plan, mark several features that affect battery degradation in the applicable target cycle plan as the waste battery degradation influencing factors;

[0148] Step 11: Divide the overall time length of the applicable target cycle plan to obtain a number of applicable target cycle nodes;

[0149] Step 12: Based on a number of applicable target cycle nodes, the waste battery decay influencing factors and the basic decay rate of the waste battery, the performance degradation change index of the waste battery is calculated through the performance correction formula;

[0150] Step 13: Determine whether the performance degradation change index of the used battery meets the performance requirements of the applicable target cycle plan. If not, determine that the used battery cannot be recycled. If so, determine that the used battery can be recycled.

[0151] Step 14: Based on the applicable target cycle plan, determine the performance requirements corresponding to the applicable target cycle nodes;

[0152] Step 15: normalizing the performance requirement corresponding to the applicable target cycle node and the performance degradation change index of the used battery to obtain the normalized performance requirement corresponding to the applicable target cycle node and the normalized performance degradation change index of the used battery;

[0153] Step 16: Based on the performance requirements corresponding to the normalized applicable target cycle nodes and the normalized performance degradation change index of the used batteries, the matching score of the applicable target cycle plan is calculated by the matching score formula;

[0154] Step 17: Generate an application management plan for used batteries according to the maximum matching score of the application target cycle plan.

[0155] To sum up, the advantages of the present invention are: based on the applicable fields of waste batteries after recycling in the current stage, the performance requirements of waste batteries are estimated according to the expected deployment cycle, and then the waste batteries that meet the performance requirements are screened out, and the matching degree between the recycled waste batteries and the applicable target cycle plan is analyzed, and the allocation and application plan of the waste batteries is selected to improve the reuse efficiency and economic benefits of the waste batteries.

[0156] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for evaluating the state of energy storage and power generation based on waste battery recycling, characterized in that: include: Based on the applicable target cycle plan after the waste battery recycling, determine the performance requirements of the applicable target cycle plan; Obtain the historical operation data of used batteries and analyze the initialization status of used batteries; Substituting the initialization state of the used battery into the applicable target cycle plan, analyzing the downward trend of the performance index of the used battery, and obtaining the performance degradation change index of the used battery; Determine whether the performance degradation change index of the used battery meets the performance requirements of the applicable target cycle plan. If not, determine that the used battery cannot be recycled. If so, determine that the used battery can be recycled. If it is determined that the used batteries can be recycled, the matching degree between the performance requirements of the applicable target cycle plan and the performance degradation change index of the used batteries is calculated to obtain the matching degree score of the applicable target cycle plan; Generate an application management plan for used batteries according to the maximum matching score of the application target cycle plan; Based on the applicable target cycle plan after recycling of used batteries, the performance requirements for the applicable target cycle plan are determined to include: Determine several performance parameters of used batteries; Based on the applicable target cycle plan, obtaining preference data of the expected service direction of the applicable target cycle plan; According to the preference data of the expected service direction of the applicable target period plan, the correlation coefficient between each preference data and several performance parameters of the used battery is calculated; The correlation coefficients between each preference data of the expected service direction of the applicable target cycle plan and several performance parameters of the used batteries are formed into a preference correlation coefficient matrix A of the applicable target cycle plan; ， in, is the correlation coefficient of the used battery performance parameter of the jth preference data in the i-th applicable target cycle plan, m is the total number of applicable target cycle plans, and n is the total number of preference data; assigning corresponding weights to several performance parameters of the used batteries according to the correlation coefficients between the preference data in the preference correlation coefficient matrix of the applicable target cycle plan and the performance parameters of the used batteries; Calculate the performance requirements of the applicable target cycle plan according to each element in the preference correlation coefficient matrix of the applicable target cycle plan and the weights of several performance parameters of the used batteries; Wherein, the calculation expression of the correlation coefficient is: ， Where G is the correlation coefficient between the preference data and the performance parameters of used batteries, is the standard deviation of the preference data, is the standard deviation of the performance parameters of used batteries, is the covariance between the preference data and the performance parameters of used batteries; The performance requirement calculation expression of the applicable target period plan is: ， Where P is the performance requirement of the applicable target cycle plan, is the kth performance parameter weight of the used batteries, and U is the total number of performance parameters of the used batteries.

2. The energy storage and power generation status assessment method based on waste battery recycling according to claim 1 is characterized in that: Substitute the initialization state of the used battery into the applicable target cycle plan, analyze the downward trend of the performance indicators of the used battery, and obtain the performance degradation change indicators of the used battery, including: Determine the basic decay rate of the used batteries based on the historical operating data of the used batteries; Based on the historical operation data of the applicable target cycle plan, several characteristics that affect the battery decay in the applicable target cycle plan are marked as the decay influencing factors of the used batteries; The overall time length of the applicable target cycle plan is divided to obtain a number of applicable target cycle nodes; Based on several applicable target cycle nodes, waste battery decay influencing factors and waste battery basic decay rates, the performance degradation change index of waste batteries is calculated through the performance correction formula; The performance correction formula is: ， In the formula, is the performance degradation change index of the used battery at the tth applicable target cycle node, is the initialization state index of the used battery, C is the basic decay rate of the used battery, is the waste battery degradation impact factor of the i-th applicable target cycle plan, t+1 is the next applicable target cycle node, and T is the overall time length of the applicable target cycle plan.

3. The energy storage and power generation status assessment method based on waste battery recycling according to claim 2 is characterized in that: Calculate the matching degree between the performance requirements of the applicable target cycle plan and the performance degradation change index of the used battery, and obtain the matching degree score of the applicable target cycle plan, which specifically includes: Based on the applicable target cycle plan, determine the performance requirements corresponding to the applicable target cycle nodes; Normalizing the performance requirements corresponding to the applicable target cycle nodes and the performance degradation change index of the used batteries to obtain the normalized performance requirements corresponding to the applicable target cycle nodes and the normalized performance degradation change index of the used batteries; Based on the performance requirements corresponding to the normalized applicable target cycle nodes and the normalized performance degradation change index of the used batteries, the matching score of the applicable target cycle plan is calculated through the matching score formula; The matching score formula is as follows: ， Where D is the matching score of the applicable target cycle plan, is the performance requirement of the tth applicable target period node, is the maximum expected performance requirement of the tth applicable target period node.

4. The energy storage and power generation status assessment system based on waste battery recycling is characterized by: The method for evaluating the state of energy storage and power generation based on waste battery recycling as claimed in any one of claims 1 to 3 comprises: A performance requirement evaluation module, which is used to determine the performance requirements of the applicable target cycle plan based on the applicable target cycle plan after the waste battery is recycled; An initialization module is used to obtain historical operation data of the used batteries and analyze the initialization status of the used batteries; A battery performance evaluation module, the battery performance evaluation module is electrically connected to the initialization module and the performance requirement evaluation module, and the battery performance evaluation module is used to substitute the initialization state of the used battery into the applicable target cycle plan, analyze the downward trend of the performance index of the used battery, and obtain the performance degradation change index of the used battery; A demand judgment module, the demand judgment module is electrically connected to the performance demand evaluation module and the battery performance evaluation module, and the demand judgment module is used to judge whether the performance degradation change index of the waste battery meets the performance requirements of the applicable target cycle plan, if not, it is determined that the waste battery is not recyclable, and if so, it is determined that the waste battery is recyclable; A matching module, the matching module is electrically connected to the demand judgment module, the performance demand evaluation module and the battery performance evaluation module, and the matching module is used to calculate the matching degree between the performance demand of the applicable target cycle plan and the performance degradation change index of the waste battery, and obtain the matching degree score of the applicable target cycle plan; An application management module, the application management module is electrically connected to the matching module, and the application management module generates an application management plan for used batteries according to the maximum matching score of the application target cycle plan; The performance requirements assessment module includes: A performance parameter unit, which determines several performance parameters of the used batteries; A preference data unit, based on the applicable target periodic plan, obtains preference data of the expected service direction of the applicable target periodic plan; A correlation coefficient calculation unit calculates the correlation coefficient between each preference data and several performance parameters of the used battery according to the preference data of the expected service direction of the applicable target period plan; The matrix construction unit constructs the correlation coefficients between each preference data of the service direction expected by the applicable target cycle plan and several performance parameters of the used batteries into a preference correlation coefficient matrix A of the applicable target cycle plan; A weight allocation unit allocates corresponding weights to a plurality of performance parameters of the used batteries according to the correlation coefficients between the preference data in the preference correlation coefficient matrix of the applicable target cycle plan and the performance parameters of the used batteries; The first calculation unit calculates the performance requirement of the applicable target cycle plan according to each element in the preference correlation coefficient matrix of the applicable target cycle plan and several performance parameter weights of the used batteries.

5. The energy storage and power generation status assessment system based on waste battery recycling according to claim 4 is characterized in that: The battery performance evaluation module includes: The decay rate unit determines the basic decay rate of the used batteries based on the historical operation data of the used batteries; The decay factor unit marks several characteristics that affect battery decay in the applicable target cycle plan based on the historical operation data of the applicable target cycle plan as decay influencing factors of the used battery; A cycle division unit divides the overall time length of the applicable target cycle plan to obtain a number of applicable target cycle nodes; The second calculation unit calculates the performance degradation change index of the used batteries through a performance correction formula based on a number of applicable target cycle nodes, the used battery degradation influencing factors and the basic decay rate of the used batteries.

6. The energy storage and power generation status assessment system based on waste battery recycling according to claim 4 is characterized in that: The matching module includes: A cycle performance unit determines the performance requirements corresponding to the applicable target cycle nodes based on the applicable target cycle plan; A normalization unit normalizes the performance requirement corresponding to the applicable target cycle node and the performance degradation change index of the used battery to obtain the normalized performance requirement corresponding to the applicable target cycle node and the normalized performance degradation change index of the used battery; The third calculation unit calculates the matching score of the applicable target cycle plan through a matching score formula based on the performance requirements corresponding to the normalized applicable target cycle nodes and the normalized performance degradation change index of the used batteries.

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