Electrochemical energy storage system evaluation method and device, electronic equipment and storage medium

Abstract

This invention relates to the field of electrochemical energy storage technology, specifically to evaluation methods, devices, electronic equipment, and storage media for electrochemical energy storage systems. This invention constructs a systematic and quantifiable comprehensive evaluation system for electrochemical energy storage systems, effectively overcoming the shortcomings of traditional methods that are one-sided and subjective. By combining the entire project lifecycle (implementation, operation, and decommissioning) with multiple value dimensions (financial, environmental, social, and sustainability), and using weighted scoring and approximation-ideal-solution ranking methods for scientific calculation, an objective and intuitive comprehensive score is ultimately obtained. This not only provides investors and operators with comprehensive decision-making basis and accurately identifies project strengths and weaknesses, but also guides the industry to focus on long-term environmental benefits and social responsibility, promoting the development of electrochemical energy storage technology towards a more efficient and sustainable direction.

Description

Technical Field

[0001] This invention relates to the field of electrochemical energy storage technology, specifically to evaluation methods, devices, electronic equipment, and storage media for electrochemical energy storage systems. Background Technology

[0002] Energy storage is crucial for building new power systems and achieving energy transition. Currently, new energy storage power stations are gradually trending towards centralized and large-scale deployments. Among new energy storage technologies, electrochemical energy storage, primarily based on lithium batteries, has the broadest application prospects in power systems due to its advantages such as flexible installation and fast response speed, accounting for over 90%. Post-evaluation of electrochemical energy storage is conducted after the project has been completed, accepted, and operated for a period of time. Currently, there is no scientific, systematic, and standardized method for post-evaluation of wind power project generation, making it impossible to conduct a fair and objective evaluation of already operational projects. Summary of the Invention

[0003] This invention provides a method, apparatus, electronic device, and storage medium for evaluating electrochemical energy storage systems, in order to solve the problem that existing technologies cannot systematically evaluate electrochemical energy storage systems.

[0004] In a first aspect, the present invention provides an evaluation method for an electrochemical energy storage system. The method includes: determining evaluation indicators for each process of the electrochemical energy storage system during implementation, production and operation, and decommissioning and recycling, in terms of financial performance, environmental impact, social benefits, and sustainability; determining the weight of each evaluation indicator using a weighting method, and determining the weighted value of each dimension in combination with the evaluation indicator values ​​of the electrochemical energy storage system to be evaluated; and determining the comprehensive score of the electrochemical energy storage system to be evaluated using an approximation of ideal solution ranking method based on the weighted values ​​of each dimension, thereby obtaining the evaluation result.

[0005] This invention constructs a systematic and quantifiable comprehensive evaluation system for electrochemical energy storage systems, effectively overcoming the shortcomings of traditional methods that are one-sided and subjective. By combining the entire project lifecycle (implementation, operation, and decommissioning) with multiple value dimensions (financial, environmental, social, and sustainability), and using weighted scoring and approximation-ideal-solution ranking methods for scientific calculation, an objective and intuitive comprehensive score is ultimately obtained. This not only provides investors and operators with comprehensive decision-making basis and accurately identifies the strengths and weaknesses of projects, but also guides the industry to focus on long-term environmental benefits and social responsibility, promoting the development of electrochemical energy storage technology towards a more efficient and sustainable direction.

[0006] In one optional implementation, the secondary indicators of the implementation process in the financial performance dimension include cost control indicators, and the tertiary indicators of the implementation process in the financial performance dimension include unit capacity construction cost indicators and budget deviation rate indicators; the secondary indicators of the implementation process in the environmental impact dimension include resource consumption indicators, and the tertiary indicators of the implementation process in the environmental impact dimension include total energy consumption during the construction period indicators and key material consumption indicators; the secondary indicators of the implementation process in the social benefit dimension include local contribution indicators, and the tertiary indicators of the implementation process in the social benefit dimension include local employment person-months indicators and community satisfaction index indicators; the secondary indicators of the implementation process in the sustainability dimension include technological foresight indicators, and the tertiary indicators of the implementation process in the sustainability dimension include technology maturity level indicators and system design compatibility index indicators.

[0007] In this invention, by determining the secondary and tertiary indicators during the implementation process, the overall performance of the project in terms of cost control, resource consumption, local contribution, and technological advancement can be comprehensively predicted and evaluated. This guides investment and construction towards a more economical, environmentally friendly, community-supported, and technologically forward-looking direction, thereby improving the overall quality and long-term value of energy storage projects from the source.

[0008] In one optional implementation, the secondary indicators of the production and operation process in the financial performance dimension include the benefit-cost ratio indicator, and the tertiary indicators of the production and operation process in the financial performance dimension include the cost per kilowatt-hour indicator and the annual operation and maintenance cost ratio indicator; the secondary indicators of the production and operation process in the environmental impact dimension include the emission intensity indicator, and the tertiary indicators of the production and operation process in the environmental impact dimension include the carbon dioxide emission per unit of discharge and the wastewater generation indicator; the secondary indicators of the production and operation process in the social benefit dimension include the grid support indicator, and the tertiary indicators of the production and operation process in the social benefit dimension include the grid frequency regulation response qualification rate indicator and the peak-valley regulation contribution indicator; the secondary indicators of the production and operation process in the sustainability dimension include the adaptability indicator, and the tertiary indicators of the production and operation process in the sustainability dimension include the compliance rate indicator and the subsidy dependence indicator.

[0009] In this invention, by determining the secondary and tertiary indicators in the production and operation process, it is possible to systematically and comprehensively evaluate operational performance, accurately identify the strengths and weaknesses in terms of economic benefits, environmental protection, social responsibility, and long-term resilience, thereby providing a scientific basis for refined management and strategic decision-making, and ultimately guiding operational activities towards a more efficient, greener, more responsible, and more sustainable direction.

[0010] In one optional implementation, the secondary indicators of the decommissioning and recycling process in the financial performance dimension include economic feasibility indicators, and the tertiary indicators include net present value of decommissioning and recycling and material residual rate indicators; the secondary indicators of the decommissioning and recycling process in the environmental impact dimension include pollution control indicators, and the tertiary indicators include waste harmless treatment rate and heavy metal leakage risk index; the secondary indicators of the decommissioning and recycling process in the social benefit dimension include community safety indicators, and the tertiary indicators include the number of safety accidents during decommissioning and the number of public complaints; the secondary indicators of the decommissioning and recycling process in the sustainability dimension include recycling potential indicators, and the tertiary indicators include lithium recovery rate, cobalt recovery rate, and plastic recycling rate.

[0011] This invention, by defining secondary and tertiary indicators in the decommissioning and recycling process, can accurately measure the economic feasibility, environmental friendliness, community safety, and resource recycling potential of decommissioning activities. This not only provides scientific data support for investment and regulatory decisions but also guides industry practices to emphasize full life-cycle management, promoting the resource utilization, harmlessness, and high-value development of decommissioning and recycling, ultimately facilitating the implementation of a circular economy model in the energy storage field.

[0012] In one optional implementation, financial performance, environmental impact, social benefits, and sustainability are four primary dimensions. Evaluation indicators include secondary and tertiary indicators for each dimension. A weighted assignment method is used to determine the weight of each evaluation indicator, and the weighted value of each dimension is determined in conjunction with the evaluation indicator values ​​of the electrochemical energy storage system to be evaluated. This includes: using the analytic hierarchy process (AHP) to determine the relative importance weights of the four primary dimension indicators, the relative importance weights of the secondary indicators for different processes within each dimension, and the relative importance weights of the tertiary indicators for each process within each dimension; determining the secondary indicator values ​​for different processes within each dimension based on the relative importance weights of the tertiary indicators for different processes within each dimension and the corresponding tertiary indicator values ​​of the electrochemical energy storage system to be evaluated; determining the values ​​of the next primary dimension based on the relative importance weights of the secondary indicators for different processes within each dimension and the corresponding secondary indicator values; and determining the weighted value of each dimension based on the relative importance weights of the four primary dimension indicators and the values ​​of the next primary dimension.

[0013] This invention employs the analytic hierarchy process (AHP) to scientifically determine the relative importance weights of indicators at each level, integrating the complex and diverse performance characteristics of electrochemical energy storage systems into precise weighted evaluation values. This method overcomes the limitations of traditional single-dimensional evaluations, enabling a scientific, comprehensive, and systematic measurement of the overall value and potential impact of energy storage projects. This provides an objective and reliable basis for investment decisions and industry management, effectively guiding energy storage technology towards a more economical, environmentally friendly, and socially responsible direction.

[0014] In one optional implementation, the comprehensive score of the electrochemical energy storage system to be evaluated is determined by the approximation ideal solution ranking method based on the weighted values ​​of each dimension, and the evaluation result is obtained. This includes: determining the positive and negative ideal solutions of the weighted values ​​of each dimension using the approximation ideal solution ranking method; and determining the comprehensive score of the electrochemical energy storage system to be evaluated based on the Euclidean distance between the weighted values ​​of each dimension and the positive and negative ideal solutions, respectively, and thus obtaining the evaluation result.

[0015] This invention employs a scientific method—the approximation of ideal solutions ranking method—to accurately calculate the comprehensive score of an electrochemical energy storage system. This method first determines positive and negative ideal solutions based on weighted values ​​across various dimensions. Then, by calculating the Euclidean distance to these two ideal solutions, an objective and quantitative evaluation result is obtained. This process effectively avoids the bias of subjective judgment, providing a unified and reliable standardized means for the performance evaluation of energy storage systems. It significantly improves the accuracy and comparability of evaluation results, providing strong support for investment decisions and industry management.

[0016] In one optional implementation, the evaluation results include weighted values ​​for each dimension, a comprehensive score, existing problems, and solutions.

[0017] In this invention, the generated evaluation results not only provide an intuitive comprehensive score, but also include weighted values ​​for each dimension, specific problems, and corresponding solutions. This structured output format enables decision-makers to grasp the overall performance of the project from a macro perspective, while accurately identifying strengths and weaknesses from a micro perspective. In particular, it allows for targeted improvements based on the problems identified in the report and their solutions, greatly enhancing the decision support value and practical guidance significance of the evaluation results, and effectively promoting the formation and continuous optimization of the management loop.

[0018] Secondly, the present invention provides an evaluation device for an electrochemical energy storage system. The device includes: an index determination module, used to determine the evaluation indicators for each process of the electrochemical energy storage system during implementation, production and operation, and decommissioning and recycling, in terms of financial performance, environmental impact, social benefits, and sustainability; a weighted calculation module, used to determine the weight of each evaluation indicator using a weighted assignment method, and to determine the weighted value of each dimension in combination with the evaluation indicator values ​​of the electrochemical energy storage system to be evaluated; and an evaluation module, used to determine the comprehensive score of the electrochemical energy storage system to be evaluated based on the weighted values ​​of each dimension using an approximation of ideal solution ranking method, thereby obtaining the evaluation result.

[0019] Thirdly, the present invention provides an electronic device, comprising: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the electrochemical energy storage system evaluation method of the first aspect or any corresponding embodiment described above.

[0020] Fourthly, the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to execute the electrochemical energy storage system evaluation method of the first aspect or any corresponding embodiment described above.

[0021] Fifthly, the present invention provides a computer program product, including computer instructions for causing a computer to execute the electrochemical energy storage system evaluation method of the first aspect or any corresponding embodiment described above. Attached Figure Description

[0022] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0023] Figure 1 This is a schematic diagram of the first process of the evaluation method for electrochemical energy storage systems according to an embodiment of the present invention; Figure 2 This is a structural block diagram of an electrochemical energy storage system evaluation device according to an embodiment of the present invention; Figure 3 This is a schematic diagram of the hardware structure of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0024] As mentioned in the background section, there is currently no scientific, systematic, and standardized method for post-evaluation of wind power project output in the industry, making it impossible to conduct a fair and objective evaluation of projects already in operation. Specifically, electrochemical energy storage evaluation suffers from numerous significant problems, severely impacting the accuracy and comprehensiveness of the evaluation.

[0025] In terms of evaluation scope, the lack of full-process coverage is a prominent problem. Existing evaluations often focus only on a certain stage of the electrochemical energy storage system, such as only focusing on the operating efficiency and failure status of equipment during production and operation, while ignoring key aspects such as the rationality of planning during implementation, construction quality, and resource reuse and environmental impact during decommissioning and recycling. Such one-sided evaluations cannot reflect the overall performance of the system from its inception to its termination.

[0026] From an evaluation perspective, the dimensions are singular and incomplete. Most evaluations focus only on financial performance, such as return on investment and operating costs, while paying little attention to dimensions such as environmental impact (such as carbon emissions and pollutant emissions during production and operation), social benefits (such as contributions to grid stability and reliability of power supply), and sustainability (such as system lifespan and environmentally friendly disposal methods after decommissioning). This makes it difficult to comprehensively measure the overall value of energy storage systems.

[0027] In terms of evaluation system construction, there is a lack of a scientific and comprehensive hierarchical system. The existing evaluation indicators are relatively scattered, resulting in unclear logical relationships between the indicators, unreasonable weight allocation, and a significant reduction in the scientific validity and authority of the evaluation results.

[0028] Furthermore, there are shortcomings in the evaluation methods. The methods for determining indicator weights and calculating scores are unscientific, often relying on subjective experience to determine indicator weights, lacking scientific methods for weight determination; and the scoring also lacks reasonable methods, making the evaluation results highly subjective and lacking in accuracy and comparability.

[0029] Based on this, this embodiment realizes a systematic evaluation of the entire life cycle of electrochemical energy storage projects and constructs a comprehensive evaluation framework that can fully reflect the project's financial performance, environmental impact, social benefits, and long-term sustainability. At the same time, it establishes a standardized evaluation index system that is clear in hierarchy, comprehensive in coverage, quantifiable, and comparable, and scientifically and objectively determines the relative importance of different evaluation indicators in the comprehensive evaluation. In addition, it achieves the effective integration of multi-source heterogeneous data, quantifies and scores the performance of each stage and dimension of the project, and finally forms an intuitive and comparable comprehensive total score.

[0030] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0031] It is understood that before using the technical solutions disclosed in the various embodiments of the present invention, users should be informed of the types, scope of use, and usage scenarios of the personal information involved in the present invention and their authorization should be obtained in accordance with relevant laws and regulations through appropriate means.

[0032] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0033] According to an embodiment of the present invention, an embodiment of an evaluation method for an electrochemical energy storage system is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0034] This embodiment provides a method for evaluating electrochemical energy storage systems. Figure 1 This is a flowchart of an evaluation method for an electrochemical energy storage system according to an embodiment of the present invention, such as... Figure 1 As shown, the process includes the following steps: Step S101: Determine the evaluation indicators for each process of the electrochemical energy storage system in terms of financial performance, environmental impact, social benefits, and sustainability during implementation, production and operation, and decommissioning and recycling.

[0035] Specifically, this embodiment divides the evaluation scope of the electrochemical energy storage system into three core process stages: implementation, production and operation, and decommissioning and recycling. This achieves a comprehensive stage-based evaluation of the entire electrochemical energy storage system process. The implementation process primarily evaluates the efficiency, compliance, cost control, and risk management of project planning, design, procurement, construction, and commissioning. The production and operation process evaluates the technical performance (efficiency, degradation, reliability, safety), economic benefits (operating costs, revenue, profitability), and operation and maintenance management level of the power station during operation. The decommissioning and recycling process includes the rationality of the decommissioning plan, safety, environmental impact (waste treatment, pollution control), resource recovery rate, recycling costs and benefits, and the potential for closed-loop material utilization.

[0036] Meanwhile, in the evaluation of each process—implementation, production and operation, and decommissioning and recycling—evaluation indicators are constructed from four interrelated yet independent dimensions: financial performance, environmental impact, social benefits, and sustainability. For the financial performance dimension, evaluation indicators are constructed by focusing on the project's economic feasibility, cost-effectiveness, profitability, and return on investment. In the environmental impact dimension, the resource consumption (energy, water, materials) and pollutant emissions (CO2, SO2) throughout the entire project process are quantified. x NO x The evaluation indicators are constructed based on factors such as wastewater and solid waste, ecological footprint, and carbon emission reduction contribution. In the social benefit dimension, evaluation indicators are constructed by assessing the project's contribution to local employment, improvement of energy supply security, support for grid stability, impact on community development (positive / negative), and public acceptance. In the sustainability dimension, the evaluation indicators primarily focus on the project's long-term viability, including the long-term competitiveness of the technological approach, asset residual value management, material recycling potential (circular economy), and alignment with sustainable development goals.

[0037] Step S102 involves determining the weight of each evaluation indicator using a weighted assignment method, and then combining this with the evaluation indicator values ​​of the electrochemical energy storage system to be evaluated to determine the weighted values ​​for each dimension. Specifically, compared to relying on subjective experience to determine indicator weights, this embodiment uses a weighted assignment method for weight calculation, replacing arbitrary subjective weighting with a scientific method to ensure that the weights reflect actual importance. The weighted assignment method can specifically employ subjective weighting methods such as the analytic hierarchy process (AHP), or objective weighting methods such as the entropy weighting method. After determining the weight of each evaluation indicator, the specific numerical values ​​of the evaluation indicators of the electrochemical energy storage system to be evaluated (i.e., the evaluation indicator values) can be obtained. These two values ​​are then weighted and summed to obtain the weighted values ​​for the four dimensions: financial performance, environmental impact, social benefits, and sustainability.

[0038] Step S103: Based on the weighted values ​​of each dimension, the comprehensive score of the electrochemical energy storage system to be evaluated is determined using the approximation of ideal solution ranking method, thus obtaining the evaluation result. Specifically, this embodiment uses the approximation of ideal solution ranking method to simulate an ideal scheme composed of the best values ​​of each element and a negative ideal scheme composed of the worst values ​​of each element. By calculating the distance between the electrochemical energy storage system to be evaluated and these two extreme schemes (i.e., the distance between the weighted values ​​of each dimension and the ideal scheme and the negative ideal scheme), a relative closeness between 0 and 1 is finally obtained as the comprehensive score. This score intuitively reflects how close the overall performance of the system is to the ideal state; the higher the score, the better the overall system performance, thus obtaining a clear and comparable evaluation result.

[0039] This embodiment provides a method for evaluating an electrochemical energy storage system, which includes the following steps: Step S201 involves determining the evaluation indicators for each process of the electrochemical energy storage system during implementation, operation, and decommissioning / recycling, across the dimensions of financial performance, environmental impact, social benefits, and sustainability. Specifically, this embodiment uses four dimensions—financial performance, environmental impact, social benefits, and sustainability—as primary indicators for each process, and further constructs secondary and tertiary indicators. The primary indicators define the macro-level direction of the evaluation; the secondary indicators can be refined within each dimension by incorporating key evaluation content from the three stages (implementation, operation, and decommissioning); and the tertiary indicators provide quantifiable and measurable specific definitions for the secondary indicators.

[0040] In one optional implementation, the secondary indicators of the implementation process in the financial performance dimension include cost control indicators, and the tertiary indicators of the implementation process in the financial performance dimension include unit capacity construction cost indicators and budget deviation rate indicators; the secondary indicators of the implementation process in the environmental impact dimension include resource consumption indicators, and the tertiary indicators of the implementation process in the environmental impact dimension include total energy consumption during the construction period indicators and key material consumption indicators; the secondary indicators of the implementation process in the social benefit dimension include local contribution indicators, and the tertiary indicators of the implementation process in the social benefit dimension include local employment person-months indicators and community satisfaction index indicators; the secondary indicators of the implementation process in the sustainability dimension include technological foresight indicators, and the tertiary indicators of the implementation process in the sustainability dimension include technology maturity level indicators and system design compatibility index indicators.

[0041] The secondary indicators of the production and operation process in the financial performance dimension include the benefit-cost ratio indicator, and the tertiary indicators include the cost per kilowatt-hour indicator and the annual operation and maintenance cost ratio indicator. The secondary indicators of the production and operation process in the environmental impact dimension include emission intensity indicators, and the tertiary indicators include carbon dioxide emissions per unit of discharge and wastewater generation indicators. The secondary indicators of the production and operation process in the social benefit dimension include grid support indicators, and the tertiary indicators include grid frequency regulation response compliance rate and peak-valley regulation contribution indicators. The secondary indicators of the production and operation process in the sustainability dimension include adaptability indicators, and the tertiary indicators include compliance rate and subsidy dependence indicators.

[0042] The secondary indicators of the decommissioning and recycling process in terms of financial performance include economic feasibility indicators; the tertiary indicators of the decommissioning and recycling process in terms of financial performance include net present value of decommissioning and recycling and material residual rate indicators. The secondary indicators of the decommissioning and recycling process in terms of environmental impact include pollution control indicators; the tertiary indicators of the decommissioning and recycling process in terms of environmental impact include waste harmless treatment rate and heavy metal leakage risk index indicators. The secondary indicators of the decommissioning and recycling process in terms of social benefits include community safety indicators; the tertiary indicators of the decommissioning and recycling process in terms of social benefits include the number of safety accidents during decommissioning and the number of public complaints. The secondary indicators of the decommissioning and recycling process in terms of sustainability include recycling potential indicators; the tertiary indicators of the decommissioning and recycling process in terms of sustainability include lithium recovery rate, cobalt recovery rate, and plastic recycling rate indicators.

[0043] Step S202: The weight of each evaluation index is determined by the weight assignment method, and the weighted value of each dimension is determined by combining the evaluation index values ​​of the electrochemical energy storage system to be evaluated.

[0044] Specifically, step S202 includes: Step S2021 involves using the Analytic Hierarchy Process (AHP) to determine the relative importance weights of the four primary dimension indicators, the relative importance weights of the secondary indicators for different processes within each dimension, and the relative importance weights of the tertiary indicators. Specifically, domain experts (technical, economic, environmental, social, etc.) can be organized to scientifically determine the relative importance weights among the four primary dimensions (W_financial, W_environmental, W_social, W_sustainable), the relative importance weights of the secondary indicators within each dimension at different stages (implementation, operation, decommissioning), and the relative importance weights of the corresponding tertiary indicators for each secondary indicator through pairwise comparison judgment matrices. The AHP ensures the logical rationality of the weights through consistency checks, replacing subjective and arbitrary weight assignment with a scientific method, thus reflecting the actual importance of the weights.

[0045] Step S2022: Based on the relative importance weights of each tertiary indicator for each process under each dimension and the corresponding tertiary indicator values ​​of the electrochemical energy storage system to be evaluated, determine the secondary indicator values ​​for each process under each dimension. Different methods are used to determine different tertiary indicators.

[0046] Specifically, during implementation, the values ​​of unit capacity construction cost and budget deviation rate can be obtained from project final accounts reports and procurement contracts; the values ​​of total energy consumption and key material consumption during the construction period can be obtained from construction records and bills of materials; the values ​​of local employment month-to-months and community satisfaction index can be obtained from human resources records or questionnaires; and the values ​​of technology maturity level and system design compatibility index can be obtained from expert reviews or technical documents.

[0047] During production and operation, the values ​​of the cost per kilowatt-hour and the proportion of annual operation and maintenance costs can be obtained from operation reports or financial systems; the values ​​of carbon dioxide emissions per unit of discharge and wastewater generation can be obtained from environmental monitoring reports or carbon footprint accounting; the grid frequency regulation response qualification rate and peak-valley regulation contribution can be obtained from grid dispatch instructions or operation logs; and the compliance rate and subsidy dependence can be obtained through comparison of relevant documents and financial analysis.

[0048] During the decommissioning and recycling process, the net present value (NPV) and material residual rate indicators can be obtained through economic calculations of the recycling plan and market quotations; the waste harmless treatment rate and heavy metal leakage risk index indicators can be obtained from environmental impact assessment reports and recycling records; the number of safety accidents and public complaints during the decommissioning process can be obtained from safety records and regulatory platforms; and the lithium recovery rate, cobalt recovery rate, and plastic recycling rate indicators can be obtained from recycling process reports and material testing.

[0049] After obtaining the relevant tertiary indicator values ​​as described above, the qualitative data is first converted into quantitative data. Then, the quantitative data and the original numerical data are normalized to eliminate the influence of dimensions. Next, the normalized tertiary indicator values ​​and their corresponding relative importance weights are weighted and summed to obtain the indicator value for each process under each dimension, i.e., the secondary indicator value for each dimension.

[0050] Step S2023: Determine the first-level dimension value for each dimension based on the relative importance weights of each secondary indicator under each dimension and the corresponding secondary indicator values ​​for different processes. Specifically, after determining the secondary indicator value for each dimension, the value is weighted and summed with the relative importance weights of the corresponding secondary indicators to obtain the indicator value for each dimension, i.e., the first-level dimension indicator value.

[0051] Step S2024: Determine the weighted value of each dimension based on the relative importance weights of the four primary dimension indicators and the values ​​of the next-level dimensions. Specifically, multiply the values ​​of the four primary dimension indicators by their corresponding relative importance weights to obtain the weighted value of each dimension (also known as the score of each dimension).

[0052] Step S203: Based on the weighted values ​​of each dimension, the comprehensive score of the electrochemical energy storage system to be evaluated is determined by the approximation ideal solution ranking method, and the evaluation result is obtained.

[0053] Specifically, step S203 includes: Step S2031 involves determining the positive and negative ideal solutions for each dimension's weighted values ​​using an approximation-ideal-solution ranking method. Specifically, the positive and negative ideal solutions are also referred to as the optimal and worst values, respectively. In this embodiment, the determined positive and negative ideal solutions include the positive and negative ideal solutions for each dimension. When there are multiple electrochemical energy storage systems to be evaluated, the optimal value can be the maximum value of the corresponding dimension's weighted value, and the worst value can be the minimum value of the corresponding dimension's weighted value. If there is only one electrochemical energy storage system to be evaluated, the optimal and worst values ​​can be predetermined based on the actual situation.

[0054] Step S2032: Determine the comprehensive score of the electrochemical energy storage system to be evaluated based on the Euclidean distance between the weighted values ​​of each dimension and the positive and negative ideal solutions, thus obtaining the evaluation result. Specifically, after determining the positive and negative ideal solutions for each dimension, calculate the Euclidean distance D between the weighted value of each dimension and the positive ideal solution. + And the Euclidean distance D of each dimension's weighted values ​​and the negative ideal solution. - Then the comprehensive score of the i-th electrochemical energy storage system to be evaluated is expressed as Ci=D - / (D + + D - ).

[0055] The evaluation results include weighted values ​​for each dimension, a comprehensive score, identified problems, and solutions. Specifically, after determining the comprehensive score, it can be output along with the scores for each dimension. Furthermore, for each dimension, the reasons for lower scores and corresponding solutions can be analyzed based on secondary and tertiary indicator values.

[0056] As one or more specific application embodiments of the present invention, the electrochemical energy storage system evaluation method is implemented using the following process: 1. Determine the evaluation indicators. The evaluation indicators determined in this embodiment are shown in Table 1 below.

[0057] Table 1 Indicators at all levels

[0058] 2. The weights of each evaluation indicator are determined using the analytic hierarchy process (AHP).

[0059] 3. Calculation of individual scores and overall score.

[0060] 3.1 Collect the raw data (numerical and qualitative to quantitative) of all tertiary indicators, perform normalization processing, and eliminate the influence of dimensions.

[0061] 3.2 Construct a weighted normalized decision matrix: Multiply the normalized third-level indicator data by their corresponding third-level weights (determined by AHP), and then aggregate them layer by layer upwards (considering the influence of second-level and first-level weights) to form a weighted value that reflects the performance of each dimension and stage.

[0062] 3.3. TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) is used to determine the Positive Ideal Solution (PIS) and Negative Ideal Solution (NIS): In the weighted normalized matrix, the optimal value (constituting the PIS) and the worst value (constituting the NIS) for each indicator (or the aggregated dimension / stage indicators) are identified. Proximity is calculated: For the evaluated energy storage project, the Euclidean distance between its evaluation result vector and the PIS and NIS is calculated.

[0063] 3.4 Calculate the overall score Ci. The Ci value ranges from 0 to 1. The closer it is to 1, the closer the overall performance of the project is to the ideal state.

[0064] The electrochemical energy storage system evaluation method provided by this invention has the following technical effects: Systematic: For the first time, a comprehensive post-evaluation framework covering the entire life cycle (implementation-operation-decommissioning) and multiple dimensions (financial-environmental-social-sustainability) of electrochemical energy storage projects has been constructed.

[0065] Comprehensiveness: The indicator system (three levels) is scientifically designed and comprehensively covers all aspects, fully reflecting the project's overall value, risks, and externalities.

[0066] Objectivity and scientific rigor: AHP is used to determine weights to avoid subjective arbitrariness; TOPSIS is used for quantitative integration, ensuring objective and comparable results.

[0067] Operability: The indicator system is clear, the calculation method is clear (AHP+TOPSIS is mature and reliable), and it is easy to program and implement an automated evaluation system.

[0068] High decision support value: The output of sub-scores (stage performance, dimension performance) and total score (Ci) provides project owners, investors, regulatory agencies, insurance companies and others with intuitive and quantitative decision-making basis (such as operation optimization, design improvement, investment decision, risk management, industry benchmarking).

[0069] Promote the healthy development of the industry: Establish standardized evaluation methods, promote experience sharing, best practice dissemination, and technical route comparison, and guide the industry towards a more efficient, environmentally friendly, and sustainable direction.

[0070] The following uses a 100MW / 200MWh lithium-ion battery energy storage project as an example to illustrate the evaluation method for this electrochemical energy storage system: Step 1: Data collection and standardization (three-level indicator layer).

[0071] Some of the tertiary indicators are shown in Table 2 below: Table 2. Level 3 Indicators

[0072] The weights of each indicator are determined by experts through AHP (for example, in the financial dimension, LCOS accounts for 40%, operation and maintenance costs account for 30%, and others account for 30%). Step 2: Weighted score calculation (secondary indicator layer).

[0073] Taking "Production and Operation Process: Revenue-Cost Ratio" (financial dimension) as an example: Level 3 indicators: LCOS (weight 0.4, standardized value 0.82) → Weighted value = 0.4 × 0.82 = 0.328; Annual maintenance cost percentage (weight 0.3, standardized value 0.75) → Weighted value = 0.3 × 0.75 = 0.225; The score for the secondary indicator is 0.328 + 0.225 = 0.553 (then 0.6 is taken when summing up upwards).

[0074] Step 3: TOPSIS overall score (first-level dimensions and overall score).

[0075] 1) Construct a weighted decision matrix. See Table 3 below: Table 3 Weighted Decision Matrix

[0076] 2) Calculate the Euclidean distance.

[0077]

[0078] 3) Calculate the overall score Ci.

[0079]

[0080] Interpretation of results: Ci = 0.536 (moderate level), financial and social benefits need to be optimized.

[0081] Step 4: Output Results and Decision Support. See Table 4 below for details: Table 4 Evaluation Results

[0082] This embodiment also provides an electrochemical energy storage system evaluation device, which is used to implement the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0083] This embodiment provides an evaluation device for an electrochemical energy storage system, such as... Figure 2 As shown, it includes: The indicator determination module 21 is used to determine the evaluation indicators for each process of the electrochemical energy storage system in terms of financial performance, environmental impact, social benefits, and sustainability during the implementation, production and operation, and decommissioning and recycling processes. The weighted calculation module 22 is used to determine the weight of each evaluation index by using the weight assignment method, and to determine the weighted value of each dimension by combining the evaluation index value of the electrochemical energy storage system to be evaluated. Evaluation module 23 is used to determine the comprehensive score of the electrochemical energy storage system to be evaluated based on the weighted values ​​of each dimension and the ranking method of approximating the ideal solution, so as to obtain the evaluation result.

[0084] The electrochemical energy storage system evaluation device provided in this embodiment of the invention can execute the electrochemical energy storage system evaluation method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects for executing the method. Further functional descriptions of the above modules and units are the same as in the corresponding embodiments described above, and will not be repeated here.

[0085] Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention.

[0086] The following is a detailed reference. Figure 3 This diagram illustrates a structural schematic suitable for implementing an electronic device according to embodiments of the present invention. The electronic device may include a processor (e.g., a central processing unit, a graphics processing unit, etc.) 11, which can perform various appropriate actions and processes according to a program stored in read-only memory (ROM) 12 or a program loaded from memory 18 into random access memory (RAM) 13. The RAM 13 also stores various programs and data required for the operation of the electronic device. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0087] Typically, the following devices can be connected to I / O interface 15: input devices 16 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 17 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; memory devices 18 including, for example, magnetic tapes, hard disks, etc.; and communication devices 19. Communication device 19 allows electronic devices to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 3 Electronic devices with various devices are shown, but it should be understood that it is not required to implement or have all of the devices shown, and more or fewer devices may be implemented or have instead.

[0088] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a non-transitory computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device 19, or installed from a memory 18, or installed from a ROM 12. When the computer program is executed by the processor 11, it performs the functions defined in the electrochemical energy storage system evaluation method of the embodiments of the present invention.

[0089] Figure 3 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention.

[0090] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code. When the software or computer code is accessed and executed by the computer, processor, or hardware, the electrochemical energy storage system evaluation method shown in the above embodiments is implemented.

[0091] A portion of this invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and / or technical solutions according to the invention through the operation of the computer. Those skilled in the art will understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executing the instructions, or the computer compiling the instructions and then executing the corresponding compiled program, or the computer reading and executing the instructions, or the computer reading and installing the instructions and then executing the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to a computer.

[0092] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A method for evaluating an electrochemical energy storage system, characterized in that, The method includes: Determine the evaluation indicators for each process of electrochemical energy storage system in terms of financial performance, environmental impact, social benefits, and sustainability, including the implementation, production and operation, and decommissioning and recycling processes. The weight of each evaluation index is determined by weight assignment method, and the weighted value of each dimension is determined by combining the evaluation index values ​​of the electrochemical energy storage system to be evaluated. Based on the weighted values ​​of each dimension, the comprehensive score of the electrochemical energy storage system to be evaluated is determined by the approximation of the ideal solution ranking method, and the evaluation results are obtained.

2. The method according to claim 1, characterized in that: The secondary indicators of the implementation process in terms of financial performance include cost control indicators, and the tertiary indicators of the implementation process in terms of financial performance include unit capacity construction cost indicators and budget deviation rate indicators. The secondary indicators of the implementation process in the environmental impact dimension include resource consumption indicators, and the tertiary indicators of the implementation process in the environmental impact dimension include total energy consumption during the construction period and key material consumption indicators. The secondary indicators of the implementation process in the social benefit dimension include local contribution indicators, and the tertiary indicators of the implementation process in the social benefit dimension include local employment month indicators and community satisfaction index indicators. The secondary indicators of the implementation process in the sustainability dimension include technological foresight indicators, and the tertiary indicators of the implementation process in the sustainability dimension include technology maturity level indicators and system design compatibility index indicators.

3. The method according to claim 1, characterized in that: The secondary indicators of the production and operation process in terms of financial performance include the revenue-cost ratio indicator, and the tertiary indicators of the production and operation process in terms of financial performance include the cost per kilowatt-hour indicator and the annual operation and maintenance cost ratio indicator. The secondary indicators of the production and operation process in the environmental impact dimension include emission intensity indicators, and the tertiary indicators of the production and operation process in the environmental impact dimension include carbon dioxide emissions per unit of discharge and wastewater generation indicators. The secondary indicators of the production and operation process in the social benefit dimension include power grid support indicators, and the tertiary indicators of the production and operation process in the social benefit dimension include power grid frequency regulation response qualification rate indicators and peak-valley regulation contribution indicators. The secondary indicators of the production and operation process in the sustainability dimension include adaptability indicators, and the tertiary indicators of the production and operation process in the sustainability dimension include compliance rate indicators and subsidy dependence indicators.

4. The method according to claim 1, characterized in that: The secondary indicators of the decommissioning and recycling process in terms of financial performance include economic feasibility indicators, and the tertiary indicators of the decommissioning and recycling process in terms of financial performance include decommissioning and recycling net present value indicators and material residual rate indicators. The secondary indicators of the decommissioning and recycling process in the environmental impact dimension include pollution control indicators, and the tertiary indicators of the decommissioning and recycling process in the environmental impact dimension include waste harmless treatment rate indicators and heavy metal leakage risk index indicators. The secondary indicators of the social benefits of the decommissioning and recycling process include community safety indicators, and the tertiary indicators of the social benefits of the decommissioning and recycling process include the number of safety accidents during the decommissioning process and the number of public complaints. The secondary indicators of the decommissioning and recycling process in the sustainability dimension include the recycling potential indicator, and the tertiary indicators of the decommissioning and recycling process in the sustainability dimension include the lithium recovery rate indicator, the cobalt recovery rate indicator, and the plastic recycling rate indicator.

5. The method according to claim 1, characterized in that, The evaluation criteria are divided into four primary dimensions: financial performance, environmental impact, social benefits, and sustainability. Evaluation indicators include secondary and tertiary indicators for each dimension. A weighted assignment method is used to determine the weight of each indicator, and the weighted values ​​for each dimension are determined by combining the evaluation indicator values ​​of the electrochemical energy storage system under evaluation. These include: The relative importance weights of the four primary dimension indicators, the relative importance weights of the secondary indicators of different processes under each dimension, and the relative importance weights of the tertiary indicators were determined using the analytic hierarchy process (AHP). The values ​​of each secondary index for each process under each dimension are determined based on the relative importance weights of each tertiary index for each process under each dimension and the corresponding tertiary index values ​​of the electrochemical energy storage system to be evaluated. The values ​​of the first-level dimensions under each dimension are determined based on the relative importance weights of each secondary indicator under each dimension and the corresponding secondary indicator values ​​for different processes. The weighted value of each dimension is determined based on the relative importance weights of the four primary dimension indicators and the values ​​of the next-level dimensions.

6. The method according to claim 1, characterized in that, Based on the weighted values ​​of each dimension, the comprehensive score of the electrochemical energy storage system to be evaluated is determined using the approximation of ideal solution ranking method, resulting in the evaluation results, including: The positive and negative ideal solutions for each dimension weighting value are determined by the approximation ideal solution ranking method. The comprehensive score of the electrochemical energy storage system to be evaluated is determined based on the Euclidean distance between the weighted values ​​of each dimension and the positive and negative ideal solutions, and the evaluation results are obtained.

7. The method according to claim 1, characterized in that, The evaluation results include weighted values ​​for each dimension, overall score, existing problems, and solutions.

8. An evaluation device for an electrochemical energy storage system, characterized in that, The device includes: The indicator determination module is used to determine the evaluation indicators for each process of the electrochemical energy storage system in terms of financial performance, environmental impact, social benefits, and sustainability. The weighted calculation module is used to determine the weight of each evaluation index using the weight assignment method, and to determine the weighted value of each dimension in combination with the evaluation index value of the electrochemical energy storage system to be evaluated. The evaluation module is used to determine the comprehensive score of the electrochemical energy storage system to be evaluated based on the weighted values ​​of each dimension and the ranking method of approximating the ideal solution, so as to obtain the evaluation result.

9. An electronic device, characterized in that, include: A memory and a processor are interconnected, the memory stores computer instructions, and the processor executes the computer instructions to perform the electrochemical energy storage system evaluation method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to execute the electrochemical energy storage system evaluation method according to any one of claims 1 to 7.

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