| 引用本文: | 黄 健,李建林,李 征.退役锂离子电池健康状态快速评估方法[J].电力系统保护与控制,2021,49(12):25-32.[点击复制] |
| HUANG Jian,LI Jianlin,LI Zheng.A state of health rapid assessment method for decommissioned lithium-ion batteries[J].Power System Protection and Control,2021,49(12):25-32[点击复制] |
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| 摘要: |
| 锂离子电池退役高峰期到来，退役锂离子电池健康状态(State of Health, SOH)快速评估方法因可有效缓解电池退役问题而得到高度重视。提出一种基于层次分析(Analytic Hierarchy Process, AHP)的退役锂离子电池健康状态快速评估方法。首先选取可并行测试的健康因子并分析其可行性与有效性，并采用相关度指数分析健康因子对电池健康状态的表达能力。在此基础上以层次分析法评估电池的健康状态。最后比较不同方法对电池健康状态评估的精度。结果表明所提方法比单要素评估精度更高，比动态评估更容易实现，测试时间更短。 |
| 关键词: 锂离子电池 相关度 健康状态 层次分析 健康因子 |
| DOI：DOI: 10.19783/j.cnki.pspc.210244 |
| 投稿时间：2021-03-08 |
| 基金项目:国家自然科学基金重点项目资助(51837007)；北京市自然科学基金项目资助(21JC0026) |
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| A state of health rapid assessment method for decommissioned lithium-ion batteries |
| HUANG Jian1,LI Jianlin2,LI Zheng1 |
| (1. Department of Information Science and Technology, Donghua University, Shanghai 201620, China; 2. Energy Storage
Technology Engineering Research Center (North China University of Technology), Beijing 100144, China) |
| Abstract: |
| The peak of lithium-ion battery obsolescence is coming, and the State of Health (SOH) rapid assessment method of decommissioned lithium-ion batteries is highly valued as an effective way to alleviate the problem of battery obsolescence. This paper proposes an SOH rapid assessment method for the decommissioned lithium-ion batteries based on an Analytic Hierarchy Process (AHP). First, it selects the health factors that can be tested in parallel and analyzes their feasibility and effectiveness. A correlation index is used to analyze the characterization ability of the health factors to the SOH of batteries. On this basis, the SOH of batteries is evaluated by AHP. Finally, the accuracy of different assessment methods is compared. The result shows that the proposed method has higher accuracy than single-element evaluation, and easier operation and shorter test time than dynamic evaluation.
This work is supported by the Key Program of National Natural Science Foundation of China (No. 51837007) and Beijing Natural Science Foundation (No. 21JC0026). |
| Key words: lithium-ion battery correlation state of health analytic hierarchy process health factor |
