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Smart Grid  2020 

动力锂电池健康状态评估方法综述
Review of the State of Health Estimation Methods for Lithium-Ion Battery

DOI: 10.12677/SG.2020.104024, PP. 211-224

Keywords: 锂离子电池，电动汽车，健康状态，预测
Lithium-Ion Battery, Electric Vehicle, State of Health, Estimate

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Abstract:

由于不可再生能源的日益减少，而电动汽车(Electric vehicles, EV)由于其具有零碳排放，乘坐舒适和轻便等特点变得越来越受欢迎。然而，由于各种内部和外部因素，要准确预测电动汽车的锂电池健康状况(state of health, SOH)等并不是一件容易的事情。基于此目的，本文全面的回顾目前各种不同的SOH预测模型，并进行比较，此外本文还分析了影响电池状态和寿命的预测的一些因素。本文为锂离子电池的SOH估算的技术发展提供了一些选择性的建议。
Due to the declining non-renewable energy sources, electric vehicles (EVs) are becoming more and more popular due to their zero carbon emissions and comfortable and light transportation. However, due to various internal and external factors, it is not easy to accurately predict the state of health (SOH) of lithium-ion battery employed in electric vehicles. For this purpose, this paper will comprehensively review and compare the current various SOH prediction models. This paper also examines some of the factors and possible solutions that affect the prediction of battery status and lifetime. Finally, this paper provides some suggestions for further technological developments in the SOH estimates for lithium-ion batteries and provides some ideas for developing advanced SOH methods for future electric vehicles.

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