A review of the state of health for lithium-ion batteries: Research status and suggestions
| Autor: | Huixin Tian, Kun Li, Pengliang Qin, Zhen Zhao |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Battery (electricity)
Safe driving Renewable Energy Sustainability and the Environment Computer science State of health 020209 energy Strategy and Management Industrial production 05 social sciences 02 engineering and technology Industrial and Manufacturing Engineering Reliability engineering Prediction methods 050501 criminology 0202 electrical engineering electronic engineering information engineering 0505 law General Environmental Science |
| Zdroj: | Journal of Cleaner Production. 261:120813 |
| ISSN: | 0959-6526 |
| DOI: | 10.1016/j.jclepro.2020.120813 |
| Popis: | Lithium-ion batteries (LIBs) have become the mainstream power source for battery electric vehicles (BEVs) with relatively superior performance. However, LIBs experience battery aging and performance degradation due to the external environment and internal factors, which should be reflected in the evaluation of the state of health (SOH). Accurately predicting SOH can improve the overall life of the battery and support safe driving in BEVs. At present, while there are many prediction methods for SOH, most are implemented in simulated environments but are challenging to execute in actual industrial production. This review provides a discussion on the aging reasons for LIBs, introduces the SOH prediction method based on the classification framework, and analyzes the key benefits and drawbacks of each method. Finally, the corresponding suggestions and solutions are given in combination with the actual industrial production. |
| Databáze: | OpenAIRE |
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