A review of deep learning approach to predicting the state of health and state of charge of lithium-ion batteries
Guangdong University of Technology · Tsinghua University · +1 more institution
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Abstract
No abstract available for this paper.
Citation impact
251
total citations
- FWCI
- 16.85
- Percentile
- 100%
- References
- 112
Citations per year
Authors
4Topics & keywords
Topics
Keywords
- State of charge
- Battery (electricity)
- Computer science
- State (computer science)
- State of health
- Key (lock)
- Lithium (medication)
- Field (mathematics)
UN Sustainable Development Goals
- Affordable and clean energy
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Funding
- NNNational Natural Science Foundation of ChinaAward: 2210050123
- CPChina Postdoctoral Science FoundationAwards: 2021TQ0161, 2021M691709
- DUDalian University of Technology
- GSGuangdong Science and Technology DepartmentAward: ZH22017001200059PWC
- SAScience and Technology Planning Project of Guangdong ProvinceAward: 2019A050510043