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A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery
Xin Sui, Shan He, Søren Byg Vilsen, Jinhao Meng, Remus Teodorescu, Daniel-Ioan Stroe
- Batteries
- Power Electronics System Integration and Materials
- The Faculty of Engineering and Science
- AAU Energy
- Mechatronic Systems
- Power Electronic Control, Reliability and System Optimization
- Applied Power Electronic Systems
- Statistics/Mathematical Economics
- Department of Mathematical Sciences
- Photovoltaic Systems
- E-Mobility and Drives
- Center for Research on Smart Battery
Research output: Contribution to journal › Journal article › Research › peer-review
183
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(Scopus)
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