A data and physical model joint driven method for lithium-ion battery remaining useful life prediction under complex dynamic conditions
Work
Year: 2023
Type: article
Source: Journal of Energy Storage
Institution Beihang University
Cites: 51
Cited by: 12
Related to: 10
FWCI: 2.352
Citation percentile (by year/subfield): 73.01
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Sustainable Development Goal Responsible consumption and production
Open Access status: closed
Funders National Natural Science Foundation of China, National Natural Science Foundation of China, China Postdoctoral Science Foundation, National Key Research and Development Program of China
Grant IDS 62303031, 52075028, 2021M690298, 2021YFF0603400