A comprehensive data-driven assessment scheme for power battery of large-scale electric vehicles in cloud platform
Work
Year: 2023
Type: article
Source: Journal of Energy Storage
Cites: 53
Cited by: 8
Related to: 10
FWCI: 1.568
Citation percentile (by year/subfield): 73.01
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Sustainable Development Goal Affordable and clean energy
Open Access status: closed
Funders National Natural Science Foundation of China, National Natural Science Foundation of China, Natural Science Foundation of Beijing Municipality, Sichuan Province Science and Technology Support Program
Grant IDS 52177217, 62103220, 3212031, 23CXRC0069