A Physics-Informed Machine Learning Approach for Estimating Lithium-Ion Battery Temperature
Work
Year: 2022
Type: article
Abstract: The physics-informed neural network (PINN) has drawn much attention as it can reduce training data size and eliminate the need for physics equation identification. This paper presents the implementati... more
Source: IEEE Access
Institution University of Michigan–Dearborn
Cites: 43
Cited by: 30
Related to: 10
FWCI: 3.136
Citation percentile (by year/subfield): 99.99
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Sustainable Development Goal Affordable and clean energy
Open Access status: gold
APC paid (est): $1,850