Work

Physics-Informed Data-Driven Power Capacity Prediction of Lithium-Ion Battery Against Various Temperatures

Year: 2025

Type: article

Source: IEEE Transactions on Intelligent Transportation Systems

DOI: 10.1109/tits.2025.3549458

Authors: Guangxin Gao, Guangzhong Dong, Yunjiang Lou, Li Sun, Jingwen Wei

Institutions: Harbin Institute of Technology, Nanjing University

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province, Basic and Applied Basic Research Foundation of Guangdong Province

Awards: G130259500, G1478731376, G7964843565, G8513498364

OpenAlex ID: W4409102035

FWCI: 2.234

Cites: 31

Cited by: 9

Related to: 10