Work

Exploiting physics-knowledge from unlabeled data to enhance battery lifetime prediction

Year: 2026

Type: article

Source: eTransportation

DOI: 10.1016/j.etran.2026.100560

Authors: Aihua Tang, Yuehan Li, Jinpeng Tian, Quanqing Yu, Ning Yu, Yuchen Xu

Institutions: Chongqing University of Technology, Hong Kong Polytechnic University, Harbin Institute of Technology, Sun Yat-sen University

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: green

Funders: National Natural Science Foundation of China, Ministry of Education, Natural Science Foundation of Shandong Province, Chongqing Municipal Education Commission, Chongqing Graduate Student Research Innovation Project

Awards: G1967049612, G2645439923, G3622306432, G4894973131, G551378131, G6095083171, G6869899543, G8432690726

OpenAlex ID: W7126048134

FWCI: 11.57

Cites: 66

Cited by: 6

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