Work

TELL-Me: T time-series-decomposition-based ensembled lightweight learning model for diverse battery prognosis and diagnosis

Year: 2025

Type: article

Source: Journal of Energy Chemistry

DOI: 10.1016/j.jechem.2025.01.063

Authors: Kun-Yu Liu, Ting-Ting Wang, Bo-Bo Zou, Hong-Jie Peng, Xinyan Liu

Institution: University of Electronic Science and Technology of China

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

Funder: National Natural Science Foundation of China

Awards: G1560480136, G1820675629

OpenAlex ID: W4407777868

FWCI: 4.053

Cites: 41

Cited by: 16

Related to: 10