Work

A BiLSTM-FM-Res and Power Curve-Based State-of-Health Estimation Method for Lithium-Ion Batteries Using Partial Charging Segments

Year: 2025

Type: article

Source: IEEE Transactions on Instrumentation and Measurement

DOI: 10.1109/tim.2025.3614887

Authors: Kui Shao, Chao Zhai, Chaolong Zhang, Yigang He, Bolun Du, Ji Wu

Institutions: China University of Geosciences, Jinling Institute of Technology, Wuhan University, China Electric Power Research Institute, Hefei University of Technology

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: Qinglan Project of Jiangsu Province of China, China University of Geosciences

Award: G4834179262

OpenAlex ID: W4414538538

FWCI: 1

Cites: 43

Cited by: 4

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