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State of health estimation for lithium-ion battery based on charging process and improved extreme learning machine

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Year: 2025
Type: article
Source: Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy
DOI: 10.1177/09576509251384123
Authors: Xingbo Zhang, Kui Chen, Yang Luo, Mingchuan Tang, Zhou Long, Changshan Bai, Guoqiang Gao, Guangning Wu
Institution: Southwest Jiaotong 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, Good health and well-being

Open Access status: closed

Funder: Fundamental Research Funds for the Central Universities
Award: G8824708371
OpenAlex ID: W4414613260
FWCI:
Cites: 42
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