Work

Lithium Battery State of health Prediction Based on Automatic Feature Selection

Year: 2025

Type: conference-paper

Source: Youth Academic Annual Conference of Chinese Association of Automation (YAC)

DOI: 10.1109/yac66630.2025.11150030

Authors: Xin Lin, Jie Cao, Jinhua Wang

Institution: Lanzhou 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

Funder: National Natural Science Foundation of China

OpenAlex ID: W7084087766

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Cites: 12

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