Work

Improving Lithium-Ion Battery Life Prediction using CEEMDAN Decomposition and Machine Learning

Year: 2024

Type: conference-paper

Source: International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)

DOI: 10.1109/isceic63613.2024.10810160

Authors: Xinxin Li, Kun Xie, Ziliang An, Yiwen Zuo

Institutions: Shanghai Institute of Technology, Shanghai Urban Construction Vocational College, Shanghai Polytechnic 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

Open Access status: closed

OpenAlex ID: W4405845883

FWCI:

Cites: 3

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Related to: 10