State of health estimation of lithium-ion battery using energy accumulation-based feature extraction and improved relevance vector regression-Reference-Cited by-同舟云学术

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State of health estimation of lithium-ion battery using energy accumulation-based feature extraction and improved relevance vector regression

Published:2023-09 Issue: Volume:68 Page:107754
ISSN:2352-152X
Container-title:Journal of Energy Storage
language:en
Short-container-title:Journal of Energy Storage

Author:

Qian Cheng,He Ning,He Lile,Li Huiping,Cheng Fuan

Funder

National Natural Science Foundation of China

Shanxi Provincial Key Research and Development Project

Shaanxi Province Key Research and Development Projects

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference58 articles.

1. An evolutionary framework for lithium-ion battery state of health estimation;Cai;J. Power Sources,2019

2. A novel Gaussian process regression model for state-of-health estimation of lithium-ion battery using charging curve;Yang;J. Power Sources,2018

3. State-of-health estimation for Li-ion batteries by combing the incremental capacity analysis method with grey relational analysis;Li;J. Power Sources,2019

4. Online state-of-health estimation for Li-ion battery using partial charging segment based on support vector machine;Feng;IEEE Trans. Veh. Technol.,2019

5. Battery health estimation with degradation pattern recognition and transfer learning;Deng;J. Power Sources,2022

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