A Generalizable Method for Capacity Estimation and RUL Prediction in Lithium-Ion Batteries-Reference-Cited by-同舟云学术

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A Generalizable Method for Capacity Estimation and RUL Prediction in Lithium-Ion Batteries

Published:2023-12-20 Issue:1 Volume:63 Page:345-357
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Wang Yixiu¹^ORCID,Zhu Jiangong²,Cao Liang¹,Liu Jianfeng³,You Pufan⁴,Gopaluni Bhushan¹^ORCID,Cao Yankai¹^ORCID

Affiliation:

1. Department of Chemical and Biological Engineering, University of British Columbia, Vancouver, British Columbia V6T 1Z3, Canada

2. Clean Energy Automotive Engineering Center, Tongji University, Shanghai 201804, China

3. Amazon, Seattle, Washington 98109, United States

4. Department of Statistics, University of Manitoba, Winnipeg, Manitoba R3T 2N2, Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.3c02849

Reference42 articles.

1. Perspectives of automotive battery R&D in China, Germany, Japan, and the USA

2. A review on the key issues of the lithium ion battery degradation among the whole life cycle

3. Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation

4. Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles

5. Modeling of lithium ion cells?A simple equivalent-circuit model approach

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1. Data‐driven battery capacity estimation using support vector regression and model bagging under fast‐charging conditions;The Canadian Journal of Chemical Engineering;2024-07-02

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