Novel Battery State of Health Estimation and Lifetime Prediction Method Based on the Catboost Model-Reference-Cited by-同舟云学术

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Novel Battery State of Health Estimation and Lifetime Prediction Method Based on the Catboost Model

Published:2024-05-14 Issue:11 Volume:38 Page:10310-10323
ISSN:0887-0624
Container-title:Energy & Fuels
language:en
Short-container-title:Energy Fuels

Author:

Zhang Chi¹²^ORCID,Hong Jichao¹²,Liang Fengwei¹²,Zhang Huaqin¹²,Wang Facheng³,Zhang Xinyang¹²,Yang Jingsong¹²,Huang Zhongguo¹²,Li Kerui¹²

Affiliation:

1. School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China

2. Shunde Innovation School of University of Science and Technology Beijing, Foshan, Guangdong 528000, China

3. China North Vehicle Research Institute, China North Industries Group Corporation Limited, Beijing 100072, China

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

Shunde Graduate School, University of Science and Technology Beijing

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Beijing Nova Program

Key Laboratory of Advanced Manufacture Technology for Automobile Parts, Ministry of Education

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.energyfuels.4c01304

Reference37 articles.

1. Review and Development of Electric Motor Systems and Electric Powertrains for New Energy Vehicles

2. A review of multiple input DC-DC converter topologies linked with hybrid electric vehicles and renewable energy systems

3. Rapid health estimation of in-service battery packs based on limited labels and domain adaptation

4. Model-Based Health Diagnosis for Lithium-Ion Battery Pack in Space Applications

5. Critical review of state of health estimation methods of Li-ion batteries for real applications

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