Deep learning networks for capacity estimation for monitoring SOH of Li‐ion batteries for electric vehicles-Reference-Cited by-同舟云学术

Deep learning networks for capacity estimation for monitoring SOH of Li‐ion batteries for electric vehicles

Published:2020-10-07 Issue:2 Volume:45 Page:3113-3128
ISSN:0363-907X
Container-title:International Journal of Energy Research
language:en
Short-container-title:Int J Energy Res

Author:

Kaur Kirandeep¹,Garg Akhil²,Cui Xujian³^ORCID,Singh Surinder¹⁴^ORCID,Panigrahi Bijaya Ketan²

Affiliation:

1. Department of Electrical Engineering Indian Institute of Technology Ropar India

2. Centre for Automotive Research and Tribology Indian Institute of Technology Delhi New Delhi India

3. Department of Mechatronics Engineering Shantou University Shantou China

4. Department of Mining, Metallurgy and Materials Engineering, Faculty of Science and Engineering Laval University Quebec Canada

Publisher

Wiley

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/er.6005

Reference42 articles.

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3. Thomson Reuters. Will electric vehicles really create a cleaner planet?; 2019.https://www.thomsonreuters.com/en/reports/electric-vehicles.html. Accessed June 18 2020.

4. Significant role of oxygen redox reaction with O2-release in Li-excess cation-disordered rock-salt cathodes Li2+2Mn1−Ti1−O4: First-principles calculations

5. A Review of State of Health Estimation of Energy Storage Systems: Challenges and Possible Solutions for Futuristic Applications of Li-Ion Battery Packs in Electric Vehicles

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