Towards interactional management for power batteries of electric vehicles-Reference-Cited by-同舟云学术

Towards interactional management for power batteries of electric vehicles

Published:2023 Issue:3 Volume:13 Page:2036-2056
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

He Rong¹^ORCID,Xie Wenlong¹,Wu Billy²,Brandon Nigel P.³,Liu Xinhua¹²^ORCID,Li Xinghu¹,Yang Shichun¹

Affiliation:

1. School of Transportation Science and Engineering, Beihang University, Haidian District, 100191, Beijing, China

2. Dyson School of Design Engineering, Imperial College London, South Kensington Campus, SW7 2AZ, London, UK

3. Department of Earth Science and Engineering, Imperial College London, South Kensington Campus, SW7 2AZ, London, UK

Abstract

The rise of cloud computing and machine learning provides a tactical solution on how to efficiently achieve the interactional management and control of power batteries based on the battery system and traffic big data.

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

China Scholarship Council

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2023/RA/D2RA06004C

Reference230 articles.

1. Integrating offline logistics and online system to recycle e-bicycle battery in China

2. Advanced battery management strategies for a sustainable energy future: Multilayer design concepts and research trends

3. A coupled electrochemical-thermal-mechanical degradation modelling approach for lifetime assessment of lithium-ion batteries

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