Promoting charging safety of electric bicycles via machine learning

The worldwide penetration of electric bicycles has caused numerous charging accidents; however, online diagnosing charging faults remains challenging because of non-standard chargers, non-uniform communication manners and inaccessible battery inner status. The development of Internet of Things enabl...

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Detalles Bibliográficos
Autores principales: Shuai, Chunyan, Yang, Fang, Wang, Wencong, Shan, Jun, Chen, Zheng, Ouyang, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9804133/
https://www.ncbi.nlm.nih.gov/pubmed/36594019
http://dx.doi.org/10.1016/j.isci.2022.105786

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9804133/
https://www.ncbi.nlm.nih.gov/pubmed/36594019
http://dx.doi.org/10.1016/j.isci.2022.105786

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