Predicting the state of charge of lithium ion battery in e-vehicles using Box-Jenkins combined artificial neural network model
Crossref DOI link: https://doi.org/10.1007/s42452-024-06445-5
Published Online: 2025-02-10
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Louis, Glarida Amala
Sampathkumar, Siddharth
Text and Data Mining valid from 2025-02-10
Version of Record valid from 2025-02-10
Article History
Received: 25 July 2024
Accepted: 12 December 2024
First Online: 10 February 2025
Declarations
:
: The authors declare no competing interests.