@inproceedings{18637bd45bff4721825dee722789e91d,
title = "State of Charge Estimation of the Lithium-ion Battery based on Neural Network in Electric Vehicles",
abstract = "In recent years, Lithium-ion batteries have been widely applied in electric vehicles (EVs). The accurate estimation of state of charge (SOC) of EV battery is important for prolonging the battery life. Surely, it is also important for the EV drivers to handle the range anxiety. In this paper, we focus on reviewing applications of neural network algorithms in SOC estimation of EVs{\textquoteright} batteries.",
keywords = "Lithium-ion batteries, electrical vehicles, machine learning, neural network, state of charge",
author = "Lee, {C. C.} and Panpan Hu and Li, {C. Y.} and Wang, {S. H.}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Symposium on Product Compliance Engineering - Asia, ISPCE-ASIA 2022 ; Conference date: 04-11-2022 Through 06-11-2022",
year = "2022",
doi = "10.1109/ISPCE-ASIA57917.2022.9971063",
language = "English",
series = "ISPCE-ASIA 2022 - IEEE International Symposium on Product Compliance Engineering - Asia 2022",
booktitle = "ISPCE-ASIA 2022 - IEEE International Symposium on Product Compliance Engineering - Asia 2022",
}
