State of Charge Estimation of the Lithium-ion Battery based on Neural Network in Electric Vehicles

C. C. Lee; Panpan Hu; C. Y. Li; S. H. Wang

doi:10.1109/ISPCE-ASIA57917.2022.9971063

State of Charge Estimation of the Lithium-ion Battery based on Neural Network in Electric Vehicles

C. C. Lee
, Panpan Hu
, C. Y. Li
, S. H. Wang

Construction and Quality Management

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

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’ batteries.

Original language	English
Title of host publication	ISPCE-ASIA 2022 - IEEE International Symposium on Product Compliance Engineering - Asia 2022
ISBN (Electronic)	9798350332483
DOIs	https://doi.org/10.1109/ISPCE-ASIA57917.2022.9971063
Publication status	Published - 2022
Event	2022 IEEE International Symposium on Product Compliance Engineering - Asia, ISPCE-ASIA 2022 - Guangzhou, China Duration: 4 Nov 2022 → 6 Nov 2022

Publication series

Name	ISPCE-ASIA 2022 - IEEE International Symposium on Product Compliance Engineering - Asia 2022

Conference

Conference	2022 IEEE International Symposium on Product Compliance Engineering - Asia, ISPCE-ASIA 2022
Country/Territory	China
City	Guangzhou
Period	4/11/22 → 6/11/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Lithium-ion batteries
electrical vehicles
machine learning
neural network
state of charge

Access to Document

10.1109/ISPCE-ASIA57917.2022.9971063

Cite this

Lee, C. C., Hu, P., Li, C. Y., & Wang, S. H. (2022). State of Charge Estimation of the Lithium-ion Battery based on Neural Network in Electric Vehicles. In ISPCE-ASIA 2022 - IEEE International Symposium on Product Compliance Engineering - Asia 2022 (ISPCE-ASIA 2022 - IEEE International Symposium on Product Compliance Engineering - Asia 2022). https://doi.org/10.1109/ISPCE-ASIA57917.2022.9971063

@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",

}

Lee, CC, Hu, P, Li, CY & Wang, SH 2022, State of Charge Estimation of the Lithium-ion Battery based on Neural Network in Electric Vehicles. in ISPCE-ASIA 2022 - IEEE International Symposium on Product Compliance Engineering - Asia 2022. ISPCE-ASIA 2022 - IEEE International Symposium on Product Compliance Engineering - Asia 2022, 2022 IEEE International Symposium on Product Compliance Engineering - Asia, ISPCE-ASIA 2022, Guangzhou, China, 4/11/22. https://doi.org/10.1109/ISPCE-ASIA57917.2022.9971063

State of Charge Estimation of the Lithium-ion Battery based on Neural Network in Electric Vehicles. / Lee, C. C.; Hu, Panpan; Li, C. Y. et al.
ISPCE-ASIA 2022 - IEEE International Symposium on Product Compliance Engineering - Asia 2022. 2022. (ISPCE-ASIA 2022 - IEEE International Symposium on Product Compliance Engineering - Asia 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - State of Charge Estimation of the Lithium-ion Battery based on Neural Network in Electric Vehicles

AU - Lee, C. C.

AU - Hu, Panpan

AU - Li, C. Y.

AU - Wang, S. H.

PY - 2022

Y1 - 2022

N2 - 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’ batteries.

AB - 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’ batteries.

KW - Lithium-ion batteries

KW - electrical vehicles

KW - machine learning

KW - neural network

KW - state of charge

UR - https://www.scopus.com/pages/publications/85145436531

U2 - 10.1109/ISPCE-ASIA57917.2022.9971063

DO - 10.1109/ISPCE-ASIA57917.2022.9971063

M3 - Conference contribution

AN - SCOPUS:85145436531

T3 - ISPCE-ASIA 2022 - IEEE International Symposium on Product Compliance Engineering - Asia 2022

BT - ISPCE-ASIA 2022 - IEEE International Symposium on Product Compliance Engineering - Asia 2022

T2 - 2022 IEEE International Symposium on Product Compliance Engineering - Asia, ISPCE-ASIA 2022

Y2 - 4 November 2022 through 6 November 2022

ER -

Lee CC, Hu P, Li CY, Wang SH. State of Charge Estimation of the Lithium-ion Battery based on Neural Network in Electric Vehicles. In ISPCE-ASIA 2022 - IEEE International Symposium on Product Compliance Engineering - Asia 2022. 2022. (ISPCE-ASIA 2022 - IEEE International Symposium on Product Compliance Engineering - Asia 2022). doi: 10.1109/ISPCE-ASIA57917.2022.9971063

State of Charge Estimation of the Lithium-ion Battery based on Neural Network in Electric Vehicles

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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