Search for the Optimal Charging Pattern of Multi-stage Constant Current Charging Method Using Particle Swarm Optimization

Yuan Kai Liu; Kun Che Ho; Yi Hua Liu; Shun Chung Wang

doi:10.1109/IIAI-AAI.2018.00115

Search for the Optimal Charging Pattern of Multi-stage Constant Current Charging Method Using Particle Swarm Optimization

Yuan Kai Liu
, Kun Che Ho
, Yi Hua Liu
, Shun Chung Wang

National Taiwan University of Science and Technology
Lunghwa University of Science and Technology

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

3 Scopus citations

Abstract

In this study, particle swarm optimization method is adopted to search the optimal charging pattern of the multi-stage constant current charging method. The proposed uses only the equivalent model of the lithium-ion battery; hence, time-consuming experiments can be avoided. The presented study takes both the charging time and temperature rise into account. Comparing with CC-CV method, the average temperature rise can be improved by 42.1 % and the charging time can be shortened by 18.4 %.

Original language	English
Title of host publication	Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	536-541
Number of pages	6
ISBN (Electronic)	9781538674475
DOIs	https://doi.org/10.1109/IIAI-AAI.2018.00115
State	Published - 02 07 2018
Externally published	Yes
Event	7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018 - Yonago, Japan Duration: 08 07 2018 → 13 07 2018

Publication series

Name	Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018

Conference

Conference	7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018
Country/Territory	Japan
City	Yonago
Period	08/07/18 → 13/07/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Li-ion Battery
Multi-Stage Constant Current Charging
Particle Swarm Optimization

Access to Document

10.1109/IIAI-AAI.2018.00115

Cite this

Liu, Y. K., Ho, K. C., Liu, Y. H., & Wang, S. C. (2018). Search for the Optimal Charging Pattern of Multi-stage Constant Current Charging Method Using Particle Swarm Optimization. In Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018 (pp. 536-541). Article 8693279 (Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IIAI-AAI.2018.00115

Liu, Yuan Kai ; Ho, Kun Che ; Liu, Yi Hua et al. / Search for the Optimal Charging Pattern of Multi-stage Constant Current Charging Method Using Particle Swarm Optimization. Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 536-541 (Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018).

@inproceedings{060c2cb650194311a8b5c8e9055a41a6,

title = "Search for the Optimal Charging Pattern of Multi-stage Constant Current Charging Method Using Particle Swarm Optimization",

abstract = "In this study, particle swarm optimization method is adopted to search the optimal charging pattern of the multi-stage constant current charging method. The proposed uses only the equivalent model of the lithium-ion battery; hence, time-consuming experiments can be avoided. The presented study takes both the charging time and temperature rise into account. Comparing with CC-CV method, the average temperature rise can be improved by 42.1 \% and the charging time can be shortened by 18.4 \%.",

keywords = "Li-ion Battery, Multi-Stage Constant Current Charging, Particle Swarm Optimization",

author = "Liu, \{Yuan Kai\} and Ho, \{Kun Che\} and Liu, \{Yi Hua\} and Wang, \{Shun Chung\}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018 ; Conference date: 08-07-2018 Through 13-07-2018",

year = "2018",

month = jul,

day = "2",

doi = "10.1109/IIAI-AAI.2018.00115",

language = "英语",

series = "Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "536--541",

booktitle = "Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018",

address = "美国",

}

Liu, YK, Ho, KC, Liu, YH & Wang, SC 2018, Search for the Optimal Charging Pattern of Multi-stage Constant Current Charging Method Using Particle Swarm Optimization. in Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018., 8693279, Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018, Institute of Electrical and Electronics Engineers Inc., pp. 536-541, 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018, Yonago, Japan, 08/07/18. https://doi.org/10.1109/IIAI-AAI.2018.00115

Search for the Optimal Charging Pattern of Multi-stage Constant Current Charging Method Using Particle Swarm Optimization. / Liu, Yuan Kai; Ho, Kun Che; Liu, Yi Hua et al.
Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 536-541 8693279 (Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018).

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

TY - GEN

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AU - Liu, Yuan Kai

AU - Ho, Kun Che

AU - Liu, Yi Hua

AU - Wang, Shun Chung

PY - 2018/7/2

Y1 - 2018/7/2

N2 - In this study, particle swarm optimization method is adopted to search the optimal charging pattern of the multi-stage constant current charging method. The proposed uses only the equivalent model of the lithium-ion battery; hence, time-consuming experiments can be avoided. The presented study takes both the charging time and temperature rise into account. Comparing with CC-CV method, the average temperature rise can be improved by 42.1 % and the charging time can be shortened by 18.4 %.

AB - In this study, particle swarm optimization method is adopted to search the optimal charging pattern of the multi-stage constant current charging method. The proposed uses only the equivalent model of the lithium-ion battery; hence, time-consuming experiments can be avoided. The presented study takes both the charging time and temperature rise into account. Comparing with CC-CV method, the average temperature rise can be improved by 42.1 % and the charging time can be shortened by 18.4 %.

KW - Li-ion Battery

KW - Multi-Stage Constant Current Charging

KW - Particle Swarm Optimization

UR - https://www.scopus.com/pages/publications/85065184363

U2 - 10.1109/IIAI-AAI.2018.00115

DO - 10.1109/IIAI-AAI.2018.00115

M3 - 会议稿件

AN - SCOPUS:85065184363

T3 - Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018

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PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018

Y2 - 8 July 2018 through 13 July 2018

ER -

Liu YK, Ho KC, Liu YH, Wang SC. Search for the Optimal Charging Pattern of Multi-stage Constant Current Charging Method Using Particle Swarm Optimization. In Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 536-541. 8693279. (Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018). doi: 10.1109/IIAI-AAI.2018.00115

Search for the Optimal Charging Pattern of Multi-stage Constant Current Charging Method Using Particle Swarm Optimization

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Access to Document

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