Proceedings of the 2017 International Conference on Material Science, Energy and Environmental Engineering (MSEEE 2017)

An ECM-PSO based optimal charging current pattern searching for Li-ion batteries

Authors
Haitao Min, Weiyi Sun, Zhiru Liu, Yuanbin Yu, Dongni Guo
Corresponding Author
Haitao Min
Available Online August 2017.
DOI
10.2991/mseee-17.2017.10How to use a DOI?
Keywords
Li-ion batteries, ECM, PSO algorithm, Multistage constant current charging.
Abstract

EV battery charging is growing in importance as it has a direct influence on the EV performance. Multistage Constant Current (MCC) charging strategy is an effective rapid charging method. This paper proposes an ECM-PSO algorithm to search for the optimal current pattern of the MCC charging strategy. The MCC charging model is built according to the Li-ion battery equivalent circuit model, and the object function for the ECM-PSO optimization was formulated and the optimal current pattern of the MCC charging method was obtained through the ECM-PSO algorithm. The experimental result shows that the obtained current pattern is capable of charging the batteries to 87.7% of the rated capacity within 36.5 min. Compared with the conventional CC-CV charging method, the proposed charging strategy has a performance improvement of 60.3% in charging time reduction, and the average temperature rise during the proposed MCC charging process is 0.5 lower than the CC-CV charging method.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Conference on Material Science, Energy and Environmental Engineering (MSEEE 2017)
Series
Advances in Engineering Research
Publication Date
August 2017
ISBN
10.2991/mseee-17.2017.10
ISSN
2352-5401
DOI
10.2991/mseee-17.2017.10How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Haitao Min
AU  - Weiyi Sun
AU  - Zhiru Liu
AU  - Yuanbin Yu
AU  - Dongni Guo
PY  - 2017/08
DA  - 2017/08
TI  - An ECM-PSO based optimal charging current pattern searching for Li-ion batteries
BT  - Proceedings of the 2017 International Conference on Material Science, Energy and Environmental Engineering (MSEEE 2017)
PB  - Atlantis Press
SP  - 52
EP  - 56
SN  - 2352-5401
UR  - https://doi.org/10.2991/mseee-17.2017.10
DO  - 10.2991/mseee-17.2017.10
ID  - Min2017/08
ER  -