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Research on the optimal charging strategy for Li-ion batteries based on multi-objective optimization
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Min, Haitao, Sun, Weiyi, Li, Xinyong, Guo, Dongni, Yu, Yuanbin, Zhu, Tao and Zhao, Zhongmin (2017) Research on the optimal charging strategy for Li-ion batteries based on multi-objective optimization. Energies, 10 (5). 709. doi:10.3390/en10050709 ISSN 1996-1073.
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WRAP-Research-on-the-optimal-charging-strategy-for-Li-ion-batteries-based-on-multi-objective-optimization-Zhu-2017.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (5Mb) | Preview |
Official URL: http://dx.doi.org/10.3390/en10050709
Abstract
Charging performance affects the commercial application of electric vehicles (EVs) significantly. This paper presents an optimal charging strategy for Li-ion batteries based on the voltage-based multistage constant current (VMCC) charging strategy. In order to satisfy the different charging demands of the EV users for charging time, charged capacity and energy loss, the multi-objective particle swarm optimization (MOPSO) algorithm is employed and the influences of charging stage number, charging cut-off voltage and weight factors of different charging goals are analyzed. Comparison experiments of the proposed charging strategy and the traditional normal and fast charging strategies are carried out. The experimental results demonstrate that the traditional normal and fast charging strategies can only satisfy a small range of EV users’ charging demand well while the proposed charging strategy can satisfy the whole range of the charging demand well. The relative increase in charging performance of the proposed charging strategy can reach more than 80% when compared to the normal and fast charging dependently.
Item Type: | Journal Article | ||||||
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TL Motor vehicles. Aeronautics. Astronautics |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||
Library of Congress Subject Headings (LCSH): | Electric vehicles -- Power supply, Electric vehicles -- Batteries, Structural optimization, Lithium ion batteries, Battery chargers, Battery charging stations (Electric vehicles) | ||||||
Journal or Publication Title: | Energies | ||||||
Publisher: | M.D.P.I.A.G. | ||||||
ISSN: | 1996-1073 | ||||||
Official Date: | 17 May 2017 | ||||||
Dates: |
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Volume: | 10 | ||||||
Number: | 5 | ||||||
Number of Pages: | 15 | ||||||
Article Number: | 709 | ||||||
DOI: | 10.3390/en10050709 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||
Date of first compliant deposit: | 10 October 2022 | ||||||
Date of first compliant Open Access: | 10 October 2022 | ||||||
RIOXX Funder/Project Grant: |
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