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Optimal charging control for lithium-ion battery packs : a distributed average tracking approach
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Ouyang, Quan, Wang, Zhisheng, Liu, Kailong, Xu, Guotuan and Li, Yue (2020) Optimal charging control for lithium-ion battery packs : a distributed average tracking approach. IEEE Transactions on Industrial Informatics, 16 (5). pp. 3430-3438. doi:10.1109/TII.2019.2951060 ISSN 1551-3203.
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Official URL: https://doi.org/10.1109/TII.2019.2951060
Abstract
Effective lithium-ion battery pack charging is of extreme importance for accelerating electric vehicle development. This article derives an optimal charging control strategy with a leader-followers framework for battery packs. Specifically, an optimal average state-of-charge (SOC) trajectory based on cells' nominal model is first generated through a multiobjective optimization with consideration of both user demand and battery pack's energy loss. Then, a distributed charging strategy is proposed to make the cells' SOCs follow the prescheduled trajectory, which can effectively suppress the violation of the safety-related charging constraints through online battery model bias compensation. This article highlights the superiorities of the proposed leader-followers-based charging framework that combines the offline scheduling and online closed-loop regulation for battery pack charging, which brings benefits to significantly reduce the computational burden for the charger controller as well as improve the robustness to suppress the negative impact caused by the cell's model bias. Extensive illustrative results demonstrate the effectiveness of the proposed optimal charging control strategy.
Item Type: | Journal Article | ||||||||
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||
Journal or Publication Title: | IEEE Transactions on Industrial Informatics | ||||||||
Publisher: | IEEE | ||||||||
ISSN: | 1551-3203 | ||||||||
Official Date: | May 2020 | ||||||||
Dates: |
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Volume: | 16 | ||||||||
Number: | 5 | ||||||||
Page Range: | pp. 3430-3438 | ||||||||
DOI: | 10.1109/TII.2019.2951060 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access |
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