Optimal Charging Control for Lithium-Ion Battery Packs: A Distributed Average Tracking Approach

被引：111

作者：

Ouyang, Quan ^{[1
]}

Wang, Zhisheng ^{[1
]}

Liu, Kailong ^{[2
]}

Xu, Guotuan ^{[1
]}

Li, Yue ^{[1
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 211100, Peoples R China

[2] Univ Warwick, Warwick Mfg Grp, Coventry CV4 7AL, W Midlands, England

来源：

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS | 2020年 / 16卷 / 05期

基金：

中国国家自然科学基金;

关键词：

State of charge; Lithium-ion batteries; Integrated circuit modeling; Informatics; Energy loss; Computational modeling; Distributed average tracking; leader-followers framework; lithium-ion battery pack; optimal charging control; MANAGEMENT; STATE;

D O I：

10.1109/TII.2019.2951060

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：3430 / 3438

页数：9

共 26 条

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