Optimal Multiobjective Charging for Lithium-Ion Battery Packs: A Hierarchical Control Approach

被引：56

作者：

Ouyang, Quan ^{[1
]}

Chen, Jian ^{[1
]}

Zheng, Jian ^{[1
]}

Fang, Huazhen ^{[2
]}

机构：

[1] Zhejiang Univ, Coll Control Sci & Engn, State Key Lab Ind Control Technol, Hangzhou 310027, Zhejiang, Peoples R China

[2] Univ Kansas, Dept Mech Engn, Lawrence, KS 66045 USA

来源：

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS | 2018年 / 14卷 / 09期

基金：

中国国家自然科学基金;

关键词：

Hierarchical control; lithium-ion battery; multimodule charger; optimal multiobjective charging; PREDICTIVE CONTROL; TEMPERATURE RISE; OPTIMIZATION; MANAGEMENT; STATE; MODEL; TIME; OBSERVER; PROTOCOL; VEHICLE;

D O I：

10.1109/TII.2018.2825245

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Successful operation of a battery pack necessitates an effective charging management. This study presents a systematic investigation that blends control design with control implementation for battery charging. First, it develops a multimodule charger for a serially connected battery pack, which allows each cell to be charged independently by a modified isolated buck converter. Then, it presents the development of a two-layer hierarchical charging control approach to be run on this charger. The top-layer control schedules the optimal charging currents through a multiobjective optimization that takes into account user demand, cell equalization, temperature, and operating constraints. The bottom-layer control is developed using the passivity theory to ensure that the charger can well track the scheduled charging current, and its stability is proven using the Lyapunov stability theory. Extensive simulation and experiments are provided to thoroughly validate the proposed charger and the hierarchical charging control approach.

引用

页码：4243 / 4253

页数：11

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