A High-Efficiency Bidirectional Active Balance for Electric Vehicle Battery Packs Based on Model Predictive Control

Shixin Song, Feng Xiao, Silun Peng, Chuanxue Song and Yulong Shao
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Shixin Song: School of Mechanical Science and Engineering, Jilin University, Changchun 130022, China
Feng Xiao: State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China
Silun Peng: State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China
Chuanxue Song: State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China
Yulong Shao: Zhengzhou Yutong Bus Co., Ltd., Zhengzhou 450016, China

Energies, 2018, vol. 11, issue 11, 1-24

Abstract: This study designs an active equilibrium control strategy based on model predictive control (MPC) for series battery packs. To shorten equalisation time and reduce unnecessary energy consumption, bidirectional active equalisation is modelled and analysed, and the model predictive control algorithm is then applied to the established state space equation. The optimisation problem that minimises the equilibrium time is transformed to a linear programming form in each cycle. By solving the linear programming problem online, a group of control optimal solutions is found and the series equalisation problem is decoupled. The equalisation time is shortened by dynamically adjusting the equalisation current. Simulation results show that the MPC algorithm can avoid unnecessary energy transfer and shorten equalisation time. The bench experimental result shows that the equilibrium time is reduced by 31%, verifying the rationality of the MPC strategy.

Keywords: electric vehicle; battery packs; active balance; model predictive control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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