An Optimal Slip Ratio-Based Revised Regenerative Braking Control Strategy of Range-Extended Electric Vehicle

Hanwu Liu, Yulong Lei, Yao Fu and Xingzhong Li
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Hanwu Liu: State Key Laboratory of Automotive Simulation and Control, School of Automotive Engineering, Jilin University, Changchun 130022, China
Yulong Lei: State Key Laboratory of Automotive Simulation and Control, School of Automotive Engineering, Jilin University, Changchun 130022, China
Yao Fu: State Key Laboratory of Automotive Simulation and Control, School of Automotive Engineering, Jilin University, Changchun 130022, China
Xingzhong Li: State Key Laboratory of Automotive Simulation and Control, School of Automotive Engineering, Jilin University, Changchun 130022, China

Energies, 2020, vol. 13, issue 6, 1-21

Abstract: The energy recovered with regenerative braking system can greatly improve energy efficiency of range-extended electric vehicle (R-EEV). Nevertheless, maximizing braking energy recovery while maintaining braking performance remains a challenging issue, and it is also difficult to reduce the adverse effects of regenerative current on battery capacity loss rate (Q loss,% ) to extend its service life. To solve this problem, a revised regenerative braking control strategy (RRBCS) with the rate and shape of regenerative braking current considerations is proposed. Firstly, the initial regenerative braking control strategy (IRBCS) is researched in this paper. Then, the battery capacity loss model is established by using battery capacity test results. Eventually, RRBCS is obtained based on IRBCS to optimize and modify the allocation logic of braking work-point. The simulation results show that compared with IRBCS, the regenerative braking energy is slightly reduced by 16.6% and Q loss,% is reduced by 79.2%. It means that the RRBCS can reduce Q loss,% at the expense of small braking energy recovery loss. As expected, RRBCS has a positive effect on prolonging the battery service life while ensuring braking safety while maximizing recovery energy. This result can be used to develop regenerative braking control system to improve comprehensive performance levels.

Keywords: range-extended electric vehicle; regenerative braking; optimal slip ratio control; battery capacity loss model; regenerative braking controller; control strategy optimization (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: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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