Simulation Research on Regenerative Braking Control Strategy of Hybrid Electric Vehicle

Cong Geng, Dawen Ning, Linfu Guo, Qicheng Xue and Shujian Mei
Additional contact information
Cong Geng: Beijing Key Laboratory of Powertrain Technology for New Energy Vehicles, Beijing Jiaotong University, Beijing 100044, China
Dawen Ning: Beijing Key Laboratory of Powertrain Technology for New Energy Vehicles, Beijing Jiaotong University, Beijing 100044, China
Linfu Guo: Beijing Key Laboratory of Powertrain Technology for New Energy Vehicles, Beijing Jiaotong University, Beijing 100044, China
Qicheng Xue: Beijing Key Laboratory of Powertrain Technology for New Energy Vehicles, Beijing Jiaotong University, Beijing 100044, China
Shujian Mei: Beijing Key Laboratory of Powertrain Technology for New Energy Vehicles, Beijing Jiaotong University, Beijing 100044, China

Energies, 2021, vol. 14, issue 8, 1-19

Abstract: This paper proposes a double layered multi parameters braking energy recovery control strategy for Hybrid Electric Vehicle, which can combine the mechanical brake system with the motor brake system in the braking process to achieve higher energy utilization efficiency and at the same time ensure that the vehicle has sufficient braking performance and safety performance. The first layer of the control strategy proposed in this paper aims to improve the braking force distribution coefficient of the front axle. On the basis of following the principle of braking force distribution, the braking force of the front axle and the rear axle is reasonably distributed according to the braking strength. The second layer is to obtain the proportional coefficient of regenerative braking, considering the influence of vehicle speed, braking strength, and power battery state of charge ( SOC ) on the front axle mechanical braking force and motor braking force distribution, and a three-input single-output fuzzy controller is designed to realize the coordinated control of mechanical braking force and motor braking force of the front axle. Finally, the AMESim and Matlab/Simulink co-simulation model was built; the braking energy recovery control strategy proposed in this paper was simulated and analyzed based on standard cycle conditions (the NEDC and WLTC), and the simulation results were compared with regenerative braking control strategies A and B. The research results show that the braking energy recovery rate of the proposed control strategy is respectively 2.42%, 18.08% and 2.56%, 16.91% higher than that of the control strategies A and B, which significantly improves the energy recovery efficiency of the vehicle.

Keywords: hybrid electric vehicle; energy recovery; braking strength; control strategy (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: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/8/2202/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/8/2202/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:8:p:2202-:d:536600

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().