A Dual Distribution Control Method for Multi-Power Components Energy Output of 4WD Electric Vehicles

Zhiqi Guo; Liang Chu; Zhuoran Hou; Yinhang Wang; Jincheng Hu; Wen Sun

doi:10.3390/s22249597

A Dual Distribution Control Method for Multi-Power Components Energy Output of 4WD Electric Vehicles

Sensors (Basel). 2022 Dec 7;22(24):9597. doi: 10.3390/s22249597.

Authors

Zhiqi Guo¹, Liang Chu¹, Zhuoran Hou¹, Yinhang Wang¹, Jincheng Hu², Wen Sun³

Affiliations

¹ State Key Laboratory of Automotive Simulation and Control, Jilin University, No. 5988, Renmin Street, Nanguan District, Changchun 130022, China.
² Department of Aeronautical and Automotive Engineering, Loughborough University, Leicestershire LE11 3TU, UK.
³ Changzhou Institute of Technology, College of Automotive Engineering, Changzhou 213028, China.

Abstract

Energy management strategies are vitally important to give full play to the energy-saving of the four-wheel drive electric vehicle (4WD EV). The cooperative output of multi-power components is involved in the process of driving and braking energy recovery of 4WD EV. This paper proposes a novel energy management strategy of dual equivalent consumption minimization strategy (D-ECMS) to improve the economy of the vehicle. According to the different driving and braking states of the vehicle, D-ECMS can realize the proportional control of the energy cooperative output among the multi-power components. Under the premise of satisfying the dynamic performance of the vehicle, the operating points of the power components are distributed more in the high-efficiency range, and the economy and driving range of the vehicle are optimized. In order to achieve the effectiveness of D-ECMS, MATLAB/Simulink is used to realize the simulation of the vehicle. Compared with the rule-based strategy, the economy of D-ECMS increased by 4.35%.

Keywords: braking energy recovery system; electric vehicle (EV); equivalent consumption minimization strategy (ECMS); four-wheel drive (4WD).

Grants and funding

This research was funded by the State Scholarship Funding of CSC (202008320074), the Industry-University-Research Cooperation Project of Jiangsu Province (BY2021268), the Science and Technology Project of Changzhou (CZ20210033), and the Natural Science Foundation of the Jiangsu Higher Education Institutions of China (22KJB580001).