The Open Fuels & Energy Science Journal

2017, 10 : 23-34
Published online 2017 February 22. DOI: 10.2174/1876973X01710010023
Publisher ID: TOEFJ-10-23

RESEARCH ARTICLE
 A Regenerative Braking Control Strategy for EVs Based on Real-Time Dynamic Loading of the Wheels

Ning Li1, 2, * , Xiaobin Ning1 and Qiucheng Wang1

*Address correspondence to this authors at the Zhijiang College of Zhejiang University of Technology, Shaoxing 312030, China; Tel: +86 15957154636; E-mail: wwwningning@126.com

ABSTRACT

This paper proposes a regenerative braking control strategy based on real-time dynamic loading (RTDL) of wheels. Based on the nonlinear relationship between a spring’s resilience and displacement, this paper establishes 7-degrees of freedom (DOF) full vehicle model with nonlinear suspension. Then, a method based on suspension deformation is devised to calculate the wheels’ dynamic load, and RTDL is used to calculate the braking force of the front and rear wheels. With the braking intensity and the battery state of charge (SOC) as input variables and the desired regenerative braking force as an output variable, we establish a regenerative braking control strategy based on RTDL and simulate it in ADVISOR software. Results show that the designed control strategy effectively improves the regenerative braking energy recovery efficiency by assuring braking stability, and verifies the rationality and feasibility of the proposed control strategy.

Keywords:

Regenerative braking, Nonlinear system, RTDL, Fuzzy-control.