2018•IOP Conference Series Materials Science and EngineeringOpen access

Study on the Control Strategy of Regenerative Braking for the Hybrid Electric Vehicle under Typical Braking Condition

Yuantao Sun, Yunlong Wang, Rongfu Zhu, Ruiguang Geng, Jinzhu Zhang, Dehui Fan, Hui Wang

Abstract

In this paper, a parallel regenerative braking control strategy and fuzzy PID control algorithm for series-parallel hybrid electric vehicles are developed based on the analysis of the existing regenerative braking control strategy and control algorithm, indicating a reasonable and effective regenerative braking control strategy for series-parallel hybrid vehicles. The simulation model of regenerative braking control system is established by MATLAB/Simulink software, and the parametric model of each component of regenerative braking system is established by AVL CRUISE software. The joint simulation under the typical braking condition of 30, 60 and 90km/h under the moderate braking intensity (z = 0.3) is conducted. The results show that the braking energy recovery rate is the largest (reaching 24%) and the energy recovery effect is obvious in the initial speed of braking of 60km/h.

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Key concepts: Regenerative brake, Dynamic braking, Engine braking, MATLAB, Automotive engineering, Energy recovery, Control theory (sociology), Braking chopper