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

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

Content Provider	Scilit
Author	Sun, Yuantao Wang, Yunlong Zhu, Rongfu Geng, Ruiguang Zhang, Jinzhu Fan, Dehui Wang, Hui
Copyright Year	2018
Description	Journal: Iop Conference Series: Materials Science and Engineering 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.
Related Links	http://iopscience.iop.org/article/10.1088/1757-899X/452/3/032092/pdf
ISSN	17578981
e-ISSN	1757899X
DOI	10.1088/1757-899x/452/3/032092
Journal	Iop Conference Series: Materials Science and Engineering
Issue Number	3
Volume Number	452
Language	English
Publisher	IOP Publishing
Publisher Date	2018-12-13
Access Restriction	Open
Subject Keyword	Journal: Iop Conference Series: Materials Science and Engineering Transportation Science and Technology Control Strategy Regenerative Braking Control
Content Type	Text
Resource Type	Article

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