Title :
Regenerative braking for electric vehicle based on fuzzy logic control strategy
Author :
Zhang, Zijian ; Xu, Guoqing ; Li, Weimin ; Zheng, Liang
Abstract :
In order to recycle more energy in the process of regenerative braking, we design a regenerative braking force calculation controller based on fuzzy logic. The sugeno´s interface fuzzy logic controller has three-inputs including the driver´s brake requirements, vehicle speed and batteries´ SOC and one-output which is the regenerative braking force. To ensure charging safety, the influence of batteries´ temperature is also taken into consideration. Besides, we modify the original braking force distribution regulations in the simulation software-ADVISOR. The simulation results verify that the method can not only recycle more energy from braking but also ensure the safety of braking and the batteries.
Keywords :
battery powered vehicles; force control; fuzzy control; regenerative braking; ADVISOR simulation software; battery SOC; battery temperature; charging safety; driver brake requirements; electric vehicle; regenerative braking force calculation controller; sugeno interface fuzzy logic controller; vehicle speed; Hybrid electric vehicles; System-on-a-chip; ADVISOR; braking force distribution; fuzzy logic control; regenerative braking;
Conference_Titel :
Mechanical and Electronics Engineering (ICMEE), 2010 2nd International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4244-7479-0
Electronic_ISBN :
978-1-4244-7481-3
DOI :
10.1109/ICMEE.2010.5558540