Title :
The Application of Fuzzy Logic in Regenerative Braking of EV
Author :
Zhang, Zijian ; Xu, Guoqing ; Li, Weimin ; Zheng, Liang
Author_Institution :
Shenzhen Institutes of Adv. Technol., Chinese Acad. of Sci., Shenzhen, China
Abstract :
Regenerative braking can improve energy usage efficiency and prolong the driving distance of electric vehicle per charge, effectively. In the paper, we design a sugeno´s fuzzy logic controller which has four inputs including driver´s braking requirements, vehicle speed, batteries´ SOC, batteries´ temperature and one output which is the regenerative braking force. We do some improvement on the force distribution regulation of the original model of VEH_SMCAR in ADVISOR. The simulation results show that the vehicle can follows the driving cycle well and batteries´ SOC, batteries´ current and motor´s torque can be improved. The results prove that, under the condition of ensuring braking quality, the fuzzy control logic and the force distribution regulation we design can decrease the consumption of electrical quantity in a driving cycle of CYC_NYCC, improve energy usage efficiency and prolong the driving distance of EV per charge.
Keywords :
battery powered vehicles; force control; fuzzy control; regenerative braking; ADVISOR; CYC_NYCC; EV; Sugeno fuzzy logic controller; VEH_SMCAR; batteries SOC; batteries temperature; batteries´ temperature; driver braking requirements; electric vehicles; energy usage efficiency; regenerative braking; vehicle speed; Batteries; Driver circuits; Force; Fuzzy logic; Safety; System-on-a-chip; Vehicles; ADVISOR; braking force distribution; fuzzy logic control; regenerative braking;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2010 2nd International Conference on
Conference_Location :
Nanjing, Jiangsu
Print_ISBN :
978-1-4244-7869-9
DOI :
10.1109/IHMSC.2010.130