DocumentCode :
3363810
Title :
Modeling and simulation of traction control of Hybrid Electric Vehicle
Author :
Chenglin, Liao ; Shoubo, Li ; Shanglou, Chen ; Lifang, Wang
Author_Institution :
Inst. of Electr. Eng., Chinese Acad. of Sci., Beijing, China
fYear :
2009
fDate :
9-12 Aug. 2009
Firstpage :
3252
Lastpage :
3256
Abstract :
Slipping drive wheels can provide little lateral force, thus when drive wheels are slipping, the front wheel drive vehicles will lose turning ability, while the rear wheel drive vehicles will spin. Compared to the conventional vehicles, HEVs are more easily to slip when driving on slippery road, since the electric motor can provide large drive torque under low speeds. In this paper, the dynamic modeling of a HEV which consists of engine modeling, ISG modeling and vehicle dynamics is realized and a traction control strategy based on the said modeling is proposed, and effectiveness of the traction control strategy is verified by simulation. The present traction control strategy consists of the PID control to the ISG and the logic gate control to the engine.
Keywords :
engines; force control; hybrid electric vehicles; road vehicles; three-term control; torque control; traction motors; vehicle dynamics; wheels; ISG modeling; PID control; drive torque; dynamic modeling; electric motor; engine modeling; hybrid electric vehicle; lateral force; logic gate control; rear wheel drive vehicle; slippery road; slipping; traction control; turning ability; vehicle dynamics; Electric motors; Engines; Hybrid electric vehicles; Road vehicles; Three-term control; Torque; Turning; Vehicle driving; Vehicle dynamics; Wheels; Anti-skid; Anti-slip; Hybrid Electric Vehicle(HEV); Traction Control System(TCS);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation, 2009. ICMA 2009. International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-2692-8
Electronic_ISBN :
978-1-4244-2693-5
Type :
conf
DOI :
10.1109/ICMA.2009.5246236
Filename :
5246236
Link To Document :
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