Title :
Energy management strategies for a hybrid electric vehicle
Author :
He, Xiangning ; Parten, M. ; Maxwell, Thomas
Author_Institution :
Adv. Vehicle Eng. Lab., Texas Tech. Univ., Lubbock, TX, USA
Abstract :
In this paper a fuzzy logic, rule based control strategy is proposed for a parallel, hybrid electric vehicle. The energy management optimizes engine operational efficiency while maintaining battery state of charge. Fuzzy logic shifting strategy improves the drivability and performance and avoids undesirable frequent shifting. Simulation has been conducted in a forward-looking model to implement the design. The improvements are presented with simulation results as well as the comparison with those performed using default controller.
Keywords :
cells (electric); energy management systems; engines; fuzzy control; hybrid electric vehicles; battery charge; energy management strategy; engine operational efficiency; forward-looking model; frequent shifting; fuzzy logic control; hybrid electric vehicle; rule based control; Electric motors; Energy management; Fuel economy; Internal combustion engines; Mixed integer linear programming; Optimal control; Predictive models; Vehicle driving; Vehicle dynamics; Wheels;
Conference_Titel :
Vehicle Power and Propulsion, 2005 IEEE Conference
Print_ISBN :
0-7803-9280-9
DOI :
10.1109/VPPC.2005.1554526
