Title :
Fuzzy logic control for parallel hybrid vehicles
Author :
Schouten, Niels J. ; Salman, Mutasim A. ; Kheir, Naim A.
Author_Institution :
Dept. of Electr. & Syst. Eng., Oakland Univ., Rochester, MI, USA
fDate :
5/1/2002 12:00:00 AM
Abstract :
In this paper, a fuzzy logic controller is developed for hybrid vehicles with parallel configuration. Using the driver command, the state of charge of the energy storage, and the motor/generator speed, a set of rules have been developed, in a fuzzy controller, to effectively determine the split between the two powerplants: electric motor and internal combustion engine. The underlying theme of the fuzzy rules is to optimize the operational efficiency of all components, considered as one system. Simulation results were used to assess the performance of the controller. A forward-looking hybrid vehicle model was used for implementation and simulation of the controller. Potential fuel economy improvement is shown by using fuzzy logic, relative to other controllers, which maximize only the efficiency of the engine
Keywords :
electric motors; fuel optimal control; fuzzy control; internal combustion engines; optimisation; road vehicles; electric motor; energy storage; fuel economy; fuzzy control; fuzzy rules; hybrid vehicles; internal combustion engine; optimization; road vehicles; Electric motors; Energy storage; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Internal combustion engines; Power generation; Power system modeling; Vehicles;
Journal_Title :
Control Systems Technology, IEEE Transactions on