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Abstract
Hybrid electric vehicle (HEV) will provide fairly high fuel economy with lower emissions compared to conventional vehicles. The control strategy of HEV is essential to improve efficiency. In this paper, a fuzzy logic controller (FLC) for a parallel hybrid electric bus (PHEB) has been presented. To reduce fuel consumption and emissions, including hydrocarbon, carbon monoxide, nitrogen oxide and particulate matter, a genetic-ant colony algorithm (GACA) is proposed for optimum the FLC of PHEB, which is based on the ability of the quick global searching of genetic algorithm and the mechanism of positive feedback of ant colonies algorithm. The presented FLC of PHEB is implemented and simulated via the advanced vehicle simulator (ADVISOR) and Matlab/Simulink in the Chinese urban driving cycle. Simulation results are demonstrated that the proposed control strategy based on GACA has improved the fuel consumption and reduce emissions in compared with the initial fuzzy control strategy.