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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Australian Journal of Electrical and Electronics Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
