Abstract
A power train of the fuel cell vehicles includes the battery as a secondary power source to improve the vehicle's performance. In this composition, the vehicle's performance depends largely on quality of energy management strategies (EMSs). In this paper, two EMSs are introduced to control the energy in the fuel cell hybrid vehicle (FCHV). These are: fuzzy logic control (FLC) and operating mode control (OMC). Genetic algorithm (GA) is implemented to optimize these strategies by off-line simulation through a combined driving cycle. Comparison of these control methods with other approaches like EMS of advanced vehicle simulator (ADVISOR) software and non-optimized control strategies, demonstrate the superiority of optimized strategies regarding to equivalent energy consumption, energy efficiency, and state-of-charge (SOC) variation.
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 callDisclaimer: 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.
