automobile-2016_posters-accepted-abstracts

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Volume 5, Issue 2(Suppl) Adv Automob Eng 2016
ISSN: 2167-7670, AAE an open access journal
Page 55
Notes:
Automobile 2016
December 01-02, 2016
conferenceseries.com
Automobile Engineering
December 01-02, 2016 Valencia, Spain
2nd International Conference and Exhibition on
Adaptive energy management strategy for a hybrid vehicle using energetic macroscopic representation
Hussein Basma
Lebanese American University, France
The energetic macroscopic representation is used in this paper to model a pre-transmission parallel hybrid electric vehicle and
its control and energy management system. Since optimizing energy management onboard is among the key factors in reducing
consumption of hybrid vehicles, several strategies are developed in the literature such as instantaneous-optimization rule-based
strategies and global-optimization strategies; however, being implemented separately and for different purposes. For instance, rule-
based strategies serve for real-time operation, where the global-optimization strategies for benchmarking, as it lacks the ability to be
used in real-time control. Hence, the combination of both strategies would result in close-to-optimal energy consumption through
a real-time control system. Therefore, a simple adaptive rule-based strategy is presented in this study, based on short-term driving
pattern recognition and the global optimization routine of dynamic programming.
Biography
Hussein Basma has completed his Bachelor’s degree in Mechanical Engineering in May 2016. He is enrolled now in the Power Train Graduate Program at IFP School in
France. He has been working as an Assistant Researcher at Lebanese American University in Hybrid Vehicles Topics.
Hussein Basma, Adv Automob Eng 2016, 5:2(Suppl)