Invited Speaker 1

Dr. Masoud Dahmardeh

Iran University of Science & Technology, Iran

Biography: Dr. Masoud Dahmardeh is Faculty Member, Assistant Professor and the Head of Automotive Electrical and Electronics Systems Division at The School of Automotive Engineering, Iran University of Science and Technology, The Islamic Republic of Iran. Dr. Dahmardeh received B.Sc. and M.Sc. degrees from Amir Kabir University of Technology, Tehran, Iran, in Electrical Engineering, in 2006 and 2009, respectively. In 2009, he joined The University of British Columbia (UBC), Vancouver, Canada, to pursuit his higher education. He received his PhD in 2014 with major in Micro-electro-mechanical systems (MEMS). Currently, he is conducting research on automotive electronics, hybrid and electric vehicles, energy storage, sensors and actuators, microfabrication, micro-electro-mechanical systems.

Topic: "Control of electric vehicle hybrid energy storage systems considering aging and temperature effects"

Abstract: Batteries are considered as the most important component of an electric vehicle in terms of their costs and weight and the assurance of their longevity. Batteries which are vulnerable to high currents inferred from high power demands of electric vehicles, number of charge-discharge cycles, depth of discharge and temperature, are coupled with another component called ultracapacitor (UC) to form a hybrid energy management system (HESS) which overcome the mentioned limitations. Various energy management strategies are investigated in order to optimize the system to achieve the best battery life and state of heath. These techniques are categorized into offline and online methods. In this study, an electric bike employing HESS is presented and four different energy management systems are investigated and compared for their efficiencies in improving battery life and the bike range. A fuzzy control algorithm based on UC state of charge and power demand is proposed. Genetic algorithm is employed to optimize the proposed algorithm parameters. The results show the effectiveness of the proposed method.