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Clément Mayet

Associate professor at University of Lille and L2EP, France.
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  • 374570
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Clément MAYET received his Master degree in 2012 and his Ph.D. degree in 2016, both in Electrical Engineering from the University of Lille, France. During his master, he worked with the SNCF (French National Railway Company) on the modelling and control of the hybrid locomotive PLATHEE. During his Ph.D, he worked with Siemens, in a collaboration with the Laboratory of Electrical Engineering and Power Electronic of Lille (L2EP), France, to develop an energetic simulation tool of railway systems. The objective was to evaluate different solutions to optimize the energy consumption of automatic subways. Then, he held a post-doctoral position at the University of Lille and the L2EP within MEGEVH (French network on Energy Management of Hybrid Electric Vehicles) where he studied different transmission systems and their energy management strategies for Medium-Duty Hybrid Electric Trucks. From October 2017 to September 2018, he was senior researcher at the MOBI (Mobility, Logistics and Automotive Technology) research group at the Vrije Universiteit of Brussels (VUB), Belgium, where he was technical manager of two European Projects (ORCA and ASSURED) within the European H2020 Green Vehicles program. From 2018 to 2023, he was Associate Professor at the Conservatoire National des Arts et Métiers (CNAM) de Paris and member of the SATIE Laboratory. Since 2023, he is now Associate Professor at University of Lille and the L2EP, France. In addition, he is Associate Editor for IEEE Vehicular Technology Magazine for Automotive Electronics applications since March 2019 and member of IEEE-VPP TechCom Committee (VPPC Conference) since October 2019. He is also Section Editor on “Control Systems” for the new project of Encyclopedia of Electrical and Electronic Power Engineering with Elsevier since February 2020. He is IEEE Member of the Vehicular Technology Society since January 2020. His research interests include graphical descriptions (Energetic Macroscopic Representation), modelling, control, energy management, and hardware-in-the-loop simulation of Electric and Hybrid Vehicles (EVs and HEVs).

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