In a few words

Antonio Sciarretta received a Doctorate degree in thermal machines with a dissertation on engine modeling and control in 1999, and since then he has always worked at the intersection of these fields. He now holds one French and two Italian professorial habilitations both in Energy systems and in Control engineering.

After several teaching and research experiences in Italy and at ETH Zurich, he joined IFPEN in 2006.  He has been IFPEN Expert for Hybrid vehicles and energy management (2009-2017) as well as titular of the Tuck foundation Chairs on the same subject (2009-2016) and on Electric, connected, and autonomous vehicles for smart mobility (2019-present) at the IFP School. At the same time, he has been R&I project manager in Electrified vehicle controls (2009-2013) and Intelligent mobility controls (2017-present). He also represents IFPEN in various European associations and platforms.

Author of around 100 scientific publications and 8 patent families, he also co-authored the Springer books “Vehicle Propulsion Systems” (3 editions) and “Energy-Efficienct Driving of Road Vehicles”. He contributes to his scientific and professional communities as a journal associate editor, conference organizer, and project evaluator.

Research subjects
Energy-optimal driver assistance and vehicle drive control subject to safety constraints
Eco-routing and eco-charging: minimal-energy route navigation
Optimal energy management (power split control) of hybrid powertrains

Sciarretta A, Vahidi A (2019), Energy-Efficient Driving of Road Vehicles Toward Cooperative, Connected, and Automated Mobility, Springer int. Publishing, ISBN: 978-3-030-24126-1 (Printed), 978-3-030-24127-8 (online), DOI: 10.1007/978-3-030-24127-8.

Vahidi A, Sciarretta A (2018), Energy Saving Potentials of Connected and Automated Vehicles, Transportation Research Part C, vol. 85, p. 822-843, DOI: 10.1016/j.trc.2018.09.001.

Han J, Vahidi A, Sciarretta A (2019), Fundamentals of energy efficient driving for combustion engine and electric vehicles: An optimal control perspective, Automatica, vol. 103, p. 558-572, DOI: 10.1016/j.automatica.2019.02.31.