dr.ir. T. (Theo) Hofman - Expertise
P.O. Box 513
5600 MB EINDHOVEN
- A32100 - Road vehicles
- D14200 - Mechanical engineering
- D14220 - Engines, energy converters
- Design research methods
Theo Hofman studied Mechanical Engineering (M.Sc. with honors) at the Technische Universiteit Eindhoven in The Netherlands (1994-1999). From 1999 till 2003, he worked at Thales-Cryogenics B.V. as a R&D Engineer and Project Manager on the development of small Stirling and Pulse-Tube cryocoolers for various applications (Defense, Space Industry). From 2003 till 2007; and, from 2007 till 2009, he was a Research Assistant; and, a Post-doctoral Fellow, respectively, with the Control Systems Technology (CST) group and received his Ph.D. degree in 2007. From 2003 till 2007, he worked also at Drivetrain Innovations B.V. as a Research Engineer. Since 2010, he is an Assistant Professor with the CST group in the field of hybrid and electric vehicle propulsion systems. The current research focusses on methods for combined control and system design optimization. Examples of (running) funded research projects:
- predictive gear shifting optimization for passenger cars;
- vehicle system design optimization methods;
- integrated energy management optimization (thermal, mechanical, electrical and emissions);
- control design optimization for constant-speed power take off systems;
- control design optimization of a mechanical flywheel hybrid system;
- control design optimization of CVT technology;
- allocation of control using persuasive technologies aiming at reducing fuel consumption.
Since 2004, he is an International Program Committee member of the IEEE Vehicle, Propulsion and Power Conference (VPPC). Since 2006, he is also an Associate Editor of the Int. J. of Hybrid and Electric Vehicles (IJEHV). In 2006, he received the `Youth Paper Award' for his contribution to the 22nd International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium & Exposition in Japan. In 2011, he received as a co-author the `IEEE VPPC best paper prize' for "Predictive gear shifting for hybrid electric vehicles" in Chicago, USA.
energy management; modeling; simulation; component specification; hybrid and electric drive train design (topology/architecture optimization) and control.