Theo Hofman is an Assistant Professor at the Mechanical Engineering Department at Eindhoven University of Technology (TU/e). His research interests are developing integrated-design model-based methods that produce system-optimal designs for complex dynamic engineering systems (energy-efficient propulsion systems and automotive / vehicular powertrain systems from system to component level). This research incorporates several related fields: automated-discrete-topology design synthesis: computational design synthesis (CDS) formulated as a constraint satisfaction problem (CSP), integrated-energy-management strategies: optimal control, coordination architectures: (bi-)unidirectional coupling functions and hybrid-optimization algorithms: (non-)gradient based methods.
Theo Hofman received his MSc (with honors) in 1999 and his PhD in 2007 both in Mechanical Engineering from TU/e. From 1999 to 2003, he was a researcher/project manager with the R&D Department of Thales–Cryogenics B.V. (Space, Defense), Eindhoven. From 2003 to 2007, he was a researcher/project manager at Drivetrain Innovations B.V. (currently, Punch Powertrain N.V., 2013+), Eindhoven. From 2007 to 2009, he was post-doctoral fellow with the Control Systems Technology group. In addition, he is a Senior Contact at the Modélisation Énergétique et Gestion d’Énergie des Véhicules Hybrides et électriques (MEGEVH) group, a French network on Hybrid Electric Vehicles. Theo has worked as Invited Professor at the University of Valenciennes and Hainaut-Cambresis, International Program Committee member of the IEEE Vehicle, Propulsion and Power Conference (2004-2006, 2014), Technical Program Committee member and Special session co-chair of IEEE VPPC11/VPPC14, co-chair IEEE Best Paper Award VPPC14/VPPC15, guest Editor IEEE Transactions on Vehicular Technology (2015) and is an associate editor of the International Journal of Hybrid and Electric Vehicles (from 2006).
Predictive energy management strategy including traffic flow data for hybrid electric vehiclesIFAC-PapersOnLine (2017)
Hybrid vehicle energy management: singular optimal controlIEEE Transactions on Vehicular Technology (2017)
Effects of using synthesized Driving Cycles on vehicle fuel consumptionIFAC-PapersOnLine (2017)
Synthesis of realistic driving cycles with high accuracy and computational speed, including slope informationIEEE Transactions on Vehicular Technology (2016)
Functional and cost-based automatic generator for hybrid vehicles topologiesIEEE/ASME Transactions on Mechatronics (2015)
- Preparation phase graduation project
- Bachelor final project DSD - Control Systems Technology
- Introduction vehicle dynamics and powertrains
- Vehicle powertrain system design
- Spectrum of Automotive
- Graduation project Control Systems Technology (international)
No ancillary activities