Emilia Silvas

Junior Scientist Innovator @ TNO (Netherlands Organization for Applied Scientific Research)
Visiting Reseacher @ Control Systems Technology Group, Eindhoven University of Technology
Email: emilia.silvas@tno.nl | e.silvas@tue.nl | Tel: +31 40 247 3174


The Hybrid Innovations for Trucks (HIT) is an ongoing multi-disciplinary project with the objectives of CO2 emission reduction and fuel saving for long-haul vehicles. Due to the emission legislations (e.g. Euro VI) automotive companies are required to develop new technologies to decrease the hazardous emissions. According to the Euro VI norm commercial trucks and buses, as of January 2013, are required to reduce emissions of nitrogen oxides. Environment friendliness as well as stringent requirements on fuel economy necessitate automotive companies to develop new technologies. TU/e PhD researchers Vital van Reeven and Thinh Pham are working on the development of integrated powertrain control software to achieve above mentioned goals. In the Model Driven Software Engineering Group at TU/e, Yanja Dajsuren, focuses on identifying appropriate ways of developing automotive software, in general, and energy management systems, in particular.

Duration: The project has started in October 2010 and it is going to end in 2014.
Funding: This research project is financially supported by the Dutch automotive research program HTAS (High Tech Automotive Systems).

Integrated Topology, Sizing and Control Design For Hybrid Electric Vehicles

The optimal design of a hybrid electric vehicle is a complex multi-objective optimization problem that spreads out on multiple levels (technology, topology, size and control). In the last decade, studies have shown that, by integrating these optimization levels, fuel benefits are obtained, which go beyond the results achieved with solely optimal control. Due to the large number of variables for optimization, their diversity, the nonlinear and multi-objective nature of the problem, various methodologies have been developed, yet none has proven to be widely accepted. In this study, we investigate the potential of hybridization for heavy duty transport sector, looking at serveral sub-topics (see figure below):
  • The problem of automatic topology generation. For this, we proposed a framework based on functionality and costs, in [Journal 1] , that translates the topology generation problem into a constraint satisfaction problem.
  • Optimal Sizing and Control for HEV propulsion (see [Conf. 3] ).
  • Optimal Sizing and Control for Auxiliary Units (see [Conf. 1,2 and 4] ).
  • Driving Cycle Synthesis for HEV Design.