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).
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.