Energy Optimization of a hybrid car engine
septembre 30, 2009
Presentation:The project aims at developing mathematical tools to model and simulate scenarios allowing to improve the performances of electric car engines. Let us recall that the hard point of the electric technology lies on the restricted kilometric autonomy related to a weak density energy of the battery and a weak speed of its refill in energy (8 hours for the slow load). The goal of this project consists in:
- Maximizing the absolute autonomy (hybrid technology)
- Minimizing the autonomy variability: Optimal management of the energy by taking into account the available informations of navigation
- Theoretical and numerical study of related stochastic optimization problems
- Validation on the model associated with the problem of hybrid car engine
Host institution:Commands Team (INRIA-Saclay, CMAP, ENSTA) in collaboration with Renault (Technocentre Guillancourt).
Applied Mathematics Department (UMA) at ENSTA-Paris and Center of Applied Mathematics (CMAP) at Ecole Polytechnique offer two excellent environments in fundamental and applied research.