The background of this Master Thesis Project is the PhD thesis research project “ENVIES” between PSA Peugeot Citroën and the Industrial Process and Energy Systems Engineering Laboratory (IPESE) of the Ecole Polytechnique Fédérale de Lausanne (EPFL). The vehicle data, models and technological options are collected at PSA R&D Division and represent commercial vehicles. The automotive sector data are delivered by PSA.
The IPESE laboratory at EPFL contributes to the transfer of technologies and methodologies from other industrial domains (power generation, chemical and process engineering). The optimization methodology comes from IPESE Laboratory.
The goal of the Master Thesis is to contribute to the optimization methodology, and to its evolution to a methodology supporting the decisions during the design process.
The decreasing of the energy consumption and the CO2 emissions are key issues for the automotive industry. The design of efficient energy vehicle systems will be explored, combining different energy conversions systems. At the same time, an optimization of the investments and the environmental impact, during the life cycle of the vehicle, will be done.
Aim of the project:
The goal of the project is to research the optimal energy systems for hybrid electric and hybrid pneumatic hybrid vehicles. The design criteria are technical, economic and environmental. The goal of the project is to improve the Energy Integration model implemented in OSMOSE (Energy Technologies) for the electric vehicle and the hybrid electric vehicle model and to consider it in the future optimizations.
Apply the energy integration model (for electric and hybrid electric vehicle) on multi-periods and asses the fuel saving potential with the quasi-static models:
a. Built a cost model for the utility system: heat exchangers and turbo machines.
b. Integrate a Heat Pump for the comfort service
c. Build the LCA model of the utility system
d. Build the LCA model for the hybrid electric and hybrid pneumatic powertrain
2. Perform thermo/economic optimization (MOO) with minimal environmental impact on hybrid electric and hybrid pneumatic vehicles.
a. Perform a critical analyses on the hypothesis
b. Interpretation of the results
c. Specify optimal designs
d. Analyze the quality of the population of solutions proposed by the optimizer on the Pareto curve.
e) Propose an environomic design for energy integrated vehicle system for hybrid vehicles
Energy, hybrid vehicles, energy integration, cost, life cycle analysis, multi-objective optimization