This thesis concerns the development of MDO (Multidisciplinary Design Optimization) oriented methodologies applied to the global optimization of hybrid electric aircraft. The aim is to take into account, at the same level, the traditional disciplines of multidisciplinary aircraft design and those related to the design of the electrical propulsion architecture, in order to better account for the strong interactions between these two parts, and thus improve the quality and confidence in the overall design results. An increase in processing complexity due to the combinatorial increase in design variables and constraints, which are moreover of mixed natures (continuous or discrete), is then expected, causing a prohibitive increase in the cost of calculation.
In this context, this thesis will consist in defining the modeling architecture and the MDO process that will realize the coupling between, on the one hand, the power generation/conversion and propulsion models and, on the other hand, the aircraft design models that have evolved until now in MDO architectures and independent optimization strategies.
Lab: ONERA Toulouse and LAPLACE
Desired profile : Engineering/master degre, specialization in mechanical or electrical engineering. Knowledge in thermodynamics, electrical machines, aerodynamics and structure. Skills in object-oriented programming. A first experience in system design or multidisciplinary design is an advantage. Knowledge of LaTeX. Interest in research in aeronautics and hybrid systems.
Contacts (send a CV, cover letter + names and contact of references to all people below):
Xavier Roboam (roboam@laplace.univ-tlse.fr)
Bruno Sareni (sareni@laplace.univ-tlse.fr )
Eric Nguyen Van (eric.nguyen_van@onera.fr)
Sebastien Defoort (sebastien.defoort@onera.fr)
