Comparison of Direct Multiobjective Optimization Methods for the Design of Electric Vehicles

Xavier Roboam (1) , Jérémi Regnier (1) , Bruno Sareni (1) , Yan Fefermann (1)

1 LEEI - Laboratoire électrotechnique et électronique industrielle

"System design oriented methodologies" are discussed in this paper through the comparison of multiobjective optimization methods applied to heterogeneous devices in electrical engineering. Avoiding criteria function derivatives, direct optimization algorithms are used. In particular, deterministic geometric methods such as the Hooke & Jeeves heuristic approach are compared with stochastic evolutionary algorithms (Pareto genetic algorithms). Different issues relative to convergence rapidity and robustness on mixed (continuous/discrete), constrained and multiobjective problems are discussed. A typical electrical engineering heterogeneous and multidisciplinary system is considered as a case study: the motor drive of an electric vehicle. Some results emphasize the capacity of each approach to facilitate system analysis and particularly to display couplings between optimization parameters, constraints, objectives and the driving mission.

Mots clés: Heterogeneous systems; Design; Optimization; Evolutionary algorithms; Hooke & Jeeves; Electric vehicle

Domaines: Optimisation et contrôle [math.OC]; Energie électrique

Xavier Roboam, Jérémi Regnier, Bruno Sareni, Yan Fefermann. Comparison of Direct Multiobjective Optimization Methods for the Design of Electric Vehicles. EPE Journal - European Power Electronics and Drives, 2006, vol. 16 (n° 3), pp. 1-18. ⟨hal-01179106⟩