Optimization of the Range Extender Mounting System for Electric Vehicle

Abstract

In this chapter, the mounting system of a range extended electric vehicle is studied. The energy decoupling method and the stiffness matrix method is applied. The optimization calculation of the range extender mounting system is carried out in MATLAB and ADAMS, and the results show that there is good consistency between them. Energy decoupling method is well known to decouple the engine mounting system. The energy distribution of dominant vibration is selected as the objective function under stiffness and natural frequency constraints. The traditional optimal algorithms such as sequential quadratic programming and genetic algorithms are adopted in the energy decoupling optimization for the range extender mounting system. Both optimal coordinates of installation location and best stiffness values are achieved through genetic algorithm method and sequential quadratic programming method. Consequently, the result calculated by genetic algorithm is considered as the final result of energy decoupling method, because genetic algorithm is a global optimum algorithm but sequential quadratic programming is not. The optimum results show that the energy decoupling of genetic algorithms and stiffness matrix method are reliable and accurate. However, the energy decoupling method based on genetic algorithm will be better. A reliable basis is provided for the further optimization design of engine mounting system.