Scalability as a degree of freedom in electric drive train simulation

Abstract

Automotive companies are developing electric vehicles in different ways. There are several system topologies and component configurations used for prototype and mass production. To save time and money during the design process empirical values are necessary. In this paper, scalability is used as a powerful tool of electric drive train simulation. It enables the size variegation of drive train components like the electrical machine, the frequency inverter, and the energy storage. In addition, a novel scheme is derived for the control of rotating field machines in vehicular applications. The control strategy as well as the component configuration is optimized by a well-chosen method using scalability as degree of freedom. Closing, the several influences of component size variation and control parameterization on the drive train behavior is discussed.