Joint Optimization of Control and Sizing of the Parallel HEV using SQP Algorithm

In electromagnetic research, the optimization of electrical machine is a very common issue. The improvement of computational capabilities allows researchers to improve models and complexity of the optimization problem. In transportation applications, electrical machines are subjected to a large panel of operating points. Moreover, for hybrid vehicles, the sizing problem involves a control problem as a sub-optimization problem (power sharing between electric and thermal transmission). Therefore, a joint optimization of the energy management and sizing of the EM over a driving cycle shall be considered. The paper presents the modelling of the electrical machine based on magnetic circuit equivalence.