Loss Minimization of an Electrical Vehicle Machine Considering its Control and Iron Losses
Résumé
In this paper, an optimization of the control of an electrical machine allowing a minimization of its total losses is described. It
is based on the use of an iron loss model (LS model) coupled to electromagnetic finite element simulations of the machine. The
LS (Loss Surface) model is a scalar and dynamic hysteresis model developed many years ago at G2Elab and tested for iron loss
prediction in several cases of electric machines. It is first characterized and improved in this study for M330-35A SiFe sheets. Then
it is associated to a finite element analysis to compute, in a post processor mode, the local and the global magnetic loss in the
machine. For electric vehicle application, the whole torque-speed variation should be investigated. To do that, a quick response
surface is constructed from a small number of simulations and the iron loss determination. Then a suitable optimization algorithm
is developed. This approach is then illustrated by a case study and compared to a classical optimization in which only the copper
losses in conductors are considered. Gains of up to 50% reduction of the total losses of the machine in certain operating areas are
observed.