Loss Minimization of an Electrical Vehicle Machine Considering its Control and Iron Losses - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2015

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.
Fichier non déposé

Dates et versions

hal-01203160 , version 1 (22-09-2015)

Identifiants

  • HAL Id : hal-01203160 , version 1

Citer

Anthony Frias, Afef Kedous-Lebouc, Christian Chillet, Laurent Albert, Lionel Calegari, et al.. Loss Minimization of an Electrical Vehicle Machine Considering its Control and Iron Losses. Soft Magnetic Materials SMM22, Sep 2015, Sao Paulo, Brazil. ⟨hal-01203160⟩
59 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More