Title: A new electric machine model and its relevance for vehicle level diagnosis

Authors: Christofer Sundström; Erik Frisk; Lars Nielsen

Addresses: Department of Electrical Engineering, Linköping University, SE-581 83 Linköping, Sweden ' Department of Electrical Engineering, Linköping University, SE-581 83 Linköping, Sweden ' Department of Electrical Engineering, Linköping University, SE-581 83 Linköping, Sweden

Abstract: With the electrification of society, especially transportation, the control and supervision of electrical machines become more and more important due to its bearing on energy, environment, and safety. To optimise performance in control and supervision, appropriate modelling is crucial, and this regards both the ability to capture reality and the computational complexity to be useful in real-time. Here, a new low complexity model of the electric machine is proposed and developed. The new model treats the machine constants in a different way compared to a previous standard model, which results in a different expression for power losses. It is shown that this increases model expressiveness so when adapted to real data the result is significantly better. The significance of this modelling improvement is demonstrated using a task in vehicle diagnosis where it is shown that the separation between the non-faulty and faulty cases is better and the resulting performance is improved.

Keywords: electric machine models; permanent magnet synchronous machine; PMSM; power losses; hybrid electric vehicles; HEV; hybrid vehicles; fault diagnosis; vehicle diagnosis; modelling.

DOI: 10.1504/IJMIC.2015.071704

International Journal of Modelling, Identification and Control, 2015 Vol.24 No.1, pp.1 - 19

Received: 05 Mar 2014
Accepted: 27 Jan 2015
Published online: 15 Sep 2015 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article