Use Of Correlation Of Iron Loss And Copper Loss
For Improving The Efficiency Of Three Phase
Squirrel Cage Induction Motors
Author(s)
B. B. Saanane, A. H. Nzali & D. J. Chambega
Abstract
So far computation of iron (core) losses in induction motors cannot be performed
through exact analytical methods but is dependent mainly on empirical formulae
and experience of motor designers and manufacturers. In comparison to copper
losses, which are to a larger extent easier to calculate, iron losses are mostly
associated with some practical parameters, for example the type of material and
manufacturing conditions. This paper proposes a new correlation between these
two losses with the aim of getting minimized total machine loss in order to
improve the efficiency. A total loss prediction model is developed on a matlab
6.5 platform such that the optimal airgap magnetic flux density and airgap length
points are established which offer minimized total loss, min(Pfe + Pcu). These
points are then used to reconfigure a new motor geometry with a minimized total
loss. The new motor design approach was simulated on a 2D-FEM to analyse the
new motor response. Experimental results which agree with the results of the
design show an improvement of motor efficiency. Also, empirical formulae are
developed and validated which can greatly assist motor designers.
Keywords: total loss model, optimization, analysis, design formulae, motor
efficiency.
1 Introduction
Electrical motors in general, and industry’s \“workhorse ” AC induction motors
in particular, represent a great potential and realizable energy savings. Motors
account for approximately 64% of electricity consumption in the US, at a yearly
Keywords
total loss model, optimization, analysis, design formulae, motor
efficiency.
Related Book
Other papers in this volume
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