2003
DOI: 10.1109/tmag.2003.810358
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A temperature rise analysis of switched reluctance motor due to the core and copper loss by FEM

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Cited by 59 publications
(22 citation statements)
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“…To model the thermal behavior of SRMs, lumped parameter thermal networks (LPTNs) [57] or computational fluid dynamics (CFDs) and FEAs [58] are used. Space-resolved lumped parameter thermal networks have been proposed to predict the hot-spot temperature as well as the temperature at any userspecified spot within the machine [59]- [62].…”
Section: B Thermal Behaviormentioning
confidence: 99%
“…To model the thermal behavior of SRMs, lumped parameter thermal networks (LPTNs) [57] or computational fluid dynamics (CFDs) and FEAs [58] are used. Space-resolved lumped parameter thermal networks have been proposed to predict the hot-spot temperature as well as the temperature at any userspecified spot within the machine [59]- [62].…”
Section: B Thermal Behaviormentioning
confidence: 99%
“…The eddy current loss coefficient is calculated directly as (7) Minimizing the quadratic form to obtain K 1 and K 2 (8) Where W ci , B mi is the i th point of the data on the measured loss characteristics curve.…”
Section: Core Loss Expression and Coefficientsmentioning
confidence: 99%
“…Besides the salient rotor structure produces a high torque/inertia ratio to guarantee a fast acceleration and deceleration with low load inertia. Despite the recent developments in the design and application of the SRM [5][6][7][8][9], the cost and supply of rare-earth permanent magnets poses a problem for future mass production.…”
Section: Introductionmentioning
confidence: 99%
“…The Electric currents and friction in an electric machine generate heat. Hence temperature of different parts of the machine rise which could cause deterioration of insulation in windings [1], thermal stress, efficiency reduction and this may lead to motor failure. Also under high loads, temperature rise influences the machine electrical and magnetic parameters [2].…”
Section: Introductionmentioning
confidence: 99%