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Optimization of DC Starters Based on Reluctance Network Accounting for Armature Reaction Magnetic Field

Abstract : In the new generation of "Stop & Start" starters, a DC series motor with high power density is used. In this application, non-symmetrical machines are used due to the single wave winding in brushed motors. The saturation of the iron core in this application reaches a really high level. Moreover, armature reaction in DC machine with a large stator pole spans makes this phenomenon even more enhanced. All these criteria lead to model the whole machine in highly saturated conditions which is time consuming. In this paper, a fast reluctance network (RN) model for an equivalent machine is proposed. It takes into account the armature reaction in high saturation conditions. It also allows a good accuracy and permits us to show the relevance of taking into account this phenomenon in torque calculation. This model is validated by a finite element (FE) method in many operating points, and by a statistical approach. It shows high robustness and low computation time. Finally, an optimization procedure using this reluctance network model and FE is presented in order to show the accuracy of the RN compared to FE model.
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https://hal.univ-lorraine.fr/hal-02000828
Contributor : Latifa Zoua <>
Submitted on : Wednesday, January 30, 2019 - 6:34:12 PM
Last modification on : Sunday, June 13, 2021 - 5:26:25 PM

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Sara Bazhar, Julien Fontchastagner, Noureddine Takorabet, Nicolas Labbe, Raphael Andreux. Optimization of DC Starters Based on Reluctance Network Accounting for Armature Reaction Magnetic Field. Electric Power Components and Systems, Taylor & Francis, 2017, 45 (16), pp.1822-1831. ⟨10.1080/15325008.2017.1402394⟩. ⟨hal-02000828⟩

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