2018
DOI: 10.3233/jae-182318
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Three dimensional pole shape optimization of claw pole machines based on a hybrid model

Abstract: This paper deals with the shape optimization of the claws of a claw-pole synchronous machine. A hybrid model combining 3D FEM and Permeance Network is developed for this purpose. The optimization of the average torque with fixed stator geometry is performed using Mesh Adaptative Direct Search methods. The developed methodology has led to improve the performances of claw-pole synchronous machines used in mild-hybrid vehicles.

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Cited by 5 publications
(4 citation statements)
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“…Devornique et al recommended optimizing the linear and longitudinal alignment of the U model. Digital samples are provided to compare the proposed technology with available methods, whose results prove the high efficiency of the proposed algorithm [ 4 ]. For multicenter optimization issues, Mercado-Borrayo et al proposed a genetic algorithm to effectively solve these problems [ 5 ].…”
Section: Introductionmentioning
confidence: 99%
“…Devornique et al recommended optimizing the linear and longitudinal alignment of the U model. Digital samples are provided to compare the proposed technology with available methods, whose results prove the high efficiency of the proposed algorithm [ 4 ]. For multicenter optimization issues, Mercado-Borrayo et al proposed a genetic algorithm to effectively solve these problems [ 5 ].…”
Section: Introductionmentioning
confidence: 99%
“…The authors propose to develop a simple method to avoid the preprocessing part reevaluations in an iterative process, similar to the moving band method in the 2 D rotating movement modeling. In the case of optimization processes only few methods exist to reduce the time of each evaluation as in Devornique et al (2018) in which efficient FE models are developed to find a balance between precision and CPU time. That is why the authors proposed, by dint of a trick, a different approach in the use of FEM which mathematically respects the standard weak form.…”
Section: Methodsmentioning
confidence: 99%
“…To design the machine and its supply simultaneously, the FE model is coupled with a free and open‐source optimization framework: NOMAD, 20 based on mesh adaptive direct search (MADS) algorithms. The initial geometry is described thanks to 40 real parameters 21 —2 for the commutator, 7 for the rotor, and 31 for the stator. A complex optimization problem consisting in torque maximization under many constraints is then solved: maxxnormalℝ40ΓmeanunderleftLBXXUBΓmaxΓminnormalΓmean15%0Scopperrotor55%SslotScopperstator78%SslotJstator12Amm2 …”
Section: Claw Pole Machinementioning
confidence: 99%