2020
DOI: 10.30941/cestems.2020.00011
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Multiobjective electric machine optimization for highest reliability demands

Abstract: This article is about illustrating a workflow for incorporating reliability measures to typical electric machine design optimization scenarios. Such measures facilitate comparing designs not only for rated conditions, but also allow to analyze their performance in the presence of unevitable tolerances. Consequently, by additionally considering reliability or robustness as objectives compared to conventional optimization scenarios, designs featuring low parameter sensitiveness can be obtained. The analysis of t… Show more

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Cited by 10 publications
(3 citation statements)
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References 32 publications
(29 reference statements)
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“…To analyze the role of flexibility resources in improving the economic operation, scenery consumption and low carbon operation of IES, three different scenarios are set up for comparative analysis, and the diversity of flexibility resources in each scenario is gradually expanded [4] .…”
Section: Scenario Settingmentioning
confidence: 99%
“…To analyze the role of flexibility resources in improving the economic operation, scenery consumption and low carbon operation of IES, three different scenarios are set up for comparative analysis, and the diversity of flexibility resources in each scenario is gradually expanded [4] .…”
Section: Scenario Settingmentioning
confidence: 99%
“…When creating a reliable design model, it is important to reduce the necessary calculations and appropriately combine the parameters. Therefore, accurate models can be obtained with different algorithms in the design optimization process [17]. For hybrid electric vehicles, parameters such as power, high efficiency, volume, and weight are important in the design of electric machines.…”
Section: Introductionmentioning
confidence: 99%
“…This paper discusses the fault tolerant capability of the 6PIM equipped with different winding configurations (such as distributed, concentrated, and pseudo-concentrated windings) under different fault scenarios. Recently, many valuable published works focused on the reliability evaluation of electrical machines [20]- [24]. Various studies on motor reliability have shown that about 30% to 40% of induction motor failures are caused by stator winding faults [25]- [26].…”
Section: Introductionmentioning
confidence: 99%