EPE Association: EPE 2019 - LS1e: Machine and Drive System Design and Modelling

EPE 2019 - LS1e: Machine and Drive System Design and Modelling
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2019 ECCE Europe - Conference > EPE 2019 - Topic 04: Electrical Machines and Drive Systems > EPE 2019 - LS1e: Machine and Drive System Design and Modelling

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   Many-objective Optimization of IPM and Induction Motors for Automotive Application
By Konstantina BITSI [View]
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Abstract: This paper presents a Pareto-optimality-based optimization methodology suitable for the design of electrical motors in automotive applications. The proposed many-objective evolutionary algorithm is utilized in this study case for the optimization of an interior permanent-magnet (IPM) synchronous motor and an induction motor (IM), considering as criteria the motors' torque capability, efficiency as well as torque density. Finite-element (FE) models of the investigated motor topologies are developed and incorporated in the optimization process in order to ensure an accurate estimation of their electromagnetic performance. The attainment of the targeted specifications by the final optimal designs validates the efficacy of the implemented optimization algorithm.

   Performance Comparison between PMASynRM with Dy-Free Bonded Magnets and IPMSM with Sintered Magnets for Automotive Applications under Various Temperature Condit
By Marika KOBAYASHI [View]
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Abstract: Heavy rare-earth materials, such as dysprosium (Dy), have problems associated with their high cost and unstable supply. This paper proposes a permanent magnet (PM) assisted synchronous reluctance motor (PMASynRM) with Dy-free bonded magnets and compares its performance considering irreversible demagnetization with the conventional interior PM synchronous motor (IPMSM) with sintered rare-earth magnets under various temperature conditions on the basis of the results of the two-dimensional finite element analysis. It was found that the performance of the proposed PMASynRM was comparable to, or better than, that of the conventional IPMSM below 100°C. However, it was also found that the performance degradation due to the temperature rise in the proposed PMASynRM was marked owing to irreversible demagnetization of the bonded magnets.

   PERFORMANCE IMPROVEMENT OF SPM SYNCHRONOUS MACHINES WITH NON-CONVENTIONAL STATOR SLOT MAGNETIC WEDGES
By Lucia FROSINI [View]
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Abstract: The opportunity to employ magnetic wedges in superficial permanent magnet machines with fractional-slot concentrated winding has been evaluated in this paper, with the aim to reduce the power losses, especially in the magnets, to increase the overall efficiency and to improve the field weakening capability. Finite element simulations with two different software are here presented, by using a model experimentally validated on a real motor. A novel wedge composed by different portions of materials with different values of magnetic permeability is proposed. The effects of both conventional and non-conventional magnetic wedges have been evaluated, in order to optimize the performance of the motor in all working conditions.

   System Level Motor Drive Modelling for Optimization-based Designs
By Benjamin CHEONG [View]
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Abstract: To achieve optimal system weight and efficiency, the design of main components in an AC motor drive (electric machine and power converter) have to be optimized together. This is challenging considering the multi-physics and complex nature of its operation and interactions between the components. There are few papers that address a formal approach towards this design optimization for motor drives at a system level. This paper aims to fill this gap by presenting a fast and accurate system level motor drive model, for use in an optimization-based design approach. At a system level, the presented model is able to consider several aspects of machine-converter interactions. The model is also fully analytical and non-iterative, making it very computationally efficient. Further, a back-to-back motor-drive test setup is employed to experimentally verify the accuracy of the model and results are presented in this paper.

EPE 2019 - LS1e: Machine and Drive System Design and Modelling
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2019 ECCE Europe - Conference > EPE 2019 - Topic 04: Electrical Machines and Drive Systems > EPE 2019 - LS1e: Machine and Drive System Design and Modelling
	[return to parent folder]

	Many-objective Optimization of IPM and Induction Motors for Automotive Application By Konstantina BITSI	[View] [Download]
Abstract: This paper presents a Pareto-optimality-based optimization methodology suitable for the design of electrical motors in automotive applications. The proposed many-objective evolutionary algorithm is utilized in this study case for the optimization of an interior permanent-magnet (IPM) synchronous motor and an induction motor (IM), considering as criteria the motors' torque capability, efficiency as well as torque density. Finite-element (FE) models of the investigated motor topologies are developed and incorporated in the optimization process in order to ensure an accurate estimation of their electromagnetic performance. The attainment of the targeted specifications by the final optimal designs validates the efficacy of the implemented optimization algorithm.

	Performance Comparison between PMASynRM with Dy-Free Bonded Magnets and IPMSM with Sintered Magnets for Automotive Applications under Various Temperature Condit By Marika KOBAYASHI	[View] [Download]
Abstract: Heavy rare-earth materials, such as dysprosium (Dy), have problems associated with their high cost and unstable supply. This paper proposes a permanent magnet (PM) assisted synchronous reluctance motor (PMASynRM) with Dy-free bonded magnets and compares its performance considering irreversible demagnetization with the conventional interior PM synchronous motor (IPMSM) with sintered rare-earth magnets under various temperature conditions on the basis of the results of the two-dimensional finite element analysis. It was found that the performance of the proposed PMASynRM was comparable to, or better than, that of the conventional IPMSM below 100°C. However, it was also found that the performance degradation due to the temperature rise in the proposed PMASynRM was marked owing to irreversible demagnetization of the bonded magnets.

	PERFORMANCE IMPROVEMENT OF SPM SYNCHRONOUS MACHINES WITH NON-CONVENTIONAL STATOR SLOT MAGNETIC WEDGES By Lucia FROSINI	[View] [Download]
Abstract: The opportunity to employ magnetic wedges in superficial permanent magnet machines with fractional-slot concentrated winding has been evaluated in this paper, with the aim to reduce the power losses, especially in the magnets, to increase the overall efficiency and to improve the field weakening capability. Finite element simulations with two different software are here presented, by using a model experimentally validated on a real motor. A novel wedge composed by different portions of materials with different values of magnetic permeability is proposed. The effects of both conventional and non-conventional magnetic wedges have been evaluated, in order to optimize the performance of the motor in all working conditions.

	System Level Motor Drive Modelling for Optimization-based Designs By Benjamin CHEONG	[View] [Download]
Abstract: To achieve optimal system weight and efficiency, the design of main components in an AC motor drive (electric machine and power converter) have to be optimized together. This is challenging considering the multi-physics and complex nature of its operation and interactions between the components. There are few papers that address a formal approach towards this design optimization for motor drives at a system level. This paper aims to fill this gap by presenting a fast and accurate system level motor drive model, for use in an optimization-based design approach. At a system level, the presented model is able to consider several aspects of machine-converter interactions. The model is also fully analytical and non-iterative, making it very computationally efficient. Further, a back-to-back motor-drive test setup is employed to experimentally verify the accuracy of the model and results are presented in this paper.