Characteristic Thermal Parameters in Electric Motors: Comparison Between Induction- and Permanent Magnet Excited Machine

Groschup, Benedikt; Nell, Martin; Pauli, Florian; Hameyer, Kay

doi:10.1109/tec.2021.3056771

Cited by 16 publications

(19 citation statements)

References 26 publications

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“…with the Lorenz number L 0 and the temperature ϑ. As shown within this study, the rule is not fully applicable for alloys, but already indicates a negative impact of increased Si and Al alloy components on the thermal conductivity k. Several influencing thermal parameters, such as the heat transition in the air gap, the interfaces between lamination and housing, the impregnation goodness or the end winding correlation are well studied within the literature [3,4]. A fundamental understanding of the influencing factors of structural soft magnetic parameters on the thermal behavior of electric machines is rare to find.…”

Section: Introductionmentioning

confidence: 87%

Study of the Thermal Conductivity of Soft Magnetic Materials in Electric Traction Machines

et al. 2021

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The power density of traction drives can be increased with advanced cooling systems or reduced losses. In induction machines with housing and shaft cooling, the produced heat in the stator and rotor winding system needs to be extracted over the rotor and stator lamination. The influence of soft magnetic material parameters, such as texture, thickness or alloy components on the magnetization and loss behavior, are well studied. Studies about influencing factors on the thermal conductivity are hard to find. Within this study, eight different soft magnetic materials are analyzed. An analytical approach is introduced to calculate the thermal conductivity. Temperature-dependent measurements of the electric resistivity are performed to obtain sufficient data for the analytical approach. An experimental approach is performed. The thermal diffusivity, density, and specific heat capacity are determined. An accuracy study of all measurements is performed. The analytical and the experimental approach show good agreement for all materials, except very thin specimens. The estimated measurement error of those specimens has high values. The simplified case study illustrates the significant influence of the different soft magnetic materials on the capability to extract the heat in the given application.

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Section: Introductionmentioning

confidence: 87%

Study of the Thermal Conductivity of Soft Magnetic Materials in Electric Traction Machines

et al. 2021

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“…In additional to stator copper loss, rotor bar copper loss, estimated by the square of bar current 𝐼 𝑏𝑎𝑟 multiplied by bar resistance 𝑅 𝑏𝑎𝑟 , is included for IM Equation (8). Total stator and rotor core loss can be calculated by using (9), where 𝑃 ℎ𝑠𝑦 is hysteresis loss, 𝑃 𝑒𝑥𝑐 is excessive loss, 𝑃 𝑒𝑑𝑑 is eddy current loss, 𝑓 1 is working frequency, and 𝑓 0 is the fundamental frequency. Mechanical 𝑃 𝑚𝑒𝑐ℎ and additional losses 𝑃 𝑎𝑑𝑑 including the friction, wind and stray load losses have also been taken into account.…”

Section: Figure 15 Flow Chart Of the Flux-weakening Algorithmmentioning

confidence: 99%

“…Interior-permanent magnet (IPM) rotor topologies are employed in the propulsion systems of the world's leading commercial hybrid electric vehicles (HEVs) and EVs, including Tesla/Model 3, Nissan/LEAF, Renault/Zoe, Toyota/Prius, Mitsubishi/Outlander, Hyundai/Kona, BMW/i3, Audi/e-tron, Kia/Niro, and many others. Alternatively, some other vehicles, such as Tesla (Model S), BMW (X5), GM (EV1), Renault (Kangoo), Chrysler (Durango), and several other vehicles use induction machines (IMs) [2][3][4][5][6][7][8][9][10]. Electrical machines designed for propulsion applications should have the following essential performance characteristics: high-starting torque, high-efficiency over a wide speed range, high-power and torque densities, low-torque ripple, high-reliability, and affordable cost [11,12].…”

Section: Introductionmentioning

confidence: 99%

“…U-V-W-shapes, various PM layers, and etc. (IPM 2), IPM machines designed with one of the rotor topologies given in IPM 2 (IPM 1), surface-mounted PM (SPM) machine, switched reluctance machine (SRM), synchronous reluctance machine (SnyRM), brushless DC (BLDC) machines, PM assisted SRM (PMaSRM), claw-pole (CP) machine [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. Moreover, some of the studies have been investigated the design and drives of these traction machines [5,[10][11][12] and [21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

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Torque Capability Comparison of Induction and Interior Permanent Magnet Machines for Traction Applications

Gündoğdu

2023

Gazi University Journal of Science

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This paper investigates the torque generating capabilities and performance comparison of induction machines (IM) and interior-permanent magnet (IPM) machines for electric vehicle (EV) traction applications. Electromagnetic performance characteristics, such as torque, torque ripple, air-gap flux density, etc. are quantitatively compared by changing the level of electric loading. Other performance characteristics such as saturation factor, power losses, efficiency, etc. including the flux-weakening capability and efficiency map have also been compared. For calculations of the electromagnetic performance characteristics, 2D time-stepping finite element analysis (FEA) has been employed. It has been revealed that due to the reduction in torque components of IPM machine as a consequence of magnet demagnetization, it cannot generate toque as high as IM under overloading operating conditions. A thorough review of the literature on comparative studies on the electrical machines used in EV or Hybrid EV (HEV) applications is also included.

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“…The LPTN created by Motor-CAD ® was extracted and imported into MATLAB ® . The thermal parameters and the LPTN of the machine are explained in [24]. The LPTN is solved in Matlab using the modified nodal potential analysis and the Backward Euler method.…”

Section: Thermal Modelmentioning

confidence: 99%

Approach for the Model and Parameter Selection for the Calculation of Induction Machines

2021

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The solution of multiphysical problems in the field of electrical machines is a complex task that involves the modeling of a wide variety of coupled physical domains. Different types of models and solution methods can be used to model and solve the individual domains. In this paper a procedure for the methodical selection of the most suitable model for a given multiphysics task is presented. Furthermore, an approach for the selection of the most suitable variable machine parameters for a design optimization is presented. The model selection is presented on the basis of the electromagnetic calculation of an induction machine. For this purpose, models of different value ranges and levels of detail, such as analytical and numerical ones, are considered. The approach of the model selection is explained and applied on the basis of a coupled electromagnetic-thermal simulation of an exemplary induction machine. The results show that the model selection presented here can be used to methodically determine the most suitable model in terms of its value range, level of detail and computational effort for a given multiphysical problem.

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Characteristic Thermal Parameters in Electric Motors: Comparison Between Induction- and Permanent Magnet Excited Machine

Cited by 16 publications

References 26 publications

Study of the Thermal Conductivity of Soft Magnetic Materials in Electric Traction Machines

Study of the Thermal Conductivity of Soft Magnetic Materials in Electric Traction Machines

Torque Capability Comparison of Induction and Interior Permanent Magnet Machines for Traction Applications

Approach for the Model and Parameter Selection for the Calculation of Induction Machines

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