Influence of winding design on thermal dynamics of permanent magnet traction motor

Martinović, Marijan; Žarko, Damir; Stipetić, Stjepan; Jerčić, Tino; Kovačić, Marinko; Hanić, Zlatko; Staton, D.A.

doi:10.1109/speedam.2014.6872026

Cited by 10 publications

(4 citation statements)

References 10 publications

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“…As it is shown in (26) and (27), the load forces depend only on square of the rotational speed, assuming there is no significant deformation in the displacement (x and y). The rotor material was modelled using Young's modulus (E = 200 GPa) and Poisson's ratio (n = 0.3).…”

Section: Mechanical Stress Analysismentioning

confidence: 92%

“…However, if the optimisation procedure involves multiphysics simulations with coupled electromagnetic-thermal calculations, the number of turns per coil may be important in some cases like the drive cycle simulations of a traction motor as described in [27]. In addition, the number of conductors (in form wound stator coils) or conductor strands (in random wound stator coils) in the slot may be required for accurate representation of the winding by the layered or cuboid thermal model.…”

Section: Special Issue: Permanent-magnet Synchronous Reluctance Machimentioning

confidence: 99%

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Optimised design of permanent magnet assisted synchronous reluctance motor series using combined analytical–finite element analysis based approach

Stipetić

Žarko

Kovačić

2016

IET Electric Power Applications

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This paper presents a comprehensive approach to design of series of permanent magnet assisted synchronous reluctance motors using combined analytical and finite element calculations. A global optimization metaheuristic algorithm (Differential Evolution) is utilized in order to achieve optimal design in terms of maximum torque per volume with numerous specific boundaries imposed on motor geometry and performance. A novel approach to calculation of the specified constant power speed range and demagnetization effect in sudden symmetrical short circuit using iterative finite element magnetostatic simulations is presented. Based on the results of optimized design, a 100 kW prototype was built and tested. 7. β/β 0-angle of the slanted magnet relative to the maximum allowed angle of the slanted magnet (β 0 = 0.5π(1 − 1/p)), 8. λp-angular span of the inner cavity relative to the pole pitch. Lower and upper boundary constraints of the variables are: 0.45 ≤Ds/Dout ≤ 0.75, 0.2 ≤hys/[(Dout − Ds)/2] ≤ 0.6, 0.3 ≤bt/τu ≤ 0.7, 0.05 ≤λm ≤ 0.5, 0.2 ≤λ md1 ≤ 0.6, 0.05 ≤λ md2 ≤ 0.4, 0.5 ≤β/β 0 ≤ 1.0, 0.75 ≤λp ≤ 0.95. Variables with constant value, i.e. design parameters that do not change during the optimization procedure (preset parameters) according to Fig. 1 are: 1. δ = 0.8 mm-air-gap length,

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Section: Mechanical Stress Analysismentioning

confidence: 92%

Section: Special Issue: Permanent-magnet Synchronous Reluctance Machimentioning

confidence: 99%

Optimised design of permanent magnet assisted synchronous reluctance motor series using combined analytical–finite element analysis based approach

Stipetić

Žarko

Kovačić

2016

IET Electric Power Applications

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“…The rewinding procedure can be independent of any other scaling procedure, but in this paper it is not separable from the axial and radial scaling because the scaled machine must have prescribed voltage rating. Rewinding can be of high importance when determining the optimal winding parameters for a traction drive with prescribed drive cycle [13][14][15].…”

Section: Rewindingmentioning

confidence: 99%

Ultra‐fast axial and radial scaling of synchronous permanent magnet machines

Stipetić

Žarko

Popescu

2016

IET Electric Power Applications

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Scaling laws are used when the size of a certain machine design with known performance needs to be adjusted for a new application with known requirements, or when a machine design is geometrically scaled and one needs to determine its performance. Scaling laws derived in this study allow one to quickly and accurately recalculate parameters of a geometrically scaled permanent magnet machine. They basically consist of two separate important scaling procedures: axial scaling and radial scaling. The third and inevitable scaling procedure is rewinding, which is used to adjust the winding for a required voltage level. Exact but simple analytical equations for the various parameters (torque, power, losses, mass, resistance, inductance, efficiency etc.) of the machine are derived using three independent scaling factors, one for each scaling procedure. Special attention is given to the inclusion of end-winding influence and three-dimensional permanent magnet loss effects. Algorithms for fast determination of winding parameters for a given voltage and fast determination of scaling factors for scaling based on the torque requirement with stack length limitation are presented. All derived scaling equations are numerically validated using two state-of-the-art motor design software packages with automated extraction of parameters based on finite-element calculations.

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“…The motor power density is improved by increasing the electromagnetic load as far as possible in the limited space, leading to the limited size of the high density PMSM, higher electromagnetic load and heat load than common motor. These features are very strict requirements for the correct evaluation of the thermal performance of the motor [1][2][3]. The life and operating reliability of motor are decided by the thermal performance of the motor, especially the temperature rise of stator winding and the rotor magnet.…”

Section: Introductionmentioning

confidence: 99%

Thermal Analysis of High Density Permanent Magnet Synchronous Motor Based on Multi Physical Domain Coupling Simulation

Chen¹,

Zhang²,

He³

et al. 2017

Journal of Electrical Engineering and Technology

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-In order to meet the thermal performance analysis accuracy requirements of high density permanent magnet synchronous motor (PMSM), a method of multi physical domain coupling thermal analysis based on control circuit, electromagnetic and thermal is presented. The circuit, electromagnetic, fluid, temperature and other physical domain are integrated and the temperature rise calculation method that considers the harmonic loss on the frequency conversion control as well as the loss non-uniformly distributed and directly mapped to the temperature field is closer to the actual situation. The key is to obtain the motor parameters, the realization of the vector control circuit and the accurate calculation and mapping of the loss. Taking a 48 slots 8 poles high density PMSM as an example, the temperature rise distribution of the key components is simulated, and the experimental platform is built. The temperature of the key components of the prototype machine is tested, which is in agreement with the simulation results. The validity and accuracy of the multi physical domain coupling thermal analysis method are verified.

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Influence of winding design on thermal dynamics of permanent magnet traction motor

Cited by 10 publications

References 10 publications

Optimised design of permanent magnet assisted synchronous reluctance motor series using combined analytical–finite element analysis based approach

Optimised design of permanent magnet assisted synchronous reluctance motor series using combined analytical–finite element analysis based approach

Ultra‐fast axial and radial scaling of synchronous permanent magnet machines

Thermal Analysis of High Density Permanent Magnet Synchronous Motor Based on Multi Physical Domain Coupling Simulation

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