Analysis of Winding MMF and Loss for Axial Flux PMSM With FSCW Layout and YASA Topology

Chen, Qixu; Liang, Deliang; Jia, Shaofeng; Ze, Qiji; Liu, Yibin

doi:10.1109/tia.2020.2981445

Cited by 25 publications

(11 citation statements)

References 19 publications

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“…At the same time, several duty cycles are considered in [3][4][5][6][7]. An infrared thermal imager was adopted to validate surface temperature distribution [8,9]. A convective heat transfer coefficient has a big impact on the temperature rise of the machine [10][11][12].…”

Section: Thermal Resistance Calculation Of Thermal Network Unitmentioning

confidence: 99%

“…A lumped-parameter thermal network (LPTN) model is always used to predict the node temperature of various electric machines. Transient temperature rises of part nodes are calculated by solving differential equations [1][2][3][4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

“…A convective heat transfer coefficient has a big impact on the temperature rise of the machine [10][11][12]. The heat transfer coefficient is deduced theoretically in [8], analyzed by a coupled electromagnetic and thermal model in [9] or evaluated by the average Nusselt number in the stator channels between adjacent teeth [10]. The steady-state thermal network analysis and experiment of a 25 kW IPMSM with "-" type PM per pole was finished in [13].…”

Section: Introductionmentioning

confidence: 99%

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Development of a Fast Thermal Model for Calculating the Temperature of the Interior PMSM

Chen

et al. 2021

Energies

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A 40 kW–4000 rpm interior permanent magnet synchronous machine (IPMSM) applied to an electric vehicle (EV) is introduced as the study object in this paper. The main work of this paper is theoretical derivation and validation of the first-order and multi-order transient lumped-parameter thermal network (LPTN) for the development of a fast thermal model. Based on the first-order LPTN built, the study finds that the heat transfer coefficient of fluid and thickness of the air gap layer are the main influencing factors for the final temperature and time of reaching the steady state. The larger the heat transfer coefficient of fluid is, the lower the steady node temperature is. The smaller the air layer thickness is, the lower the steady node temperature is. The multi-order LPTN theory is further deduced based on the extension of the first-order LPTN. For the constant load and rectangular periodic load, transient node temperatures of the IPMSM are obtained by modeling and solving the first order inhomogeneous differential equations. Temperature rise curves and efficiency maps of the IPMSM under load conditions are realized on a dynamometer platform. The FLUKE infrared-thermal imager and the thermocouple PTC100 are used to validate the mentioned method. The experiment shows that the LPTN of the IPMSM can accurately predict the node temperature.

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Section: Thermal Resistance Calculation Of Thermal Network Unitmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Development of a Fast Thermal Model for Calculating the Temperature of the Interior PMSM

Chen

et al. 2021

Energies

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“…Among the designs of electric drive systems, those with electric motors located directly in the wheel are evolving rapidly. The vast majority of these designs use synchronous motors with permanent magnets, such as outrunner radial flux [33][34][35][36][37][38][39][40], axial flux [41][42][43][44][45][46][47][48], reluctance [49,50] or induction [51,52]. There are also constructions that, in order to reduce exhaust emissions generated by heat engines, use drive modules that can be added to an existing internal combustion vehicle by replacing parts of the suspension components [53,54] or the entire axle [55].…”

Section: Introductionmentioning

confidence: 99%

Studies on Energy Consumption of Electric Light Commercial Vehicle Powered by In-Wheel Drive Modules

Szewczyk

Łebkowski

2021

Energies

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This article presents the results of energy consumption research for an electric light commercial vehicle (eLCV) powered by a centrally located motor (4 × 2 drive system) or motors placed in the vehicle’s wheels (4 × 4 drive system). For the considered constructions of electric drive systems, mathematical models of 4 × 2 and 4 × 4 drive systems were developed in the Modelica simulation environment, based on real data. Additionally, the influence of changes in the vehicle loading condition on the operation of the motor mounted in the wheel and the energy consumption of the drive module was investigated. On the basis of the conducted research, a comparative analysis of energy consumption by electric drive systems in 4 × 2 and 4 × 4 configurations was carried out for selected test cycles. The tests carried out with the Worldwide harmonized Light vehicles Test Cycles (WLTC) test cycle showed a roughly 6% lower energy consumption by the 4 × 4 drive system compared to the 4 × 2 configuration.

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“…To enhance the thermal performance of YASA AFPM machines, the well adopted cooling methods include air cooling [9]- [12], water cooling [13]- [15] and oil cooling [16]- [18]. Air cooling is beneficial for its low cost, simplicity and high reliability.…”

mentioning

confidence: 99%

Additively Manufactured Winding Design for Thermal Improvement of an Oil-Cooled Axial Flux Permanent Magnet Machine

Tan

Fan

et al. 2024

IEEE Trans. Transp. Electrific.

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This article proposes a new additively manufactured winding with integrated heat sinks to improve thermal performance of an oil-cooled yokeless and segmented armature (YASA) axial flux permanent magnet machines. The heat sinks featuring pin-fin structure are integrated to the two sides and top of the winding to increase the heat transfer area and convective heat transfer coefficient, thus improving the thermal performance. Computational fluid dynamics is employed to evaluate the thermal performance of the proposed winding, which is further compared with that of the state-of-the-art rectangular winding. Besides, the influence of pin spacing in streamwise direction, tilt angle, flow rate and resistances on the thermal performance and pressure drops of the proposed winding are investigated. Finally, prototypes of the proposed winding and the counterpart rectangular winding are manufactured to verify the numerical analyses. The experimental results show that the winding temperature of the proposed winding can be reduced by 27.6 ℃ compared with that of rectangular winding. Index Terms-Additive manufacturing, cooling design, oil cooling, yokeless and segmented armature axial flux permanent magnet machines. I. INTRODUCTIONLECTRIFICATION is a main enabler for decarbonised transportation. To achieve the "Net Zero" target in future decades [1], ambitious roadmaps have been drawn up globally, which translate into step-change performance requirements for electrical machines in terms of their power density level, from 8 kW/L to 30kW/L [2-3]. The power density of state-of-the-art machines is primarily limited

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Analysis of Winding MMF and Loss for Axial Flux PMSM With FSCW Layout and YASA Topology

Cited by 25 publications

References 19 publications

Development of a Fast Thermal Model for Calculating the Temperature of the Interior PMSM

Development of a Fast Thermal Model for Calculating the Temperature of the Interior PMSM

Studies on Energy Consumption of Electric Light Commercial Vehicle Powered by In-Wheel Drive Modules

Additively Manufactured Winding Design for Thermal Improvement of an Oil-Cooled Axial Flux Permanent Magnet Machine

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