Axial-Flux Induction Motors for Electric Vehicles

Dianati, Babak; Kahourzade, Solmaz; Mahmoudi, Amin

doi:10.1109/vppc46532.2019.8952278

Cited by 21 publications

(6 citation statements)

References 12 publications

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“…L d , L q , and L dq given in the equations are the inductance values of the motor in the relevant axes, and Ψ md and Ψ mqd are the flux linkage values dependent on currents in d and q axes. In this case, the steady state voltages and torque expressions in the dq axis set are expressed by Equations ( 3)- (5).…”

Section: Ipmsm Fem Model and Efficiency Map Calculationmentioning

confidence: 99%

“…However, rotor copper losses and accordingly low thermal load ability are the biggest disadvantages of these motors. Especially in electric vehicle applications, motors containing magnets are often preferred [3][4][5][6]. However, interior permanent magnet synchronous motors (IPMSMs), some of the most often used motors in electric vehicles, are very popular due to their high torque density, high efficiency, wide speed range, and reluctance torque in addition to magnet torque [7,8].…”

Section: Introductionmentioning

confidence: 99%

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Efficiency and Core Loss Map Estimation with Machine Learning Based Multivariate Polynomial Regression Model

Mısır

Akar

2022

Mathematics

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Efficiency mapping has an important place in examining the maximum efficiency distribution as well as the energy consumption of designed electric motors at maximum torque and speed. Performing analysis at all operating points with FEM analysis in the motor design process requires high processing costs and time. In this article, a machine learning-based multivariate polynomial regression estimation model was developed to overcome these costly processes from FEM analysis. With the proposed method, the operating points of the motors in different conditions during the design process can be predicted in advance with high accuracy. In the study, two different models are developed for efficiency map and core loss estimation of interior permanent magnet synchronous motor design. The developed models use few parameters and predict with high accuracy. Estimation models shorten the design process and offer a less complex model. Obtained results are validated by comparison with FEM analysis.

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Section: Ipmsm Fem Model and Efficiency Map Calculationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Efficiency and Core Loss Map Estimation with Machine Learning Based Multivariate Polynomial Regression Model

Mısır

Akar

2022

Mathematics

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“…So, it is considered as the last gear reduction part of the in-body transmission system [149]. The efficiency of the differential, written in (10), depends on its gear mesh efficiency (η gmd ) and bearing efficiency (η bd ). In (10), N bd shows the number of differential bearings.…”

Section: Loss and Efficiency In The Single And Multi-speed Transmission Systemsmentioning

confidence: 99%

“…The efficiency of the differential, written in (10), depends on its gear mesh efficiency (η gmd ) and bearing efficiency (η bd ). In (10), N bd shows the number of differential bearings.…”

Section: Loss and Efficiency In The Single And Multi-speed Transmission Systemsmentioning

confidence: 99%

“…The high-power density of the permanent magnet synchronous motors (PMSM) made them popular in the traction application [8,9]. The high cost of the rare-earth magnet materials of the PMSM motives researchers to improve the efficiency and performance of the induction [10], synchronous reluctance [11], and switched reluctance motors [12][13][14]. Nowadays, PMSMs are the main part of the propulsion system of the commercialized EVs whereas some models of Tesla electric car such as Tesla Roadster benefit from the low-cost induction machine in its propulsion system [15].…”

Section: Introductionmentioning

confidence: 99%

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Losses in Efficiency Maps of Electric Vehicles: An Overview

et al. 2021

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In some applications such as electric vehicles, electric motors should operate in a wide torque and speed ranges. An efficiency map is the contour plot of the maximum efficiency of an electric machine in torque-speed plane. It is used to provide an overview on the performance of an electric machine when operates in different operating points. The electric machine losses in different torque and speed operating points play a prominent role in the efficiency of the machines. In this paper, an overview about the change of various loss components in torque-speed envelope of the electric machines is rendered to show the role and significance of each loss component in a wide range of torque and speeds. The research gaps and future research subjects based on the conducted review are reported. The role and possibility of the utilization of the computational intelligence-based modeling of the losses in improvement of the loss estimation is discussed.

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