Optimization of Axial-Flux Induction Motors for the Application of Electric Vehicles Considering Driving Cycles

Dianati, Babak; Kahourzade, Solmaz; Mahmoudi, Amin

doi:10.1109/tec.2020.2976625

Cited by 59 publications

(17 citation statements)

References 25 publications

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“…The core loss is usually modeled with a resistance in the electric equivalent circuit of the electric motors. So, authors estimate the core losses for a certain frequency and voltage level to find a proper value of the core resistance in EEC and find the core loss by solving the circuit in different supply voltages and frequencies [23].…”

Section: Core Lossesmentioning

confidence: 99%

“…The paper finally clarifies the available research gaps and suggests the future works which can be investigated by the researchers in the field. The data of this plot has been collected from [23]. (a) Highway Fuel Economy Test (HWFET), (b) Urban Dynamometer Driving Schedule (UDDS), (c) Induction motor efficiency countor and the UDDS driving cycle operating points in the torque-speed envelope.…”

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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Section: Core Lossesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Losses in Efficiency Maps of Electric Vehicles: An Overview

et al. 2021

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“…Being an AC machine, an IM exhibits two windings separating by an air-gap [1], [2], where all electromagnetic energy is transferred by inductive coupling from the primary winding to the secondary winding. The IM-based drives offer the advantages of robust structure, low cost, high reliability, and maintenance-free [3]. Therefore, the squirrel-cage IMs are widely employed in EVs/HEVs for high torque/power density, high efficiency, strong physical structure, and variable speed range [4].…”

Section: A Induction Machines (Ims)mentioning

confidence: 99%

A Critical Review of Emerging Technologies for Electric and Hybrid Vehicles

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Wang²,

Li³

et al. 2021

IEEE Open J. Veh. Technol.

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Because of the enhancing discussions on environmental protection and energy utilization, development of electric vehicles and hybrid electric vehicles (EVs/HEVs) has become a hot research topic. In the last few decades, there are numerous technologies developed for EV/HEV applications, while a comprehensive review of these emerging technologies is of high paramount. In this paper, the key research topics in area of EVs/HEVs, namely electrical machines, electrochemical energy sources, wireless charging infrastructure, and latest EV/HEV models, are covered. This paper aims to consolidate the key emerging technologies in this field and provide the readers a blueprint to begin their own journeys.

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“…They consist the most well spread motoring devices in industry in a number of applications such as pumps, mills, conveyors and elevating machines [1]. They have also been used as traction motors in electric vehicle applications [2]. As generators, they can be mostly found in wind energy harvesting [3] and small hydro plants [4].…”

Section: Introductionmentioning

confidence: 99%