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Cited by 165

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Analysis and Design Techniques Applied to Hybrid Vehicle Drive Machines—Assessment of Alternative IPM and Induction Motor Topologies

Dorrell, David G., Knight, Andrew M., Evans, Lyndon, Popescu, Mircea·2012·IEEE Transactions on Industrial Electronics

Abstract

In this paper, different analysis and design techniques are used to analyze the drive motor in the 2004 Prius hybrid vehicle and to examine alternative spoke-type magnet rotor (buried magnets with magnetization which is orthogonal to the radial direction) and induction motor arrangements. These machines are characterized by high transient torque requirement, compactness, and forced cooling. While rare-earth magnet machines are commonly used in these applications, there is an increasing interest in motors without magnets, hence the investigation of an induction motor. This paper illustrates that the machines operate under highly saturated conditions at high torque and that care should be taken when selecting the correct analysis technique. This is illustrated by divergent results when using I-Psi loops anddqtechniques to calculate the torque.

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Metadata

Authors
Dorrell, D. G., Knight, A. M., Evans, L., & Popescu, M.
Venue
IEEE Transactions on Industrial Electronics
Published
2012-10
Volume
59
Issue
10
Pages
3690-3699
ISSN
  • 0278-0046 (ISSN-L)
  • 1557-9948
OpenAlex
W2080169024
Cited by
165
References
1
FWCI
8.91
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Analysis and Design Techniques Applied to Hybrid Vehicle Drive Machines—Assessment of Alternative IPM and Induction Motor Topologies. https://app.cochat.ai/papers/10.1109/tie.2011.2165460
The paper
Dorrell, D. G., Knight, A. M., Evans, L., & Popescu, M. (2012). Analysis and Design Techniques Applied to Hybrid Vehicle Drive Machines—Assessment of Alternative IPM and Induction Motor Topologies. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/tie.2011.2165460

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.