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Energies 2015, 8(9), 9541-9564; doi:10.3390/en8099541

Advanced Electrical Machines and Machine-Based Systems for Electric and Hybrid Vehicles

1
School of Electrical Engineering, Southeast University, Nanjing 210096, China
2
Department of Industrial Engineering, University of Padova, Padova 35131, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Joeri Van Mierlo
Received: 29 July 2015 / Revised: 23 August 2015 / Accepted: 26 August 2015 / Published: 2 September 2015
(This article belongs to the Special Issue Advances in Plug-in Hybrid Vehicles and Hybrid Vehicles)

Abstract

The paper presents a number of advanced solutions on electric machines and machine-based systems for the powertrain of electric vehicles (EVs). Two types of systems are considered, namely the drive systems designated to the EV propulsion and the power split devices utilized in the popular series-parallel hybrid electric vehicle architecture. After reviewing the main requirements for the electric drive systems, the paper illustrates advanced electric machine topologies, including a stator permanent magnet (stator-PM) motor, a hybrid-excitation motor, a flux memory motor and a redundant motor structure. Then, it illustrates advanced electric drive systems, such as the magnetic-geared in-wheel drive and the integrated starter generator (ISG). Finally, three machine-based implementations of the power split devices are expounded, built up around the dual-rotor PM machine, the dual-stator PM brushless machine and the magnetic-geared dual-rotor machine. As a conclusion, the development trends in the field of electric machines and machine-based systems for EVs are summarized. View Full-Text
Keywords: permanent magnet machine; hybrid-excitation; memory motor; fault-tolerant control; power split; electric variable transmission; hybrid vehicles; electric vehicle permanent magnet machine; hybrid-excitation; memory motor; fault-tolerant control; power split; electric variable transmission; hybrid vehicles; electric vehicle
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Cheng, M.; Sun, L.; Buja, G.; Song, L. Advanced Electrical Machines and Machine-Based Systems for Electric and Hybrid Vehicles. Energies 2015, 8, 9541-9564.

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