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Energies 2017, 10(2), 216; doi:10.3390/en10020216

A Novel Electric Vehicle Powertrain System Supporting Multi-Path Power Flows: Its Architecture, Parameter Determination and System Simulation

Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, China
Shenzhen Key Laboratory of Electric Direct Drive Technology, Shenzhen 518055, China
Author to whom correspondence should be addressed.
Received: 10 November 2016 / Accepted: 6 February 2017 / Published: 13 February 2017
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In this paper, a novel electric vehicle powertrain system is proposed. In the system, a coaxial magnetic gear (CMG), an electromagnetic clutch, a lock, and two electric machines (EMs) are adopted to achieve the power-split by controlling the states of the clutch and the lock, which enables electric vehicles (EVs) to work in four operation modes. The configuration, power flow paths and operation modes are depicted in detail. A dynamic model is established to help determine the parameters and build simulation models. The simple control strategy is adopted to achieve flexible power-splits. How to determine the relevant parameters to meet the drive requirements in the powertrain system is also elaborated. A dynamic simulation using MATLAB/Simulink is performed to take into account the control strategy and New European Drive Cycle. Finally, the simulation results demonstrate, in theory, the rationality of the determined parameters and the feasibility of the operation modes as well as the control strategy. View Full-Text
Keywords: coaxial magnetic gear; electric vehicle; power-split; powertrain coaxial magnetic gear; electric vehicle; power-split; powertrain

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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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Shi, Y.; Wei, J.; Deng, Z.; Jian, L. A Novel Electric Vehicle Powertrain System Supporting Multi-Path Power Flows: Its Architecture, Parameter Determination and System Simulation. Energies 2017, 10, 216.

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