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Energies 2015, 8(8), 8537-8561; doi:10.3390/en8088537

Torque Distribution Algorithm for an Independently Driven Electric Vehicle Using a Fuzzy Control Method

1
School of Mechanical Engineering Sungkyunkwan University, Suwon, Gyeonggi 440-746, Korea
2
Advanced technology, Development I Mando Global R&D Center, Seongnam, Gyeonggi 463-400, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Ming Cheng
Received: 29 May 2015 / Revised: 22 July 2015 / Accepted: 5 August 2015 / Published: 12 August 2015
(This article belongs to the Special Issue Advances in Plug-in Hybrid Vehicles and Hybrid Vehicles)
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Abstract

The in-wheel electric vehicle is expected to be a popular next-generation vehicle because an in-wheel system can simplify the powertrain and improve driving performance. In addition, it also has an advantage in that it maximizes driving efficiency through independent torque control considering the motor efficiency. However, there is an instability problem if only the driving torque is controlled in consideration of only the motor efficiency. In this paper, integrated torque distribution strategies are proposed to overcome these problems. The control algorithm consists of various strategies for optimizing driving efficiency, satisfying driver demands, and considering tire slip and vehicle cornering. Fuzzy logic is used to determine the appropriate timing of intervention for each distribution strategy. A performance simulator for in-wheel electric vehicles was developed by using MATLAB/Simulink and CarSim to validate the control strategies. From simulation results under complex driving conditions, the proposed algorithm was verified to improve both the driving stability and fuel economy of the in-wheel vehicle. View Full-Text
Keywords: in-wheel electric vehicle; independent 4-wheel drive; torque distribution; fuzzy control; traction control in-wheel electric vehicle; independent 4-wheel drive; torque distribution; fuzzy control; traction control
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

Park, J.; Jeong, H.; Jang, I.G.; Hwang, S.-H. Torque Distribution Algorithm for an Independently Driven Electric Vehicle Using a Fuzzy Control Method. Energies 2015, 8, 8537-8561.

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