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Energies 2017, 10(4), 461; doi:10.3390/en10040461

A Multiple Data Fusion Approach to Wheel Slip Control for Decentralized Electric Vehicles

1
School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
2
Department of Greenergy, National University of Tainan, No. 33, Section 2, Shu-Lin Street, Tainan 700, Taiwan
*
Author to whom correspondence should be addressed.
Academic Editor: Joeri Van Mierlo
Received: 29 January 2017 / Revised: 24 March 2017 / Accepted: 27 March 2017 / Published: 2 April 2017
(This article belongs to the Special Issue Advances in Electric Vehicles and Plug-in Hybrid Vehicles 2017)

Abstract

Currently, active safety control methods for cars, i.e., the antilock braking system (ABS), the traction control system (TCS), and electronic stability control (ESC), govern the wheel slip control based on the wheel slip ratio, which relies on the information from non-driven wheels. However, these methods are not applicable in the cases without non-driven wheels, e.g., a four-wheel decentralized electric vehicle. Therefore, this paper proposes a new wheel slip control approach based on a novel data fusion method to ensure good traction performance in any driving condition. Firstly, with the proposed data fusion algorithm, the acceleration estimator makes use of the data measured by the sensor installed near the vehicle center of mass (CM) to calculate the reference acceleration of each wheel center. Then, the wheel slip is constrained by controlling the acceleration deviation between the actual wheel and the reference wheel center. By comparison with non-control and model following control (MFC) cases in double lane change tests, the simulation results demonstrate that the proposed control method has significant anti-slip effectiveness and stabilizing control performance. View Full-Text
Keywords: wheel slip control; data fusion; active safety control; power decentralized electric vehicle wheel slip control; data fusion; active safety control; power decentralized electric vehicle
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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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Yin, D.; Sun, N.; Shan, D.; Hu, J.-S. A Multiple Data Fusion Approach to Wheel Slip Control for Decentralized Electric Vehicles. Energies 2017, 10, 461.

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