Abstract

This paper presents an experimental study of the electronic differential system with four-wheel, dual-rear in wheel motor independently driven an electric vehicle. It is worth bearing in mind that the electronic differential is a new technology used in electric vehicle technology and provides better balancing in curved paths. In addition, it is more lightweight than the mechanical differential and can be controlled by a single controller. In this study, intelligently supervised electronic differential design and control is carried out for electric vehicles. Embedded system is used to provide motor control with a fuzzy logic controller. High accuracy is obtained from experimental study.

Highlights

  • In road transport systems, the differential plays an important role in preventing the vehicle from slipping in curved roads

  • The output signals of the fuzzy logic supervised electronic differential system (EDS) are given in Fig. 9 according to the 15° steering position given in Fig. 7 and 100 rpm reference speed value

  • In conclusion this study suggests an EDS instead of a mechanical differential system used in conventional electric vehicles

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Summary

INTRODUCTION

The differential plays an important role in preventing the vehicle from slipping in curved roads. In a study to provide an efficient and robust control scheme for the EDS for an electric vehicle, two brushless DC motors (BLDC) are used to drive the two rear wheels of an electric vehicle. A modeling and simulation of an EDS are performed using a new wavelet transform controller for two brushless DC motors to drive the right and left rear wheels. A fuzzy logic controlled EDS for an electric vehicle with two wheels was designed. Speed control with fuzzy logic is performed according to the calculated left and right motor reference speed information In this case, according to mechanical differential electrical vehicles, the mechanical differential losses are eliminated and the friction of the electric vehicle will be reduced and energy saving will be achieved. The advantage of this study and future scope of the paper are discussed

ELECTRONIC DIFFERENTIAL SYSTEM
CONTROL OF ELECTRONIC DIFFERENTIAL SYSTEM VIA FUZZY LOGIC CONTROL
A B C Hall Sensors
Findings
CONCLUSIONS
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