Year

2019

Degree Name

Doctor of Philosophy

Department

School of Electrical, Computer and Telecommunications Engineering

Abstract

The objective of this research project is to develop an improved and more accurate advanced driver assistance system (ADAS) in electric vehicles (EVs). An accurate ADAS can reduce the range anxiety (driver’s fear of being stranded by a depleted EV battery) and can increase the penetration of EVs into the transportation market that can reduce greenhouse gas emissions, global warming, and air pollution generated from the vehicles using the conventional internal combustion engines. Improving the accuracy of the ADAS in EVs is the most practical, economical and efficient method to deal with driver’s range anxiety.

The development of the proposed improved ADAS includes comprehensive approaches to assess various factors affecting the accuracy and the reliability of the estimation of the remaining state of charge (SoC) and the remaining range of the EVs, which include: (i) the route information (the total distance, the speed, the acceleration, and the elevation), (ii) the environmental conditions (the ambient temperature, the wind speed and direction, the probability of the rain, and the road surface conditions), (iii) the vehicle characteristics (the vehicle dynamic weight, the dynamic efficiency of the drive system (EDS), (iv) the regenerative braking (RB) system efficiency, (iv) the auxiliary loads such as air-conditioning, windscreen wipers and lights, (iv) the traffic congestion, and (vi) the driver’s behavior in conjunction with the improvement of SoC...

This thesis is unavailable until Wednesday, May 05, 2021

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Unless otherwise indicated, the views expressed in this thesis are those of the author and do not necessarily represent the views of the University of Wollongong.