The Proceedings of the Transportation and Logistics Conference
Online ISSN : 2424-3175
2018.27
Session ID : 1110
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Range Extension Autonomous Driving of Electric Vehicles Considering Multiple Traffic Signals
*Naoyuki OGAWAHiroshi FUJIMOTOYusuke TAKEDAKoji SATO
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Abstract
In recent years, the automobile industry has entered a historical turning point. Environmental problems such as global warming have attracted attention and electric vehicle (EVs) using an electric motor instead of a conventional internal combustion engine are attracting attention. However, electric vehicles have the disadvantage of short cruising range. The authors’ research group proposes Range Extension Autonomous Driving (READ) that extends the range by optimizing the velocity profile under the assumption that traffic signal information. It can be obtained from Intelligent Transport System (ITS). In a previous study of READ, only a single traffic signal was considered. However, considering the practical environment, multiple traffic signals should be considered. In this paper, we propose a method to realize velocity optimization which achieves minimization of total energy consumption by considering straight road with multiple traffic signals. The effectiveness of the proposed method is verified by simulations and experiments.
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© 2018 The Japan Society of Mechanical Engineers
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