The 7th IFAC Symposium on Intelligent Autonomous Vehicles 2010

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The Lateral Position Estimation System for Autonomous Driving of the Online Electric Vehicle

Youjun Choi
KAIST Online Electric Vehicle Project
Korea, Republic Of

Sunjong Lee
KAIST Online Electric Vehicle Project
Korea, Republic Of

Jinkyu Kim
KAIST Online Electric Vehicle Project
Korea, Republic Of

Abstract:
The electric vehicle technologies such as developing pure, hybrid
electric vehicle, automated electric vehicle have been developed
since early 1900s. These tries have not succussed well, however,
because the cost and signal processing problem of the sensor and
cost, re-charing time and weight of battery problems. Hence to solve
these problem at the same time, we suggest the lateral position
estimation system for autonomous driving of the OLEV based on power
supply line. Since it is important to increase the efficiency of the
wireless power transfer in online electric vehicle system on
driving, we suggest a lateral position estimation system for
autonomous driving of the OLEV. This paper considers three parts: 1)
Introducing the OLEV system that is new concept of the electric
vehicle that is supplied the power from the road on driving. 2)
Sensing electric magnetic field on the Power supplied line that is
installed under the road to supply power to the electric vehicle
wirelessly. 3) Position estimation algorithm for finding the maximum
wireless power transfer position on the road and for moving the OLEV
automatically on the power supplied line.

 

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