scholarly journals Privacy-Preserving Billing Scheme against Free-Riders for Wireless Charging Electric Vehicles

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Xingwen Zhao ◽  
Jiaping Lin ◽  
Hui Li

Recently, scientists in South Korea developed on-line electric vehicle (OLEV), which is a kind of electric vehicle that can be charged wirelessly while it is moving on the road. The battery in the vehicle can absorb electric energy from the power transmitters buried under the road without any contact with them. Several billing schemes have been presented to offer privacy-preserving billing for OLEV owners. However, they did not consider the existence of free-riders. When some vehicles are being charged after showing the tokens, vehicles that are running ahead or behind can switch on their systems and drive closely for a free charging. We describe a billing scheme against free-riders by using several cryptographic tools. Each vehicle should authenticate with a compensation-prepaid token before it can drive on the wireless-charging-enabled road. The service provider can obtain compensation if it can prove that certain vehicle is a free-rider. Our scheme is privacy-preserving so the charging will not disclose the locations and routine routes of each vehicle. In fact, our scheme is a fast authentication scheme that anonymously authenticates each user on accessing a sequence of services. Thus, it can be applied to sequential data delivering services in future 5G systems.

2011 ◽  
Vol 13 (4) ◽  
pp. 159-166
Author(s):  
Jae-Jun Lee ◽  
Seung-Ki Ryu ◽  
Hak-Yong Moon ◽  
Soo-Ahn Kwon

Author(s):  
Hong Liang ◽  
Wenjiao Wang ◽  
Yunlei Sun ◽  
Min Zhong ◽  
Yuan Gao ◽  
...  

Author(s):  
Yiqi Gao ◽  
Theresa Lin ◽  
Francesco Borrelli ◽  
Eric Tseng ◽  
Davor Hrovat

Two frameworks based on Model Predictive Control (MPC) for obstacle avoidance with autonomous vehicles are presented. A given trajectory represents the driver intent. An MPC has to safely avoid obstacles on the road while trying to track the desired trajectory by controlling front steering angle and differential braking. We present two different approaches to this problem. The first approach solves a single nonlinear MPC problem. The second approach uses a hierarchical scheme. At the high-level, a trajectory is computed on-line, in a receding horizon fashion, based on a simplified point-mass vehicle model in order to avoid an obstacle. At the low-level an MPC controller computes the vehicle inputs in order to best follow the high level trajectory based on a nonlinear vehicle model. This article presents the design and comparison of both approaches, the method for implementing them, and successful experimental results on icy roads.


2021 ◽  
Author(s):  
Jie Li ◽  
Kejun Qian ◽  
Yafei Li ◽  
Yi Liu ◽  
Zifeng Liu ◽  
...  

This paper mainly studies the development and implementation of the positioning technology of the electric vehicle wireless charging coil, so as to accurately detect the position deviation of the receiving coil, so that the electric vehicle wireless charging system can provide electric energy for electric vehicles more efficiently. Based on the positioning method of electric vehicle based on three detection coils, this paper proposes a calculation method to describe the offset degree of coil based on fuzzy mathematics theory. The algorithm is verified by simulation and experiment, and the influence factors of the error accuracy and the source of the error are analyzed. The work done in this paper has a strong practical significance for the efficient realization of electric vehicle wireless energy transmission.


Author(s):  
Jianhang Liu ◽  
Xiao Sun ◽  
Hong Liang ◽  
Wenjiao Wang ◽  
Yunlei Sun ◽  
...  

2013 ◽  
Vol 11 (8) ◽  
pp. 2693-2709 ◽  
Author(s):  
A.I. González-Tablas ◽  
A. Alcaide ◽  
J.M. de Fuentes ◽  
J. Montero

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