Electro-Optical System for Evaluation of Dynamic Inductive Wireless Power Transfer to Electric Vehicles

  • Luiz A. Lisboa CardosoEmail author
  • Dehann Fourie
  • John J. Leonard
  • Andrés A. Nogueiras Meléndez
  • João L. Afonso
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 269)


Inductive lanes that can wirelessly transfer power to moving electric vehicles is a research theme of worldwide interest. The goal is to provide on-the-road recharging, thus extending vehicle’s autonomy and reducing battery capacity requirements. These lanes share, however, a common limitation: the power transfer is affected by the lateral displacement of the vehicle, with respect to the center of the lane. In the case of two-wheeled vehicles, such as electric scooters and bicycles, lateral inclination can also be pronounced enough as to interfere with power coupling. In order to experimentally evaluate the characteristics of such vehicular dynamic power transfer schemes, it is then necessary to synchronously log the vehicle’s electric data, lateral displacement and attitude. In this paper, the design and implementation of an electro-optical measuring system with these capabilities, based on Light Detection and Ranging (LIDAR) technology and inertial sensors, is reported. A testing range with specific reference geometry, consisting of a corridor of parallel walls, is used to simplify the continuous and accurate estimation of lateral displacement. The design was validated by statistical characterization of the measurement errors, using simulated trajectories. A prototype was built and mounted on a non-electric bicycle, with the first tests confirming its positioning measurement qualities.


Dynamic wireless power transfer Inductive lanes Vehicular power harvesting LIDAR-based positioning 



This research was partially supported by grant SFRH/BD/52349/2013 and project ESGRIDS – Enhancing Smart GRIDs for Sustainability, POCI-01-0145-FEDER-016434, both from FCT, the Portuguese funding agency supporting science, technology and innovation, and the MIT-Portugal Program. The authors are also thankful to R. Wiken, for his support with the mechanical implementation of the prototype at the MIT-CSAIL Machine Shop, to M. Brennan, for her generous donation of the bike used in the tests, and to L. Zvereva, who volunteered as a pilot in the first runs.


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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  • Luiz A. Lisboa Cardoso
    • 1
    • 2
    Email author
  • Dehann Fourie
    • 2
  • John J. Leonard
    • 2
  • Andrés A. Nogueiras Meléndez
    • 3
  • João L. Afonso
    • 1
  1. 1.Centro AlgoritmiUniversity of MinhoGuimarãesPortugal
  2. 2.Marine Robotics GroupMassachusetts Institute of TechnologyCambridgeUSA
  3. 3.Department of Electronics TechnologyUniversity of VigoVigoSpain

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