Advertisement

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)

Abstract

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.

Keywords

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

Notes

Acknowledgments

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.

References

  1. 1.
    Mi, C.C., Buja, G., Choi, S.Y., Rim, C.T.: Modern advances in wireless power transfer systems for roadway powered electric vehicles. IEEE Trans. Ind. Electron. 63, 6533–6545 (2016)CrossRefGoogle Scholar
  2. 2.
    Song, K., Koh, K.E., Zhu, C., et al.: A review of dynamic wireless power transfer for in-motion electric vehicles. In: Coca, E. (ed.) Wireless Power Transfer. IntechOpen, Rijeka (2016)Google Scholar
  3. 3.
    Yu, R., Zhong, W., Xie, S., et al.: Balancing power demand through EV mobility in vehicle-to-grid mobile energy networks. IEEE Trans. Ind. Inform. 12, 79–90 (2016)CrossRefGoogle Scholar
  4. 4.
    Covic, G.A., Boys, J.T., Budhia, M., Huang, C.: Electric vehicles – personal transportation for the future. World Electr. Veh. J. 4, 693–704 (2010)CrossRefGoogle Scholar
  5. 5.
    Ahn, S., Cho, D.-H.: Future wireless power transportation system. In: 2013 Asia-Pacific Microwave Conference Proceedings (APMC), pp. 468–469 (2013)Google Scholar
  6. 6.
    Bosshard, R., Kolar, J.W.: Inductive power transfer for electric vehicle charging. IEEE Power Electron. Mag. 22–30 (2016).  https://doi.org/10.1109/mpel.2016.2583839CrossRefGoogle Scholar
  7. 7.
    Mazharov, N.D., Hristov, S.M., Dichev, D.A., Zhelezarov, I.S.: Some problems of dynamic contactless charging of electric vehicles. Acta Polytech. Hungarica 14, 7–26 (2017)Google Scholar
  8. 8.
    Laporte, S., Coquery, G., Revilloud, M., Deniau, V.: Experimental performance assessment of a dynamic WPT system for future EV in real driving conditions. In: 3rd Workshop on EV Systems, Data, and Applications (EV-Sys 2018), Proceedings of the 9th ACM International Conference on Future Energy Systems, Karlsruhe, Germany, pp. 570–578 (2018)Google Scholar
  9. 9.
    Feng, Y., Wang, J.: GPS RTK performance characteristics and analysis. J. Glob. Position Syst. 7, 1–8 (2008)CrossRefGoogle Scholar
  10. 10.
    Supej, M., Čuk, I.: Comparison of global navigation satellite system devices on speed tracking in road (Tran)SPORT applications. Sensors 14, 23490–23508 (2014)CrossRefGoogle Scholar
  11. 11.
    Leica Geosystems AG: Leica GS18 T Data sheet, pp. 1–2 (2017)Google Scholar
  12. 12.
    Lightbody, P., Krajník, T., Hanheide, M.: A versatile high-performance visual fiducial marker detection system with scalable identity encoding. In: Proceedings of the Symposium on Applied Computing, pp. 276–282. ACM, Marrakech (2017)Google Scholar
  13. 13.
    Mossel, A.: Robust 3D position estimation in wide and unconstrained indoor environments. Sensors 15, 31482–31524 (2015).  https://doi.org/10.3390/s151229862CrossRefGoogle Scholar
  14. 14.
    Association française de normalisation (AFNOR): European Standard NF EN 15194(2009)Google Scholar
  15. 15.
    Cardoso, L.A.L., Martinez, M.C., Melendez, A.A.N., Afonso, J.L.: Dynamic inductive power transfer lane design for e-bikes. In: 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), pp. 2307–2312 (2016)Google Scholar
  16. 16.
    Freund, H.-J.: Time control of hand movements. Prog. Brain Res. 64, 287–294 (1986)CrossRefGoogle Scholar
  17. 17.
    Thrun, S., Leonard, J., Siciliano, B., Khatib, O.: Simultaneous localization and mapping. In: Siciliano, B., Khatib, O. (eds.) Springer Handbook of Robotics, pp. 871–889. Springer, Heidelberg (2008).  https://doi.org/10.1007/978-3-540-30301-5_38CrossRefGoogle Scholar
  18. 18.
    Brown, D.: Tracker - Video Analysis and Modeling Tool, version 5.0.6 (2018)Google Scholar

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

Personalised recommendations