Abstract
The distance transmission characteristic of electric vehicle ERPT system circuit is one of the most important systems. And the distance, between the vehicle receiving end and the ground transmitting end, directly affects the availability and marketization of the charging circuit. Therefore, it is necessary to study the distance characteristics in electric Car wireless charging system. In this paper, we study the distance transmission characteristics of electric vehicle ERPT system circuit by taking into account the relationship between the electrical parameters of the circuit and the horizontal distance, as well as vertical distance among the coils. With the constant voltage, power and load are regarded as the rated parameters, the Matlab/Simulink model is used for simulation analysis to verify the characteristic relationship between distance and system transmission efficiency. What’s more, we also studies the system frequency, the coil’s own parameters and the size of the capacitor. Totally, the importance of the distance characteristics is verified by analyzing these parameters, and lay a theoretical basis for future optimization programs.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Lu, W., Xu, S.: Wireless charging technology and its application in electric vehicles. Automob. Driv. Maint. (Maint. Ed.). (12), 110–111 (2018)
Wang, X., Zhang, H., Liu, Y.: Analysis on the efficiency of magnetic resonance coupling wireless charging for electric vehicles (2013)
Leemput, N., Geth, F., Van Roy, J., et al.: MV and LV residential grid impact of combined slow and fast charging of electric vehicles. Energies 8(3), 1760–1783 (2015)
Nazarloo, A., Feyzi, M.R., Sabahi, M., et al.: Improving voltage profile and optimal scheduling of vehicle to grid energy based on a new method. Adv. Electr. Comput. Eng. 18(1), 81–89 (2018)
Wang, R., Qu, W.: Wireless charging technology and its application in electric vehicles. Sci. Technol. Innov. Guide 29(1), 59 (2010)
Jiang, L., Hou, J., Chen, Z., Zhang, D.: Automatic image annotation based on decision tree machine learning. In: International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery. CyberC 2009 (2009)
Xu, Z., Li, H., Xue, P., Wen, B.: Analysis and verification of natural frequency of non-overlapping multi-layer fiber reinforced composite beams. J. Northeast. Univ. (Nat. Sci.) 39(11), 1619–1623 (2018)
Lijuan, C., Xiaohui., X.: Intelligent Power Technology. China Electric Power Press, Beijing (2011)
Zhao, X.: Magnetic Components Volume. Liaoning Science and Technology Press (2002)
Liu, F.: Modern High Frequency Switching Power Supply Technology and Application, p. 1. Publishing House of Electronics Industry, Beijing (2008)
Chen, W.: Research on Key Technologies of Resonant Radio Energy Transmission System. Nanjing University of Aeronautics and Astronautics (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Tang, H., Lu, L., Li, G. (2020). Analysis and Research on Distance Transmission Characteristics of Electric Vehicle EPRT System. In: Abawajy, J., Choo, KK., Islam, R., Xu, Z., Atiquzzaman, M. (eds) International Conference on Applications and Techniques in Cyber Intelligence ATCI 2019. ATCI 2019. Advances in Intelligent Systems and Computing, vol 1017. Springer, Cham. https://doi.org/10.1007/978-3-030-25128-4_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-25128-4_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-25127-7
Online ISBN: 978-3-030-25128-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)