Vol. 87
Latest Volume
All Volumes
PIERM 137 [2026] PIERM 136 [2025] PIERM 135 [2025] PIERM 134 [2025] PIERM 133 [2025] PIERM 132 [2025] PIERM 131 [2025] PIERM 130 [2024] PIERM 129 [2024] PIERM 128 [2024] PIERM 127 [2024] PIERM 126 [2024] PIERM 125 [2024] PIERM 124 [2024] PIERM 123 [2024] PIERM 122 [2023] PIERM 121 [2023] PIERM 120 [2023] PIERM 119 [2023] PIERM 118 [2023] PIERM 117 [2023] PIERM 116 [2023] PIERM 115 [2023] PIERM 114 [2022] PIERM 113 [2022] PIERM 112 [2022] PIERM 111 [2022] PIERM 110 [2022] PIERM 109 [2022] PIERM 108 [2022] PIERM 107 [2022] PIERM 106 [2021] PIERM 105 [2021] PIERM 104 [2021] PIERM 103 [2021] PIERM 102 [2021] PIERM 101 [2021] PIERM 100 [2021] PIERM 99 [2021] PIERM 98 [2020] PIERM 97 [2020] PIERM 96 [2020] PIERM 95 [2020] PIERM 94 [2020] PIERM 93 [2020] PIERM 92 [2020] PIERM 91 [2020] PIERM 90 [2020] PIERM 89 [2020] PIERM 88 [2020] PIERM 87 [2019] PIERM 86 [2019] PIERM 85 [2019] PIERM 84 [2019] PIERM 83 [2019] PIERM 82 [2019] PIERM 81 [2019] PIERM 80 [2019] PIERM 79 [2019] PIERM 78 [2019] PIERM 77 [2019] PIERM 76 [2018] PIERM 75 [2018] PIERM 74 [2018] PIERM 73 [2018] PIERM 72 [2018] PIERM 71 [2018] PIERM 70 [2018] PIERM 69 [2018] PIERM 68 [2018] PIERM 67 [2018] PIERM 66 [2018] PIERM 65 [2018] PIERM 64 [2018] PIERM 63 [2018] PIERM 62 [2017] PIERM 61 [2017] PIERM 60 [2017] PIERM 59 [2017] PIERM 58 [2017] PIERM 57 [2017] PIERM 56 [2017] PIERM 55 [2017] PIERM 54 [2017] PIERM 53 [2017] PIERM 52 [2016] PIERM 51 [2016] PIERM 50 [2016] PIERM 49 [2016] PIERM 48 [2016] PIERM 47 [2016] PIERM 46 [2016] PIERM 45 [2016] PIERM 44 [2015] PIERM 43 [2015] PIERM 42 [2015] PIERM 41 [2015] PIERM 40 [2014] PIERM 39 [2014] PIERM 38 [2014] PIERM 37 [2014] PIERM 36 [2014] PIERM 35 [2014] PIERM 34 [2014] PIERM 33 [2013] PIERM 32 [2013] PIERM 31 [2013] PIERM 30 [2013] PIERM 29 [2013] PIERM 28 [2013] PIERM 27 [2012] PIERM 26 [2012] PIERM 25 [2012] PIERM 24 [2012] PIERM 23 [2012] PIERM 22 [2012] PIERM 21 [2011] PIERM 20 [2011] PIERM 19 [2011] PIERM 18 [2011] PIERM 17 [2011] PIERM 16 [2011] PIERM 14 [2010] PIERM 13 [2010] PIERM 12 [2010] PIERM 11 [2010] PIERM 10 [2009] PIERM 9 [2009] PIERM 8 [2009] PIERM 7 [2009] PIERM 6 [2009] PIERM 5 [2008] PIERM 4 [2008] PIERM 3 [2008] PIERM 2 [2008] PIERM 1 [2008]
2019-12-18
Research on Efficiency Optimization of Rail Transit Wireless Power Transmission System Based on Electromagnetic Detection
By
Progress In Electromagnetics Research M, Vol. 87, 159-169, 2019
Abstract
In the installation of a dynamic wireless power transmission system of rail transit, the distance change among coils causes large power loss under high power conditions. Due to the limitation of detection surface and Doppler effect as well as other deficiencies, the traditional ranging methods cannot be adapted to fast, continuous, and large-area dynamic ranging in the wireless power transmission of rail transit. Therefore, the paper proposes a single coil dynamic wireless power efficiency optimization method based on electromagnetic induction for the first time. The distance between the transmitter and receiver is taken as the intermediate quantity, and the relationship between the detection coil amplitude and the wireless power transmission efficiency is constructed. Firstly, based on electromagnetic field theory, a quantitative relationship among the detection coil amplitude, wireless power transmission efficiency, and coil distance is established. Then detection experimental platform is designed. Finally, relevant experiments are accomplished through the established experimental platform. The experimental results show that for the area with low power transmission efficiency on the whole dynamic wireless power transmission line, relevant ranging data can be obtained by detecting the amplitude.
Citation
Yunzhi Lin, and Yixiong Lai, "Research on Efficiency Optimization of Rail Transit Wireless Power Transmission System Based on Electromagnetic Detection," Progress In Electromagnetics Research M, Vol. 87, 159-169, 2019.
doi:10.2528/PIERM19090703
References

1. An, Y., et al. "Building an omnidirectional 3D color laser ranging system througha novel calibration method," IEEE Transactions on Industrial Electronics, Vol. 66, 8821-8831, 2019.
doi:10.1109/TIE.2018.2890506        Google Scholar

2. Shi, G., W. Wang, and F. Zhang, "Precision improvement of frequency-modulated continuouswavelaser ranging system with two auxiliary interferometers," Optics Communications, Vol. 411, 152-157, 2018.
doi:10.1016/j.optcom.2017.11.062        Google Scholar

3. Andersone, I., "Probabilistic mapping with ultrasonic distance sensors," Procedia Computer Science, Vol. 104, 362-368, 2017.
doi:10.1016/j.procs.2017.01.146        Google Scholar

4. Tan, W. L., M. S. Vohra, and S. H. Yeo, "Depth and horizontal distance of surface roughness improvement on vertical surface of 3D-printed material using ultrasonic cavitation machining process with abrasive particles," Key Engineering Materials, Vol. 748, 264-268, 2017.
doi:10.4028/www.scientific.net/KEM.748.264        Google Scholar

5. Lai, Y., G.-Q. Liu, Z. Li, and Y. Lin, "Research on the method of seed water content measurement based on electromagnetic induction," Progress In Electromagnetics Research M, Vol. 74, 191-200, 2018.
doi:10.2528/PIERM18073002        Google Scholar

6. Liu, X.-F., B.-Z. Wang, and S.-Q. Xiao, "Electromagnetic subsurface detection using subspace signal processing and half-space dyadic Green’s function," Progress In Electromagnetics Research, Vol. 98, 315-331, 2009.
doi:10.2528/PIER09092902        Google Scholar

7. Von Brzeski, J. G. and V. von Brzeski, "Topological intensity shifts of electro-magnetic field in lobachevskian spaces. Olbers paradox solved, deep space communication, and the new electromagnetic method of gravitational wave detection," Progress In Electromagnetics Research, Vol. 43, 163-179, 2003.
doi:10.2528/PIER03032701        Google Scholar

8. Qu, X., Y. Li, G. Fang, and H. Yin, "A portable frequency domain electromagnetic system for shallow metal targets detection," Progress In Electromagnetics Research M, Vol. 53, 167-175, 2017.
doi:10.2528/PIERM16111603        Google Scholar

9. Huang, X., L. L. Tan, and Z. Chen, "Review and research progress on wireless power transfer technology," Transactions of China Electrotechnical Society, Vol. 28, 103-104, 2013.        Google Scholar

10. Zhang, J. and Y. Cui, "Research on reliability of magnetic resonance coupling wireless charging device with series-parallel model," Electrical & Energy Management, Vol. 5, 98-106, 2018.        Google Scholar

11. Mai, R. and Y. Li, "Wireless power transfer technology and its research progress in rail transportation," Journal of Southwest Jiaotong University, Vol. 51, 56-59, 2016.        Google Scholar

12. Zhang, X., "Research on maximum transmission efficiency of resonance coupling wireless transmission in high-speed train system," Transactions of China Electrotechnical Society, Vol. 30, 2015.        Google Scholar

13. Zhang, H., et al. "Cooperative precoding for wireless energy transfer and secure cognitive radio coexistence systems," IEEE Signal Processing Letters, Vol. 24, 540-544, 2017.
doi:10.1109/LSP.2017.2673871        Google Scholar

14. Jiang, C., K.-T. Chau, W. Han, and W. Liu, "Development of multilayer rectangular coils for multiple-receiver multiple-frequency wireless power transfer," Progress In Electromagnetics Research, Vol. 163, 15-24, 2018.
doi:10.2528/PIER18060206        Google Scholar

15. Kim, J., W.-S. Choi, and J. Jeong, "Loop switching technique for wireless power transfer using magnetic resonance coupling," Progress In Electromagnetics Research, Vol. 138, 197-209, 2013.
doi:10.2528/PIER13012118        Google Scholar

16. Kim, S., J. S. Ho, and A. S. Y. Poon, "Non-coil, optimal sources for wireless powering of submillimeter implantable devices," Progress In Electromagnetics Research, Vol. 158, 99-108, 2017.
doi:10.2528/PIER16092301        Google Scholar

17. Li, Z., S. Cheng, and Y. Qin, "Novel rotor position detection method of line back EMF for BLDCM," Electric Machines and Control, Vol. 14, 96-100, 2010.        Google Scholar

18. Kim, C. W., F. P. S. Chin, and H. K. Garg, "Selection of frequency for Near Field Electromagnetic Ranging (NFER) based on its Cramer-Rao bound," IEEE Signal Processing Letters, Vol. 14, 1000-1003, 2007.
doi:10.1109/LSP.2007.903274        Google Scholar

19. Wang, P., X.-T. Zhang, and L.-Y. Xu, "Indoor near field ranging algorithm based on adaptive time delay estimation," Chinese Journal of Computers, Vol. 40, 1902-1917, 2017.        Google Scholar

20. Evans, B. J. and L. M. Smith, "Cross-correlation-based method for determining the position and velocity of a railgun plasma armature from B-dot probe signals," IEEE Transactions on Plasma Science, Vol. 19, 926-934, 2002.
doi:10.1109/27.108435        Google Scholar

21. Wang, B., C. Zhang, and B. Liu, "Study on the class E amplifier of wireless energy transmission based on magnetic coupling resonance," Electronic Measurement Technology, Vol. 41, 41-44, 2018.        Google Scholar

22. Xu, D. and F. Lin, "Design of CMOS class E power amplifier based on bootstrap cascode," Electronic Technology, Vol. 47, 78-81, 2018.        Google Scholar

23. Zhang, J. G., W. Xin, Y. Z. Qi, et al. "Investigation on time domain coded electromagnetic exploration method," Journal of Radars, Vol. 3, 158-165, 2014.        Google Scholar