Crosstalk Prediction of Handmade Cable Bundles for New Energy Vehicles

Authors

  • Jinghua Guo School of Intelligent Manufacturing Wuxi Vocational College of Science and Technology, Wuxi, Jiangsu, 214028, China
  • Yuanyuan Liu 1School of Intelligent Manufacturing Wuxi Vocational College of Science and Technology, Wuxi, Jiangsu, 214028, China, 2School of IoT Engineering Jiangnan University, Wuxi, Jiangsu, 214122, China

DOI:

https://doi.org/10.13052/2021.ACES.J.361014

Keywords:

Hand made cable bundles, crosstalk, multiconductor transmission line, electromagnetic interference, finite-difference time-domain (FDTD).

Abstract

This paper presents an effective solution for the crosstalk prediction of hand made cable bundles. The outer- and inner- layer topology of the cross section are analyzed respectively, combined with the actual physical model of the cable bundles. The cascading method is used to deal with the relationship between the structure of cable bundles and the distributed per unit length (p.u.l.) parameter matrices. The random exchange of the wires in the cable bundles is equivalent to the row-column transformation of the p.u.l. parameter matrix, and the values of the p.u.l. parameter matrix after the transformation are modified by equal interval rotation degree. Then, the unconditionally stable finite difference time domain (FDTD) method is used to solve the crosstalk. The verification analysis shows that the change of the element value of the p.u.l. parameter matrix caused by the rotation of the cross section relative to the ground can not be ignored. The accuracy of the proposed method is evaluated through comparison to the probability method for a seven-core hand made cable bundles, especially in the high frequency.

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Author Biographies

Jinghua Guo, School of Intelligent Manufacturing Wuxi Vocational College of Science and Technology, Wuxi, Jiangsu, 214028, China

Jinghua Guo graduated from Northeast Agricultural University in July 1989, majoring in mechanization. He is currently an associate professor in Wuxi Vocational College of Science and Technology. Mr. Guo’s current research directions are automotive electricians & electronics, automotive electromagnetic compatibility, automotive electronic control technology, automotive network technology, and new energy vehicles.

Yuanyuan Liu, 1School of Intelligent Manufacturing Wuxi Vocational College of Science and Technology, Wuxi, Jiangsu, 214028, China, 2School of IoT Engineering Jiangnan University, Wuxi, Jiangsu, 214122, China

Yuanyuan Liu was born in Shandong, China, in 1983. She received her B.S. degree in mechanical manufacturing and automation from Shandong University of Technology, Zibo, China, in 2004, M.S. degree in mechanical manufacturing and automation from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2007. Ms. Liu is currently pursuing Ph.D. in control theory and control engineering in Jiangnan University, Wuxi, China. She is also an associate professor in Wuxi Vocational College of Science and Technology. Her current research interests include electric control technology and wireless power transfer technology of electric vehicles.

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Published

2021-11-23

How to Cite

[1]
J. Guo and Y. . Liu, “Crosstalk Prediction of Handmade Cable Bundles for New Energy Vehicles”, ACES Journal, vol. 36, no. 10, pp. 1376–1383, Nov. 2021.

Issue

2021: Vol 36 Iss 10

Section

General Submission