Reduced Modeling for Electromagnetic Coupling to Randomly Wiring Automotive Cable Harness

Authors

  • Pei Xiao College of Electrical and Information Engineering, Hunan University, Changsha 410012, China
  • Jiawei Li College of Electrical and Information Engineering, Hunan University, Changsha 410012, China
  • Chao Zhang College of Electrical and Information Engineering, Hunan University, Changsha 410012, China
  • Jinxin Li 2) College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China 3) State Key Laboratory of Millimeter Waves, Southeast University Nanjing, Jiangsu 210096, China
  • Gaosheng Li College of Electrical and Information Engineering, Hunan University, Changsha 410012, China

DOI:

https://doi.org/10.13052/2022.ACES.J.370308

Keywords:

Random wiring, Automotive cable harness, Simplification modeling, EM coupling, Stochastic process

Abstract

The random wiring of automotive cable harness makes electromagnetic compatibility (EMC) analysis of the whole vehicle very complicated; thus, this paper proposes a simplification modeling technique to model the electromagnetic (EM) illumination on automotive cable harness. First, the stochastic process theory is applied to determine the cable route in a randomly bundling way. Then, the inductance and capacitance parameters of the cable harness at different location are established according to multiconductor transmission lines network (MTLN) theory. On this basis, the simplification modeling technique is developed to generate the electrical and geometrical parameters of the equivalent cable model. Finally, a model of shielded nine-conductor with randomly twisted and a model of unshielded nine-conductor with stochastic wiring in the vehicle are performed to validate the proposed approach by full-wave simulation. The presented method simplifies the complexity of modeling the complete cable harness significantly with a good accuracy.

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Author Biographies

Pei Xiao, College of Electrical and Information Engineering, Hunan University, Changsha 410012, China

Pei Xiao was born in Shaoyang, Hunan province, China, in 1989. He received the bachelor’s and Ph.D. degrees in mechanical engineering from the University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2013 and 2019, respectively.

He is currently a Postdoctoral Research Fellow with Hunan University. His research interests are numerical computation, theoretical electromagnetic analysis including the antennas, EMC/EMI in multiconductor transmission line, power electronic device, and electric vehicle.

Jiawei Li, College of Electrical and Information Engineering, Hunan University, Changsha 410012, China

Jiawei Li was born in Yueyang, Hunan province, China, in 1997. He received the bachelor’s degree from the College of Physics and Information Engineering, Fuzhou University, Fuzhou, China, in 2019. He is currently working toward the postgraduate degree with the College of Electrical and Information Engineering, HunanUniversity.

His research interest includes EMC.

Chao Zhang, College of Electrical and Information Engineering, Hunan University, Changsha 410012, China

Chao Zhang was born in Huaihua, Hunan province, China, in April 1991. He received the B.S. degree in communication and information engineering from Huaihua College in 2014 and the M.S. degree in electromagnetic field and microwave technologies from Shanghai University in 2018. He is currently working toward the Ph.D. degree in electronic science and technology with Hunan University, Changsha, China.

He has authored or co-authored more than 10 research papers in international academic journals and international conferences. His current research interests include antenna technology, EMC, and plasmonic metamaterials and devices at microwave and terahertz frequencies.

Jinxin Li, 2) College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China 3) State Key Laboratory of Millimeter Waves, Southeast University Nanjing, Jiangsu 210096, China

Jinxin Li received the B.S. degree in electronic information science and technology in 2008 and the Ph.D. degree in electromagnetic field and microwave technology in 2017 from the University of Electronic Science and Technology of China (UESTC), Chengdu, China. From 2015 to 2016, he was a Visiting Ph.D. Student with the

Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA.

He has been an Assistant Professor with Hunan University since 2017. His research interests include antennas, antenna arrays, metamaterials, and passive devices and circuit.

Gaosheng Li, College of Electrical and Information Engineering, Hunan University, Changsha 410012, China

Gaosheng Li (Senior Member, IEEE) received the B.S. degree in electromagnetic field and microwave and the M.S. and Ph.D. degrees in electronic science and technology from the National University of Defense Technology (NUDT), Changsha, China, in 2002, 2004, and 2013, respectively.

He was with NUDT as a Teaching Assistant from 2004 to 2006, a Lecturer from 2006 to 2011, and then as an Associate Professor from 2011 to 2017. He joined Hunan University as a Professor in 2018. From 2014 to 2016, he was with the Nanjing University of Aeronautics and Astronautics (NUAA) and Wuxi Huace Electronic Systems Co., Ltd., China as a Postdoctoral Research Fellow. From 2016 to 2017, he was a Visiting Scholar with the University of Liverpool (UoL), U.K., sponsored by China Scholarship Council (CSC). His research interests include antennas and propagation (AP), electromagnetic compatibility (EMC), wireless propagation, and microwave systems.

Prof. Li is the author or coauthor of 7 books and 150 papers published in journals and conference proceedings. He owns 30 Chinese patents and 10 software copyrights. He won three national scientific prizes in 2008, 2013, and 2015, respectively. He is now a Senior Member (2019) of the IEEE AP Society and EMC Society, a Member (2016) of IET, a Member (2017) of ACES, a Member (2011) of IEICE, as well as a Senior Member (2014) of the Chinese Institute of Electronics (CIE).

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Published

2022-03-31

How to Cite

[1]
P. . Xiao, J. . Li, C. . Zhang, J. . Li, and G. . Li, “Reduced Modeling for Electromagnetic Coupling to Randomly Wiring Automotive Cable Harness”, ACES Journal, vol. 37, no. 03, pp. 311–319, Mar. 2022.

Issue

2022: Vol 37 Iss 3

Section

General Submission