Uncertainty Quantification and Optimal Design of EV-WPT System Efficiency based on Adaptive Gaussian Process Regression

Authors

  • Xinlei Shang College of Instrument and Electrical Engineering, Jilin University, Changchun, 130026, China
  • Linlin Xu College of Instrument and Electrical Engineering, Jilin University, Changchun, 130026, China
  • Quanyi Yu College of Instrument and Electrical Engineering, Jilin University, Changchun, 130026, China
  • Bo Li College of Instrument and Electrical Engineering, Jilin University, Changchun, 130026, China
  • Gang Lv EMC Department National Automotive Quality Supervision and Inspection Center, Changchun, 130011, China
  • Yaodan Chi Jilin Provincial Key Laboratory of Architectural Electricity and Comprehensive Energy Saving, Jilin Jianzhu University Changchun, 130118, China
  • Tianhao Wang College of Instrument and Electrical Engineering, Jilin University, Changchun, 130026, China

DOI:

https://doi.org/10.13052/2023.ACES.J.381202

Keywords:

Adaptive Gaussian process regression (aGPR), electric vehicle (EV), optimal design, uncertainty quantification (UQ), wireless power transfer (WPT)

Abstract

Wireless power transfer (WPT) is a safe, convenient, and intelligent charging solution for electric vehicles. To address the problem of the susceptibility of transmission efficiency to large uncertainties owing to differences in coil and circuit element processing and actual driving levels, this study proposes the use of adaptive Gaussian process regression (aGPR) for the uncertainty quantification of efficiency. A WPT system efficiency aGPR surrogate model is constructed with a set of selected small-sample data, and the confidence interval and probability density function of the transmission efficiency are predicted. Finally, the reptile search algorithm is used to optimize the structure of the WPT system to improve efficiency.

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Author Biographies

Xinlei Shang, College of Instrument and Electrical Engineering, Jilin University, Changchun, 130026, China

Xinlei Shang received the B.S. degree, the M.S. degree and the Ph.D. degree in Test and Measurement Technology and Instrumentation from Jilin University, Changchun, Jilin, China, in 2004, 2007 and 2010, respectively.

He is currently a professor with the College of Instrumentation and Electrical Engineering, Jilin University. His research interest includes nuclear magnetic resonance and transient electromagnetism.

Linlin Xu, College of Instrument and Electrical Engineering, Jilin University, Changchun, 130026, China

Linlin Xu received the B.S. degree in electrical engineering and automation from the College of Instrumentation and Electrical Engineering, Jilin University, Changchun, Jilin, China, in 2020, where she is currently pursuing the M.S. degree in electrical engineering.

Her research interests include electromagnetic safety and electromagnetic compatibility of wireless charging systems in electric vehicles.

Quanyi Yu, College of Instrument and Electrical Engineering, Jilin University, Changchun, 130026, China

Quanyi Yu received the B.S. degree from the College of Communication Engineering, Jilin University, Changchun, Jilin, China, in 2016, the M.S. degree from College of Instrumentation and Electrical Engineering, Jilin University, Jilin, China, in 2020, where he is currently pursuing the Ph.D. degree in measurement technology and instruments.

His research interests include the uncertainty quantification and electromagnetic compatibility of wireless power transfer of EVs.

Bo Li, College of Instrument and Electrical Engineering, Jilin University, Changchun, 130026, China

Bo Li received a B.S. degree in electrical engineering and automation from College of Instrumentation and Electrical Engineering, Jilin University, Changchun, Jilin, China, in 2020. He is currently studying for a M.S. degree in electrical Engineering from the College of Instrumentation and Electrical Engineering, Jilin University.

His research interests include uncertainty analysis, wireless power transfer, magnetic resonance, and human protection.

Gang Lv, EMC Department National Automotive Quality Supervision and Inspection Center, Changchun, 130011, China

Gang Lv received the master degree of electronic circuit and system in college of electronic science & engineering, Jilin University, Changchun, Jilin, China, in 2008. He came on board into National Automotive Quality supervision & Inspection Center (Changchun) after graduated. He is currently the head of the EMC department. He is mainly in charge of the EMC performance in vehicle type approval under the direction of Ministry of Industry and Information Technology (MIIT) and Certification and Accreditation Administration of the P.R.C.

He always focuses on test methods improving and National Standards edit and amendment in EMC domain. He has joined teams to be responsible for EMC part of “Test and Evaluation of autonomous electric vehicle” subject which is released by Ministry of Science and Technology (MOST) and “Research on real-time concurrent Simulation test technology of Multi-source Sensor information of Intelligent Networked Vehicle” which is released by Science and Technology Department of Jilin Province.

Yaodan Chi, Jilin Provincial Key Laboratory of Architectural Electricity and Comprehensive Energy Saving, Jilin Jianzhu University Changchun, 130118, China

Yaodan Chi received the B.S. degree in electronic information engineering from the Jilin University of Technology, Changchun, Jilin, China, in 1998, and the master’s degree in testing and measuring technology and instruments and the Ph.D. degree in science and technology of instrument from Jilin University, Changchun, Jilin, China, in 2004 and 2018, respectively. She is currently the Vice Director of the Jilin Provincial Key Laboratory of Architectural Electricity and Comprehensive Energy Saving.

Her research interests include the uncertainty analysis approaches in electromagnetic compatibility simulation and building equipment intelligent integration technology.

Tianhao Wang, College of Instrument and Electrical Engineering, Jilin University, Changchun, 130026, China

Tianhao Wang received the B.S. degree in electrical engineering and the Ph.D. degree in vehicle engineering from Jilin University, Changchun, Jilin, China, in 2010 and 2016, respectively.

From 2016 to 2019, he was a Postdoctoral Researcher with the Department of Science and Technology of Instrument, Changchun, Jilin University. He is currently an associate professor with the College of Instrumentation and Electrical Engineering, Jilin University. His research interest includes the uncertainty quantification of wireless power transfer of EVs and human electromagnetic exposure safety.

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Published

2023-12-30

How to Cite

[1]
X. Shang, “Uncertainty Quantification and Optimal Design of EV-WPT System Efficiency based on Adaptive Gaussian Process Regression”, ACES Journal, vol. 38, no. 12, pp. 929–940, Dec. 2023.

Issue

2023: Vol 38 Iss 12

Section

General Submission

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