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A Teaching Case of Electronic Circuit Experiment with Virtual–Real Practice for EV-Battery Magnetic-Field Imaging
编号：53 访问权限：仅限参会人 更新：2026-09-20 10:59:07 浏览：3次 口头报告

报告开始：暂无开始时间（Asia/Shanghai）

报告时间：暂无持续时间

所在会场：[暂无会议] [暂无会议段]

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摘要
This paper presents a virtual-real integrated teaching case for electronic circuit experiments, targeting the practical application of magnetic sensing, deep learning, signal denoising and two-dimensional imaging in electric vehicle battery detection. Combining physical hardware platforms with algorithm-driven virtual simulation, the case adopts a real battery test scenario and a safe, reusable low-voltage PCB experimental device for circuit practical training. Students first collect environmental noise data under zero-current excitation to train channel-adaptive conditional diffusion models. The pre-trained models are utilized to suppress noise in current-excited measurement data and restore effective magnetic field signals. Finally, denoised data are spatially fused to generate two-dimensional pseudo-color magnetic field images. This integrated experimental workflow enables students to explore the relationships among experimental parameters, model performance and imaging results, helping them build a systematic cognition of intelligent engineering detection technologies.
关键词
Electronic Circuit Experiment,Virtual Real Practice,Electric Vehicle Power Battery,Magnetic Field Imaging,Signal Denoising
报告人
Zongze Qiu
Student Anhui University

稿件作者
Xaioxian Wang Anhui University
Zongze Qiu Anhui University
Haibin Zhang Ltd.；Anhui Zhihuan Technology Co.
Siliang Lu Anhui University
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重要日期

  • 会议日期

    11月06日

    2026

    至

    11月08日

    2026

  • 10月15日 2026

    初稿截稿日期

主办单位
IEEE Instrumentation and Measurement Society
承办单位
Sichuan University
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