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PIER PIER B PIER C PIER M PIER Letters
2013-05-19
On-Road Magnetic Emissions Prediction of Electric Cars in Terms of Driving Dynamics Using Neural Networks
By
Ahmed Wefky,

    Mr. Ahmed Wefky

    Department of Electronics

    University of Alcala

    Spain

    Homepage

Felipe Espinosa,

    Dr. Felipe Espinosa

    Department of Electronics

    University of Alcala

    Spain

    Homepage

Frank Leferink,

    Dr. Frank Leferink

    University of Twente

    Homepage

Alfredo Gardel,

    Dr. Alfredo Gardel

    University of Alcala

    Spain

    Homepage

Robert Vogt-Ardatjew

    Dr. Robert Vogt-Ardatjew

    University of Twente

    Netherlands

    Homepage

Progress In Electromagnetics Research, Vol. 139, 671-687, 2013
doi:10.2528/PIER13040405
Abstract
This paper presents a novel artificial neural network (ANN) model estimating vehicle-level radiated magnetic emissions of an electric car as a function of the corresponding driving pattern. Real world electromagnetic interference (EMI) experiments have been realized in a semi-anechoic chamber using Renault Twizy. Time-domain electromagnetic interference (TDEMI) measurement techniques have been employed to record the radiated disturbances in the 150 kHz-30 MHz range. Interesting emissions have been found in the range 150 kHz-3.8 MHz approximately. The instantaneous vehicle speed and acceleration have been chosen to represent the vehicle operational modes. A comparative study of the prediction performance between different static and dynamic neural networks has been done. Results showed that a Multilayer Perceptron (MLP) model trained with extreme learning machines (ELM) has achieved the best prediction results. The proposed model has been used to estimate the radiated magnetic field levels of an urban trip carried out with a Think City electric car.
Citation
Ahmed Wefky, Felipe Espinosa, Frank Leferink, Alfredo Gardel, and Robert Vogt-Ardatjew, "On-Road Magnetic Emissions Prediction of Electric Cars in Terms of Driving Dynamics Using Neural Networks," Progress In Electromagnetics Research, Vol. 139, 671-687, 2013.
doi:10.2528/PIER13040405
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