An Autoregressive Model of Electromagnetic Disturbances in An Autonomous Electric Vehicle’s Route

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Published: Jan 31, 2024
DOI: https://doi.org/10.12962/jaree.v8i1.387

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Sardjono Trihatmo
Institut Teknologi Sepuluh Nopember (ITS)
Gamantyo Hendrantoro
Institut Teknologi Sepuluh Nopember (ITS)
Reza Septiawan
National Research and Innovation Agency
Eko Setijadi
Institut Teknologi Sepuluh Nopember
Arief Rufiyanto
Institut Teknologi Sepuluh Nopember

Abstract

Electromagnetic Interference (EMI) can cause a malfunction of on-board electronic circuits in an autonomous electric vehicle and supporting electronic devices located in the environment of autonomous electric vehicles as well. In order to navigate an autonomous electric vehicle safely, it is important to have electromagnetic field characteristic in the environment. Since the information of electromagnetic field characteristic is hard to find, it needs to be modeled. This paper presents a model of electromagnetic field characteristic that is generated by using autoregression in order to estimate potential EMI. The EMI estimation is based on electromagnetic characteristic in an environment. Unlike other applications that use time history of data to build a model, we present a spatial electromagnetic field strength data in a previous route to estimate the future data in a new route. To obtain historical data for auto-regression process, we measured electric field strengths along a circular route in a campus near Jakarta. This surrounding environment represents a typical area of suburbs. The input variables for auto-regression process are the first 27 correlated data of 155 measured data. The result shows that the use of 13 predictor coefficient produces a variance of prediction error near to zero, with an improvement from maximum prediction error of 15.1257 to prediction error of 0.1862.

Article Details

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Vol. 8 No. 1 (2024): January
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Articles

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Author Biographies

Sardjono Trihatmo, Institut Teknologi Sepuluh Nopember (ITS)

Departement of Electrical Engineering

Gamantyo Hendrantoro, Institut Teknologi Sepuluh Nopember (ITS)

Departement of Electrical Engineering

Reza Septiawan, National Research and Innovation Agency

Electronic Research Center

Eko Setijadi, Institut Teknologi Sepuluh Nopember

Departement of Electrical Engineering

Arief Rufiyanto, Institut Teknologi Sepuluh Nopember

Departement of Electrical Engineering

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