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

Sardjono Trihatmo, Gamantyo Hendrantoro, Reza Septiawan, Eko Setijadi, Arief Rufiyanto

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.

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References


B. Deutschmann, G. Winkler and P. Kastner, "Impact of electromagnetic interference on the functional safety of smart power devices for automotive applications," in e&i Elektrotechnik und Informationtechnik, Springer, 2018, pp. 352-359.

B. Stasiukiewicz and A. Becker, "UPDATE: Toyota documents show EMI as possible," Interference Technology, 19 March 2014. [Online]. Available: https://interferencetechnology.com/expertstoyota-documents-show-emi-inelectronics-as-possible-root-of-sudden-accelerationproblem/. [Accessed 28 November 2021].

D.A. Asfani, I.M.Y. Negara, Y.U. Nugraha, M.N. Yuniarto, A. Wikarta, I. Sidharta, "Electric vehicle research in Indonesia: A road map road tests and research challenges", IEEE Electrification Magazine, vol. 8, no. 2, pp. 44-51, 2020.

B. Sulistya , N. Taufik, F. Renaldy, A. Rufiyanto, S. Trihatmo, R. Sunandar, B.B. Irawan, R. Rahmatullah, A. Mundhola, R. Septiawan,” GNSS positioning performance monitoring of ADS-B stations for autonomous electric vehicle (autonomous electric vehicles) environment testing,” in 2022 International Seminar on Intelligent Technology and Its Applications (ISITIA), Surabaya, Indonesia, 2022.

A. N. Idris, D. Sathyamoorthy, A. M. Suldi and J. R. A. Hamid, "Effect of Radio Frequency Interference (RFI) on the Precision of GPS Relative Positioning," IOP Conf. Ser.: Earth Environ. Sci., vol. 18, 2014.

A. Rufiyanto, R. Septiawan, G. Hendrantoro, B. Sulistya, E. Setijadi and R. Saputra, "Evaluation Method for Selection of OATS Location for EV Radiated Emission Measurement Based on Electromagnetic Field Scanning," 2023 8th International Conference on Electrical, Electronics and Information Engineering (ICEEIE), Malang City, Indonesia, 2023, pp. 1-5, doi: 10.1109/ICEEIE59078.2023.10334832.

X. Zhao, Z. Ji, W. Chu, Y. Zhao, L. Yan, H. Zhou, Q. Liu and K. Huang, "Measurement and Analysis of Electromagnetic Environment Characteristics on Wangjiang Campus of Sichuan University," Radio Science, vol. 54, no. 7, pp. 633-645, 2019.

M. Cansiz, T. Abbasov, B. M. Kurt and R. A. Celik, "Mobile measurement of radio frequency electromagnetic field exposure level and statistical analysis," Measurement, vol. 86, pp. 159-164, 2016.

R. Tan, T. Wu, Z. Kun, S. Chen and S. Luo, "Method of data acquisition and map generation for radio frequency electromagnetic fields exposure level," in IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Compatibility (EMC/APEMC), Suntec City, Singapore, 2018.

G. Hendrantoro, Indrabayu, T. Suryani and A. Mauludiyanto, "A Multivariate Autoregressive Model of Rain Attenuation on Multiple Short Radio Links," in IEEE Antennas and Wireless Propagation Letters, vol. 5, pp. 54-57, 2006, doi: 10.1109/LAWP.2006.870362.

K. Kostoglou, A. D. Robertson, B. J. MacIntosh and G. D. Mitsis, "A Novel Framework for Estimating Time-Varying Multivariate Autoregressive Models and Application to Cardiovascular Responses to Acute Exercise," in IEEE Transactions on Biomedical Engineering, vol. 66, no. 11, pp. 3257-3266, Nov. 2019, doi: 10.1109/TBME.2019.2903012.

Takalo R, Hytti H, Ihalainen H. Tutorial on univariate autoregressive spectral analysis. J Clin Monit Comput. 2005 Dec;19(6):401-10. doi: 10.1007/s10877-005-7089-x. Epub 2006 Jan 25. Erratum in: J Clin Monit Comput. 2006 Oct;20(5):379. PMID: 16437291.

S. Wang, X. Luo and Y. Peng, "Spatial Downscaling of MODIS Land Surface Temperature Based on Geographically Weighted Autoregressive Model," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 2532-2546, 2020, doi: 10.1109/JSTARS.2020.2968809.

“Vehicles, boats and internal combustion engines – Radio disturbance characteristics – Limits and methods of measurement for the protection of on-board receivers.” CISPR 25:2016, Fourth edition, Geneva, Switzerland, March 2016.

S.Trihatmo, G.Hendrantoro, R. Septiawan, E. Setijadi, A. Rufiyanto, B. Sulitya,” Identification of potential electromagnetic disturbances at 2172 MHz in autonomous EV routes,” in IEEE International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, Surabaya, 2022.

J. Proakis, M. Salehi, G. Bauch, “Contemporary Communication System s Using MATLAB® “, Cengage Learning, 2013.




DOI: https://doi.org/10.12962/jaree.v8i1.387

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