Fuzzy Logic Implementation for Accurate Electric Car Battery SoC Measurement

Changes in temperature can affect the accuracy of the estimated SoC value based on voltage. In this study, fuzzy logic was implemented to correct the SoC estimation error caused by the influence of temperature. The system acquired data through sensors and then processed it using the Arduino microcon...

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Autores principales:	Muhammad Dzaky Ashidqi, Miftahul Anwar, Chico Hermanu B.A., Agus Ramelan, Feri Adriyanto
Formato:	article
Lenguaje:	EN ID
Publicado:	Universitas Gadjah Mada 2021
Materias:	baterai suhu state of charge (soc) fuzzy logic Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/6be60f9d789e4b05a7eaeb58b6f05122
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id	oai:doaj.org-article:6be60f9d789e4b05a7eaeb58b6f05122
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spelling	oai:doaj.org-article:6be60f9d789e4b05a7eaeb58b6f051222021-11-17T03:54:12ZFuzzy Logic Implementation for Accurate Electric Car Battery SoC Measurement2301-41562460-571910.22146/jnteti.v10i3.1885https://doaj.org/article/6be60f9d789e4b05a7eaeb58b6f051222021-08-01T00:00:00Zhttps://jurnal.ugm.ac.id/v3/JNTETI/article/view/1885https://doaj.org/toc/2301-4156https://doaj.org/toc/2460-5719Changes in temperature can affect the accuracy of the estimated SoC value based on voltage. In this study, fuzzy logic was implemented to correct the SoC estimation error caused by the influence of temperature. The system acquired data through sensors and then processed it using the Arduino microcontroller. Parameters in the form of voltage, temperature, and current were processed by Arduino with a fuzzy logic program which was uploaded into it and produced the output of the estimated SoC value. From the observations, it was found that the estimated SoC value from this method had better accuracy with a smaller error than the SoC estimation based on voltage alone. Using the RMSE method, the errors calculated in this method in the process of charging and discharging without running were 2.26 and 7.74, while the SoC estimation error based on voltage alone reached 4.88 and 12.8. In the discharging process with a running car, the SoC estimation results using fuzzy logic also showed accurate results. There was only 1% of SoC value increasing pattern during the discharging process, which the value trend should continue to decrease and should not be an increase. In addition, compared to the previous method applied to the same research object, namely the chemical equilibrium constant method, this method also showed more accurate results.Muhammad Dzaky AshidqiMiftahul AnwarChico Hermanu B.A.Agus RamelanFeri AdriyantoUniversitas Gadjah Madaarticlebateraisuhustate of charge (soc)fuzzy logicEngineering (General). Civil engineering (General)TA1-2040ENIDJurnal Nasional Teknik Elektro dan Teknologi Informasi, Vol 10, Iss 3, Pp 257-264 (2021)
institution	DOAJ
collection	DOAJ
language	EN ID
topic	baterai suhu state of charge (soc) fuzzy logic Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	baterai suhu state of charge (soc) fuzzy logic Engineering (General). Civil engineering (General) TA1-2040 Muhammad Dzaky Ashidqi Miftahul Anwar Chico Hermanu B.A. Agus Ramelan Feri Adriyanto Fuzzy Logic Implementation for Accurate Electric Car Battery SoC Measurement
description	Changes in temperature can affect the accuracy of the estimated SoC value based on voltage. In this study, fuzzy logic was implemented to correct the SoC estimation error caused by the influence of temperature. The system acquired data through sensors and then processed it using the Arduino microcontroller. Parameters in the form of voltage, temperature, and current were processed by Arduino with a fuzzy logic program which was uploaded into it and produced the output of the estimated SoC value. From the observations, it was found that the estimated SoC value from this method had better accuracy with a smaller error than the SoC estimation based on voltage alone. Using the RMSE method, the errors calculated in this method in the process of charging and discharging without running were 2.26 and 7.74, while the SoC estimation error based on voltage alone reached 4.88 and 12.8. In the discharging process with a running car, the SoC estimation results using fuzzy logic also showed accurate results. There was only 1% of SoC value increasing pattern during the discharging process, which the value trend should continue to decrease and should not be an increase. In addition, compared to the previous method applied to the same research object, namely the chemical equilibrium constant method, this method also showed more accurate results.
format	article
author	Muhammad Dzaky Ashidqi Miftahul Anwar Chico Hermanu B.A. Agus Ramelan Feri Adriyanto
author_facet	Muhammad Dzaky Ashidqi Miftahul Anwar Chico Hermanu B.A. Agus Ramelan Feri Adriyanto
author_sort	Muhammad Dzaky Ashidqi
title	Fuzzy Logic Implementation for Accurate Electric Car Battery SoC Measurement
title_short	Fuzzy Logic Implementation for Accurate Electric Car Battery SoC Measurement
title_full	Fuzzy Logic Implementation for Accurate Electric Car Battery SoC Measurement
title_fullStr	Fuzzy Logic Implementation for Accurate Electric Car Battery SoC Measurement
title_full_unstemmed	Fuzzy Logic Implementation for Accurate Electric Car Battery SoC Measurement
title_sort	fuzzy logic implementation for accurate electric car battery soc measurement
publisher	Universitas Gadjah Mada
publishDate	2021
url	https://doaj.org/article/6be60f9d789e4b05a7eaeb58b6f05122
work_keys_str_mv	AT muhammaddzakyashidqi fuzzylogicimplementationforaccurateelectriccarbatterysocmeasurement AT miftahulanwar fuzzylogicimplementationforaccurateelectriccarbatterysocmeasurement AT chicohermanuba fuzzylogicimplementationforaccurateelectriccarbatterysocmeasurement AT agusramelan fuzzylogicimplementationforaccurateelectriccarbatterysocmeasurement AT feriadriyanto fuzzylogicimplementationforaccurateelectriccarbatterysocmeasurement
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Fuzzy Logic Implementation for Accurate Electric Car Battery SoC Measurement

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