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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Pengabdian Pada Masyarakat Journal of Robotics and Control (JRC) Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Feri Adriyanto
Universitas Sebelas Maret
Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Mechanical Engineering Other

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Constant current-fuzzy logic algorithm for lithium-ion battery charging Muhammad Nizam; Hari Maghfiroh; Azis Ubaidilah; Inayati Inayati; Feri Adriyanto
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i2.pp926-937

Abstract

The lithium-ion (Li-ion) battery has a high demand because of its long cycle, reliability, high energy density, low toxic, low self-discharge rate, high power density, and high efficiency. However, lithium-ion batteries have sensitivity to over-charge, temperature, and charge discharge currents. The conventional battery charging system takes a very long time to charge which makes the battery temperature high. Therefore, a charger system that can maximize charging capacity, shorten charging time, and extend battery life is needed. In this study, a battery charging system was developed using the constant current–fuzzy (CC-fuzzy) control method. The aim is to get faster charging time and maintain battery life by limiting the battery charging temperature. The proposed charger system is dual mode which can be operated in both buck and boost mode. The experimental result shows that the proposed method is superior compared to the constant current constant voltage (CCCV) method in charging time. The CC-fuzzy method charging time is faster compared to the CCCV method by 25% and 12.5% in buck and boost modes, respectively. Whereas from the battery temperature, in buck mode, the proposed method has a lower temperature by 0.5 ⁰C and in the boost mode, each method has the same temperature.
Performance Analysis of SM-MISO with Q-CSIT in Wireless Sensor Network Subuh Pramono; Muhammad Ibrahim; Feri Adriyanto; Alfin Hikmaturokhman
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1986

Abstract

In this paper, we investigate the role of Q-CSIT in SM-MISO for wireless sensor networks system. The SN are connected to the CH, it is modeled as a MISO system. Spatial modulation has an advantage over a conventional MIMO system which does not require multiple radio frequency chains as many as the number of transmit antennas. The Q-CSIT is aimed to estimate the faded wireless channel with a limited/finite number of bits. The finite number of feedback bits trigger the SN adapt automatically its AMC modes. Adaptation of the AMC modes causes a changing of transmit power and transmission rate, these changes will make a better probability of error. The numerical results show that bigger the number of feedback bits yields better SER. Furthermore, lower spatial correlation generates a better probability of error. The last, quality of wireless channel that is stated in SNR also dominantly influences the performance of SM – MISO system.
Pengenalan Teknologi Kendaraan Listrik untuk Siswa Sekolah Menengah Pertama (SMP) Hari Maghfiroh; Feri Adriyanto; Augustinus Sujono; Joko Slamet Saputro; R Lulus Lambang GH
Jurnal Pengabdian Pada Masyarakat Vol 6 No 1 (2021)
Publisher : Universitas Mathla'ul Anwar Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30653/002.202161.639

Abstract

INTRODUCTION TO ELECTRIC VEHICLE FOR JUNIOR HIGH SCHOOL STUDENTS. The purpose of this service program is to introduce junior high school students to electric vehicle technology. The material presented is basic material covering the meaning, benefits, and components of electric vehicles. The socialization was carried out via online due to the corona outbreak. The explanation is done with a short video consisting of a simple explanation as well as a demo of the components of a real electric vehicle with an electric bicycle. In addition, students are also given a short ebook on the material. To find out students' understanding, a short quiz about the material was given. The result is an average score of 83.9%, which indicates that the participants' level of understanding is quite good with the material presented. The sample of basic questions about electric vehicles showed that only 3.8% of students were wrong. In the final conclusion, students have gained knowledge about electric vehicles through socialization activities that have been carried out.
Implementasi Logika Fuzzy untuk Pengukuran SoC Baterai Mobil Listrik yang Akurat Muhammad Dzaky Ashidqi; Miftahul Anwar; Chico Hermanu B.A.; Agus Ramelan; Feri Adriyanto
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 3: Agustus 2021
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1396.668 KB) | DOI: 10.22146/jnteti.v10i3.1885

Abstract

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.
Fuzzy-PID in BLDC Motor Speed Control Using MATLAB/Simulink Hari Maghfiroh; Musyaffa’ Ahmad; Agus Ramelan; Feri Adriyanto
Journal of Robotics and Control (JRC) Vol 3, No 1 (2022): January
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v3i1.10964

Abstract

Brushless DC motors (BLDC) are one of the most widely used types of DC motors, both in the industrial and automotive fields. BLDC motor was chosen because it has many advantages over other types of electric motors. However, in its application in the market, most of the control systems used in BLDC motors still use conventional controls. This conventional method is easy and simple to apply but has many weaknesses, one example is that if the system state changes, then the parameters of the PID must also be changed so that static and dynamic performance will decrease, causing slow response and frequent oscillations. In this study, the design and simulation of a speed control system for BLDC motors using the Fuzzy-PID method were carried out. The research method is performed through simulation with Matlab / Simulink. The simulation is carried out by providing a speed setpoint input of 650 rpm and used 2 methods, namely Fuzzy-PID Logic and Pi conventional method which was carried out for 1 second. The test results show that the Fuzzy-PID control can provide better and more stable performance than the conventional PI control. The use of Fuzzy-PID control can reduce speed fluctuation and torque stability so that the BLDC motor can operate more efficiently and reliably.
Co-Authors Agus Ramelan Alfin Hikmaturokhman Augustinus Sujono Azis Ubaidilah Chico Hermanu B.A. Hari Maghfiroh Hari Maghfiroh Inayati Inayati Joko Slamet Saputro Miftahul Anwar Muhammad Dzaky Ashidqi Muhammad Ibrahim Muhammad Nizam Musyaffa’ Ahmad R Lulus Lambang GH Subuh Pramono