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All Journal Mechatronics, Electrical Power, and Vehicular Technology Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer Panrita Abdi - Jurnal Pengabdian pada Masyarakat Techne : Jurnal Ilmiah Elektroteknika Journal Technology and Implementation Bussines Kumawula: Jurnal Pengabdian Kepada Masyarakat Journal of Robotics and Control (JRC) Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi dan Terapan Bisnis Journal of Computer, Electronic, and Telecommunication (COMPLETE) BEMAS: Jurnal Bermasyarakat Jurnal Teknologi dan Terapan Bisnis BEGAWE: Jurnal Pengabdian Masyarakat
Lora Khaula Amifia
Institut Teknologi Telkom Surabaya
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Nursing Social Sciences Other

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Journal : Journal of Robotics and Control (JRC)

 1 
Direct Comparison using Coulomb Counting and Open Circuit Voltage Method for the State of Health Li-Po Battery Lora Khaula Amifia
Journal of Robotics and Control (JRC) Vol 3, No 4 (2022): July
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v3i4.15515

Abstract

Electric cars have undergone many developments in the current digital era. This is to avoid the use of increasingly scarce fuel. Recent studies on electric cars show that battery estimation is an interesting topic to be implemented directly. The battery estimation strategy is carried out by the Battery Management System (BMS). BMS is an indispensable part of electric vehicles or hybrid vehicles to ensure optimal and reliable operation of regulating, monitoring, and protecting batteries. A reliable BMS can extend battery life by setting voltage, temperature, and charging and discharging current limits. The main estimation strategy used by BMS is battery fault, SOH, and battery life. Battery State of Health (SOH) is part of the information provided by the BMS to avoid battery damage and failure. SOC is the proportion of battery capacity SOH is a measure of battery health. This study aims to develop a method for estimating SOH simultaneously using Coulomb Counting and Open Circuit Voltage (OCV) algorithms. The battery is modeled to obtain battery parameters and components of internal resistance, capacitance polarization and OCV voltage source. Several tests were implemented in this research by applying the constant current (CC)-charge CC-discharge test. The state-space system is then formed to apply the Coulomb Counting and OCV algorithms so that SOH can be estimated simultaneously. The OCV-SOC function is obtained in the form of a tenth order polynomial and the battery model parameters say that these parameters change with the health of the battery. The results of the model validation are able to accurately model the battery with an average relative error of 0.027%. Coulomb Counting resulted in an accurate SOH estimation with an error of 3.4%.
Evaluating the Battery Management System's Performance Under Levels of State of Health (SOH) Parameters Amifia, Lora Khaula; Kamali, Muhammad Adib
Journal of Robotics and Control (JRC) Vol 4, No 6 (2023)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v4i6.20401

Abstract

Batteries in electric vehicles are the primary focus battery health care. The Battery Management System (BMS) maintains optimal battery conditions by evaluating the system's Htate of health (SOH). SOH identification can recommend the right time to replace the battery to keep the electric vehicle system working optimally. With suitable title and accuracy, the battery will avoid failure and have a long service life. This research aims to produce estimates and identify SOH parameters so that the performance of the battery management system increases. The central parameter values obtained are R0, Rp, and Cp based on Thevenin battery modeling. Then, to get good initialization and accurate results, the parameter identification is completed using an adaptive algorithm, namely Coulomb Counting and Open Circuit Voltage (OCV). The two algorithms compare the identification results of error, MAE, RSME, and final SOH. The focus of this research is to obtain data on estimation error values along with information regarding reliable BMS performance. The performance of the current estimation algorithm is known by calculating the error, which is presented in the form of root mean square error (RMSE) and mean absolute error (MAE). The SOH estimation results using Coulomb Counting have a better error than OCV, namely 1.770%, with a final SOH value of 17.33%. The Thevenin battery model can model the battery accurately with an error of 0.0451%.
Co-Authors Abdulloh Hamid Nushfi Adha Cahyadi Adha Cahyadi, Adha Adha Imam Cahyadi Adiputra, Dimas Aditya Yudhistira Ahmad Habibi Al Madani Kurniawan, Aqsha Alfian Ma’arif Anifatul Faricha Anindya Rachma Dwicahyani ANNISA SALSABILA Annisa'ul Baroroh Ardiansyah Al Farouq Aulia Rahma Annisa Benazir Imam Arif Muttaqin Bhisma Adji Pramana Bhisma Adji Pramana, Bhisma Adji Bily Montolalu Bobby Rian Dewangga Dani Prasetyo Dio Ifan Auliya Dwi Edi Setyawan Dwi Nur Azizah Hamidah DWI SURYANTO Fathul Yaqin, Moch. Fikry Furizal, Furizal Harmoko Harmoko Hernadimas Alfattah Irfansah Wardhana Isa Hafidz Khodijah Amiroh M. Nisvo Ramadan M. Nisvo Ramadan, M. Nisvo Maghfiroh, Hari Moch. Bagus Indrastata Moch. Fauzan Rasyid Moch. Iskandar Riansyah Mohammad Fahmi Ilmi Yogianto Muhammad Adib Kamali Nanda Mesa Nur Aryabawa Nilna Agnia Nisa Isrofi Nuansa Dipa Bismoko Oyas Wahyunggoro Philip Tobianto Daely Putu Duta Putra Riyo Oktavian Pradana Robin Addwiyansyah Alfaro Samrat Satria Fajar Rachmadianto Shinvalraus Sains Raihan Kanzu Sigit Agung Widayat Sigit Agung Widayat, Sigit Agung Suwarno, Iswanto Ully Asfari Zunaidi, Rizqa Amelia