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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 : mechatronics electrical power and vehicular technology

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Comparative Study Between Internal Ohmic Resistance and Capacity for Battery State of Health Estimation Ramadan, M. Nisvo; Pramana, Bhisma Adji; Widayat, Sigit Agung; Amifia, Lora Khaula; Cahyadi, Adha; Wahyunggoro, Oyas
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 6, No 2 (2015)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (661.588 KB) | DOI: 10.14203/j.mev.2015.v6.113-122

Abstract

In order to avoid battery failure, a battery management system (BMS) is necessary. Battery state of charge (SOC) and state of health (SOH) are part of information provided by a BMS. This research analyzes methods to estimate SOH based lithium polymer battery on change of its internal resistance and its capacity. Recursive least square (RLS) algorithm was used to estimate internal ohmic resistance while coloumb counting was used to predict the change in the battery capacity. For the estimation algorithm, the battery terminal voltage and current are set as the input variables. Some tests including static capacity test, pulse test, pulse variation test and before charge-discharge test have been conducted to obtain the required data. After comparing the two methods, the obtained results show that SOH estimation based on coloumb counting provides better accuracy than SOH estimation based on internal ohmic resistance. However, the SOH estimation based on internal ohmic resistance is faster and more reliable for real application
Comparative Study Between Internal Ohmic Resistance and Capacity for Battery State of Health Estimation M. Nisvo Ramadan; Bhisma Adji Pramana; Sigit Agung Widayat; Lora Khaula Amifia; Adha Cahyadi; Oyas Wahyunggoro
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 6, No 2 (2015)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2015.v6.113-122

Abstract

In order to avoid battery failure, a battery management system (BMS) is necessary. Battery state of charge (SOC) and state of health (SOH) are part of information provided by a BMS. This research analyzes methods to estimate SOH based lithium polymer battery on change of its internal resistance and its capacity. Recursive least square (RLS) algorithm was used to estimate internal ohmic resistance while coloumb counting was used to predict the change in the battery capacity. For the estimation algorithm, the battery terminal voltage and current are set as the input variables. Some tests including static capacity test, pulse test, pulse variation test and before charge-discharge test have been conducted to obtain the required data. After comparing the two methods, the obtained results show that SOH estimation based on coloumb counting provides better accuracy than SOH estimation based on internal ohmic resistance. However, the SOH estimation based on internal ohmic resistance is faster and more reliable for real application
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