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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Journal of Multidisciplinary Applied Natural Science
Nasser, Eriko Nasemudin
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Control & Systems Engineering Electrical & Electronics Engineering Energy Environmental Science Immunology & microbiology Materials Science & Nanotechnology Mathematics Physics

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Numerical and experimental state of identification battery pack lithium-ion Anggraeni, Dewi; Sudiarto, Budi; Nasser, Eriko Nasemudin; Hasbi, Wahyudi; Natali, Yus; Priambodo, Purnomo Sidi
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 4: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i4.pp2623-2633

Abstract

Two key indicators of a battery management system (BMS) are the state of charge (SoC) and the state of health (SoH). Accurately estimating SoC is important to prevent potential issues. Additionally, space, computing time, and cost are important factors in hardware development. To address these considerations, the first-order extended Kalman filter (EKF) and adaptive extended Kalman filter (AEKF) models were selected due to their simpler data pre-processing and better accuracy. The study recommends using the first-order equivalent circuit model (ECM) method in conjunction with the EKF and AEKF algorithms due to their straightforward setup and efficient computational process. Analysis of the charge-discharge cycles shows that the AEKF method consistently outperformed the EKF method regarding SoC accuracy. Moreover, when given different initial SoC values, the AEKF method displayed superior SoC estimation accuracy compared to the EKF method. Moreover, while the accuracy of the EKF is diminished, the error value remains below 2.5% for up to 500 cycles. Additionally, the shorter computing time of the EKF method is a consideration for practical real-world implementation. Furthermore, experiments conducted over 500 cycles revealed that SoH estimation declined from 99.97% to 76.1947%, suggesting that the battery has reached the end of life (EOL) stage.
Assessing the Magnetic Shielding Effectiveness of Low Carbon Steel, Permalloy, and Mu-metal on Small Satellite Reaction Wheel Assemblies using Finite Element Analysis Susilo, Hogan Eighfansyah; Budiantoro, Poki Agung; Fitrianingsih, Ery; Mayditia, Hasan; Nasser, Eriko Nasemudin; Farmasiantoro, Adi; Fauzi, Ahmad; Slamet, Widodo; Tahir, Andi Mukhtar; Pratiwi, Nindhita
Journal of Multidisciplinary Applied Natural Science Articles in Press
Publisher : Pandawa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47352/jmans.2774-3047.354

Abstract

Magnetic cleanliness is essential for small satellites carrying sensitive payloads such as magnetometers and particle detectors. Reaction wheel assemblies (RWAs) represent a primary source of stray magnetic fields, requiring effective shielding under strict mass and volume constraints. This study uses three-dimensional finite element analysis (FEM) in ANSYS Maxwell to evaluate the shielding effectiveness (SE) of high-permeability alloys (Mu-metal and Permalloy 80) and low-carbon steels (AISI 1008/1010) at thicknesses of 1–3 mm, with aluminum 6061-T6 as a non-magnetic baseline, within a cylindrical RWA enclosure geometry. Results reveal a critical design trade-off: High-permeability alloys provide superior attenuation (>65 dB at 100 mm; residual field <150 nT) and high mass efficiency (>700 dB/kg) but saturate at low flux density (0.8 T) and are costly. Low-carbon steels offer moderate SE (34–40 dB) with far higher saturation tolerance (2.2 T), structural robustness, and lower cost. Thickness scaling shows diminishing returns beyond 2 mm for high-permeability materials, whereas steels improve more linearly. Rather than proposing a new shielding concept, this study applies an integrated FEM-based evaluation approach for small satellite platforms to consistently assess shielding effectiveness, nonlinear saturation behavior, thickness scaling, and mass efficiency of candidate materials within a reaction-wheel-representative geometry under identical boundary conditions.
Co-Authors Adi Farmasiantoro Budi Sudiarto Budiantoro, Poki Agung Dewi ANGGRAENI Fauzi Ahmad Muda Fitrianingsih, Ery Mayditia, Hasan Pratiwi, Nindhita Purnomo Sidi Priambodo Slamet Widodo Susilo, Hogan Eighfansyah Tahir, Andi Mukhtar Wahyudi Hasbi Yus Natali