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Correlation Analysis of Battery Capacity, Range, and Charging Time in Electric Vehicles Using Pearson Correlation and MATLAB Regression Yasa Sanusi; Sri Pudjiwati; Kontan Tarigan; Dianta Ginting; Farrah Anis Fazliatun Adnan; Gerald Ensang Timuda; Nono Darsono; Nuwong Chollacoop; Deni Shidqi Khaerudini
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol. 7 No. 3 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v7i3.31800

Abstract

The increasing adoption of electric vehicles (EVs) reflects growing global awareness of climate change and air pollution challenges. As a sustainable alternative to conventional internal combustion vehicles, EVs produce zero tailpipe emissions and can significantly reduce carbon emissions—particularly when powered by renewable energy sources. However, one of the primary barriers to widespread EV adoption remains the high cost of battery components, which are essential to vehicle performance and energy storage. In Indonesia, two dominant battery types used in EVs are Lithium Ferro Phosphate (LFP) and Nickel Manganese Cobalt (NMC), each offering distinct advantages. LFP batteries are recognized for their thermal stability and longer life cycles, making them suitable for everyday use, while NMC batteries offer higher energy density and are preferred for performance-focused and long-distance applications. This study aims to evaluate the correlation between battery capacity, driving range, and charging time for LFP and NMC batteries using Pearson correlation and regression analysis through MATLAB simulation. The results indicate a strong and statistically significant correlation among the key parameters, with a Pearson coefficient of 0.576 for battery capacity and range, and an R-square value of 0.99 for the regression model, demonstrating high predictive accuracy. Furthermore, the analysis reveals that LFP batteries have a higher average energy efficiency of 7.53 km/kWh compared to 6.84 km/kWh for NMC batteries, indicating more consistent performance in energy usage. These findings offer valuable insights for optimizing battery selection in EV applications and contribute to strategic planning for the development of more efficient electric vehicle systems. The combination of statistical and simulation-based analysis provides a robust foundation for future research and policy-making in the field of electric mobility.
Tinjauan Komprehensif tentang Material Berbasis Fe dalam Jurnal Thermoelectric Full-Heusler Affan Shoffani Adam; Dianta Gintig
Science and Physics Education Journal (SPEJ) Vol. 9 No. 2 (2026): SPEJ (Science and Physics Education Journal)
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/ecesya67

Abstract

Abstract: This study aims to conduct a comprehensive review of the development of iron-based thermoelectric materials with an emphasis on crystal structure, electron-phonon transport mechanisms, and efforts to improve power factor and figure of merit (ZT) values. This methods study reviews literatures discussing materials such as FeSi, FeSb₂, Heusler and Half-Heusler alloys, and Fe-based nanocomposites that have significant potential as environmentally friendly thermoelectric materials. The results of the study indicate that iron-based materials have several advantages, including abundant availability, good thermal stability, non-toxicity, and suitability for applications in the medium to high temperature range. In FeSi and FeSb₂ systems, the improvement of thermoelectric performance is strongly influenced by strong electron interactions and phonon scattering mechanisms, which can be optimized through nanostructuring, doping, and energy band engineering techniques. Meanwhile, Fe-based Full-Heusler and Half-Heusler materials show great potential for performance improvement through band engineering approaches, controlling the charge carrier concentration, and reducing the lattice thermal conductivity through phonon scattering strategies. This study also identified several key challenges still faced, such as low energy conversion efficiency, sensitivity to temperature changes, and the complexity of balancing electrical conductivity and phonon scattering processes. Overall, the results of this study confirm that Fe-based thermoelectric materials are promising candidates for supporting sustainable energy development. However, a multidisciplinary materials engineering approach is needed to achieve optimal performance for widespread industrial application.   Keywords: , Iron (Fe) based, Full Heusler, Half Heusler, Figure of Merit (ZT), Thermoelectric material.