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All Journal International Journal of Advances in Applied Sciences Evrimata: Journal of Mechanical Engineering
Moh. Hartono
State Polytechnic of Malang
Automotive Engineering Earth & Planetary Sciences Environmental Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics

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Performance analysis of solar electric scooters with different charger controllers Asrori Asrori; Sugeng Hadi Susilo; Satworo Adiwidodo; Elka Faizal; Mira Esculenta Martawati; Moh. Hartono
International Journal of Advances in Applied Sciences Vol 13, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i4.pp1032-1042

Abstract

This study investigates the impact of solar charge controller (SCC) type on battery charging in solar-powered electric scooters (e-scooters). The research compared maximum power point tracking (MPPT) and pulse width modulation (PWM) controllers by monitoring average output power, current, and voltage every 10 minutes. Results showed that under stationary conditions, MPPT controllers delivered higher efficiency, generating 5.87 W of power compared to PWM's 5.05 W. This advantage persisted even during scooter operation, with MPPT controllers producing 4.91 W versus PWM's 4.31 W. Overall, the findings demonstrate that MPPT SCCs offer a more efficient solution for charging e-scooter batteries.
Geometry Optimization of PET Regrind Plastic Dust Separator Machine Moh. hartono; R.N. Akhsanu Takwim; Subagiyo Subagiyo; Etik Puspitasari; Nila Alia; Radhi Nurvian Amrullah
Evrimata: Journal of Mechanical Engineering Vol. 02 No. 02, 2025
Publisher : PT. ELSHAD TECHNOLOGY INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70822/evrmata.vi.76

Abstract

This study aims to analyze the effect of various operational factors on the weight of dust collected by a dust collector machine. Using a multilevel factorial design, this study evaluates the interaction between frequency (Hz), hose length (m), and tube height (m). Analysis of variance shows that all three factors have a significant effect on the dust weight response (P-Value <0.05). The regression model with an R² of 99.15% shows a very high prediction accuracy. Parameter optimization was carried out to maximize the weight of dust collected, resulting in optimal conditions at a frequency of 50 Hz, a hose length of 2 m, and a tube height of 0.3 m with a dust weight of 72.75 g.
Co-Authors Asrori Asrori Elka Faizal Etik Puspitasari Mira Esculenta Martawati Nila Alia R.N. Akhsanu Takwim, R.N. Akhsanu Radhi Nurvian Amrullah Satworo Adiwidodo Subagiyo Subagiyo Sugeng Hadi Susilo