Sistem Monitoring Kapasitas Baterai Valve Regulated Lead Acid pada Automatic Grain Dryer

Syahira, Lailil (2025) Sistem Monitoring Kapasitas Baterai Valve Regulated Lead Acid pada Automatic Grain Dryer. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Automatic Grain Dryer dirancang untuk memberikan pengeringan yang lebih efisien dengan memanfaatkan baterai Valve Regulated Lead Acid (VRLA) sebagai penyimpanan energi yang andal. Namun, tanpa pemantauan yang tepat baterai VRLA berisiko mengalami overdischarge yang dapat memperpendek umurnya. Oleh karena itu, dirancanglah sistem monitoring kapasitas baterai VRLA dengan sensor PZEM-017 untuk memantau tegangan dan arus baterai secara real-time. Sistem ini menampilkan nilai SOC dalam persentase dan memberikan notifikasi peringatan ketika baterai mencapai batas SOC minimum, membantu memperpanjang umur baterai dan menjaga stabilitas operasional Automatic Grain Dryer. Hasil pengujian kinerja sistem monitoring kapasitas baterai ini menunjukkan bahwa untuk pengukuran arus, tingkat error rata-rata adalah 1,43%, dengan akurasi tertinggi mencapai 99,93%. Sementara itu, pada pengukuran tegangan, tingkat error rata-rata tercatat sebesar 0,42%, dengan akurasi tertinggi mencapai 99,91%. Kedua hasil ini menunjukkan bahwa sistem yang dirancang memiliki performa yang andal dalam memantau SOC baterai.
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The Automatic Grain Dryer is designed to provide more efficient drying by utilizing a Valve Regulated Lead Acid (VRLA) battery as a reliable energy storage system. However, without proper monitoring, VRLA batteries are at risk of overdischarge, which can significantly reduce their lifespan. To address this issue, a battery capacity monitoring system was developed using the PZEM-017 sensor to monitor battery voltage and current in real time. The system displays the State of Charge (SOC) in percentage and issues warning notifications when the battery reaches a minimum SOC threshold, thereby helping to extend battery life and maintain the operational stability of the Automatic Grain Dryer. Performance testing of the battery capacity monitoring system revealed that the average error rate for current measurements was 1.43%, with a maximum accuracy of 99.93%. For voltage measurements, the average error rate was recorded at 0.42%, with a maximum accuracy of 99.91%. These results indicate that the designed system performs reliably in monitoring the SOC of the battery.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Automatic Grain Dryer, baterai VRLA, SOC, sistem monitoring, overdischarge
Subjects:	T Technology > T Technology (General) T Technology > T Technology (General) > T11 Technical writing. Scientific Writing T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1007 Electric power systems control T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2945 Lead-acid batteries.
Divisions:	Faculty of Vocational > Instrumentation Engineering
Depositing User:	Lailil Syahira
Date Deposited:	05 Aug 2025 04:36
Last Modified:	05 Aug 2025 04:36
URI:	http://repository.its.ac.id/id/eprint/126552

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