Rancang Bangun Sistem Monitoring dan Kontrol Pada Sistem Charging Panel Surya Berbasis Internet of Things

Ramdhani, Muhammad Fiqri (2022) Rancang Bangun Sistem Monitoring dan Kontrol Pada Sistem Charging Panel Surya Berbasis Internet of Things. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pemantauan nilai State of Charge pada proses pengisian dan pengosongan baterai yang digunakan pada sistem panel surya diperlukan guna mengetahui kapasitas baterai serta keluaran arus pada beban peralatan. Salah satu metode estimasi SOC yaitu Coulomb Counting yaitu perhitungan jumlah arus atau muatan yang masuk atau keluar pada baterai saat pengisian dan pengosongan. Digunakan sensor INA219 sebagai pengukur tegangan, dan arus. Nilai sensor akan dibaca oleh NodeMCU dan dikirim dengan berbasis Internet of Things untuk ditampilkan di aplikasi Blynk pada smartphone. Pengujian sensor INA219 dalam pembacaan tegangan memiliki error pembacaan 0.323 % dengan ketidakpastian diperluas sebesar ±0.025 V dan error pembacaan arus rata-rata sebesar 4.25 % dengan ketidakpastian diperluas sebesar ±0.007 A. Pada sistem komunikasi IOT yang dirancang, pengguna dapat me-monitoring status, tegangan, arus, jumlah muatan, dan SOC baterai secara realtime melalui aplikasi smartphone dengan delay rata-rata sebesar 28.9 ms dan packet loss 0%. Pengguna juga dapat mengatur pengaliran arus dari baterai ke beban yang diinginkan menggunakan relay secara online melalui aplikasi smartphone dengan delay rata rata sebesar 86 ms.
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Monitoring the value of the State of Charge in the process of charging and discharging the battery used in the solar panel system is needed to determine the battery capacity and current output at the equipment load. One of the SOC estimation methods is Coulomb Counting, which is the calculation of the amount of current or charge entering or leaving the battery during charging and discharging. The INA219 sensor is used as a voltage and current meter. The sensor value will be read by the NodeMCU and sent based on the Internet of Things to be displayed in the Blynk application on the smartphone. Testing the INA219 sensor in voltage readings has a reading error of 0.323% with an expanded uncertainty of ±0.025 V and an average current reading error of 4.25% with an expanded uncertainty of ±0.007 A. In the IOT communication system designed, the user can monitor the status, voltage, current, total charge, and battery SOC in real time via a smartphone application with an average delay of 28.9 ms and 0% packet loss. Users can also adjust the flow of current from the battery to the desired load using an online relay via a smartphone application with an average delay of 86 ms.

Item Type:	Thesis (Other)
Additional Information:	RSF 629.8 Ram r-1 2022
Uncontrolled Keywords:	Coulomb Counting, Internet of Things, State of Charge
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ810.5 Solar energy T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3070 Automatic control
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	- Davi Wah
Date Deposited:	15 May 2024 06:12
Last Modified:	15 May 2024 06:12
URI:	http://repository.its.ac.id/id/eprint/107957

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