Afif, Muhammad Nur Aziz Asfar (2019) Estimasi Kapasitas Dan Indikator Kesehatan Baterai Pada Diver Propulsion Vehicle Menggunakan Metode Coulomb Counting. Diploma thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Kendaraan selam bawah air atau Diver Propulsion Vehicle (DPV) menggunakan baterai sebagai penyimpan energi listrik. Di dalam penggunaanya, baterai dapat mengalami penurunan kapasitas. Salah satu faktor yang dapat mempercepat penurunan kapasitas baterai adalah kondisi overcharging dan overdischarging. Untuk mengatasi permasalahan tersebut, dilakukan perancangan estimasi kapasitas dan indikator kesehatan pada baterai. Perancangan tersebut digunakan untuk mengetahui kondisi baterai ketika dipakai oleh pengguna. Metode yang digunakan adalah melakukan estimasi kapasitas dengan parameter SOC dan indikator kesehatan baterai dengan parameter SOH. Nilai SOC didapatkan dengan menjumlahkan arus yang terukur oleh sensor. Sedangkan nilai SOH, didapatkan dengan membandingkan nilai arus total yang terukur dengan nilai desain kapasitas pabrik. Nilai kapasitas dan kesehatan disimpan pada modul SD Card. Berdasarkan pengujian yang dilakukan, didapatkan nilai rata-rata eror (RMSE) pada sensor arus ACS 758 sebesar 0.02273, selisih ketika kondisi discharging sebesar 3.1%, dan pada kondisi charging sebesar 4.5% dari penghitungan kapasitas secara manual. Selain itu, didapatkan nilai indikator kesehatan baterai sebesar 93.89%.
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Under water vehicle or Diver Propulsion Vehicle (DPV) uses battery as energy storage. In battery, the capacity can be decreased . One of the factor that can make fasten battery capacity decreased is the condition of overcurrent charging and overdischarging. One method that can used to monitor the battery condition when battery used by user is with adding parameter State Of Charge (SOC) for estimating capacity of battery an State Of Health (SOH) for estimating battery health in general also data logging as data saver. The value of SOC parameter is gotten by summing all data that measured by sensor and compared by nominal capacity which designed by factory. The value of battery capacity and health is saved in SD Card Module. Based on testing current sensor ACS 758 had average eror (RMSE) 0.02273 and the testing is continued by battery DPV when discharging condition obtained the difference 3.1% and when battery in charging condition obtained difference 4.5% from manual counting. Besides from the battery test, health indicator in battery is gotten. The battery health is 93.89%.
| Item Type: | Thesis (Diploma) |
|---|---|
| Additional Information: | RSEO 621.312 42 Afi e-1 2019 |
| Uncontrolled Keywords: | SOC, SOH, Data Logging |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001 Production of electric energy or power T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2931 Fuel cells |
| Divisions: | Faculty of Vocational > 36304-Automation Electronic Engineering |
| Depositing User: | MUHAMMAD NUR AZIZ ASFAR AFIF |
| Date Deposited: | 08 Jun 2023 04:14 |
| Last Modified: | 08 Jun 2023 04:14 |
| URI: | http://repository.its.ac.id/id/eprint/70617 |
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