Desain Kontrol MPPT PV 500 Wp Untuk Charging Baterai Berbasis Fuzzy Logic Controller Pada Mobil Listrik 10 Hp

Prajnasadhu, Raden Ihatrasena Radite (2022) Desain Kontrol MPPT PV 500 Wp Untuk Charging Baterai Berbasis Fuzzy Logic Controller Pada Mobil Listrik 10 Hp. Other thesis, Institut Teknologi Sepuluh Nopember.

Text 07111840000052-Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only until 1 October 2024. Download (3MB) | Request a copy

Abstract

Di era modern seperti sekarang ini, timbul beberapa permasalahan, salah satu permasalahan yang paling ramai diperbincangkan yakni isu ketersediaan bahan bakar fosil yang semakin menipis, selain itu gas emisi yang dihasilkan kendaraan bermotor dapat berdampak buruk dan menyebabkan pemanasan global. Dengan memanfaatkan energi baru dan terbarukan, salah satunya pemanfaatan tenaga surya dengan PV berpotensi untuk menggantikan energi bahan bakar fosil. PV memiliki prospek yang bagus apabila dapat diaplikasikan pada kendaraan secara massal di masa depan. Namun PV memiliki kekurangan, yakni daya keluaran yang dihasilkan bersifat non-linier karena dipengaruhi oleh suhu dan iradiansi. Oleh karena itu,pada Tugas Akhir ini mendesainsuatu metode yang disebutMaximujm Power Point Tracking (MPPT), yaitu suatu metode untuk melacak perubahan titik daya maksimum yang dihasilkan panel surya secara konstan dan kontinyu dengan cara mengatur duty cycleyang digunakan untuk mengatur on/off MOSFET pada boost converter. MPPT yang digunakan berbasis Fuzzy Logic Controller (FLC). Pada Tugas Akhir ini dilakukan simulasi MPPT PVberkapasitas 500 Wp berbasis FLC sehingga didapatkan daya keluaran sebesar-besarnya untuk charging baterai. Pada Tugas Akhir ini, digunakan motor sebagai beban, Jenis motor dipilih motorinduksi 3 fasa sebagai penggerak mobil listrik dengan daya keluaran maksimum 10 HP. Tugas akhirini juga menggunakan data iradiansiyang disesuaikan lokasi pengerjaan TA, yaitu di Surabaya, Jawa Timur, Indonesia.Dari hasil pengujian yang telah dilakukan, didapatkan bahwa dengan menggunakan PV dengan MPPT FLC mampu memperlambat berkurangnya SOC baterai sebesar6,02%.
===========================================================================================================================
In the modern era as it is today, several problems arise. One of the most widely discussed issues is the availability of fossil fuels, which is dwindling. In addition, gas emissions produced by motorized vehicles can have a bad impact and cause global warming. By utilizing renewable energy, one of which is the use of solar power with PV, which has the potential to replace fossil fuel energy. PV has good prospects if it can be applied to mass vehicles in the future. However, PV has a drawback, namely that the output power produced is non-linear because it is determined by temperature and irradiance. Therefore, in this final project design, a method called Maximum Power Point Tracking (MPPT), which is a method to track changes in the maximum power point produced by solar panels constantly and continuously by adjusting the duty cycle used to adjust the on/off MOSFET on the boost converter, The MPPT used is based on the Fuzzy Logic Controller(FLC). In this Final Project, FLC-based MPPT PV with a capacity of 500 Wp was carried out so that the maximum output power was obtained for charging the battery. In this final project, a motor is used as a load. The type of motor used is a 3-phase induction motor as a driving force for an electric car with a maximum output power of 10 HP. This Final Project was adapted using irradiance data, which was adjusted based on the location where the project was worked on, namely in Surabaya, East Java, Indonesia. From the results of the tests that have been carried out, it was found that using PV with MPPT FLC was able to slow down the reduction of SOC batteries by 6.02%.

Item Type:	Thesis (Other)
Additional Information:	RSE 621.312 44 Pra d-1 2022
Uncontrolled Keywords:	Mobil Listrik, PV, MPPT, Simulink MATLAB, Motor Induksi, FLC
Subjects:	Q Science > QA Mathematics > QA9.64 Fuzzy logic T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1087 Photovoltaic power generation
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Anis Wulandari
Date Deposited:	02 Nov 2022 02:57
Last Modified:	02 Nov 2022 02:57
URI:	http://repository.its.ac.id/id/eprint/95043

Actions (login required)

View Item