Andika, Yudi (2021) Desain Sistem Manajemen Energi Menggunakan Cascade Fuzzy pada Sistem Hybrid Baterai dan Supercapacitor untuk Kendaraan Listrik. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Kendaraan listrik pada umumnya memanfaatkan baterai sebagai sumber energi agar dapat beroperasi. Baterai memiliki kerapatan energi yang tinggi tetapi memiliki kerapatan daya yang rendah. Baterai hanya mampu memenuhi kebutuhan energi pada kendaraan listrik, namun tidak mampu memenuhi kebutuhan daya puncak. Kondisi ini membuat ukuran baterai harus ditingkatkan yang akan membuat dimensi baterai semakin besar. Pada penelitian ini, dilakukan pengembangan sumber daya kendaraan listrik dengan mengkombinasikan / hybrid baterai dengan supercapacitor yang memiliki kerapatan daya tinggi tetapi memiliki kerapatan energi yang rendah. Sehingga kebutuhan daya puncak dapat dipenuhi oleh supercapacitor. Untuk menjaga performa baterai dan supercapacitor, diterapkan Energy Management System (EMS) dengan cara menjaga kapasitas energi baterai dan supercapacitor pada kendaraan listrik. Penelitian ini membahas perancangan EMS menggunakan Fuzzy Logic Controller (FLC) tipe cascade fuzzy dengan mempertimbangkan State of Charge (SOC) baterai dan supercapacitor serta kebutuhan daya pada kendaraan listrik. SOC baterai dan supercapacitor harus berada pada batas yang ditentukan untuk mempertahankan masa penggunaannya. Sistem yang diusulkan dievaluasi menggunakan simulasi dengan empat kondisi yang berbeda untuk baterai dan supercapacitor dengan permintaan daya tertentu pada kendaaan listrik. Hasilnya, EMS yang diusulkan mampu membagi kebutuhan daya yang harus diakomodasi oleh baterai dan supercapacitor. Penggunaan sistem hybrid baterai dan supercapacitor pada kendaraan listrik mampu mengurangi arus puncak baterai sebesar 34% dibandingkan hanya menggunakan baterai. Kondisi ini membuat baterai dapat digunakan dalam waktu yang lebih lama.
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Electric vehicles generally use batteries as an energy source in order to operate. Batteries have a high energy density but have a low power density. Batteries are only able to meet the energy needs of electric vehicles, but are not able to meet peak power requirements. This condition makes the battery size must be increased which will make the battery dimensions bigger. In this research, the development of electric vehicle resources is carried out by combining / hybrid batteries with other energy sources. One of them with a supercapacitor which has a high power density but have a low energy density. So that the peak power requirements can be met by the supercapacitor. To maintain the performance of batteries and supercapacitors, an Energy Management System (EMS) is implemented by maintaining the energy capacity of batteries and supercapacitors in Electric Vehicles (EV). This study discusses the design of EMS using a fuzzy cascade type Fuzzy Logic Controller (FLC) by considering the State of Charge (SOC) of the battery and supercapacitor as well as the power requirements of the EV. The SOC of the battery and supercapacitor must be within the specified limits to maintain their useful life. The proposed system is evaluated using simulations with four different conditions for batteries and supercapacitors with certain power demands on electrical conditions. As a result, the proposed EMS is able to divide the power requirements that must be accommodated by the battery and supercapacitor. The use of a hybrid battery and supercapacitor system in electric vehicles can reduce peak battery current by 34% compared to using only batteries. This condition makes the battery can be used for a longer time.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Baterai, Energy Management System, Fuzzy Logic Controller, Kendaraan Listrik, Supercapacitor. Battery, Energy Management System, Fuzzy Logic Controller, Electric Vehicles, Supercapacitor. |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2681.O85 Electric motors, Brushless. T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL220 Electric vehicles and their batteries, etc. |
| Divisions: | Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering |
| Depositing User: | Yudi Andika |
| Date Deposited: | 14 Aug 2021 09:09 |
| Last Modified: | 18 Jun 2024 14:05 |
| URI: | http://repository.its.ac.id/id/eprint/86435 |
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