Implementasi Control Unit Untuk Plug-In Hybrid Electric Vehicle Berbasis Internet Of Things

Humaira, Aisyah (2024) Implementasi Control Unit Untuk Plug-In Hybrid Electric Vehicle Berbasis Internet Of Things. Other thesis, Institut Teknologi Sepuluh Nopember.

[thumbnail of 5022201135-Undergraduate_Thesis.pdf] Text
5022201135-Undergraduate_Thesis.pdf - Accepted Version
Restricted to Repository staff only until 1 October 2026.

Download (4MB) | Request a copy

Abstract

Penerapan transportasi berbasis hidrokarbon telah menimbulkan berbagai isu global seperti peningkatan produksi minyak bumi, lonjakan harga bensin, dan perubahan iklim. Untuk mengatasi masalah ini, kendaraan hibrid telah dianggap sebagai solusi yang dapat menghadirkan pengisian energi yang fleksibel, jarak tempuh yang lebih jauh, dan efisiensi yang lebih tinggi dibandingkan dengan kendaraan yang hanya menggunakan internal combustion engines (ICE). Namun, untuk mencapai keseimbangan energi pada sistem dengan kapasitas baterai terbatas, diperlukan manajemen energi yang handal agar kendaraan hibrid dapat beroperasi secara optimal. Penelitian ini menyoroti peran control unit dalam melakukan kontrol secara efisien, termasuk pengambilan keputusan tentang pengaturan sumber daya ke motor listrik berdasarkan tingkat state of charge (SOC) baterai yang rendah atau tinggi. Control Unit tersebut diimplementasikan dengan menggunakan pengontrol real-time yang sederhana dan cepat. Selain itu, sistem ini dilengkapi dengan monitoring jarak jauh menggunakan teknologi Internet of Things (IoT). Berdasarkan hasil pengujian, implementasi Control Unit berhasil dengan baik mengelola distribusi dan transisi sumber daya dari genset dan baterai, dengan estimasi error pembacaan sensor arus baterai sebesar 0,23 Ampere dan sensor arus genset sebesar 0,28 Ampere. Sedangkan, estimasi error pembacaan sensor arus beban adalah sebesar 0,11 Ampere. Pada pemantauan kondisi kendaraan secara real-time melalui penerapan Internet of things menunjukkan latensi waktu sebesar 1,23 detik.

=======================================================================

The implementation of hydrocarbon-based transportation has led to various global issues, such as increased oil production, surging gasoline prices, and climate change. To address these problems, hybrid vehicles have been considered a solution that offers flexible energy charging, longer driving range, and higher efficiency compared to vehicles solely using internal combustion engines (ICE). However, to achieve energy balance in systems with limited battery capacity, reliable energy management is required to ensure the optimal operation of hybrid vehicles. This study highlights the role of the control unit in efficiently managing the power supply, including decision-making on the allocation of resources to the electric motor based on the battery's state of charge (SOC) levels. The control unit is implemented using a simple and fast real-time controller. Furthermore, the system is equipped with remote monitoring capabilities utilizing Internet of Things (IoT) technology. Based on the test results, the implementation of the control unit successfully managed the distribution and transition of power sources from the generator and battery, with an estimated current sensor reading error of 0.23A for the battery and 0.28A for the generator. The current sensor reading error for the load was estimated at 0.11A. Real-time vehicle condition monitoring through the application of IoT showed a latency of 1.23 seconds.

Item Type: Thesis (Other)
Uncontrolled Keywords: Hybrid Vehicle, Control Unit, Internet of Things, Kendaraan Hibrid, Control Unit, Internet of Things
Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL220 Electric vehicles and their batteries, etc.
T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL221.5 Hybrid Vehicles. Hybrid cars
Divisions: Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User: Aisyah Humaira
Date Deposited: 31 Jul 2024 02:14
Last Modified: 31 Jul 2024 02:14
URI: http://repository.its.ac.id/id/eprint/109764

Actions (login required)

View Item View Item