Charging Control of Plug-in Hybrid Electric Vehicle Battery with Microcontroller Based

Raditya, Afandi (2025) Charging Control of Plug-in Hybrid Electric Vehicle Battery with Microcontroller Based. Other thesis, Institut Teknologi Sepuluh Nopember.

Text 5022211062-Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only Download (5MB)

Abstract

Kendaraan Listrik Hibrida atau Plug-in Hibrida (PHEV) memiliki banyak keunggulan dibandingkan dengan Kendaraan Listrik Bertenaga Baterai (BEV), termasuk fleksibilitas dalam pengisian energi dan kemampuan jangkauan yang lebih jauh. Tantangan utama terletak pada pengelolaan aliran daya antara sumber baterai dan sumber generator untuk memasok motor, serta mengelola penyimpanan energi dalam baterai ketika pasokan berasal semata-mata dari generator. Penelitian ini mengusulkan sistem regulasi DC Bus untuk pengisian baterai optimal menggunakan generator atau jaringan listrik pada PHEV dengan baterai LiFePO4. Sistem kontrol yang dikembangkan menggunakan mikrokontroler ESP32 yang terhubung ke cloud melalui jaringan IoT untuk pemantauan real-time. Sistem kontrol pengisian baterai didasarkan pada Status Pengisian (SoC) dan arus pengisian baterai dengan menerapkan metode pengisian arus konstan-tegangan konstan. Sistem komunikasi menggunakan protokol CAN BUS untuk komunikasi antara Unit Kontrol Hibrida (HCU), Unit Distribusi Daya (PDU), dan catu daya yang dapat diprogram, serta komunikasi serial UART untuk komunikasi Sistem Manajemen Baterai (BMS). Implementasi kontrol menggunakan logika fuzzy untuk manajemen batas arus adaptif dan kontrol regulasi tegangan. Sistem visualisasi data menggunakan Node-RED, InfluxDB, dan Grafana untuk pemantauan komprehensif. Hasil pengujian menunjukkan regulasi tegangan dengan output PSU yang dipertahankan pada 50-54V dan kontrol arus yang berhasil mencapai target 5A dengan adaptasi logika fuzzy dari 1,0A hingga 10,0A berdasarkan tingkat SoC. Sistem mencapai akurasi pengukuran yang tinggi dengan kesalahan kalibrasi PDU sebesar 1,79% untuk arus PSU dan kinerja komunikasi yang handal melalui UART (waktu respons 50-100ms) dan bus CAN (waktu respons 10-50ms) dengan uptime IoT 95%.
==================================================================================================================================
Hybrid or Plug-in Hybrid Electric Vehicles (PHEVs) have many advantages compared to Battery Electric Vehicles (BEVs), including flexibility in energy charging and longer range capabilities. The main challenge lies in managing the power flow between the battery source and the generator source to supply the motor, as well as managing energy storage in the battery when the supply is solely from the generator. This research proposes a DC Bus regulation system for optimal battery charging using a generator or the power grid in a PHEV with LiFePO4 batteries. The developed control system uses an ESP32 microcontroller connected to the cloud via IoT network for real-time monitoring. The battery charging control system is based on the State of Charge (SoC) and battery charging current by implementing constant current-constant voltage charging method. The communication system uses CAN BUS protocol for communication between Hybrid Control Unit (HCU), Power Distribution Unit (PDU), and programmable power supply, as well as UART serial communication for Battery Management System (BMS) communication. The control implementation uses fuzzy logic for adaptive current limit management and voltage regulation control. The data visualization system uses Node-RED, InfluxDB, and Grafana for comprehensive monitoring. Test results demonstrate voltage regulation with PSU output maintained at 50-54V and successful current control achieving 5A target with fuzzy logic adaptation from 1.0A to 10.0A based on SoC levels. The system achieved high measurement accuracy with PDU calibrated errors of 1.79% for PSU current and reliable communication performance via UART (50-100ms response times) and CAN bus (10-50ms response times) with 95% IoT uptime.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	PHEV, Charging Control, LiFePO4 Battery, Microcontroller, IoT, Fuzzy Logic PHEV, Charging Control, LiFePO4 Battery, Microcontroller, IoT, Fuzzy Logic
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2943 Battery chargers.
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Afandi Raditya
Date Deposited:	23 Jul 2025 00:58
Last Modified:	23 Jul 2025 00:58
URI:	http://repository.its.ac.id/id/eprint/120588

Actions (login required)

View Item