An Embedded Controller Application with Regenerative Braking for the Electric Vehicle

Author:

Karabacak Yusuf,Uysal Ali

Abstract

Regenerative braking is very important for increasing the total range of an electric vehicle. In this study, an embedded controller, including regenerative braking, is designed and implemented for an electric vehicle. Experimental studies are carried out on an electric vehicle driven by two in-wheel electric motors. In-wheel electric motors are preferred in light electric vehicles, since they are both highly efficient and supports regenerative braking. In our embedded controller application, the in-wheel electric motor is operated in both the motor mode and the regenerative braking mode. The in-wheel electric motor control embedded software is developed in the Matlab/Simulink environment. The developed software is embedded in the DSP STM32F407 microcontroller, which has ARM Cortex-M4 core. The in-wheel electric motor is controlled by a fuzzy logic controller in the motor mode, the in-wheel electric motor - in the regenerative braking mode. Different PWM (Pulse Width Modulation) ratios are applied to the wheel electric motor in the regenerative braking mode. The experimental data are recorded in real-time by transferring to a PC on the electric vehicle. The performance of the study is proven with experimental tests.

Funder

Karabük Üniversitesi

Publisher

Kaunas University of Technology (KTU)

Subject

Electrical and Electronic Engineering

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Energy recovery of four-wheel hub motor driven vehicle in steering-braking condition;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2024-06-16

2. Regenerative Braking For Fuel Cell Powertrain;2024 13th Mediterranean Conference on Embedded Computing (MECO);2024-06-11

3. Regenerative Braking Control of Brushless DC Motors with Type 2 Fuzzy Logic Controller;International Journal of Fuzzy Systems;2023-06-12

4. Performance Comparison of PID and LQR Controllers for Control of Non-Linear Magnetic Levitation System;Deu Muhendislik Fakultesi Fen ve Muhendislik;2023-05-15

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