Design of brushless DC motor control system for electric vehicles based on microcontroller

The Green transportation is especially important as energy scarcity and air pollution from exhaust fumes from fuel vehicles become more and more serious. Electric vehicles have the advantages of non-pollution, low noise, high efficiency and simple structure, which will surely become the mainstream of transportation. Brushless DC motor as the drive motor of electric vehicles, it is much more efficient than the traditional brushed DC motor, can reach 80-90% high efficiency, in the same volume than the brushed DC motor output more power, with higher power density. Due to its simple structure, the maintenance and repair of a brushless DC motor is easier than that of a brushed DC motor. Therefore, this paper designs a brushless DC motor control system for electric vehicles, which is characterized by simple structure, high stability, good starting characteristics, precise speed control and low cost. In this paper, the design of the AT89C51 microcontroller as the main controller, through the microcontroller to generate pulse width modulation (PWM) signals to control the brushless DC motor, the drive circuit uses the H-bridge, the output of variable duty cycle pulse wave (PWM) to control the drive circuit, so as to make the motor for forward and reverse rotation. Twisting the electric car grip, the Hall element inside changes the magnetic field, resulting in a change in the output voltage of the grip, thus adjusting the output duty cycle and realizing speed regulation.

Authors

Institutions

Publication Details

Published
2024-08-05
DOI
https://doi.org/10.1117/12.3039192
Primary Topic
Sensorless Control of Electric Motors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design of brushless DC motor control system for electric vehicles based on microcontroller

Xiuli Fu, Yongbin Zhang, Junjie Shi, Chen Wang
Sensorless Control of Electric Motors
article

Design of brushless DC motor control system for electric vehicles based on microcontroller

Xiuli Fu, Yongbin Zhang, Junjie Shi, Chen Wang
article en

Abstract

The Green transportation is especially important as energy scarcity and air pollution from exhaust fumes from fuel vehicles become more and more serious. Electric vehicles have the advantages of non-pollution, low noise, high efficiency and simple structure, which will surely become the mainstream of transportation. Brushless DC motor as the drive motor of electric vehicles, it is much more efficient than the traditional brushed DC motor, can reach 80-90% high efficiency, in the same volume than the brushed DC motor output more power, with higher power density. Due to its simple structure, the maintenance and repair of a brushless DC motor is easier than that of a brushed DC motor. Therefore, this paper designs a brushless DC motor control system for electric vehicles, which is characterized by simple structure, high stability, good starting characteristics, precise speed control and low cost. In this paper, the design of the AT89C51 microcontroller as the main controller, through the microcontroller to generate pulse width modulation (PWM) signals to control the brushless DC motor, the drive circuit uses the H-bridge, the output of variable duty cycle pulse wave (PWM) to control the drive circuit, so as to make the motor for forward and reverse rotation. Twisting the electric car grip, the Hall element inside changes the magnetic field, resulting in a change in the output voltage of the grip, thus adjusting the output duty cycle and realizing speed regulation.

Beijing Institute of Petrochemical Technology (CN), Beijing Institute of Graphic Communication (CN)
Affordable and clean energy
Openalex Percentile: Top 90%
Sensorless Control of Electric Motors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.