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Author: search.filters.author.Khan-Ngern, WerachetSubject: search.filters.subject.electric vehicle

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    Item type:Publication,
    Embedded Electronic Differential System on Two Brushless DC Motor Drives for Electric Vehicle Steering Control
    (2018-08-20)
    Khan-Ngern, Werachet
    ;
    Keyoonwong, Wiwat
    ;
    Chatsiriwech, Narongrit
    ;
    Sangnopparat, Pongsakorn
    ;
    Mattayaboon, Ponghiran
    The project present about Embedded Electronic Differential System(EDs) on Two Brushless DC (BLDC) Motors Drives for Electric Vehicle Steering Control. EDs using for steering control to balance speed between two BLDC motors and enhances efficiency of electric vehicle driving system. Efficiency testing on BLDC motor driving system to determine the efficiency of BLDC motor driving system including inverter and BLDC motor at various load conditions. The maximum efficiency of BLDC motor at 48 volts is 75.71% with 6.52 kg load Embedded system including speed limit to protect BLDC motor from overrated speed and feedback speed, Handwriting coding by Arduino mega 2560. The steering control using digital potentiometer, MCP41010. When the turning angle of electric vehicle is any degrees (right or left turning status), the control system will command. And when BLDC motor near overrated speed and turning status, the overall speed of electric vehicle is reduced because the both BLDC motors speed are limited at 840 rpm. The experimental results give satisfactory performance.
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    Item type:Publication,
    High performance BLDC motor control for electric vehicle
    (2018-08-13)
    Khan-Ngern, Werachet
    ;
    Keyoonwong, Wiwat
    ;
    Chatsiriwech, Narongrit
    ;
    Sangnopparat, Pongsakorn
    ;
    Mattayaboon, Ponghiran
    This paper presents about design of high performance brushless dc motor (BLDC) control for electric vehicle (EV) which focusing on rear differential of electric car uses electronic control system or well known as electronic differential system (EDs). The advantage of EDs is help to adjust wheel speed while cornering by driving two BLDC motor attached to two rear wheels that two wheel speed is different. This system can accurately control process by monitoring output and feeding some of it back to compare actual output with desired output so as to reduce the error. It is well known as closed loop control system. The speed of BLDC is experimentally measured by a tachometer. The steering angle and speed of EV is calculated by equations derived from Ackemuuui-Jesntsnd model using Arduino. Load simulation using MATLAB Simulink. The experimental results electronic differential using will enhances efficiency of electric vehicle driving system.