MOTOR DRIVE & E�ERGY MA�AGEME�T FOR ELECTRIC VEHICLE USI�G �ATIO�AL I�STRUME�TS COMPACT-RIO

• Main Author: Ardhian Rangkuti, Redhata Gama
• Format: Final Year Project
• Language: English
• Published: Universiti Teknologi PETRONAS 2012
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://utpedia.utp.edu.my/3975/1/Final_Report_FYPII_Redhata_Rangkuti_12293.pdf; http://utpedia.utp.edu.my/3975/

Internal combustion engine vehicle (ICEVs) has been around for more than a century. However, the efficiency of ICEV is considered low, only 30% of the energy formed in the ICE combustion reaction is changed into mechanical power and the majority which is 70% of the energy is vanished into the form of exhaust gases heat. The exhaust gases are consists of mostly of carbon dioxide (CO2) and a smaller amount of nitrogen oxides (NOX), hydrocarbons (CXHY), carbon monoxide (CO) and others. Decreasing the dependency on fossil fuels burned in an ICE will directly impact environmental effects and increase the healthiness of human. Nowadays, pure Electric Vehicle (EV) and hybrid EV are obtainable by world’s greatest carmakers because they are significant potential for use in urban areas. Their power consumption ranges from approximately 10% to 70% lower than that of a comparable ICE car, depending on their power, size of battery, control approach, etc. In city traffic, because of their positive effect on environment, electric vehicle are a key factor for improvement of traffic and more particularly for an improved living environment. A very efficient energy-management system for electric vehicle will be developed and tested. The system minimizes the power requirement of the vehicle and extends the driving range of an electric vehicle. The intention of this project is to develop the energy management system within the electric vehicle to be able to monitor vehicle performance. The energy management system monitors the battery current, battery voltage, temperature, vehicle performance, power consumption, state of charge (SOC) of the battery, and gives feedback in terms of actions that need to do by driver. It will be implemented using National Instruments Compact-RIO hardware and programmed in LabVIEW, graphical application development environment.