Conversance of electric vehicle systems through simulation and implementation
Abstract
While the vehicle electrical systems have been extensively researched and tested in industry, students who are studying at the academy would benefit greatly from a medium through which to conduct their own research and application. The annual Purdue Grand Prix Electric Vehicle (EVGP) offers a unique opportunity for students from around the world to build their own all-electric, high-powered go-karts and compete with each other through a variety of best practices implementation. The karts competing in this race are the perfect candidate for a student who is learning about vehicle electrical systems. However, there are opportunities that can improve their research and application. This project addresses some of the research opportunities available for the EVGP by creating an on-board Battery Management System (BMS) for the electric go-karts' Winston lithium-ion batteries. The BMS actively monitors the voltages of all cells in the kart, and makes executive decisions on the basis of pre-programmed algorithms, fuzzy logic. A computer model of an electric go-kart has also been created in MATLAB / Simulink. This model allows a person to simulate the characteristics of an electric go-kart with real-world or theoretical drive schedules. The breadth of the research lies within the BMS and model development, and a comparison of measurements from each system is performed in the end.
Degree
M.S.
Advisors
Basu, Purdue University.
Subject Area
Alternative Energy|Electrical engineering|Sustainability
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