Development of Computational Model for the Prediction of Performance of Lithium-ion Batteries Built a faster than real-time computational model of a Li-ion battery for Hybrid Electric Vehicles (HEV) in MATLAB. Used the model to predict behaviors inside of batteries under practical HEV loading cycles in real-time. • The model can present internal behavior and essential properties of batteries, including instant concentration of Li+ ions, instant voltage in each element, output voltage, thermal behaviors and etc. • Improved existing Li-ion models (only for low charging rate) to handle high charging/discharging rate in HEV. • Completed detailed research thesis, and defended the thesis in front of a research committee of faculty members. • Got accepted to present research achievements in Denman Research Forum. Published the thesis to university’s Knowledge Bank and one of the famous electro-chemistry journals: International Journal of Electrochemistry.