Forecasting Battery Electric Vehicles

Abstract

We use both TFDEA and Regression to forecast the diffusion of battery electric cars. Our methodology was divided into 6 steps. The objective of this project is to compare and discuss the results of TFDEA and Regression to be used to predict the model year of Battery Electric Vehicle. For project scope, the dataset of BEV will only focus on the BEV sold or available in US market from 1997∼2015. The selection of variables will concentrate on the technical performance parameters in 2 seats and 4 seats market segments respectively.