  Although the growing electric vehicle (EV) population is leading us into a
more sustainable world, it is also bringing challenges for the manufacturers's
production planning, the charging facility providers's expansion plan, and the
energy system's adaption to greater electricity demand. To tackle these
challenges, a model to predict EV growth in geographical scope would be
helpful. In this study, an agent-based parameterized bass network diffusion
model was developed for EV population data in Washington. The model included
income levels and number of neighbors adopted as two key factors in determining
EV diffusion probabilities. With the parameters estimated from simulation, the
resulting model achieve a high estimation accuracy for EV adoption in
Washington in both temporal and geographical scopes. This model could be used
to predict EV growth in Washington, and to be adopted to other geographical
areas.
