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Although the growing electric vehicle (EV) population is leading us into amore sustainable world, it is also bringing challenges for the manufacturers'sproduction planning, the charging facility providers's expansion plan, and theenergy system's adaption to greater electricity demand. To tackle thesechallenges, a model to predict EV growth in geographical scope would behelpful. In this study, an agent-based parameterized bass network diffusionmodel was developed for EV population data in Washington. The model includedincome levels and number of neighbors adopted as two key factors in determiningEV diffusion probabilities. With the parameters estimated from simulation, theresulting model achieve a high estimation accuracy for EV adoption inWashington in both temporal and geographical scopes. This model could be usedto predict EV growth in Washington, and to be adopted to other geographicalareas.

Prediction of PEV Adoption with Agent-Based Parameterized Bass Network Diffusion Model