Energy Consumption Model and Charging Station Placement for Electric Vehicles

A detailed energy consumption model is introduced for electric vehicles (EVs), that takes into account all tractive effort components, regenerative braking, and parasitic power users. Based on this model a software tool for EV reachable range estimation (EVRE) is developed and implemented. This software tool uses real driving distances and elevation data from Google Maps and can therefore much more accurate predict the reachable range of a given EV than the typical Euclidean distance models. Furthermore, an optimization model for the placement of charging stations to maximize the number of reachable households under energy constraints is established using EVRE. These results are illustrated by a number of examples involving the cities of New York City, Boulder Colorado, and South Bend, Indiana. The developed methodology can easily incorporate additional constraints such as popular destinations, preferred parking, driver habits, available power infrastructure, etc. to initially reduce the search space for optimal charging station placement.

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