Energy Consumption Estimation for Routing EVs based on Driver Behavior

Authors

Niklas Schwertner, University of Rhode Island
Gretchen Macht, University of Rhode IslandFollow

Document Type

Conference Proceeding

Date of Original Version

2018

Abstract

There has been a significant increase in the sales of Electric Vehicles (EVs) in the United States and abroad in the last few years. Nevertheless, the overall adoption of these trends are hindered by range limits of EVs in conjunction with long charging times relative to traditional vehicles. In this context, determination of current and prediction of future energy demands is essential. This paper presents approaches for predicting energy consumption of EVs and discusses their eligibility for this purpose. Four modeling approaches have shown to be mostly used in recent literature. In order to predict an EV’s energy demand, several modeling techniques are combined to give an accurate prediction of the future energy consumption. For the system EVs a combination of physics -based modeling together with statistical modeling has shown to be an efficient choice.

Citation/Publisher Attribution

Schwertner, N., & Macht, G. A. (2018). Energy Consumption Estimation for Routing EVs based on Driver Behavior. Proceedings of the 2018 IISE Annual Conference. Retrieved from https://www.xcdsystem.com/iise/2018_proceedings/prof2543.html

Available at: https://www.xcdsystem.com/iise/2018_proceedings/prof2543.html