Quantifying the impact of traffic on the energy consumption of electric vehicles
Date of Original Version
Electric vehicles (EVs) and battery electric vehicles (BEVs), in particular, are considered a promising solution toward obtaining a sustainable, low-carbon mobility future. However, environmental and economic benefits depend on the specific vehicle and battery, the source of electricity used for charging, and an individuals’ driving behavior. Quantifying the influence of driving behavior, traffic conditions, ambient temperature, and the vehicle’s initial state of charge (SOC) are essential in developing an eco-friendly performance strategy. In this paper, the influence of these factors on an EV’s energy efficiency will be investigated in a naturalistic driving setting. A total of thirty test drives was conducted by three drivers on a route with various road types, in different traffic conditions, with a 2017 Volkswagen eGolf. The results illustrate that ambient temperature and traffic conditions have a significant impact on the efficiency of a BEV, with additional consumption of approximately 10% in commuter traffic alone. This expands the current understanding of how different driving behaviors impact the variation of energy efficiency in various traffic conditions relative to these other influential factors. Patterns of energy consumption in a naturalistic driving setting emerged that can help to understand how eco-driving can be strategically improved.
Proceedings of the 2020 IISE Annual Conference
Jonas, Tim, and Gretchen A. Macht. "Quantifying the impact of traffic on the energy consumption of electric vehicles." Proceedings of the 2020 IISE Annual Conference , (2020): 985-990. https://digitalcommons.uri.edu/mcise_facpubs/566