Electric vehicle charging stations in the workplace with high-resolution data from casual and habitual users

Abstract

Problems of poor network interoperability in electric vehicle (EV) infrastructure, where data about real-time usage or consumption is not easily shared across service providers, has plagued the widespread analysis of energy used for transportation. In this article, we present a high-resolution dataset of real-time EV charging transactions resolved to the nearest second over a one-year period at a multi-site corporate campus. This includes 105 charging stations across 25 different facilities operated by a single firm in the U.S. Department of Energy Workplace Charging Challenge. The high-resolution data has 3,395 real-time transactions and 85 users with both paid and free sessions. The data has been expanded for re-use such as identifying charging behaviour and segmenting user groups by frequency of usage, stage of adoption, and employee type. Potential applications include but are not limited to simulating and parameterizing energy demand models; investigating flexible charge scheduling and optimal power flow problems; characterizing transportation emissions and electric mobility patterns at high temporal resolution; and evaluating characteristics of early adopters and lead user innovation.

A Literature Review on the Charging Behaviour of Private Electric Vehicles

“…As far as workplace charging is concerned, this practice represents a valid charging opportunity, especially when it is perceived as cheaper than charging at home or when home charging is not available. Usage data show regular patterns on working days, with a low rate of exploitation on holidays [126,127].…”

Impacts of micromobility on car displacement with evidence from a natural experiment and geofencing policy

“…Recent advances in real-time data collection allow us to leverage highly granular digital data from mobile platforms to estimate effects about travel decisions [13][14][15][16][17] . First, digital data provide users with instant information about travel options and costs using geolocation and Global Positioning System (GPS) tracking 7 .…”

Consumers Purchase Intentions of Green Electric Vehicles: The Influence of Consumers Technological and Environmental Considerations

“…Jiang et al [44] suggested that swappable batteries might be used to improve the consumer's intention, considering the drastic decline in overall charging time that would result. Asensio et al [45] explored the effect of charging at the workplace; the number of charging stations and the location of charging stations was very significant. Adhikari et al [42] and Amin et al [43] found that consumer demands for charging stations in the public domain, such as supermarkets, parks, and restaurants, are trivial, and they are keener to charge EVs at home.…”