Perceived Usage Potential of Fast-Charging Locations

Abstract

Fast-charging infrastructure with charging time of 20–30 min can help minimizing current perceived limitations of electric vehicles, especially considering the unbalanced and incomprehensive distribution of charging options combined with a long perceived charging time. Positioned on optimal location from user and business perspective, the technology is assumed to help increasing the usage of an electric vehicle (EV). Considering the user perspectives, current and potential EV users were interviewed in two different surveys about optimal fast-charging locations depending on travel purposes and relevant location criteria. The obtained results show that customers prefer to rather charge at origins and destinations than during the trip. For longer distances, charging locations on axes with attractive points of interest are also considered as optimal. From the business model point of view, fast-charging stations at destinations are controversial. The expensive infrastructure and the therefore needed large number of charging sessions are in conflict with the comparatively time consuming stay.

Risk Identification and Analysis for PPP Projects of Electric Vehicle Charging Infrastructure Based on 2-Tuple and the DEMATEL Model

“…In this step, the influence degree r-the sum of rows-and the degree of being influenced c-the sum of columns-can be determined based on Equations (10) and (11).…”

“…The charging infrastructure industry is at a nascent stage and research on the risk identification of charging infrastructure projects is limited [8]. Currently, there are three points focused on charging infrastructure: (i) site selection of charging facilities [9]; (ii) business model for charging infrastructure [10,11], the PPP model [3]; and (iii) incentive industry policies [12][13][14]. Although the PPP model is viewed as an effective means to promote the sustainable development of charging facilities [5], the EVCI-PPP project is in the initial stages in China and faces various uncertain risks.…”

Electric Vehicle Public Charging Infrastructure Planning Using Real-World Charging Data

“…A large and growing body of literature has investigated and debated the topic of site selection for charging infrastructure. In the absence of sufficient usage data or for projections into the future, the models are typically based on socio-demographic data including points of interest (POI) [1], expert interviews [2,3], traffic counters [4,5], and user surveys [6,7]. However, the lack of real-world utilization data reference in these approaches implies the use of fundamental assumptions.…”