Abstract
Growing electric vehicle (EV) dissemination will increase charging infrastructure installation at home. Similar daily routines are associated with high peak loads due to simultaneous EV charging. However, predominantly residential power transmission is not designed for such high loads, yielding charging bottlenecks and restricting future charging at home. Addressing such bottleneck situations and including the EV driver perspective, we introduce a power allocation mechanism that considers the total travel time of the upcoming trip, consisting of actual driving time and time required for charging externally (including the detour to public charging facilities). Assuming that travel time generally negatively correlates with EV driver utility, our optimization model maximizes the resulting utility of EV drivers. Avoiding unnecessary external charging stops due to an insufficient state of charge at the time of departure, our approach generates travel time savings that increase overall EV driver utility. We illustrate our approach using exemplary cases.
Highlights
Within the low-carbon transformation, the transport sector plays a crucial role given its high carbon dioxide emissions
As range anxiety (Rauh et al 2015) and the loss of time due to additional charging are essential for the acceptance of electric mobility, with Assumption 3, we focus on the electric vehicle (EV) driver utility depending on the travel time as our decision criterion
No account is taken of the possible travel time savings that can be achieved by allocating power while avoiding unnecessary external charging stops
Summary
Within the low-carbon transformation, the transport sector plays a crucial role given its high carbon dioxide emissions. Existing studies neglect possible utility losses that may stem from unnecessary and avoidable external charging stops Against this background, in this paper, we aim to extend the existing body of knowledge by including the planned driving process of the EV driver, i.e., including the travel time of the upcoming trip, in our power allocation mechanism. Since significant time savings may be possible by avoiding unnecessary external charging stops, our model does increase the satisfaction of EV drives with charging but reduces the overall number of external charging stops for the considered EVs. With the potential to avoid unnecessary external charging stops and reduce the charging time at external charging facilities, our power allocation mechanism may contribute to a more efficient use of the power grid infrastructure. This paper positively impacts grid expansion and the need for additional external fast-charging infrastructure, which opens a broad field for future research
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