EV User Utility from Bidirectional Charging Schedules Under Mobility Uncertainties
IEEE PES Innovative Smart Grid Technologies Europe, vol. 1, pp. 1–6
Abstract
This paper introduces an algorithm that quantifies an electric vehicle (EV) user's utility from a charging schedule. The existing utility formulations in the bidirectional charging literature consider only the final quantities of a charging option such as final state-of-charge (SOC), charging completion time or cumulative vehicle-to-grid (V2G) discharge. On the contrary, the formulation suggested in this paper considers the whole trajectory that ends with such final quantities. In this way, the algorithm accurately models the impact of i) the future mobility scenarios and ii) the battery degradation due to V2G discharge. The developed utility function is applied in on-the-move and park-and-ride charging scenarios in order to estimate user utility from multiple schedule alternatives that have identical final SOC and cumulative V2G discharge. The results demonstrate that, despite the identical final conditions, the schedules denote significantly different utilities to the EV users due to the uncertainty of the parking duration, the aimed range in the following trips, the convenience of additional charging between the current and next planned charging events, and the battery degradation's dependence on depth of discharge. These results indicate the importance of an assessment based on the entire schedule of a charging option rather than its final conditions.
Authors 3
-
Affiliation as printed
Institute for Automation of Complex Power Systems E.ON ERC - RWTH Aachen University, Aachen, Germany
-
Affiliation as printed
Institute for Automation of Complex Power Systems E.ON ERC - RWTH Aachen University, Aachen, Germany
-
Affiliation as printed
Institute for Automation of Complex Power Systems E.ON ERC - RWTH Aachen University, Aachen, Germany
Cited by 0 stored of 0
No patents citing this paper on Lens.org (checked 2026-10-06).