Cost–benefit of a state-road charging system: The case of Denmark

Optimal placement and sizing of charging infrastructure for EVs under information-sharing

“…The real sensitivity with respect to time for charging and detours may differ from what is assumed here, and it will be relevant for future studies to integrate such information into the utility functions, e.g. such as in Rich et al (2022).…”

“…The system level demand describes the overall need for EV charging in some constrained geographical area for some finite time period. The overall demand for charging is formed by using a sampling approach, which is similar to the approach in Rich et al (2022), although the specific sample is different. The following states are considered.…”

“…Sampling of driving range and initial State-of-Charge for all vehicles is based on their expected home-charging opportunities and the length of the trip. While in this paper, we did not use the steady-state approximation provided in Hipolito et al (2022), we project driving range by a shifted-mean approach as also described in Rich et al (2022). 5.…”

“…This can be useful as a means to understand how the system should be designed to handle peak-loading. In fact, if charging systems are designed to satisfy average service levels it will be very different from systems designed to handle degrees of peak-loading (Rich et al, 2022).…”

Long distance charging behaviour and range anxiety: An adaptive choice design approach

“…As pointed out by Mashhoodi and van der Blij (2021), Xu et al (2020), Bonges et al (2016) and Guo et al (2018), range anxiety can have implications for the charging infrastructure design as it influences the charging frequency and battery utilisation more broadly. Specifically, if charging preferences on long-distance trips differ from everyday charging preferences, it is of value to understand how these differ, as the difference could influence the specific design of the charging infrastructure along motorways (Rich et al, 2022). In this regard, several studies highlight the need for more research on consumer preferences related to charging infrastructure, e.g., Hardman et al (2018), Zhang (2018), Ge (2019), and Visaria et al (2021).…”