Authors:

Meghna Swaminathan

Date Created:

Not specified

Course Title:

Professor:

Not specified

About Paper:

Infrastructural planning of electric vehicle (EV) charging stations is crucial for enhancing user experience and supporting the sustainable growth of EV adoption. A key challenge is the scarcity of charging stations on highways and in urban areas, leading to significant inconvenience for EV users. This research seeks to identify critical variables in users' decision-making process when selecting charging stations. Our approach involves conducting surveys among diverse populations to gather data on EV charging behaviors and preferences. Participants engage in think-aloud protocols, vocalizing their thought processes while choosing charging stations. This involves creating 50 maps of randomly chosen cities, each with a random start and end point, and two randomly chosen charging stations with different features. The maps provide essential information such as car type, charger type, battery percentage remaining, and the distance and time between points. Participants use this data to decide which charging station they would use on their way to the destination. The survey results will be used to understand which variables matter in users' decision-making regarding charging station selection for future experimental studies. We expect this research to yield validated cognitive models of charging station choice behavior, an integrated framework for multi-objective planning, and actionable recommendations for policymakers and stakeholders. These outcomes will support the efficient, equitable, and sustainable expansion of EV charging infrastructure, ultimately enhancing the driving experience for EV users and promoting long-term community well-being. Keywords: [no keywords provided]

Source:

Purdue University / 2024

Topics:

No topics listed

Co-authors:

Meghna Swaminathan