Charging electric vehicles (EVs) with renewable energy can lessen their environmental impact. However, the fluctuating availability of renewable energy affects the sustainability of public EV charging stations. Nearby public charging stations may utilize differing energy sources due to their microgrid connections - ranging from exclusively renewable to non-renewable or a combination of both - highlighting the substantial variability in energy supply types within short distances. This study investigates the near-future scenario of integrating dynamic renewable energy availability in charging station navigation to impact the choices of EV users towards renewable sources. We conducted a within-subjects design survey with 50 car users and semi-structured interviews with 10 EV users from rural, suburban, and urban areas. The results show that when choosing EV charging stations, drivers often prioritize either time savings or money savings based on the driving scenarios that influence drivers' consumer value. Notably, EV users tend to select renewable-powered stations when they align with their main priority, be it saving money or time. This study offers end-user insights into the front-end graphic user interface and the development of the back-end ranking algorithm for navigation recommender systems that integrate dynamic renewable energy availability for the sustainable use of electric vehicles.
翻译:使用可再生能源为电动汽车充电可降低其环境影响。然而,可再生能源的波动性供应影响了公共电动汽车充电站的可持续性。由于微电网连接,邻近的公共充电站可能采用不同的能源——从完全可再生能源、非可再生能源到两者混合——这突显了短距离内能源供应类型的显著差异。本研究探讨了在充电站导航中整合动态可再生能源可用性的近期情景,以影响电动汽车用户对可再生能源的选择。我们对50名汽车用户进行了组内设计调查,并对来自农村、郊区和城市的10名电动汽车用户进行了半结构化访谈。结果表明,在选择电动汽车充电站时,驾驶员通常根据驾驶场景优先考虑节省时间或节省金钱,这些场景影响了消费者的价值取向。值得注意的是,当可再生能源充电站符合用户的主要优先事项(无论是省钱还是省时)时,电动汽车用户倾向于选择它们。本研究为前端图形用户界面及后端排名算法的开发提供了终端用户见解,这些算法整合了动态可再生能源可用性,用于导航推荐系统,以促进电动汽车的可持续使用。