Monigatti, P., Apperley, M., & Rogers, B. (2014). Smart energy interfaces for electric vehicles. In F. Garzotto, P. Paolini, A. De Angeli, G. Jacucci, A. Malizia, M. Matera, & R. Lanzilotti (Eds.), Proceeding of 12th International Working Conference on Advanced Visual Interfaces (pp. 413–416). New York, NY: ACM. http://doi.org/10.1145/2598153.2602229
Permanent Research Commons link: https://hdl.handle.net/10289/9690
Electric vehicle charging strategies rely on knowledge of future vehicle usage, or implicitly make assumptions about a vehicle’s usage. For example, a na¨ıve charging strategy may assume that a full charge is required as soon as possible and simply charge at the maximum rate when plugged in, whereas a smart strategy might make use of the knowledge that the vehicle is not needed for a number of hours and optimise its charging behaviour to minimise its impact on the electricity grid. These charging strategies may also offer vehicle-to-grid services. To achieve this functionality, a driver needs to specify the details of the next trip—or sequence of trips—in order for the charging strategy to perform optimally. This paper explores the value of next-trip information, and presents a potential user interface to assist a driver with providing these details.
This is an author’s accepted version of an article published in Proceedings of 12th International Working Conference on Advanced Visual Interfaces. © 2014 Copyright ACM.