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      Smart energy interfaces for electric vehicles

      Monigatti, Paul; Apperley, Mark; Rogers, Bill
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      Smart Energy Interfaces for Electric Vehicles (Waikato RC).pdf
      Accepted version, 835.8Kb
      DOI
       10.1145/2598153.2602229
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      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
      Abstract
      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.
      Date
      2014
      Type
      Conference Contribution
      Publisher
      ACM
      Rights
      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.
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      • Computing and Mathematical Sciences Papers [1452]
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