Author:

Keywords:

bicycle, data acquisition, GPS, range prediction

Abstract:

Cycling range prediction is, more often than not, completely absent in commercially available Electrically Power Assisted Cycles (EPACs); most EPAC users are satisfied with a simple battery status indication. How- ever, the rising use of EPACS with an assistance speed up to 45 km/h , the so-called speed pedelecs, increases energy consumption drastically in such a way that further lead to the reinstatement of range anxiety despite an unchanged trajectory. This paper introduces a range prediction algorithm by on-board collecting of GPS data and weather data and real-time analysis of the cycling style. By adding to this monitoring of battery power, a method to estimate the model parameters (drag area, rolling friction and cyclist power) is proposed and validated.