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Electric and hybrid vehicles are growing in popularity. While these vehiclesproduce less pollution, they also produce less audible noise, especially atlower speeds. This makes it harder for pedestrians and cyclists to detect anapproaching vehicle. Thus, an additional system is required to detect electricand hybrid vehicles and alert pedestrians and cyclists of their whereabouts,especially while these vehicles are driving at low speeds in cities. This paperintroduces one such method based on high frequency audio emissions that arepresent in EVs, which arise, for example, from the process of magnetostriction.Our method is tested experimentally using 4 different tests vehicles, and apreliminary EV detection algorithm is also presented.

A Non-Invasive Method for the Safe Interaction of Cities and Electric Vehicle Fleets