Electric vehicles (EVs) have great potential in reducing traffic related fuel consumption and pollutant emissions, due to the use of onboard batteries as the only energy source. On the other hand, recent research shows that additional energy savings can be achieved with the aid of ecodriving assistance systems in a connected vehicle environment, such as Eco-approach/departure (EAD) at signalized intersections. In this work, a connected ecodriving system for EVs is designed and evaluated with real-world test driving data. It is implemented in two stages: 1) driving assistance where the recommended instantaneous speed is presented to the driver via an on-board display; and 2) automatic longitudinal control where a model predictive controller (MPC) is developed to control the vehicle's longitudinal speed by following the trajectory reference. The system performance (in terms of energy and mobility) for both stages is compared with the baseline stage where no EAD assistance is provided. The results show that the proposed MPC-based EAD system can help EVs save 22% energy on average, while the driving assistance with EAD system can achieve 12% energy savings on average.


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    Title :

    Energy and mobility benefits from connected ecodriving for electric vehicles


    Contributors:


    Publication date :

    2017-10-01


    Size :

    1141471 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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