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Energy and mobility benefits from connected ecodriving for electric vehicles

机译:电动汽车的互联生态驾驶为能源和交通带来好处

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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.
机译:由于使用车载电池作为唯一能源,电动汽车(EV)在减少与交通相关的燃料消耗和污染物排放方面具有巨大潜力。另一方面,最近的研究表明,在连接的车辆环境中,例如在信号交叉口的生态进/离港(EAD),可借助节能驾驶辅助系统实现更多的节能。在这项工作中,设计并使用实际的测试驾驶数据评估了电动汽车的互联生态驾驶系统。它分两个阶段实施:1)驾驶辅助,通过车载显示器向驾驶员显示推荐的瞬时速度; 2)自动纵向控制,其中开发了模型预测控制器(MPC)以通过遵循轨迹参考来控制车辆的纵向速度。将这两个阶段的系统性能(在能量和移动性方面)与没有提供EAD协助的基准阶段进行比较。结果表明,所提出的基于MPC的EAD系统可以帮助电动汽车平均节省22%的能源,而EAD系统的驾驶辅助可以平均节省12%的能源。

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