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Energy savings from an Eco-Cooperative Adaptive Cruise Control: a BEV platoon investigation

机译:生态合作式自适应巡航控制系统的节能:BEV排的调查

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This paper implements an ecological cooperative adaptive cruise control (Eco-CACC) on the ego battery electric vehicle (BEV) of a two-vehicle platoon by using a Nonlinear Model Predictive Control (NMPC) framework. By considering various speed profiles of the reference vehicle, this approach balances an inter-vehicular distance reduction with a velocity profile smoothing in order to minimize powertrain energy consumption. Although a short inter-vehicular distance benefits from the slipstream effect, the power losses due to an aggressive tracking can nullify such a benefit. Considering a spontaneous platoon with this approach, in a realistic driving case scenario a BEV can reduce its energy consumption by up to 40% as compared to a conventional adaptive cruise control (ACC) strategy. Thus, a proof-of-concept for the NMPC implementation of an Eco-CACC approach is provided. Furthermore, the reductions in savings due to horizon shortening are assessed by Dynamic Programming (DP).
机译:本文通过使用非线性模型预测控制(NMPC)框架,在两车排的自我电池电动汽车(BEV)上实现了生态协同自适应巡航控制(Eco-CACC)。通过考虑参考车辆的各种速度曲线,该方法在车辆之间的距离减小与速度曲线平滑之间取得平衡,以使动力总成能量消耗最小。尽管较短的车距会从滑流效应中受益,但由于主动跟踪而导致的功率损耗会使这种优势无效。考虑到采用这种方法的自发排,在实际驾驶情况下,与传统的自适应巡航控制(ACC)策略相比,BEV可以减少多达40%的能耗。因此,提供了用于Eco-CACC方法的NMPC实施的概念证明。此外,由于动态范围(DP)评估了由于视距缩短而导致的节约减少。

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