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首页> 外文会议>Transportation Research Board Annual meeting >Vehicle-Infrastructure Integration-Enabled Plug-in Hybrid Electric Vehicles for Optimizing Energy Consumption
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Vehicle-Infrastructure Integration-Enabled Plug-in Hybrid Electric Vehicles for Optimizing Energy Consumption

机译：基于车辆基础设施集成的插电式混合动力汽车，可优化能耗

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As the market share of hybrid electric vehicles (HEVs) increases to reduce thedependency on fossil fuels and there is an increased interest in real-time communication betweenvehicles and infrastructure, the integration of these two technologies has become an importantresearch topic. Such an integrative paradigm, envisioned in the Vehicle-InfrastructureIntegration (Ⅶ) or IntelliDrive systems, can improve mobility and increase safety. In this paper,a Ⅶ-HEV framework is proposed for utilization for both conventional HEVs and Plug-inHybrid Electric Vehicles (PHEV). The data collection and communication capability of theseⅦ's permits the prediction of speed profiles at the vehicle level within a reasonable error rate.Once predicted, the speed profile is sent from roadside units (RSUs) to Ⅶ-HEV/PHEVs foroptimization. The authors describe the use of the Equivalent Consumption Minimization Strategy(ECMS), which optimizes energy usage of PHEVs and HEVs with the predicted speed profileobtained through the Ⅶ system. A simulation analysis of the framework with 65 driving cyclesshows improvement of energy consumption of 2% to 12% with an average of 6% for PHEVs and1% to 3.5% with an average of 2.2% for HEVs.
机译：随着混合动力汽车（HEV）市场份额的增加， 依赖化石燃料，并且人们之间越来越关注实时通信 车辆和基础设施，这两种技术的集成已成为重要的 研究课题。车辆基础设施中设想的这种集成范式 集成（Ⅶ）或IntelliDrive系统可以提高移动性并提高安全性。在本文中， 提出了一个Ⅶ-HEV框架，以用于常规HEV和插件 混合动力电动汽车（PHEV）。这些的数据收集和通信能力 Ⅶ允许在合理的错误率内预测车辆水平的速度曲线。 预测后，速度配置文件会从路边单位（RSU）发送到Ⅶ-HEV/ PHEV，以进行 优化。作者描述了等效消费最小化策略的使用 （ECMS），以预测的速度曲线优化PHEV和HEV的能源使用 通过Ⅶ系统获得。具有65个行驶周期的车架的仿真分析 显示PHEV的能耗降低了2％至12％，平均降低了6％ 混合动力车占1％至3.5％，平均为2.2％。

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