A comparative study of energy management systems under connected driving: Cooperative car-following case

Ozan Yazar, S. Coskun, Feng Zhang, Lin Li
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引用次数: 4

Abstract

In this work, we propose connected energy management systems for a cooperative hybrid electric vehicle (HEV) platoon. To this end, cooperative driving scenarios are established under different car-following behavior models using connected and automated vehicles technology, leading to a cooperative cruise control system (CACC) that explores the energy-saving potentials of HEVs. As a real-time energy management control, an equivalent consumption minimization strategy (ECMS) is utilized, wherein global energy-saving is achieved to promote environment-friendly mobility. The HEVs cooperatively communicate and exchange state information and control decisions with each other by sixth-generation vehicle-to-everything (6G-V2X) communications. In this study, three different car-following behavior models are used: intelligent driver model (IDM), Gazis–Herman–Rothery (GHR) model, and optimal velocity model (OVM). Adopting cooperative driving of six Toyota Prius HEV platoon scenarios, simulations under New European Driving Cycle (NEDC), Worldwide Harmonized Light Vehicle Test Procedure (WLTP), and Highway Fuel Economy Test (HWFET), as well as human-in-the-loop (HIL) experiments, are carried out via MATLAB/Simulink/dSPACE for cooperative HEV platooning control via different car-following-linked-vehicle scenarios. The CACC-ECMS scheme is assessed for HEV energy management via 6G-V2X broadcasting, and it is found that the proposed strategy exhibits improvements in vehicular driving performance. The IDM-based CACC-ECMS is an energy-efficient strategy for the platoon that saves: (i) 8.29% fuel compared to the GHR-based CACC-ECMS and 10.47% fuel compared to the OVM-based CACC-ECMS under NEDC; (ii) 7.47% fuel compared to the GHR-based CACC-ECMS and 11% fuel compared to the OVM-based CACC-ECMS under WLTP; (iii) 3.62% fuel compared to the GHR-based CACC-ECMS and 4.22% fuel compared to the OVM-based CACC-ECMS under HWFET; and (iv) 11.05% fuel compared to the GHR-based CACC-ECMS and 18.26% fuel compared to the OVM-based CACC-ECMS under HIL.
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网联驾驶下能源管理系统的比较研究——以协同跟车为例
在这项工作中,我们提出了一种用于合作混合动力汽车(HEV)排的连接能量管理系统。为此,采用车联网和自动驾驶技术,在不同的汽车跟随行为模型下建立协同驾驶场景,形成探索混合动力汽车节能潜力的协同巡航控制系统(CACC)。作为一种实时能源管理控制,采用等效消耗最小化策略(equivalent consumption minimization strategy, ECMS),实现全局节能,促进环境友好型出行。混合动力汽车通过第六代车对一切(6G-V2X)通信相互协作通信和交换状态信息和控制决策。本研究采用了智能驾驶员模型(IDM)、Gazis-Herman-Rothery模型(GHR)和最优速度模型(OVM)三种不同的跟车行为模型。采用6种丰田普锐斯混合动力汽车组队协同驾驶场景,通过MATLAB/Simulink/dSPACE对新欧洲驾驶循环(NEDC)、全球统一轻型汽车测试程序(WLTP)和公路燃油经济性测试(HWFET)下的混合动力汽车组队协同控制以及人在环(HIL)实验进行了仿真。通过6G-V2X广播对ccc - ecms方案进行了HEV能量管理评估,发现提出的策略在车辆驾驶性能方面表现出改善。基于idm的ccc - ecms是一种高效节能策略,在NEDC下,与基于ghr的ccc - ecms相比节省了8.29%的燃料,与基于ovm的ccc - ecms相比节省了10.47%的燃料;(ii)与WLTP下基于ghr的ccc - ecms相比,燃料消耗为7.47%,与基于ovm的ccc - ecms相比,燃料消耗为11%;(iii)与HWFET下基于ghr的ccc - ecms相比燃料消耗为3.62%,与基于ovm的ccc - ecms相比燃料消耗为4.22%;(iv)与基于ghr的ccc - ecms相比,燃料消耗为11.05%,与基于ovm的ccc - ecms相比,燃料消耗为18.26%。
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