Predictive hierarchical eco-driving control involving speed planning and energy management for connected plug-in hybrid electric vehicles
Predictive hierarchical eco-driving control involving speed planning and energy management for connected plug-in hybrid electric vehicles
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DOI：
10.1016/j.energy.2023.129058
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发表时间：
2023-09
期刊：
影响因子：
9
通讯作者：
Jiaqi Xue;X. Jiao;Danmei Yu;Yahui Zhang
中科院分区：
文献类型：
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作者：
Jiaqi Xue;X. Jiao;Danmei Yu;Yahui Zhang
互联车辆技术为进一步提高插电式混合动力电动车辆（PHEV）的燃油经济性提供了巨大的机会。在此背景下，预测分层生态驾驶控制方案提出了连接插电式混合动力汽车的车辆跟驰的情况下，包含云层的速度规划和车辆层的能量管理。在云计算层，基于动态规划算法和k均值聚类方法分别处理的交通数据，分别构建参考荷电状态模型、能耗模型、等效系数模型和变时域速度预测器。为了保证跟驰过程的安全性、舒适性和燃油经济性，将能量模型和SOC模型分别作为数据驱动速度规划问题的指标和状态方程。然后，结合驾驶模式识别技术，将自适应等效消耗最小化策略（ECMS）与模型预测控制（MPC）相结合，进行计划车速下的功率分配，从而保证了燃油经济性、适应性和近全局最优性，提高了计算效率。在MATLAB/Simulink和GT-SUITE联合仿真平台上，通过与其他控制策略的比较，验证了该控制策略的有效性和优越性。
The connected vehicle technique has offered great opportunities to improve further plug-in hybrid electric vehicles (PHEVs) fuel economy. In this context, a predictive hierarchical eco-driving control scheme is proposed for connected PHEVs under a car-following scenario containing a cloud-layer speed planner and vehicle-layer energy management. In the cloud layer, based on the traffic data separately processed by the dynamic programming (DP) algorithm and k-means clustering method, the reference state of charge (SOC) model, the energy consumption model, the equivalent factor model and the variable-horizon speed predictor can be constructed, respectively. And for ensuring safety, comfort and fuel economy in the car-following process, the energy and SOC models are used separately as the index and state equation in the data-driven speed planning problem. Then, with the driving pattern recognition technique, the power allocation under the planned speed can be conducted by integrating the adaptive equivalent consumption minimization strategy (ECMS) with the model predictive control (MPC), thus guaranteeing fuel economy, adaptability and near-global optimality with high computational efficiency. Compared with other strategies, the effectiveness and advantages of the proposed scheme are validated in the joint simulation platform of MATLAB/Simulink and GT-SUITE.