Cooperative power management for range extended electric vehicle based on internet of vehicles
Cooperative power management for range extended electric vehicle based on internet of vehicles
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基于车联网的增程电动汽车协同电源管理
DOI：
10.1016/j.energy.2023.127238
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发表时间：
2023-06
期刊：
影响因子：
9
通讯作者：
Yuanjian Zhang;B. Gao;Jingjing Jiang;Chengyuan Liu;Dezong Zhao;Quan Zhou;Zheng Chen;Z. Lei
中科院分区：
文献类型：
--
作者：
Yuanjian Zhang;B. Gao;Jingjing Jiang;Chengyuan Liu;Dezong Zhao;Quan Zhou;Zheng Chen;Z. Lei
车联网（IoV）的巨大进步激发了电气化交通的进一步发展，车联网中交换的大量信息可以注入到车辆中，通过车辆与环境的协作来提升电动汽车（EV）的控制性能。本文提出了一种针对增程电动汽车（REEV）的协作电源管理策略（PMS）。为此，首先对所研究的REEV进行精确建模，为策略设计奠定高效的平台。基于车联网的先进框架，通过将自学习显式等效最小化消耗策略（SL-eECMS）和基于自适应神经模糊推理系统（ANFIS）的在线充电管理融入REEV车载电源中，精心开发了协作式PMS。全新的SL-eECMS通过集成改进的量子粒子群优化（iQPSO），在最优效果和即时执行能力之间取得了较好的平衡，ANFIS宏观掌握未来的驾驶状态，为在线充电管理提供预测的充电请求。大量仿真和硬件在环 (HIL) 测试表明，所提出的协作 PSMS 可以连贯、高效地管理 REEV 电源内的功率流，突出了其预期的更好性能。
The dramatic progress in internet of vehicles (IoVs) inspires further development in electrified transportation, and abundant information exchanged in IoVs can be infused into vehicles to promote the controlling performance of electric vehicles (EVs) via vehicle-environment cooperation. In this paper, a cooperative power management strategy (PMS) is advanced for the range extended electric vehicle (REEV). To this end, the studied REEV is accurately modelled first, laying an efficient platform for strategy design. Based on the advanced framework of IoVs, the cooperative PMS is meticulously developed via incorporating the self-learning explicit equivalent minimization consumption strategy (SL-eECMS) and adaptive neuro-fuzzy inference system (ANFIS) based online charging management within on-board power sources in the REEV. The brand-new SL-eECMS achieves preferable balance between the optimal effect and instant implementation capability through integrating the improved quantum particle swarm optimization (iQPSO), and ANFIS grasps future driving status macroscopically, offering the predicted charging request for online charge management. The substantial simulations and hardware-in-the-loop (HIL) test manifest that the proposed cooperative PSMS can coherently and efficiently manage power flow within power sources in the REEV, highlighting its anticipated preferable performance.