| 混合动力电动汽车的跟车控制与能量管理 |
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| 引用本文： | 赵秀春, 郭戈. 混合动力电动汽车的跟车控制与能量管理. 自动化学报, 2022, 48(1): 162−170 doi: 10.16383/j.aas.c200136 |
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| 作者姓名： | 赵秀春 郭戈 |
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| 作者单位： | 1.大连理工大学 大连 116024;;2.大连民族大学 大连 116600;;3.东北大学流程工业综合自动化国家重点实验室 沈阳 110004;;4.东北大学秦皇岛分校控制工程学院 秦皇岛 066004 |
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| 基金项目： | 国家自然科学基金(U1808205,61573077,61973053,51975089,51575079);辽宁省教育厅科学研究经费(LJYT201915)资助。 |
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| 摘 要： | 混合动力电动汽车(Hybrid electric vehicles, HEVs)的能量管理问题至关重要, 而混合动力电动汽车的跟车控制不仅涉及跟车效果与安全性, 也影响着能量的高效利用. 将HEVs的跟车控制与能量管理相结合, 提出一种基于安全距离的HEVs车辆跟踪与能量管理控制方法. 首先, 考虑坡度、载荷变动建立了HEVs车辆跟车系统的非线性模型, 并基于安全距离, 提出一种基于道路观测器的动态面控制(Dynamic surface control, DSC)进行车辆跟踪控制. 然后, 结合跟踪控制下工况循环, 采用滚动动态规划(Dynamic programming, DP)算法进行混合动力电动汽车能量实时优化控制. 最后, 通过仿真研究进行验证.
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| 关 键 词： | 混合动力电动汽车 动态面控制 车辆跟踪 能量管理 动态规划 |
| 收稿时间： | 2020-03-16 |
Tracking Control and Energy Management of Hybrid Electric Vehicles |
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| Zhao Xiu-Chun, Guo Ge. Tracking control and energy management of hybrid electric vehicles. Acta Automatica Sinica, 2022, 48(1): 162−170 doi: 10.16383/j.aas.c200136 |
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| Authors: | ZHAO Xiu-Chun GUO Ge |
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| Affiliation: | 1. Dalian University of Technology, Dalian 116024;;2. Dalian Minzu University, Dalian 116600;;3. Laboratory of Synthetical Automation for Industrial Process, Northeastern University, Shenyang 110004;;4. School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004 |
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| Abstract: | The energy management of hybrid electric vehicles (HEVs) is very important. The tracking control of hybrid electric vehicles not only involves tracking and safety, but also affects the energy efficiency. Integrated with the problem of vehicle tracking control, an energy management control method based on safety distance for hybrid electric vehicles (HEVs) is proposed in this paper. Firstly, the nonlinear model of vehicle tracking system is established considering the change of slope and load. Considering the safety distance, a dynamic surface control (DSC) based on road observer is proposed for vehicle tracking control. Then, combined with the driving cycle under tracking control, the dynamic programming (DP) algorithm is used to optimize the energy real-time control of hybrid electric vehicles. Finally, the effectiveness is verified by simulations. |
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| Keywords: | Hybrid electric vehicles(HEVs) dynamic surface control(DSC) vehicle tracking energy management dynamic programming(DP) |
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