混合动力电动汽车的跟车控制与能量管理

赵秀春; 郭戈

doi:10.16383/j.aas.c200136

混合动力电动汽车的跟车控制与能量管理

doi: 10.16383/j.aas.c200136

赵秀春^{1, 2,},
郭戈^{3, 4,}

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

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

详细信息

作者简介:
赵秀春：大连民族大学讲师, 大连理工大学控制科学与工程专业博士研究生. 2006年获得东北大学硕士学位. 主要研究方向为车辆控制技术, 混合动力电动汽车能量管理. E-mail: zxc_xiu@163.com

郭戈：东北大学教授. 1998年获得东北大学博士学位. 主要研究方向为智能交通系统, 运动目标检测跟踪网络. 本文通信作者. E-mail: geguo@yeah.net

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出版历程
- 收稿日期: 2020-03-16
- 网络出版日期: 2021-08-05
- 刊出日期: 2022-01-25

Tracking Control and Energy Management of Hybrid Electric Vehicles

ZHAO Xiu-Chun^{1, 2
,},
GUO Ge^{3, 4
,}

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

Funds: Supported by National Natural Science Foundation of China (U1808205, 61573077, 61973053, 51975089, 51575079), and Scientific Research Fund of Liaoning Provincial Education Department (LJYT201915)

More Information

Author Bio:
ZHAO Xiu-Chun　Lecturer at Dalian Minzu University, Ph. D. candidate at Control Science and Engineering, Dalian University of Technology. She received her master degree from Northeastern Unversity in 2006. Her research interest covers vehicle control technology, and hybrid electric vehicle energy management

GUO Ge　Professor at Northeastern University. He received his Ph. D. degree from Northeastern University in 1998. His research interest covers intelligent transportation system, and moving target detection and tracking with network. Corresponding author of this paper

摘要

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.
- 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
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.
- Hybrid electric vehicles (HEVs) /
- dynamic surface control (DSC) /
- vehicle tracking /
- energy management /
- dynamic programming (DP)

HTML全文

图 1 HEV控制系统

Fig. 1 HEV control system

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图 2 Power-split HEV功率关系

Fig. 2 Power-split HEV power relationship

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图 3 发动机燃油消耗率

Fig. 3 Engine fuel consumption rate map in Advisor

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图 4 发动机燃油消耗率−功率曲线

Fig. 4 Engine fuel consumption rate and power

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图 5 道路坡度

Fig. 5 Road slope

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图 6 HEV车辆位置

Fig. 6 Position profile of HEV

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图 7 HEV车辆速度曲线

Fig. 7 Velocity profile of HEV

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图 8 速度工况曲线

Fig. 8 Velocity cycle of HEV

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图 9 SOC变化曲线

Fig. 9 SOC of HEV

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图 10 功率分配曲线

Fig. 10 Power distribution of HEV

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表 1 HEV车辆主要参数

Table 1 Parameters of HEV

参数数值单位参数数值单位

整车质量 1332 kg 车轮半径 0.287 m
重力加速度 9.81 N/kg 迎风面积 1.746 m²
车身长度 3 m 空气密度 1.29 kg/m³
风阻系数 0.3 — 滚动阻力系数 0.3 m/s

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表 2 燃油消耗对比

Table 2 Comparison of fuel consumption

优化方法 (ECE 工况) 燃油消耗 (l/100 km) 提高 (%)

Advisor 6.3 —
本文算法 4.68 12

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参考文献(29)

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混合动力电动汽车的跟车控制与能量管理

doi: 10.16383/j.aas.c200136

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Tracking Control and Energy Management of Hybrid Electric Vehicles

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目录

参数	数值	单位	参数	数值	单位
整车质量	1332	kg	车轮半径	0.287	m
重力加速度	9.81	N/kg	迎风面积	1.746	m²
车身长度	3	m	空气密度	1.29	kg/m³
风阻系数	0.3	—	滚动阻力系数	0.3	m/s

优化方法 (ECE 工况)	燃油消耗 (l/100 km)	提高 (%)
Advisor	6.3	—
本文算法	4.68	12

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混合动力电动汽车的跟车控制与能量管理

doi: 10.16383/j.aas.c200136

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Tracking Control and Energy Management of Hybrid Electric Vehicles

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