Research on Control Strategy for Energy Management System of Hybrid Power Excavator

被引：0
|
作者：
Wang H. [1 ]
Sun M. [1 ]
He Z. [1 ]
Huang S. [1 ]
Rong F. [1 ]
Yuan X. [1 ]
机构：
[1] College of Electrical and Information Engineering, Hunan University, Changsha
来源：
Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences | 2018年 / 45卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Energy management; Hybrid power; Optimal fuel control; Predictiove control;
D O I：
10.16339/j.cnki.hdxbzkb.2018.02.10
中图分类号：
学科分类号：
摘要：
The way of using optimal control theory to implement the optimal fuel control strategy of hybrid excavator is limited, because its computational complexity is large and the working conditions must be known in advance for global optimization. A real-time optimal fuel control strategy was proposed in this paper to solve the problem. An engine model of "speed-power-fuel consumption rate" was established. Under the constraint of DC bus voltage stability, the power compensation of the energy storage system was calculated as a control instruction, which can make the engine work efficiently. Finite control set model predictive control algorithm was proposed to follow the instruction speedily and flexibly. Through the simulation, the effectiveness of the proposed approach was demonstrated. Engineering practice results indicate that the fuel consumption is 82.2% and 77.6% of the prediction of the traditional model with flat light load and heavy load, respectively. © 2018, Editorial Department of Journal of Hunan University. All right reserved.
引用
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页码：78 / 86
页数：8
相关论文
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