Control Strategy of Hybrid Excavator Based on Torque Prediction

被引:1
作者
Zhao P. [1 ]
Chen Y. [1 ]
Zhou H. [1 ]
Yang H. [1 ]
机构
[1] State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou
来源
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | 2018年 / 54卷 / 01期
关键词
Control strategy; Dynamic programming; Excavator; Hybrid; Torque prediction;
D O I
10.3901/JME.2018.01.099
中图分类号
学科分类号
摘要
During the passing decades, even though great progress has been made in hydraulic hybrid excavators with the development of hydraulic hybrid technology, there are still some shortages remained to be solved. For instance, the fuel efficiency is still low and the energy loss is huge. Concerning these issues, a kind of dynamic programming control strategy based on torque prediction, which is suitable for hydraulic hybrid excavators, is proposed. The excavator driving system is a closed hydraulic system comprised by displacement pump and cylinder. The power supply is consisted by engine and displacement pump/motor connected with accumulator, which work as main drive element and auxiliary driving device, respectively. And the driving system can be classified into parallel hydraulic hybrid system. The load characteristics of cyclic operating conditions of excavators are analyzed. The minimum length of sample to forecast demand torque is determined. The demand torque curve is divided periodically based on empirical mode decomposition and the predictive torque is obtained. The dynamic programming control strategy based on torque prediction is proposed. According to the simulation result, the maximum output torque of engine can be reduced by 28.9%, and the fuel consumption can be reduced by 32.5% compared with the condition without control strategy. In addition, the pressure of accumulator can maintain the setting range. © 2018 Journal of Mechanical Engineering.
引用
收藏
页码:99 / 106
页数:7
相关论文
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