期刊
SCIENTIFIC WORLD JOURNAL
卷 -, 期 -, 页码 -出版社
HINDAWI LTD
DOI: 10.1155/2013/831564
关键词
-
资金
- National Natural Science Foundation [51205368]
- Natural Science Foundation of Zhejiang Province [LQ12E05003]
Optimal control using particle swarm optimization (PSO) is put forward in a parallel hybrid hydraulic excavator (PHHE). A power-train mathematical model of PHHE is illustrated along with the analysis of components' parameters. Then, the optimal control problem is addressed, and PSO algorithm is introduced to deal with this nonlinear optimal problem which contains lots of inequality/equality constraints. Then, the comparisons between the optimal control and rule-based one are made, and the results show that hybrids with the optimal control would increase fuel economy. Although PSO algorithm is off-line optimization, still it would bring performance benchmark for PHHE and also help have a deep insight into hybrid excavators.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据