A Parameter Matching Method of the Parallel Hydraulic Hybrid Excavator Optimized with Genetic Algorithm
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-28
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
This paper proposed a parameter matching method based on the energy storage unit, the accumulator in the parallel hydraulic hybrid excavator (PHHE).
The working condition, system structure, and control strategy of the excavator were all considered.
It took the 20-ton series PHHE as the example and displayed the parameter matching course of the main components: engine, accumulator, and hydraulic secondary regulatory pump.
Their installed powers were reduced after the matching course.
Furthermore, the parameters of the PHHE system were optimized with the genetic algorithm to get the most suitable values for system initialization.
By analyzing the simulation results, it could be concluded that the parameter matching method had an impressive improvement of the energy saving under the same working condition and brought obscure influence to the mechanism dynamics.
American Psychological Association (APA)
Lai, Xiaoliang& Guan, Cheng. 2013. A Parameter Matching Method of the Parallel Hydraulic Hybrid Excavator Optimized with Genetic Algorithm. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1010692
Modern Language Association (MLA)
Lai, Xiaoliang& Guan, Cheng. A Parameter Matching Method of the Parallel Hydraulic Hybrid Excavator Optimized with Genetic Algorithm. Mathematical Problems in Engineering No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-1010692
American Medical Association (AMA)
Lai, Xiaoliang& Guan, Cheng. A Parameter Matching Method of the Parallel Hydraulic Hybrid Excavator Optimized with Genetic Algorithm. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1010692
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1010692