Research on parameter optimisation of control strategy for powertrain system of series hybrid electric bulldozer
To reduce the fuel consumption for a new type of series hybrid electric bulldozer, the parameters of control strategy for powertrain system should be optimised, especially for engine-generator system. In this paper, a new method based on multidisciplinary optimisation is proposed. The mathematical model of the series hybrid bulldozer system is established under MATLAB/Simulink software environment. On the basis of the idea of optimisation design, the parameters optimisation model for the control strategy is described. The optimised work flow is built by using the software of OPTIMUS, and adaptive genetic algorithm (AGA) is used to solve optimisation problem. The result shows that the bulldozer's fuel consumption after optimisation is reduced by about 6.74% compared with the former, and the method proposed in this paper can find the optimal solution in all global ranges, which greatly reduces the design and optimisation difficulties of the control strategy.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/14775360
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Supplemental Notes:
- Copyright © 2016 Inderscience Enterprises Ltd.
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Authors:
- Song, Qiang
- Zeng, Pu
- Publication Date: 2016
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 132-142
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Serial:
- International Journal of Vehicle Design
- Volume: 72
- Issue Number: 2
- Publisher: Inderscience Enterprises Limited
- ISSN: 1477-5360
- Serial URL: http://www.inderscience.com/jhome.php?jcode=IJVD
Subject/Index Terms
- TRT Terms: Adaptive control; Bulldozers; Fuel consumption; Genetic algorithms; Hybrid vehicles; Optimization; Power trains
- Subject Areas: Design; Energy; Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01623217
- Record Type: Publication
- Files: TRIS
- Created Date: Jan 24 2017 3:15PM