Research on parameter optimization of control strategy for engine of hybrid tracked bulldozer

Hong Wang; Qiang Song; Pu Zeng; Feng Chun Sun

Research on parameter optimization of control strategy for engine of hybrid tracked bulldozer

Hong Wang, Qiang Song^*, Pu Zeng, Feng Chun Sun

^*Corresponding author for this work

School of Mechanical Engineering

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

Abstract

Based on the optimization design, the power train system model of the bulldozer for the engine control strategy parameter optimization that took the minimum fuel consumption as objective function was established. Then, the optimization problem is solved by means of genetic algorithm. The result indicates that, the fuel consumption reduces 8.5% under a certain operating mode comparing with the traditional bulldozer.

Original language	English
Pages (from-to)	167-170
Number of pages	4
Journal	Journal of Beijing Institute of Technology (English Edition)
Volume	23
Publication status	Published - 1 Dec 2014

Keywords

Engine control strategy
Genetic algorithm
Hybrid bulldozer
Parameter optimization

Cite this

@article{1b83ef26f8db49af866a72855b5faf4c,

title = "Research on parameter optimization of control strategy for engine of hybrid tracked bulldozer",

abstract = "Based on the optimization design, the power train system model of the bulldozer for the engine control strategy parameter optimization that took the minimum fuel consumption as objective function was established. Then, the optimization problem is solved by means of genetic algorithm. The result indicates that, the fuel consumption reduces 8.5% under a certain operating mode comparing with the traditional bulldozer.",

keywords = "Engine control strategy, Genetic algorithm, Hybrid bulldozer, Parameter optimization",

author = "Hong Wang and Qiang Song and Pu Zeng and Sun, {Feng Chun}",

year = "2014",

month = dec,

day = "1",

language = "English",

volume = "23",

pages = "167--170",

journal = "Journal of Beijing Institute of Technology (English Edition)",

issn = "1004-0579",

publisher = "Beijing Institute of Technology",

}

TY - JOUR

T1 - Research on parameter optimization of control strategy for engine of hybrid tracked bulldozer

AU - Wang, Hong

AU - Song, Qiang

AU - Zeng, Pu

AU - Sun, Feng Chun

PY - 2014/12/1

Y1 - 2014/12/1

N2 - Based on the optimization design, the power train system model of the bulldozer for the engine control strategy parameter optimization that took the minimum fuel consumption as objective function was established. Then, the optimization problem is solved by means of genetic algorithm. The result indicates that, the fuel consumption reduces 8.5% under a certain operating mode comparing with the traditional bulldozer.

AB - Based on the optimization design, the power train system model of the bulldozer for the engine control strategy parameter optimization that took the minimum fuel consumption as objective function was established. Then, the optimization problem is solved by means of genetic algorithm. The result indicates that, the fuel consumption reduces 8.5% under a certain operating mode comparing with the traditional bulldozer.

KW - Engine control strategy

KW - Genetic algorithm

KW - Hybrid bulldozer

KW - Parameter optimization

UR - http://www.scopus.com/inward/record.url?scp=84921031485&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:84921031485

SN - 1004-0579

VL - 23

SP - 167

EP - 170

JO - Journal of Beijing Institute of Technology (English Edition)

JF - Journal of Beijing Institute of Technology (English Edition)

ER -

Research on parameter optimization of control strategy for engine of hybrid tracked bulldozer

Abstract

Keywords

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