Road Roughness Identification and Shift Control Study for a Heavy-duty Powertrain

Pan Liu; Bolan Liu; Tianpu Dong; Chuang Zhang

doi:10.1016/j.egypro.2017.03.645

Road Roughness Identification and Shift Control Study for a Heavy-duty Powertrain

Pan Liu, Bolan Liu^*, Tianpu Dong, Chuang Zhang

^*Corresponding author for this work

School of Mechanical Engineering

Beijing Institute of Technology

Research output: Contribution to journal › Conference article › peer-review

6 Citations (Scopus)

Abstract

The road condition of heavy-duty vehicles is generally complex, which includes rugged and bumpy terrain etc. The undesired shifting phenomenon occurs easily. Thus, the fuel consumption and pollution increase and the vehicles' dynamic driving performance decline significantly. In this paper, an intelligent shift control method based on the identification of road roughness level is developed. The road roughness level is reflected by engine speed change rate signal. Then, the shift control model is built to modify the shift points. The method is validated by the simulation and test data. The results prove that the methods are validity and feasibility.

Original language	English
Pages (from-to)	2885-2890
Number of pages	6
Journal	Energy Procedia
Volume	105
DOIs	https://doi.org/10.1016/j.egypro.2017.03.645
Publication status	Published - 2017
Event	8th International Conference on Applied Energy, ICAE 2016 - Beijing, China Duration: 8 Oct 2016 → 11 Oct 2016

Keywords

Engine Speed Rate
Heavy-duty Vehicle
Road roughness
Shift Control
Threshold

Access to Document

10.1016/j.egypro.2017.03.645

Cite this

@article{2eccee080f8e4ab0a8e124e9d8f1ef3e,

title = "Road Roughness Identification and Shift Control Study for a Heavy-duty Powertrain",

abstract = "The road condition of heavy-duty vehicles is generally complex, which includes rugged and bumpy terrain etc. The undesired shifting phenomenon occurs easily. Thus, the fuel consumption and pollution increase and the vehicles' dynamic driving performance decline significantly. In this paper, an intelligent shift control method based on the identification of road roughness level is developed. The road roughness level is reflected by engine speed change rate signal. Then, the shift control model is built to modify the shift points. The method is validated by the simulation and test data. The results prove that the methods are validity and feasibility.",

keywords = "Engine Speed Rate, Heavy-duty Vehicle, Road roughness, Shift Control, Threshold",

author = "Pan Liu and Bolan Liu and Tianpu Dong and Chuang Zhang",

note = "Publisher Copyright: {\textcopyright} 2017 The Authors.; 8th International Conference on Applied Energy, ICAE 2016 ; Conference date: 08-10-2016 Through 11-10-2016",

year = "2017",

doi = "10.1016/j.egypro.2017.03.645",

language = "English",

volume = "105",

pages = "2885--2890",

journal = "Energy Procedia",

issn = "1876-6102",

publisher = "Elsevier Ltd.",

}

TY - JOUR

T1 - Road Roughness Identification and Shift Control Study for a Heavy-duty Powertrain

AU - Liu, Pan

AU - Liu, Bolan

AU - Dong, Tianpu

AU - Zhang, Chuang

PY - 2017

Y1 - 2017

N2 - The road condition of heavy-duty vehicles is generally complex, which includes rugged and bumpy terrain etc. The undesired shifting phenomenon occurs easily. Thus, the fuel consumption and pollution increase and the vehicles' dynamic driving performance decline significantly. In this paper, an intelligent shift control method based on the identification of road roughness level is developed. The road roughness level is reflected by engine speed change rate signal. Then, the shift control model is built to modify the shift points. The method is validated by the simulation and test data. The results prove that the methods are validity and feasibility.

AB - The road condition of heavy-duty vehicles is generally complex, which includes rugged and bumpy terrain etc. The undesired shifting phenomenon occurs easily. Thus, the fuel consumption and pollution increase and the vehicles' dynamic driving performance decline significantly. In this paper, an intelligent shift control method based on the identification of road roughness level is developed. The road roughness level is reflected by engine speed change rate signal. Then, the shift control model is built to modify the shift points. The method is validated by the simulation and test data. The results prove that the methods are validity and feasibility.

KW - Engine Speed Rate

KW - Heavy-duty Vehicle

KW - Road roughness

KW - Shift Control

KW - Threshold

UR - http://www.scopus.com/inward/record.url?scp=85020725468&partnerID=8YFLogxK

U2 - 10.1016/j.egypro.2017.03.645

DO - 10.1016/j.egypro.2017.03.645

M3 - Conference article

AN - SCOPUS:85020725468

SN - 1876-6102

VL - 105

SP - 2885

EP - 2890

JO - Energy Procedia

JF - Energy Procedia

T2 - 8th International Conference on Applied Energy, ICAE 2016

Y2 - 8 October 2016 through 11 October 2016

ER -

Road Roughness Identification and Shift Control Study for a Heavy-duty Powertrain

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this