Uphillshift decision strategy of an AMT off-road vehicle based on generalized road resistance coefficient

Hai Ou Liu; Lei Jin; Jia Bao Chen

doi:10.15918/j.jbit1004-0579.201625.0110

Uphillshift decision strategy of an AMT off-road vehicle based on generalized road resistance coefficient

Hai Ou Liu^*, Lei Jin, Jia Bao Chen

^*Corresponding author for this work

China North Industries Corporation

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

3 Citations (Scopus)

Abstract

In order to improve the shift decision strategy for an off-road vehicle with automated manual transmission (AMT), the generalized road resistance coefficient is defined based on the longitudinal dynamics analysis. Vehicle mass and generalized road resistance coefficient are estimated using the recursive least square (RLS) method with multiple forgetting factors. The improved shift schedule is designed based on the generalized road resistance coefficient under uphill road condition. The simulation and real vehicle test verify the effectiveness of improved shift strategy and the improvement of vehicle dynamic performance.

Original language	English
Pages (from-to)	64-70
Number of pages	7
Journal	Journal of Beijing Institute of Technology (English Edition)
Volume	25
Issue number	1
DOIs	https://doi.org/10.15918/j.jbit1004-0579.201625.0110
Publication status	Published - 1 Mar 2016

Keywords

Generalized road resistance coefficient
Recursive least square
Shift decision

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10.15918/j.jbit1004-0579.201625.0110

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title = "Uphillshift decision strategy of an AMT off-road vehicle based on generalized road resistance coefficient",

abstract = "In order to improve the shift decision strategy for an off-road vehicle with automated manual transmission (AMT), the generalized road resistance coefficient is defined based on the longitudinal dynamics analysis. Vehicle mass and generalized road resistance coefficient are estimated using the recursive least square (RLS) method with multiple forgetting factors. The improved shift schedule is designed based on the generalized road resistance coefficient under uphill road condition. The simulation and real vehicle test verify the effectiveness of improved shift strategy and the improvement of vehicle dynamic performance.",

keywords = "Generalized road resistance coefficient, Recursive least square, Shift decision",

author = "Liu, {Hai Ou} and Lei Jin and Chen, {Jia Bao}",

note = "Publisher Copyright: {\textcopyright} 2016 Beijing Institute of Technology.",

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AU - Liu, Hai Ou

AU - Jin, Lei

AU - Chen, Jia Bao

PY - 2016/3/1

Y1 - 2016/3/1

N2 - In order to improve the shift decision strategy for an off-road vehicle with automated manual transmission (AMT), the generalized road resistance coefficient is defined based on the longitudinal dynamics analysis. Vehicle mass and generalized road resistance coefficient are estimated using the recursive least square (RLS) method with multiple forgetting factors. The improved shift schedule is designed based on the generalized road resistance coefficient under uphill road condition. The simulation and real vehicle test verify the effectiveness of improved shift strategy and the improvement of vehicle dynamic performance.

AB - In order to improve the shift decision strategy for an off-road vehicle with automated manual transmission (AMT), the generalized road resistance coefficient is defined based on the longitudinal dynamics analysis. Vehicle mass and generalized road resistance coefficient are estimated using the recursive least square (RLS) method with multiple forgetting factors. The improved shift schedule is designed based on the generalized road resistance coefficient under uphill road condition. The simulation and real vehicle test verify the effectiveness of improved shift strategy and the improvement of vehicle dynamic performance.

KW - Generalized road resistance coefficient

KW - Recursive least square

KW - Shift decision

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

IS - 1

ER -

Uphillshift decision strategy of an AMT off-road vehicle based on generalized road resistance coefficient

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Keywords

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