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-  2016 

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

DOI: 10.15918/j.jbit1004-0579.201625.0110

Keywords: shift decision generalized road resistance coefficient recursive least square
shift decision generalized road resistance coefficient recursive least square

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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.
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.

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