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

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.