Shift sequence optimization of heavy-duty vehicles with automated manual transmission

Heavy-duty vehicles have larger space to promote both in dynamic performance and fuel economy. A dynamic model of heavy-duty vehicle equipped with automated manual transmission (AMT) is built based on the analysis of gearshift power interruption. A dynamic programming (DP) method is applied to solve the optimal gearshift sequence in known road condition. The performance comparison between original shift schedule and DP strategy is completed. The simulation results show that the optimal gearshift sequence provides good overall performance, including dynamics and fuel economy, by adjusting the fuel consumption and travel time weighting factor. In addition, the optimal gearshift sequence from DP strategy improves the fuel economy in ensuring the dynamics.