Optimized gear shifting strategy of an automated manual transmission based vehicle

A ruled based strategy for the gear shifting process based on optimal control is designed in this report; for this purpose, two vehicles equipped with an automated manual transmission are used for this study. Quasistatic modeling is used to compute the fuel consumption of the vehicle over a predefined driving cycle. Static Optimization is used first to find the maximum fuel savings that can be achieved without any restriction in the shifting command. Dynamic Programming (DP) is used to solve the optimization problem, including a restriction in the shifting command, to provide the benchmark fuel savings that can be achieved using the current power train. Several driving cycles are used in this study including a more realistic driving cycle so called Hurk Cycle and an own created driving cycle so called Test drive cycle . The simulations results using DP showed that fuel savings of more than 15% can be achieved. A Ruled Based (RB) strategy is designed using the simulations results of DP. The fuel savings achieved using the rule based strategies are comparable with the DP algorithm. This RB strategy provides an insight to design a shifting map that can be implementable in a real vehicle