| Summary: | 碩士 === 國立中興大學 === 電機工程學系所 === 98 === In the recent years, global warming has been becoming a serious problem to environment. The green house gas emitted by contributors is one of the major factors, especially, from transportation vehicles. Especially, the road transportation is the largest sector of transportation fuel consumption. To improve the fuel efficiency of freeway vehicles, the method for optimizing the driving strategies based on speed and acceleration commands is proposed.
The decision-making problem of driving strategies is transformed as a combinatorial optimization problem by equally dividing the route into the given number of sections and using speed and acceleration commands. A MATLAB-based simulation software ADVISOR is used to calculate fuel consumption under different operation commands for each section. The simulation results are built in a lookup table for reducing the computation time of optimization procedure. The MAX-MIN ant system algorithm is used to optimize the fuel-efficient driving strategies. A real route model is considered for the optimization experiments. A variety of case studies are optimized by the proposed algorithm by considering different parameters, driving strategies, speed limits, etc. Comparing the fuel-efficient driving strategy to the highest speed driving strategy, it is found that the fuel consumption is reduced in the range of 4 to 13.8 %. In each case study, the capability of optimization driving strategy that for improving fuel economy is shown.
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