Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/8876
標題: 高速公路車輛省油駕駛策略之最佳化
Optimization of Fuel-Efficient Driving Strategies for the Freeway Vehicle
作者: 王啟鑌
Wang, Chi-Pin
關鍵字: ADVISOR;ADVISOR;driving strategy;freeway vehicle;fuel efficiency;MAX-MIN ant system;駕駛策略;高速公路車輛;節能;最大-最小螞蟻系統
出版社: 電機工程學系所
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摘要: 
近年來地球的暖化已經成為一個嚴重的環境問題,而溫室氣體則是造成暖化的原因之一。溫室氣體的排放包含許多來源,其中一個主要來源就是交通的運輸。特別是道路上的交通運輸,它消耗了最多的交通運輸能源。為了改善高速公路上車輛的行車油耗,提出了以速度與加速度命令為基礎的駕駛策略最佳化方法。
駕駛策略的決策問題定義為一個組合式最佳化問題,將路線依一定數量分割為等長度的區間。在進行決策前,利用一個以MATLAB為基礎的模擬軟體ADVISOR來計算各個區間在不同操作命令下的油耗。這些模擬結果將建立成對照表,用來快速地計算最佳化中的目標函數並減少最佳化運算時的所需時間。最後這個駕駛策略最佳化的組合式問題將藉由最大-最小螞蟻系統(MMAS)演算法來進行最佳化。最佳化實驗中,將使用一個實際的路線模型來做實驗。接著使用前述的演算法在數個不同的個案裡進行最佳化,並比較其中不同的參數,駕駛策略,速度限制,等其他因數。使用節能駕駛策略比起使用最高速限駕駛策略,可以節省顯著的油耗。在個案中驗證了節能駕駛策略改善油耗與線上最佳化的能力。

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.
URI: http://hdl.handle.net/11455/8876
其他識別: U0005-2008201019073800
Appears in Collections:電機工程學系所

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