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|Title: ||電動機車電池交換站選定暨電池數量配置最適化;Optimally locating electric scooter battery swap stations with battery deployment|
|Keywords: ||電動機車;電動機車車隊排程;時空網路;網路流動問題;啟發式解法;electric scooter;electric vehicle fleet routing/scheduling;time-space network;network flow problem;heuristic|
|Issue Date: ||2016-10-13 12:06:22 (UTC+8)|
;Affecting by the greenhouse effect, today’s climate has changed. As a result, the awareness of environmental protection is raised. People started to encourage the consciousness of saving energy, reducing carbon dioxide emissions, noise pollution, and air pollution, etc. The concept of “Green Transportation” is based on sustainable developments, by using low pollution of zero pollution energy transportation to reduce carbon dioxide emissions. Therefore, it is a trend that vehicles powered by alternative energy are replacing current vehicles. Also in the development of alternative energy vehicles, electric vehicles are mainstream ones.However, to be more practically, we need to consider the situation that electric scooters would have battery power shortage issue under long distance travels.Therefore, under the consideration of electric scooter usage and fleet operators’ development, this study mainly focuses on deploying battery swap station that with travel routing and scheduling modes; also, to assist the electric scooter industry in arranging battery swap stations more effectively.
The study developed a Battery swap station deploy cum travel routing/scheduling model of electric scooter fleet by utilizing the time-space network flow technique and mathematical programming method. All day trip planning demands must be satisfied by electric scooter fleet, and the related operating constraints are ensured. The model was aimed to minimize the total cost and expected to be an effective planning tool to assist the carrier in routing/scheduling.Mathematically, the model was formulated as an integer network flow problem with side constraints. The study developed one solution algorithms based on the problem properties to solve the problem efficiently.We performed a case study by using data from an electric scooter rental corporation. Computational results of case study were given for evaluating the performance of the proposed model and solution algorithms. Finally, conclusions and suggestions are made based on the computational results were given.
|Appears in Collections:||[土木工程研究所] 博碩士論文|
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