【摘要】：為了應對環(huán)境的日益惡化和國際能源的極度緊張,以電動汽車為主的新能源汽車的工業(yè)化發(fā)展逐漸被提上了議事日程。電動汽車的大量引入將對電網(wǎng)的負載帶來較大沖擊。電動汽車續(xù)駛里程較短,充電基礎設施建設尚不完善,這些都將給電動汽車用戶出行帶來諸多不便,成為我國電動汽車大規(guī)模推廣和運營中面臨的實際問題。 傳統(tǒng)有序充電方法的關注點在于平衡電網(wǎng)峰谷差,對于車主和充電相關運營商的利益并沒有做過多考慮。為此,論文針對電動汽車的能量補給特性,并充分考慮充電站的動態(tài)運營負載,分別構建了車輛的時間成本評估模型和用電模型,以充電站為特殊節(jié)點,在原始道路拓撲圖的基礎上構建了能量可達圖,對電動汽車實施合理的充電引導,從而一定程度上減弱甚至消除電動汽車電量的限制。論文采用美國圣安東尼奧地區(qū)地圖作為初始拓撲圖,對提出的方法進行了仿真驗證。結果表明,論文方法在優(yōu)化電動汽車出行成本和平衡充電站的負載方面,明顯優(yōu)于其他充電調度方式�；谡撐奶岢龅挠行虺潆娬{度策略,設計并實現(xiàn)了電動汽車有序充電調度智能服務原型。 論文首先介紹了研究背景和相關技術,然后給出了服務的運行場景。從電動汽車用戶和運營商兩個角度,對系統(tǒng)需求進行了分解。在需求分析的基礎上,設計了有序充電調度關鍵算法和智能服務系統(tǒng)的總體功能架構,并進行了模塊的劃分和接口設計。定義了關鍵模塊的類圖,并針對主要子服務給出詳細的方法流程設計,完成了系統(tǒng)的設計與實現(xiàn)工作。最后對有序充電服務原型系統(tǒng)進行了功能測試,測試結果表明系統(tǒng)基本符合需求分析。論文結尾對有序充電調度服務的研發(fā)過程進行了總結,.并指出了未來的研究方向。
[Abstract]:In order to cope with the worsening of environment and the extreme tension of international energy, the industrialization and development of new energy vehicles, which are mainly electric vehicles, have been put on the agenda gradually. The introduction of a large number of electric vehicles will have a great impact on the load of the power grid. The short driving mileage of electric vehicles and the imperfect construction of charging infrastructure will bring many inconvenience to the users of electric vehicles and become the practical problems in the large-scale promotion and operation of electric vehicles in China. The focus of the traditional orderly charging method is to balance the peak and valley difference of power grid, and the interests of vehicle owners and charging operators are not considered too much. Therefore, aiming at the energy recharge characteristic of electric vehicle, and considering the dynamic operation load of charging station, the time cost evaluation model and electric model of vehicle are constructed respectively, and the charging station is regarded as the special node. On the basis of the original road topology diagram, the energy can Datuk is constructed, and the reasonable charge guidance is carried out to the electric vehicle, so as to weaken or even eliminate the limitation of the electric vehicle power to a certain extent. In this paper, the San Antonio area map is used as the initial topology map, and the proposed method is verified by simulation. The results show that the proposed method is superior to other charging scheduling methods in optimizing the travel cost of electric vehicles and balancing the load of charging stations. Based on the orderly charging scheduling strategy proposed in this paper, an intelligent service prototype of ordered charging scheduling for electric vehicles is designed and implemented. Firstly, the research background and related technologies are introduced, and then the running scenario of the service is given. From the electric vehicle user and the operator two angles, has carried on the decomposition to the system demand. On the basis of requirement analysis, the key algorithm of orderly charging scheduling and the overall functional framework of intelligent service system are designed, and the module partition and interface design are carried out. The class diagram of the key module is defined, and the detailed method flow design for the main sub-services is given. The design and implementation of the system are completed. Finally, the function test of the prototype system of orderly charging service is carried out, and the test results show that the system basically accords with the requirement analysis. At the end of the paper, the research and development process of orderly charge scheduling service is summarized. And pointed out the future research direction.
【學位授予單位】：北京郵電大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：U491.8

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本文編號：2278085