發(fā)布時(shí)間：2018-05-04 03:10

  本文選題：GPS + 私人乘用車��； 參考：《清華大學(xué)》2013年碩士論文

【摘要】：北京市高達(dá)500萬(wàn)輛的汽車保有量，導(dǎo)致了車用能源消耗量的大幅增加和尾氣排放引發(fā)的環(huán)境問(wèn)題加劇。以純電驅(qū)動(dòng)為代表的新能源汽車具有顯著降低傳統(tǒng)車用燃料消耗和區(qū)域范圍內(nèi)直接污染物排放的優(yōu)勢(shì)，成為今后技術(shù)研發(fā)和產(chǎn)業(yè)化發(fā)展的重點(diǎn)。在目前車用動(dòng)力電池較低的能量密度技術(shù)水平和較高的生產(chǎn)成本下，根據(jù)車輛出行特征優(yōu)化新能源汽車的關(guān)鍵參數(shù)，對(duì)于其產(chǎn)業(yè)化快速推進(jìn)具有重要的意義；同時(shí)出行特征也是評(píng)估電能和液體燃料在車用能源中構(gòu)成比例的關(guān)鍵影響因素之一。本文旨在通過(guò)先進(jìn)的GPS技術(shù)研究北京市私人乘用車的出行特征，包括里程分布和行駛工況兩部分內(nèi)容。 首先，搭建了基于GPS的出行特征數(shù)據(jù)庫(kù)平臺(tái)，采用被動(dòng)式調(diào)查方法客觀真實(shí)的獲取志愿車日常出行數(shù)據(jù)；其次，進(jìn)行了出行特征的時(shí)空分析，包括里程分布、時(shí)間分布和頻次分布在工作日與非工作日的差異；第三，根據(jù)里程分布，進(jìn)行了電動(dòng)汽車的里程適用性和平均能耗評(píng)價(jià)的分析；最后，使用運(yùn)動(dòng)學(xué)片段合成法完成了北京市不同運(yùn)行工況的構(gòu)建和比較。 本研究的主要成果：第一，完成了2012年6月至2013年3月間北京市112輛私人乘用車2003車天、4892次出行，總計(jì)1×10~5km的出行數(shù)據(jù)采集和有序儲(chǔ)存。第二，北京市私人乘用車的日出行里程服從伽瑪分布，工作日和雙休日的伽瑪分布參數(shù)不同，形狀參數(shù)分別為1.20和1.25，尺度參數(shù)分別為3.83×10~(-2)和3.12×10~(-2)；非節(jié)假日的出行里程為35.4km，工作日、雙休日、節(jié)假日分別為31.4km、39.1km和48.0km；日均出行時(shí)間為1.6h，，每天平均出行2.4次，每次平均出行14.6km。第三，對(duì)于續(xù)駛里程為50km的純電動(dòng)汽車，單次充電能滿足78%的非節(jié)假日出行，兩次充電提高到93%；同時(shí)，基于里程分布完成了北京地區(qū)插電式混合動(dòng)力汽車（PHEV）的效用因子（UF）公式擬合回歸，分析了PHEV在北京的實(shí)際燃油消耗比在美國(guó)低的主要原因。第四，北京三環(huán)內(nèi)區(qū)域上下班高峰期和五環(huán)外區(qū)域非高峰期的工況特征具有顯著的差異性，主要參數(shù)分別是怠速時(shí)間比例為41%和26%、平均行駛速度為26km/h和31km/h、平均加速度為0.7m/s~2和0.6m/s~2等。
[Abstract]:The amount of 5 million cars in Beijing is up to 5 million vehicles, which has led to a sharp increase in energy consumption and the aggravation of environmental problems caused by exhaust emissions. The new energy vehicle driven by YISHION electric drive has the advantage of significantly reducing the consumption of traditional vehicle fuel and the discharge of direct pollutants in the region, and becoming a technology research and development and industry in the future. At present, under the low energy density technology level and high production cost of vehicle power battery, the key parameters of the new energy vehicle are optimized according to the vehicle travel characteristics, and it is of great significance for the rapid industrialization of the vehicle. At the same time, the travel characteristics also evaluate the composition of the power and the liquid fuel in the vehicle energy. One of the key factors affecting the proportion is the study of the travel characteristics of Beijing private passenger car through advanced GPS technology, including two parts of mileage distribution and driving condition.
First, a GPS based travel feature database platform is built, and the passive survey method is used to objectively and objectively obtain the daily travel data of the voluntary vehicle. Secondly, the time and space analysis of the travel characteristics is carried out, including the mileage distribution, the time distribution and the frequency distribution difference between the working day and the non working day. Third, according to the mileage distribution, it is carried out. The suitability of electric vehicle mileage and the evaluation of average energy consumption are analyzed. Finally, the construction and comparison of different operating conditions in Beijing are completed by using the kinematic fragment synthesis method.
The main results of this study are as follows: first, we completed 112 private passenger cars in Beijing from June 2012 to March 2013, with a total of 2003 car days, 4892 trips, a total of 1 x 10~5km travel data collection and orderly storage. Second, the daily trip mileage of the private passenger cars in Beijing is subject to gamma distribution, and the gamma distribution parameters of the working day and the double weekend are different. The parameters are 1.20 and 1.25 respectively, and the scale parameters are 3.83 x 10~ (-2) and 3.12 x 10~ (-2) respectively. The trip mileage of non holiday is 35.4km, working day, and holiday is 31.4km, 39.1km and 48.0km, the average daily travel time is 1.6h, the average trip is 2.4 times a day, the average travel is 14.6km. third, and the driving mileage is 50km pure. The electric vehicle can meet 78% non holiday trip and two charge to 93%. At the same time, based on the mileage distribution, the utility factor (UF) formula regression of the intercalation hybrid electric vehicle (PHEV) in Beijing is completed, and the main reason that the actual burning oil consumption of PHEV in Beijing is lower than that in the United States is analyzed. Fourth, in the third ring of Beijing. There are significant differences between the peak period of regional work and the non peak period of the five rings. The main parameters are 41% and 26%, the average speed is 26km/h and 31km/h, the average acceleration is 0.7m/s~2 and 0.6m/s~2.

【學(xué)位授予單位】：清華大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：P228.4;U491

【參考文獻(xiàn)】

相關(guān)期刊論文 前4條

1 羅卓偉;胡澤春;宋永華;楊霞;占愷嶠;吳俊陽(yáng);;電動(dòng)汽車充電負(fù)荷計(jì)算方法[J];電力系統(tǒng)自動(dòng)化;2011年14期

2 林秀麗;湯大鋼;丁焰;尹航;吉U

本文編號(hào)：1841313