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Study On Genaral Arrangements Of Power System For Urban Bus In Cold Region Based On Driving Cycles

Posted on:2016-02-23Degree:DoctorType:Dissertation
Country:ChinaCandidate:Z K YangFull Text:PDF
GTID:1222330470950052Subject:Carrier Engineering
Abstract/Summary:PDF Full Text Request
With the development of Chinese urbanization, large population has concentratedin urban. It leads to road traffic and subway severe congestion. However, under theprotection of bus lanes, with its convenient, flexible, and efficient features, busesbegan to play an increasingly important role in the development of urban transport.However, buses also have the same problem with other fast development industries:development of industry standards is difficult to catch the market’s progress. It has ledto market disorder and frequent accidents. Especially in the Northeast cold regions,the engine power of bus is not enough to give passenger a warm carriage in the coldwinter. Thus bus lost the ability to compete with the private car. So, in order to makethe bus compete with private cars better, improve the urban traffic environment, thestudy of the laws governing the operation of Jilin bus and eventually established tosimultaneously meet the heating and driving General Dynamics Jilin bus systemconfiguration model are particularly important.After in-depth research, the research has been conducted according to the needsof Jilin Province bus group proposed and Jilin Province Transportation Authority. Inorder to study the universal parameter of power system,40bus lines were selected.The bus lines came from the city of Changchun, Jilin, Tonghua and Songyuan. Thedata of Driving cycles was collected by a experiment with the real urban bus in twoyears. After defining the kinematics fragments and characteristic parameter,13660divided kinematics fragments and13selected kinematic eigenvalues composed amatrix. After reducing the matrix by principal component analysis, the matrix hasbeen reconstructed included the kinematics fragments and the corresponding principalcomponent score. The13660kinematics fragments were divided into three categoriesby Fuzzy C-means Clustering. On this basis, abnormal data were removed byPauta criterion. Then according to the characteristic parameter of kinematiceigenvalues, a model on engine power and driving cycles was built, which includedthe heating power in the winter. Finally, three sets of power-weight ratio were built bythe weight and volume of the traditional local bus.The paper contents are summarized as follows:(1) Combining with research situation at home and abroad, based on the analysis of traffic flow, urban planning and the classification of buses. Firstly, the situation ofoperating bus has been researched, including urban development, the plan of bus linesand the needs of carrying ability. Secondly after analyzing Jilin buses runningcharacteristics and shortcomings, according to the features selected fourrepresentatives Urban. Finally, according to the city’s road traffic characteristics,10representative lines in each city have been selected.(2) Firstly, according to national standards, the time of winter experiment hasbeen determined in January2013and January2014. Then set up the experimentalsystem,63days of actual vehicle experiment obtained329750rows experimentaldata last two years. Finally, based on the large number of experimental data, afterdefining characteristic value of segment kinematics, a13660×13Kinematicsfragment—The eigenvalues of matrix has been got.(3) After defining the kinematics fragments and characteristic parameter,13660divided kinematics fragments and13selected kinematic eigenvalues composed amatrix. After reducing the matrix by principal component analysis, the matrix hasbeen reconstructed included the kinematics fragments and the corresponding principalcomponent score. The13660kinematics fragments were divided into three categoriesby Fuzzy C-means Clustering. Finally, six sets of data in different road conditions anddifferent cities were compared, a conclusion has been got, and it is that the overalldata can accurately represent each group of data.(4)1200seconds kinematics fragments were selected to build the ice roadDriving Cycles of bus after screening the correlation coefficient. The result oftolerance analysis showed that the constructed condition commendably reflects theoperation of cold winter bus.(5) On this basis, abnormal data were removed by Pauta criterion. The threereasons which led to the abnormal data have been found. The reasons are:(1) the textroad was covered with snow, the bus was usually slipped when starting andaccelerating because of there was no skid resistance measure;(2) in bus operationalprocess, driver maybe drive fast to get the next station on time, and then taking thedifferent driving behavior from peacetime;(3) viaduct in the city could make the GPSlose signals, the corresponding kinematics fragments would be error prone. In theprevious research experience, according to the built driving cycles, the tested vehicleoccasionally cannot operate on the chassis dynamometer. And the data proved this forthree reasons. Then according to the characteristic parameter of kinematic eigenvalues,a model on engine power and driving cycles was built, which included the heating power in the winter. Finally, three sets of power-weight ratio were calculated by theweight and volume of the traditional local bus.This paper systematically and deep studies the key technology problems aboutthe driving cycles of urban bus in cold region. After analyzing of large amounts ofdata a General Dynamics Jilin bus system configuration model has been established.And based on this model, the appropriate power quality ratio has been calculated.Three sets of power-weight ratio were calculated by the weight and volume of thetraditional local bus. The research provides a theoretical and experimental test basisfor matching bus and building the bus common technical standards in Jilin Province.
Keywords/Search Tags:cold region, urban bus, driving cycles, principal component analysis, fuzzy C-mean clustering, arrangements of power system
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