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There are thousands of truck models in the market. It is necessary to study the distribution characteristics of motor power since the rated power mismatch is a very serious problem currently. The truck models of maximum total mas range from 5 tons to 7 tons have been analyzed. Construct statistics for different hypotheses distributions, estimate their values, test the goodness of these distribution hypotheses and determine their distribution characteristics. Introduction There are thousandsof truck models in the market.Improper configuration design will result in the power mismatch, weak safety, performance loss and service life decrease [1] etc. Currently, rated power mismatch is a very common and serious problem. In order to study present situation of power mismatch, we should acquire as many as possible truck models and sort out them by maximum total mass(MTM) to study distribution character of the motor power. We have analyzed the sample data of MTM range from 5 tons to 7 tons. Assuming that motor power follows some distributions, we construct statistics of various distributions, estimate values and test the goodness of these distribution hypotheses [2]. Research Method Motor Truck Category. The proper motor power is relative to MTM. More MTM, more power. The MTM of motor truck vary from 3.5 tons to 31 tons. With constant sample size,a narrower MTM range will provide highprecision of the rated power average but reduce sample quantityfor each category. By reference to the category method of the fuel-consumption-limits standard[3] and other classification methods, motor truck models can be classified asalmost 2 tons interval for each categorywhich results in a proper precision with a necessary sample size for each category. Sample. Truck parameters can be acquired from many ways such as books, truck plants, automotive websites [4], vehicle forums, auto 4S shops etc. The most authoritative data source is truck plant.As a good starti, we have acquired thousands of motor truck data of MTM range from 5 tons to 7 tons from truck plants. In order to eliminate distractionsof one model corresponding to various configurations (one model assembled with the same motor types), the same model with various configurations should be merged into one line. Data Analysis.(1)Distribution character By studying the scatter diagram and frequency chart of the rated power, the distributionof data focusing in the middle and decreasing on both sides is significant. According to the statistics theory,normal distribution,lognormal distribution, Weibull distribution and Gamma distribution comply with the above feature [5,6]. (2)Hypothesis distribution theory There are many methods toconstructstatistic. The statistic based on the difference between the empirical distribution function (EDF) and the theoretical distribution function is called EDF statistic [7].For continuous vary, the test of goodness of fit is better than χ test. And EDF statistics have nothing to do with the group methods [8].Follow the three steps to study the distribution of motor power. (1) Compute the estimated parameter values of hypothesis function using maximum likelihood method (MLE). (2) Construct -Statistics, -Statistics and -Statistics. (3) Test the 3rd International Conference on Mechanical Engineering and Intelligent Systems (ICMEIS 2015) © 2015. The authors Published by Atlantis Press 335

Study On Distribution Characteristics Of Rated Power For Motor Truck