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Research On Automatic Transmission Intelligent Control Based On Driving Habit Recognition

Posted on:2019-03-14Degree:MasterType:Thesis
Country:ChinaCandidate:B ZouFull Text:PDF
GTID:2382330548957993Subject:Vehicle engineering
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With the rapid development of Chinese automobile market,the car ownership in China is gradually increasing,vehicle users' requirements for comfort and automatic shifting operation are increasing,and requirements of different users for vehicle performance are different,so the research on intelligent vehicle automatic transmission technology is of great significance.The research of automatic transmission control is carried out in this paper.The research object is a dual-clutch automatic transmission,which is independently developed by the Institute of automotive engineering and technology of HeFei University of Technology.The main works are as follows:(1)By analyzing driver's driving behavior and intention,we proposed a recognition method of driving habits based on wavelet neural network and Bayes fusion decision.Firstly,we used wavelet neural network to identify driving style.Then,based on Bayesian fusion decision,data fusion decision of the recognition results is made,driving habit is identified.(2)Concerning qualitative classification and identification of driving habits,different from the existing frequency domain or time-domain analysis methods,we proposed a driving habits recognition method using quantitative analysis.Firstly,we reconstructed the chaotic time series of driving behavior by phase space reconstruction.Then we used the G-P algorithm to calculate the eigenvalue of the chaotic time series and analyzed it.We proposed a driving habit evaluation index based on correlation dimension and Kolmogorov entropy,which can quantitatively evaluate the driver's radicalization and identify driving habits.(3)First,we calculated the basic shift schedule of the vehicle based on the analytical method.For different driving habits,there are different needs for automatic shift control.Then,an automatic shifting correction control strategy based on driving habit recognition was proposed,which can match the different shift correction coefficients with different driving habits.Finally,we built the vehicle dynamics model based on the MATLAB/Simulink simulation software,and verified the effectiveness of shifting control strategy by using the set up shifting rule.(4)We built a driving habit recognition and shifting correction system based on LABVIEW to verify the feasibility of the automatic shifting correction control strategy.
Keywords/Search Tags:driving habits recognition, wavelet neural network, phase space reconstruction, shifting correction, real vehicle test
PDF Full Text Request
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