会议专题

Study of vehicle braking model and simulation

In order to accurate calculation vehicle pre-braking speed by the regression analysis data of vehicle braking speed, comparing and analyzing with LS estimation algorithm, instrumental variable estimation algorithm, generalized least squares estimation algorithm and Cor-LS algorithm, LS estimation algorithms is used to study on parameter estimation of the vehicle braking model, introducing multiple linear regression theory, building the pre-brake speed regression model. By using the simulation data, to calculate the braking system dynamic growth factor, to gain pre-braking speed regression model. Solved the problem of calculating vehicle brake speed. In the end, through the high-precision vehicle dynamics simulation model (veDYNA) platform to simulation, comparing the speed model and original model to verify the model speed validity and accuracy, the simulation results show good results

LS model Cor-LS regressitm coefficient least- squares algorithm braking imprint

LIU Zhan-qing NING Shi-yong

School of Computer & Information Engineering Harbin University of Commerce Harbin , China

国际会议

The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

太原

英文

221-224

2010-10-22(万方平台首次上网日期,不代表论文的发表时间)