Development of vehicle test system and vehicle state estimation based on GPS/INS integrated navigation system

Q4 Engineering

International Journal of Vehicle Systems Modelling and Testing Pub Date : 2020-07-21 DOI:10.1504/ijvsmt.2020.10030676

Jing Gan, Xiao-bin Fan, Zeng Song, Mingyue Zhang, Bin Zhao

{"title":"Development of vehicle test system and vehicle state estimation based on GPS/INS integrated navigation system","authors":"Jing Gan, Xiao-bin Fan, Zeng Song, Mingyue Zhang, Bin Zhao","doi":"10.1504/ijvsmt.2020.10030676","DOIUrl":null,"url":null,"abstract":"According to the characteristics of an electric vehicle with hub motors, LabVIEW vehicle test system was developed based on GPS/INS integrated navigation system. Based on the dynamics of vehicle system, the estimation of centre-of-mass lateral deviation was designed. Firstly, the universal data acquisition card and the LabVIEW software were used to build the testing system of an electric vehicle with hub motors. The data parameters of GPS/INS integrated navigation system were collected and stored in realtime. Secondly, the dynamic simulation method was used to build a vehicle model with seven degrees of freedom to estimate the driving state parameters. Finally, the experimental data and simulation results were contrasted to analyse the accuracy of the simulation experiment. The experimental results show that the test bed system worked effectively and its ability of data collection and analysis has been effectively improved. The estimation of vehicle state parameter is accurate, which lays a good foundation for the research on electric vehicles with hub motors in future.","PeriodicalId":35145,"journal":{"name":"International Journal of Vehicle Systems Modelling and Testing","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Vehicle Systems Modelling and Testing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijvsmt.2020.10030676","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}

引用次数: 0

Abstract

According to the characteristics of an electric vehicle with hub motors, LabVIEW vehicle test system was developed based on GPS/INS integrated navigation system. Based on the dynamics of vehicle system, the estimation of centre-of-mass lateral deviation was designed. Firstly, the universal data acquisition card and the LabVIEW software were used to build the testing system of an electric vehicle with hub motors. The data parameters of GPS/INS integrated navigation system were collected and stored in realtime. Secondly, the dynamic simulation method was used to build a vehicle model with seven degrees of freedom to estimate the driving state parameters. Finally, the experimental data and simulation results were contrasted to analyse the accuracy of the simulation experiment. The experimental results show that the test bed system worked effectively and its ability of data collection and analysis has been effectively improved. The estimation of vehicle state parameter is accurate, which lays a good foundation for the research on electric vehicles with hub motors in future.

查看原文本刊更多论文

基于GPS/INS组合导航系统的车辆测试系统及车辆状态估计的开发

针对轮毂电机电动汽车的特点，开发了基于GPS/INS组合导航系统的LabVIEW车载测试系统。基于车辆系统的动力学特性，设计了车身质心横向偏差的估计方法。首先，利用通用数据采集卡和LabVIEW软件搭建了一种带轮毂电机的电动汽车测试系统。实时采集并存储GPS/INS组合导航系统的数据参数。其次，采用动态仿真的方法，建立了七自由度车辆模型，估计了车辆的行驶状态参数;最后，将实验数据与仿真结果进行对比，分析仿真实验的准确性。实验结果表明，该试验台系统工作有效，数据采集和分析能力得到了有效提高。整车状态参数估计准确，为今后轮毂电机电动汽车的研究奠定了良好的基础。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

International Journal of Vehicle Systems Modelling and Testing Engineering-Automotive Engineering

CiteScore

0.50

自引率

0.00%

发文量

期刊介绍： IJVSMT provides a resource of information for the scientific and engineering community working with ground vehicles. Emphases are placed on novel computational and testing techniques that are used by automotive engineers and scientists.