Dynamic tests in real vehicle conditions

Author:

Aleksandrov Anton V,Dolgov Ivan A,Morozkin Timofey V,Tsoriev Alan K,Konyushkov Dmitriy S.

Abstract

Abstract The report is devoted to the problem of building feedback with the car during its operation. It analyzes the problems that require feedback from the vehicle, clarifies the reasons why insufficient attention is paid to this issue, and discusses methods for obtaining the most informative data at the lowest cost. When working on the report, the authors relied on the results of their professional activities, which consists in the development and application in practice of diagnostic techniques for automobile internal combustion engines. The least costly and technically easy to implement is getting data from the engine management system controller. To increase the information content of such data, it is required to organize their correct processing and cataloging. You can get information about the progress of the working process in the engine cylinders by means of indication-direct or indirect. The implementation of direct indication is laborious and costly, therefore, with the help of direct indication, the authors of the report develop an indirect indication method based on the analysis of changes in the instantaneous crankshaft speed obtained as a result of processing the signal from the crankshaft position sensor. A promising complex of feedback with a car during operation should receive most of the data on engine operation from the ECM, but to calculate the generated torque, the complex must register a signal from the crankshaft position sensor using an ADC.

Publisher

IOP Publishing

Subject

General Medicine

Reference11 articles.

1. An alternative approach to the assessment of internal combustion engine filling and its technical and economic parameters;Shatrov;International Journal of Emerging Trends in Engineering Research,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3