Abstract
Test results from many researchers show that NOx emissions from parts of on-road heavy-duty diesels are higher than which been registered. Therefore, CN_VI emission regulations clearly proposes that the heavy-duty diesels should be supervised by a T-BOX which can transmit CAN message from vehicle OBD interface to the remote monitoring platform. Recognition of cheating behaver and calculation method of NOx emission were developed and verified by platform data from on-line vehicle. The modules in the platform can effectively monitor urea consumption rationality, injection system working state, exhaust temperature sensor signal reasonability, NOx sensor signal reasonability and NOx emission level, which can reduce the cost of supervision and governance, improve the effectiveness of regulation and provide basic data for policy making.
Highlights
There is a long time since domestic research on vehicle remote monitoring platform have been started
Confirming the proportionality relationship between the accumulated injected urea over a period of time when dosing on and the accumulated tail pipe nitrogen oxide (NOx) emission. If this ratio is too low, it should be identified but not alarmed either, If the ratio of urea consumption to tail pipe NOx emission is within a reasonable range, but the DeNOx efficiency calculated by NOx sensor downstream is too low, the corresponding relationship between the cumulative urea injection volume and urea level change in tank will be further compared
The above methods can detect unreasonable urea consumption, and can further identify a series of root causes that may lead to this unreasonable phenomenon, so that the abnormal working status of SCR system can be identified, and the inefficient SCR system can be precisely distinguished by environmental protection department, contributing to the reduction of NOx emissions
Summary
There is a long time since domestic research on vehicle remote monitoring platform have been started. The information uploaded is limited, which cannot collect vehicle OBD interface data in depth, and limits the potential of platform data mining; In addition, He Penglin [5] et al set up a warning and monitoring platform for excessive emission of automobile exhaust in Shenzhen using OBDII auto-diagnosis and wireless communication technology; Dong Xiaoling[6] of Beijing University of Technology established a modular and extensible framework of automobile remote diagnosis and status monitoring system by using the spatial separation method of TRIZ theory, and built a software system of remote diagnosis based on OBD device, mobile APP and remote server; Yan Xupu [7] of Beijing University of Technology has established a monitoring platform with preliminary functions for the design of a remote monitoring system for vehicle exhaust emissions based on OBD data These researches mainly focus on data collection methods, data upload methods, data management,. The above monitoring schemes focused on acquisition and calculation of emission information, which does not involve solutions for excessive vehicle emissions judgement, is difficult to adequately fulfill the requirements of platform users (regulatory authorities)
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