scholarly journals Research on Technical Characteristics of CDPF + SCR for China-III Heavy-Duty Diesel Vehicles Emission Retrofit Based on Remote Monitoring Method

2020 ◽  
Vol 1575 ◽  
pp. 012189
Author(s):  
Jiguang Wang ◽  
Zhenkai Xie ◽  
Hao Chen ◽  
Xiaowen Zhang
2021 ◽  
Vol 268 ◽  
pp. 01006
Author(s):  
Tiantian Wang ◽  
Yayu Cheng ◽  
Jie Hu ◽  
Chuan Wan ◽  
Bifeng Zou

Test results from many researchers show that NOx emission from many on-broad heavy-duty diesel vehicles is higher than which been registered. Therefore, CN_VI emission regulations clearly proposes that the heavy-duty diesel vehicles should be supervised by a T-BOX which can transmit CAN message from vehicle OBD interface to the remote monitoring platform. Based on the formation mechanism of NOx emission and the variety of OBD data flow, the LSTM (Long Short-Term Memory) neural network model inputs such as engine speed, torque, atmospheric pressure, coolant temperature, fuel consumption rate and intake air mass flow are selected by using partial least square method (PLS). 19877 groups of data from engine test results were used for model training and verification, the root mean square error of training and test are RTR = 29.7 × 10-6 and RTE = 19.9 × 10-6,with a high prediction accuracy which can fully meet the requirements of the SCR system DeNOx performance diagnosis module in the OBD remote monitoring system.


2019 ◽  
Vol 53 (9) ◽  
pp. 5504-5511 ◽  
Author(s):  
Yi Tan ◽  
Paul Henderick ◽  
Seungju Yoon ◽  
Jorn Herner ◽  
Thomas Montes ◽  
...  

2011 ◽  
Vol 45 (14) ◽  
pp. 6073-6079 ◽  
Author(s):  
Kent C. Johnson ◽  
Thomas D. Durbin ◽  
Heejung Jung ◽  
David R. Cocker ◽  
Dipak Bishnu ◽  
...  

2002 ◽  
Vol 36 (2) ◽  
pp. 270-275 ◽  
Author(s):  
Janet Yanowitz ◽  
Michael S. Graboski ◽  
Robert L. McCormick

2014 ◽  
Vol 35 (9) ◽  
pp. 1438-1445 ◽  
Author(s):  
Fudong Liu ◽  
Wenpo Shan ◽  
Dawei Pan ◽  
Tengying Li ◽  
Hong He

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