Research on the Real-time PM Emission Prediction Method for the Transient Process of Diesel Engine based on Transformer Model

2023-32-0156

09/29/2023

Features
Event
2023 JSAE/SAE Powertrains, Energy and Lubricants International Meeting
Authors Abstract
Content
In order to meet increasingly stringent emission regulations, it is significance to establish a control- oriented transient NOx and PM emission prediction model and improve the accuracy and real-time performance. In this study, the prediction model of transient PM emissions based on Transformer is established. In terms of model accuracy and real-time performance, Transformer emission prediction model is compared with Multilayer perceptron (MLP) neural network and Long-Short Term Memory (LSTM) emission prediction model. The results show that the performance of Transformer transient emission prediction model is superior to other model structures, it can be used for real-time prediction.
Meta TagsDetails
DOI
https://doi.org/10.4271/2023-32-0156
Pages
11
Citation
Chen, Z., Lu, K., Wang, Z., Shi*, L. et al., "Research on the Real-time PM Emission Prediction Method for the Transient Process of Diesel Engine based on Transformer Model," SAE Technical Paper 2023-32-0156, 2023, https://doi.org/10.4271/2023-32-0156.
Additional Details
Publisher
Published
Sep 29, 2023
Product Code
2023-32-0156
Content Type
Technical Paper
Language
English