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

Author:

Chen Ziqiang1,Lu Kangbo1,Wang Zhe1,Shi* Lei1,Deng Kangyao1,Luo Xiaochun2

Affiliation:

1. Shanghai Jiao Tong University

2. Shanghai Marine Equipment Research Institute

Abstract

<div class="section abstract"><div class="htmlview paragraph">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.</div></div>

Publisher

Society of Automotive Engineers of Japan

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