文献类型：期刊文献

英文题名：A New Method for Online Estimation of the Piston Maximum Temperature in Diesel-Natural Gas Dual Fuel Engine

作者：Fu, Youyao Xiao, Bing Zhang, Chengwei Liu, Jun Fang, Jiangxiong

第一作者：Fu, Youyao

通信作者：Xiao, B[1]

机构：[1]East China Univ Technol, Sch Geophys & Measurement Control Technol, Nanchang 330013, Jiangxi, Peoples R China;[2]South China Univ Technol, Coll Automat Sci & Engn, Guangzhou 510640, Guangdong, Peoples R China;[3]Guizhou Inst Technol, Elect Engn Coll, Guiyang 550003, Guizhou, Peoples R China

第一机构：East China Univ Technol, Sch Geophys & Measurement Control Technol, Nanchang 330013, Jiangxi, Peoples R China

通信机构：corresponding author), South China Univ Technol, Coll Automat Sci & Engn, Guangzhou 510640, Guangdong, Peoples R China.

年份：2018

卷号：140

期号：6

外文期刊名：JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME

收录：;EI(收录号：20181004862846);Scopus(收录号：2-s2.0-85042781253);WOS:【SCI-EXPANDED(收录号:WOS:000430489400008)】；

基金：National Natural Science Foundation of China (Grant No. 61174135).; Natural Science Foundation of Guizhou Province (Grant No. J [2014] 2080).; Natural Science Foundation of Jiangxi Province (Grant No. 2017BAB202028).; Key Research and Development Plan Projects in Jiangxi Province (Grant No. 2016BBE53006).

语种：英文

外文关键词：dual fuel engine; piston maximum temperature (PMT); lasso regression; finite element analysis; NOx emission

摘要：Diesel-natural gas dual fuel engine has gained increasing interesting in recent years because of its excellent power and economy. However, the reliability of the dual fuel engine does not meet the requirements of practical application. The piston maximun temperature (PMT) of the dual fuel engine easily exceeds the security border. In view of this, this paper proposes a method based on the lasso regression to estimate the PMT of the dual fuel engine, so as to real-timely monitor the health state of the dual fuel engine. Specifically, PMTs under some working conditions were offline acquired by the finite element analysis with ANSYS. A model is presented to describe the relationship between the PMT and some indirect engine variables, including NOx emission, excess air coefficient, engine speed, and inlet pressure, and the model parameters are optimized using the lasso regression algorithm, which can be easily implemented by the electronic control unit (ECU). Finally, the model is employed to real-timely estimate the PMT of the dual fuel engine. Experiments reveal that the proposed model produces satisfying predictions with deviations less than 10 degrees C.