双燃料发动机温室气体排放预测和影响因素分析

陈晖; 官维; 黄豪中

doi:10.3969/j.issn.1001-2222.2023.04.014

车用发动机 ›› 2023, Vol. 0 ›› Issue (4) : 86-92. DOI: 10.3969/j.issn.1001-2222.2023.04.014

栏目

双燃料发动机温室气体排放预测和影响因素分析

陈晖¹，官维²，黄豪中³

作者信息 +

Prediction and Influencing Factors Analysis of Greenhouse Gas Emission for Dual Fuel Engine

CHEN Hui¹,GUAN Wei²,HUANG Haozhong³

Author information +

文章历史 +

摘要

基于柴油天然气双燃料发动机测试台架中等转速（1 500 r/min）下400，800，1 200，1 600 N·m 4个扭矩工况的试验数据，以发动机扭矩、喷油正时、喷油压力和天然气替代率为模型输入参数，以温室气体CO₂和CH₄排放值为模型输出参数，构建了基于粒子群算法优化的BP神经网络的温室气体排放预测模型。模型的预测结果显示：在测试集上CO₂和CH₄排放预测值的决定系数（R₂）分别为0.997 62和0.998 09，平均绝对百分比误差（MAPE）分别为0.97%和3.85%，模型具有良好的泛化能力和预测精度。基于构建的排放预测模型，采用平均影响值（MIV）算法分析了发动机在中等转速工况下扭矩、喷油正时、喷油压力和天然气替代率对CO₂和CH₄排放的影响，结果显示发动机扭矩对CO₂和CH4排放的影响占主导地位，贡献率分别达到了71.8%和50.8%；当模型中发动机扭矩设定在小负荷工况，天然气替代率对CO₂和CH₄排放的影响权重最大。

Abstract

A greenhouse gas emission prediction model of BP neural network optimized by particle swarm algorithm was established with engine torque, injection timing, injection pressure and natural gas substitute rate as the input parameters and CO₂ and CH₄ greenhouse gas emissions as the output parameters based on the test data achieved under the conditions of 400, 800, 1 200 and 1 600 N·m at 1 500 r/min on diesel/natural gas dual fuel engine test bench. The prediction results of the model show that the coefficients of determination(R₂) of CO₂ and CH₄ predictions on the test set are 0.997 62 and 0.998 09, the mean absolute percentage errors(MAPE) are 0.97% and 3.85%, and the model has good generalization ability and prediction accuracy. With the model, the mean influence value(MIV) algorithm is used to quantitatively analyze the influence of torque, injection timing, injection pressure and natural gas substitute rate on CO₂and CH₄ emissions at 1 500 r/min. The results show that engine torque has a dominant effect on CO₂and CH₄ emissions with a contribution of 71.8% and 50.8% respectively. When engine torque is set at low load condition in the model, the natural gas substitute rate occupies the greatest weight in all influences of CO₂ and CH₄ emissions.

导出引用

陈晖，官维，黄豪中. 双燃料发动机温室气体排放预测和影响因素分析[J]. 车用发动机. 2023, 0(4): 86-92 https://doi.org/10.3969/j.issn.1001-2222.2023.04.014

CHEN Hui,GUAN Wei,HUANG Haozhong. Prediction and Influencing Factors Analysis of Greenhouse Gas Emission for Dual Fuel Engine[J]. Vehicle Engine. 2023, 0(4): 86-92 https://doi.org/10.3969/j.issn.1001-2222.2023.04.014