| 基于偏最小二乘回归的柴油机微粒排放预测 |
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| 引用本文： | 冀树德,韩耀军,许世永,张伟,闫瑞琦,贾桢,杨天军,焦志华.基于偏最小二乘回归的柴油机微粒排放预测[J].车用发动机,2011(4):52-54. |
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| 作者姓名： | 冀树德 韩耀军 许世永 张伟 闫瑞琦 贾桢 杨天军 焦志华 |
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| 作者单位： | 1. 中国北方发动机研究所,山西大同,037036
2. 中国人民解放军总装备部装甲军事代表局,北京,100851 |
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| 摘 要： | 介绍了偏最小二乘回归算法的基本原理和详细算法步骤,分析了CO,HC和炭烟与微粒排放的相关性。以CO,HC和炭烟综合排放为自变量,以微粒综合排放为因变量,建立了基于偏最小二乘回归法的微粒预测模型。针对新优化匹配的参数,利用该模型对ESC循环每工况微粒排放进行预测。结果表明,模型预测结果与实测结果间差异仅为0.8%,验证了预测模型的可行性。
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| 关 键 词： | 柴油机 偏最小二乘法 微粒 预测 数学模型 |
Prediction of Diesel Engine PM Emission Based on PLSR |
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| JI Shu-de,HAN Yao-jun,XU Shi-yong,ZHANG Wei,YAN Rui-qi,JIA Zhen,YANG Tian-jun,JIAO Zhi-hua.Prediction of Diesel Engine PM Emission Based on PLSR[J].Vehicle Engine,2011(4):52-54. |
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| Authors: | JI Shu-de HAN Yao-jun XU Shi-yong ZHANG Wei YAN Rui-qi JIA Zhen YANG Tian-jun JIAO Zhi-hua |
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| Institution: | 1(1.China North Engine Research Institute,Datong 037036,China;2.The Armored Forces Military Representative Bureau of the PLA General Equipment Headquarters,Beijing 100851,China) |
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| Abstract: | The basic principle and detail algorithm steps of partial least square regression(PLSR) were introduced and the relativity between CO,HC,SOOT and PM was analyzed.Taking the CO,HC and SOOT synthetical emission as independent variables and taking the PM synthetical emission as cause variable,the PM prediction model of PLSR was established.For newly-optimized parameters,the PM emission of each condition in the ESC was predicted with the model.The results show that the difference between calculated and actual results is only 0.8%,which proves the feasibility of the prediction model. |
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| Keywords: | diesel engine partial least square regression(PLSR) particulate(PM) prediction mathematical model |
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