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    • Application and Research of HILOMOT in Diesel Engines Extremely Large Sample Test
    DOI：
    Key Words:IC engine  engine optimization  dynamic test  mathematical modeling  HILOMOT model  dynamic modeling toolbox model  design of experiment(DoE)
    Author NameAffiliation
    DU Qianying,NI Jimin,CHEN Qinqing,YUAN Yixi 1.School of Automotive Studies,Tongji University,Shanghai 201804,China
    2.IAV GmbH, Berlin 10587,Germany 
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    Abstract:Based on the dynamic test of a certain diesel engine, the fitting ability of a HILOMOT model to the extremely large sample data was studied (compared to the classical DMT model). Results show that in dealing with an extremely large sample size (75006 working points) such as diesel emissions targets (NOx, CO, THC and soot emissions), the HILOMOT′s error is reduced by an average of 27.7% (the maximum drop is 45.6% ), and the quality of its mathematical modeling is significantly better than that of the classical DMT model. Therefore, the HILOMOT model has some advantages in the field of engine research and development design with a large number of samples.
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