作者: J.Carlos Zavala , Pannag R. Sanketi , M. Wilcutts , T. Kaga , J.K. Hedrick
DOI: 10.3182/20070820-3-US-2918.00028
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摘要: Abstract The initial 1-2 minutes of operation an automotive spark-ignition engine, commonly called as the “coldstart” period, produces more than 75-80 % hydrocarbon (HC) emissions in a typical drive cycle. Model-based controller development requires accurate, yet simple, models that can run realtime. Simple, intuitive are developed to predict both tailpipe and exhaust temperature during coldstart. Each is chosen be sum first order linear systems based on observation experimental data notion such structure suitable for synthesis. Inputs these AFR , spark timing engine crankshaft speed. A reduced thermodynamic model catalyst also developed. parameters identified using least squares technique. estimates coldstart compared with results good agreement. Submitted Fifth IFAC Symposium Advances Automotive Control