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The cold start hydrocarbon emission from the increasing population of two   wheelers in countries like India is one of the research issues to be   addressed. This work describes the prediction of cold start hydrocarbon   emissions from air cooled spark ignition engines through fuzzy logic   technique. Hydrocarbon emissions were experimentally measured from test   engines of different cubic capacity, at different lubricating oil temperature   and at different idling speeds with and without secondary air supply in   exhaust. The experimental data were used as input for modeling average   hydrocarbon emissions for 180 seconds counted from cold start and warm start   of gasoline bike engines. In fuzzy logic simulation, member functions were   assigned for input variables (cubic capacity and idling rpm) and output   variables (average hydrocarbon emission for first 180 seconds at cold start   and warm start). The knowledge based rules were adopted from the analyzed   experimental data and separate simulations were carried out for predicting   hydrocarbon emissions from engines equipped with and without secondary air   supply. The simulation yielded the average hydrocarbon emissions of air   cooled gasoline engine for a set of given input data with accuracy over 90%

Prediction of cold start hydrocarbon emissions of air cooled two wheeler spark ignition engines by simple fuzzy logic simulation