Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers
The 54th Annual Conference of the Institute of Systems, Control and Information Engineers
Session ID : F363
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Host: Institute of Systems, Control and Information Engineers

HC reduction using Neural Network Virtual A/F sensor on Cold Condition Gasolin Engine
*syunichi Hirao, Katsuhiko Miyamoto
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Keywords: Automotive Engine, Neural Network, Air Fuel ratio control
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Abstract
In the vehicle engine, the amount of 20 seconds after cold starts of HC (unburnt hydrocarbon) exhaust accounts for about 50% of the mode driving. This air/fuel ratio (A/F) control at the period is an open loop and it varies widely. In this paper, it was shown to be able to decrease the HC difference by controlling with A/F sensor made by the neural net work.
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© 2010 The Institute of Systems, Control and Information Engineers
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