Transient A/F Estimation and Control Using a Neural Network

970619

02/24/1997

Event
International Congress & Exposition
Authors Abstract
Content
A new estimator for IC engine A/F ratio is described. A/F ratio is important for engine operation since it determines the quantities of engine emissions, such as HC, CO, NOx, the conversion efficiency of catalyst systems, and the engine combustion stability. The A/F ratio estimator described in this paper is based on a fundamental metric that relies on inducing and detecting crankshaft speed fluctuations caused by modulating the engine's fuel injection pulse widths. Fuel pulse width modulation varies the instantaneous combustion A/F ratio crankshaft velocity. Synchronous measurement of crankshaft velocity provides a metric that, when used with other engine state variables as inputs to a conventional neural network, can accurately estimate A/F ratio. The estimator provides A/F information when a physical sensor is not available. This paper discusses the design of the A/F ratio neural network estimator, the transient performance during cold start operation, and the transient performance of a closed loop A/F ratio control system using the estimator for A/F ratio feedback.
Meta TagsDetails
DOI
https://doi.org/10.4271/970619
Pages
10
Citation
Asik, J., Peters, J., Meyer, G., and Tang, D., "Transient A/F Estimation and Control Using a Neural Network," SAE Technical Paper 970619, 1997, https://doi.org/10.4271/970619.
Additional Details
Publisher
Published
Feb 24, 1997
Product Code
970619
Content Type
Technical Paper
Language
English