Browse Publications Technical Papers 2001-01-0560
2001-03-05

Strategies for Handling the Fuel Additive Problem in Neural Network Based Ion Current Interpretation 2001-01-0560

With the introduction of unleaded gasoline, special fuel agents have appeared on the market for lubricating and cleaning the valve seats. These fuel agents often contain alkali metals that have a significant impact on the ion current signal, thus affecting strategies that use the ion current for engine control and diagnosis, e.g. for estimating the location of the pressure peak. This paper introduces a method for making neural network algorithms robust to expected disturbances in the input signal and demonstrates how well this method applies to the case of disturbances to the ion current signal due to fuel additives containing Sodium. The performance of the neural estimators is compared to a Gaussian fit algorithm, which they outperform. It is also shown that using a fuel additive significantly improves the estimation of the location of the pressure peak.

SAE MOBILUS

Subscribers can view annotate, and download all of SAE's content. Learn More »

Access SAE MOBILUS »

Members save up to 18% off list price.
Login to see discount.
Special Offer: Download multiple Technical Papers each year? TechSelect is a cost-effective subscription option to select and download 12-100 full-text Technical Papers per year. Find more information here.
We also recommend:
JOURNAL ARTICLE

Modeling of Fuel Permeation in Multilayer Automotive Plastic Fuel Tanks

2011-01-0248

View Details

TECHNICAL PAPER

Finite Element Modeling of Fuel Emission for Thermoplastic Multilayer Fuel Tanks with Optimization of Barrier Properties

2006-01-0625

View Details

TECHNICAL PAPER

High Resolution In-Cylinder Scalar Field Measurements during the Compression and Expansion Strokes

2013-01-0567

View Details

X