Browse Publications Technical Papers 2014-01-1156
2014-04-01

A Preliminary Study of Virtual Humidity Sensors for Vehicle Systems 2014-01-1156

New vehicle control algorithms are needed to meet future emissions and fuel economy mandates that are quite likely to require a measurement of ambient specific humidity (SH). Current practice is to obtain the SH by measurement of relative humidity (RH), temperature and barometric pressure with physical sensors, and then to estimate the SH using a fit equation. In this paper a novel approach is described: a system of neural networks trained to estimate the SH using data that already exists on the vehicle bus. The neural network system, which is referred to as a virtual SH sensor, incorporates information from the global navigation satellite system such as longitude, latitude, time and date, and from the vehicle climate control system such as temperature and barometric pressure, and outputs an estimate of SH. The conclusion of this preliminary study is that neural networks have the potential of being used as a virtual sensor for estimating ambient and intake manifold's SH.

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:
TECHNICAL PAPER

Engine Control Optimization for Best Fuel Economy with Emission Constraints

770075

View Details

TECHNICAL PAPER

Camless Variable Valve Actuator with Two Discrete Lifts

2015-01-0324

View Details

TECHNICAL PAPER

High-Accuracy Low-Cost Cylinder Pressure Sensor for Advanced Engine Controls

2001-01-0991

View Details

X