A Preliminary Study of Virtual Humidity Sensors for Vehicle Systems Univ. of Michigan

Format:

Conference/Event

Author/Creator:

Fang, Fang, author.

Contributor:

Dai, Qi

MacNeille, Perry

Murphey, Yi

Wang, Xipeng

Weber, David

Conference Name:

SAE 2014 World Congress & Exhibition (2014-04-08 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2014

Summary:

AbstractNew 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

Notes:

Vendor supplied data

Publisher Number:

2014-01-1156

Access Restriction:

Restricted for use by site license