Development of a Model to Predict Build-up of Cabin Carbon Dioxide Concentrations in Automobiles for Indoor Air Quality CalsonicKansei North America Incorporated

Format:

Conference/Event

Author/Creator:

Mathur, Mathur, author.

Conference Name:

WCX 17: SAE World Congress Experience (2017-04-04 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2017

Summary:

The author has developed a model that can be used to predict build-up of cabin carbon dioxide levels for automobiles based on many variables. There are a number of parameters including number of occupants that dictates generation of CO2 within the control volume, cabin leakage (infiltration or exfiltration) characteristics, cabin volume, blower position or airflow rate; vehicle age, et cetera Details of the analysis is presented in the paper.Finally, the developed model has been validated with experimental data. The simulated data follows the same trend and matches fairly well with the experimental data. However, there are a few challenges that we need to overcome:With autonomous vehicles on the horizon, cabin Indoor Air Quality (IAQ) will become very important factor for the vehicle control module for making decision to maintain comfortable cabin IAQ

Notes:

Vendor supplied data

Publisher Number:

2017-01-0163

Access Restriction:

Restricted for use by site license