Model-Based Calibration of an Automotive Climate Control System

2020-01-1253

04/14/2020

Features
Event
WCX SAE World Congress Experience
Authors Abstract
Content
This paper describes a novel approach for modeling an automotive HVAC unit. The model consists of black-box models trained with experimental data from a self-developed measurement setup. It is capable of predicting the temperature and mass flow of the air entering the vehicle cabin at the various air vents. A combination of temperature and velocity sensors is the basis of the measurement setup. A measurement fault analysis is conducted to validate the accuracy of the measurement system. As the data collection is done under fluctuating ambient conditions, a review of the impact of various ambient conditions on the HVAC unit is performed. Correction models that account for the different ambient conditions incorporate these results. Numerous types of black-box models are compared to identify the best-suited type for this approach. Moreover, the accuracy of the model is validated using test drive data. This validation demonstrates the accuracy of the model of 2 K for temperature predictions. Further studies are recommended to quantify the impact of the model inaccuracies on the model-based calibration process.
Meta TagsDetails
DOI
https://doi.org/10.4271/2020-01-1253
Pages
14
Citation
Jahn, P., Lassahn, G., and Qiu, K., "Model-Based Calibration of an Automotive Climate Control System," SAE Technical Paper 2020-01-1253, 2020, https://doi.org/10.4271/2020-01-1253.
Additional Details
Publisher
Published
Apr 14, 2020
Product Code
2020-01-1253
Content Type
Technical Paper
Language
English