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Model-Based Calibration of an Automotive Climate Control System
Technical Paper
2020-01-1253
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
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.
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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.Data Sets - Support Documents
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