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Sensitivity analysis and calibration of vehicle HVAC

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journal contribution
posted on 2022-10-24, 10:22 authored by Ahmed Ahmedov, Andrew WatsonAndrew Watson, Kambiz EbrahimiKambiz Ebrahimi, Nilabza DuttaNilabza Dutta

The 1D CFD implemented in complex vehicle models running on multiple software domains via co-simulation is presented. A two-zone cabin compartment model capable of predicting the average thermal conditions during various drive cycles has been created. Sensitivity analysis was carried out to identify the parameters with a significant impact on the cabin thermal response. The cabin model has been calibrated and validated with thermal performance test data. The validated cabin model and a 1D CFD refrigeration circuit model have been integrated into the baseline HVAC system model. The baseline HVAC system performance has been validated against climate chamber physical test data. A theoretical performance comparison between the baseline HVAC system and an electrified HeVAC system have been carried out. The key difference between the systems is that the HVAC system uses a conventional mechanically driven swashplate compressor and the HeVAC system uses a high-efficiency electric scroll compressor. The CoP and the cabin thermal response have been evaluated for both systems.

Funding

Innovate UK

Advanced Propulsion Centre (APC)

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

International Journal of Powertains

Volume

11

Issue

4

Pages

365 - 389

Publisher

Inderscience

Version

  • AM (Accepted Manuscript)

Rights holder

© Inderscience Enterprises Ltd

Publisher statement

This paper was accepted for publication in the journal International Journal of Powertains and the definitive published version is available at https://doi.org/10.1504/IJPT.2022.127868

Acceptance date

2022-01-30

Publication date

2022-12-20

Copyright date

2022

ISSN

1742-4267

eISSN

1742-4275

Language

  • en

Depositor

Dr Andrew Watson. Deposit date: 23 October 2022

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