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Digital Automotive AC Pulldown Prediction in a Real Driving Condition
ISSN: 0148-7191, e-ISSN: 2688-3627
Published December 30, 2019 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
Event: Automotive Technical Papers
Automotive Original Equipment Manufacturers (OEMs) are always striving to deliver fast Air-Conditioning (AC) pulldown performance with consistent distribution of cabin temperature to meet customer expectations. The ultimate test is the OEM standard, called “AC Pull Down,” conducted at high ambient temperature and solar load conditions with a prescribed vehicle drive cycle. To determine whether the AC system in the vehicle has the capacity to cool the cabin, throughout the drive cycle test, cabin temperature measurements are evaluated against the vehicle target. If the measured cabin temperatures are equal or lower than the required temperatures, the AC system is deemed conventional for customer usage.
In this paper, numerical predictions of the cabin temperatures to replicate the AC pulldown test are presented. The AC pulldown scenario is carried out in a digital Climatic Wind Tunnel simulation. The solution used in this study is based on a coupled approach. With this method, convection is solved using PowerFLOW, a Lattice Boltzmann Method (LBM)-based flow solver, while conduction/radiation are solved using PowerTHERM thermal solver. Cooling loads, reproducing a drive cycle with changing vehicle speeds and compressor speeds, are obtained from the integrated modeling of PowerTHERM with a system modeling tool. Cabin air and surface temperatures corresponding to hours of physical soak, driven by natural convection followed by AC pull down with forced convection, are captured accurately. Results of temperatures from simulation show strong correlation with the experimental results and give a very good insight on design and operating changes that can improve cabin temperature requirements.
- Vijaisri Nagarajan - Dassault Systemes Simulia
- Chin-Wei Chang - Dassault Systemes, Simulia Corp
- Kamalesh Bhambare - Dassault Systemes, Simulia Corp
- Adrien Mann - Dassault Systemes, Simulia Corp
- Edward Tate - Dassault Systemes, Simulia Corp
- Abdelhakim Aissaoui - Dassault Systemes, Simulia Corp
- Varun Ranadive - Mahindra Automotive, North America
- Akella Sarma - Mahindra Research Valley
- Matthew Garrisi - Mahindra Automotive, North America
CitationNagarajan, V., Chang, C., Bhambare, K., Mann, A. et al., "Digital Automotive AC Pulldown Prediction in a Real Driving Condition," SAE Technical Paper 2019-01-5090, 2019, https://doi.org/10.4271/2019-01-5090.
Data Sets - Support Documents
|[Unnamed Dataset 1]|
- Rugh, J.P., Chaney, L., Lustbader, J., and Meyer, J. , “Reduction in Vehicle Temperatures and Fuel Use from Cabin Ventilation, Solar-Reflective Paint and a New Solar-Reflective Glazing,” SAE Technical Paper 2007-01-1194 , 2007, https://doi.org/10.4271/2007-01-1194.
- Fayazbakhsh, M.A. and Bahrami, M. , “Comprehensive Modeling of Vehicle Air Conditioning Loads Using Heat Balance Method,” SAE Technical Paper 2013-01-1507 , 2013, https:doi.org/10.4271/2013-01-1507.
- Fujita, A., Kanemaru, J., Nakagawa, H., and Ozeki, Y. , “Numerical Simulation Method to Predict the Thermal Environment inside a Car Cabin,” JSAE Review 22(1):39-47, January 2001.
- Wang, Z., Alajbegovic, A., Han, J., Donley, T. et al. , “Long Term Transient Cooling of Heavy Vehicle Cabin Compartments,” SAE Technical Paper 2010-01-2018 , 2010, https://doi.org/10.4271/2010-01-2018.
- Wang, Z., Han, J., Alajbegovic, A., Kuthada, T. et al. , “Long Term Transient Cabin Heating Simulation with Multiple Fluid Node Approach,” in VTMS (Vehicle Thermal Management Systems), May 16, 2013, Coventry Technocenter, UK.
- Bharathan, D., Chaney, L., Farrington, R.B., Lustbader, J. et al. , “An Overview of Vehicle Test and Analysis from NREL’s A/C Fuel Use Reduction Research,” in VTMS (Vehicle Thermal Management Systems), 2007.
- Bhambare, K., Fukuyama, J., Han, J., Masuzawa, K. et al. , “Three-Dimensional Transient Analysis of the Climate inside a Passenger Vehicle Cabin under Solar Load,” SAE Technical Paper 2014-01-0702 , 2014, https://doi.org/10.4271/2014-01-0702.
- Bhambare, K., Han, J., Fukuyama, J., Masuzawa, K. et al. , “Numerical Simulation of Vehicle Cabin Climate Undergoing A/C Performance Test Cycle,” October 22-24, 2014, Sendai, Japan.
- Jansen, W., Amodeo, J., Wakelam, S., and Bhambare, K. , “Automotive Cabin Infotainment System Thermal Management,” SAE Technical Paper 2015-01-0328 , 2015, https://doi.org/10.4271/2015-01-0328.
- Jeffers, M.A., Chaney, L., and Rugh, J.P. , “Climate Control Load Reduction Strategies for Electric Drive Vehicles in Warm Weather,” in 2015 SAE World Congress & Exhibition, Detroit, Michigan, April 21-23, 2015
- Jeffers, M.A., Chaney, L., and Rugh, J.P. , “Climate Control Load Reduction Strategies for Electric Drive Vehicles in Warm Weather,” in 2016 SAE World Congress & Exhibition, Detroit, Michigan, April 21-23, 2015
- Zhou, Y., Zhang, R., Staroselsky, I., and Chen, H. , “Numerical Simulation of Laminar and Turbulent Buoyancy-Driven Flows Using a Lattice-Boltzmann based Algorithm,” International Journal of Heat and Mass Transfer 47:4869-4879, 2004.
- Li, Y., Shock, R., Zhang, R., and Chen, H. , “Numerical Study of Flow Past an Impulsively Started Cylinder by Lattice Boltzmann Method,” Journal of Fluid Mechanics 273-300, 2004.
- Bhatnagar, P.L., Gross, E.P., and Krook, M. , “A Model for Collision Processes in Charged and Neutral One-Component System,” Physical Review 94:511-525.
- Chapman, S. and Cowling, T. , The Mathematical Theory of Non-Uniform Gases (Cambridge, UK: Cambridge University Press, 1990).
- PowerTHERM 12.5.1 User Guide.
- Mathur, G. , “Experimental Measurements of Stored Energy in Vehicle’s Cockpit Module at High Ambient and Solar Load Conditions,” SAE Technical Paper 2014-01-0705 , 2014, https://doi.org/10.4271/2014-01-0705.