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Approach to Model Thermistor Based AC Compressor Cut-OFF/Cut-IN Phenomenon in 1D Simulation of Mobile Air Conditioning
ISSN: 0148-7191, e-ISSN: 2688-3627
Published January 09, 2019 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
This paper documents the approach followed to simulate the physical phenomenon of thermistor based AC compressor Cut-OFF/Cut-IN (AC compressor cycling) in 1-Dimensional Computer Aided Engineering (1D CAE) to enable Mobile Air Conditioning (MAC) performance prediction at different ambient conditions. Thermistor based AC compressor cycling logic is incorporated in MAC systems to prevent ice formation at evaporator core and liquid refrigerant flow to AC compressor. Currently, during MAC system performance simulation over a transient drive cycle, the 1D models are able to predict cabin cooldown performance for severe ambient conditions (>40°C, high solar load) with >95% accuracy, as in these cases AC compressor cycling due to thermistor doesn’t occur at higher ambient. In case of moderate/low ambient conditions (~20-40°C, moderate/low solar load), AC compressor cycling takes place and the simulation model is able to predict the cabin cooldown performance only till first event of compressor Cut-OFF in line with physical test. Hence, to predict cabin cool-down performance with AC compressor cycling, it is necessary to model the same phenomenon in 1D CAE.
To model the phenomenon described above, a logic to control AC compressor cycling operation based on evaporator air outlet temperature and lumped masses to model evaporator thermal inertia are incorporated in transient MAC performance simulation model using 1D software KULI. Accuracy of >95% in average cabin temperature prediction has been achieved at moderate ambient condition after incorporating AC compressor cycling model, which confirms the robustness of the simulation model. Frequency of AC compressor cycling phenomenon (i.e. number of cycling events in a minute) in the proposed simulation model is observed to be higher as compared to real world physical test which affects the prediction of AC compressor power consumption, further work is required to address this gap. The present work can be extended to determine optimum thermistor location through 1D CAE, thereby eliminating the need of physical testing for the same.
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CitationSinghal, S., Jaybhay, S., Dubey, R., and Kapoor, S., "Approach to Model Thermistor Based AC Compressor Cut-OFF/Cut-IN Phenomenon in 1D Simulation of Mobile Air Conditioning," SAE Technical Paper 2019-26-0287, 2019, https://doi.org/10.4271/2019-26-0287.
Data Sets - Support Documents
|Unnamed Dataset 1|
- Natarajan , S. , Sathish Kumar , S. , Amaral , R. , and Rahman , S. 1D Modeling of AC Refrigerant Loop and Vehicle Cabin to Simulate Soak and Cool Down SAE Technical Paper 2013-01-1502 2013 10.4271/2013-01-1502.
- Pathuri , R. , Patil , Y. , and Nagarhalli , P. Deployment of 1D Simulation with Multi Air Zone Cabin Model for Air Conditioning System Development for Passenger Car SAE Technical Paper 2015-26-0234 2015 10.4271/2015-26-0234.
- Shah , S. Integration of 1D and 3D CFD Software for Cabin Cool Down Simulation SAE Technical Paper 2018-01-0773 2018 10.4271/2018-01-0773.
- Lan , K. , Xiao , L. , Srinivasan , K. , and Rahman , S. The Impact of Vehicle Front End Design on AC Performance SAE Technical Paper 2013-01-0859 2013 10.4271/2013-01-0859.
- Kumar Reddy , J. , Deopa , S. , Sharma , A. , and Aggarwal , P. Impact of Condenser Opening Area on a/C Performance of the Automotive HVAC System SAE Technical Paper 2015-01-0368 2015 10.4271/2015-01-0368.
- KULI www.KULI.at
- Sambandan , S. , Valencia , M. , and Sathish Kumar , S. Robust 1D Modelling for Automotive HVAC Warmup Prediction Using DFSS Approach SAE Technical Paper 2017-01-0179 2017 10.4271/2017-01-0179.
- Muthusamy , V. , Sathish Kumar , S. , and Sambandan , S. Investigation of a Dual HVAC MAC System with Three Row Ducts Using 1D Modeling SAE Technical Paper 2017-01-0164 2017 10.4271/2017-01-0164.
- S , S. , Natarajan , S. , and Rinaldi , M. Studies on AC Suction Line Pressure Drop Using 1D Modeling SAE Technical Paper 2013-01-1503 2013 10.4271/2013-01-1503.