2009
DOI: 10.3384/ecp09430007
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Real-time Drive Cycle Simulation of Automotive Climate Control System

Abstract: Technologies like hardware-in-the-loop simulation (HILS) can play a significant role in reducing the product development life cycle. An essential requirement for HILS is the availability of system models that are capable of running in real-time. This paper demonstrates a closed loop real-time simulation of a vehicle with a climate control system model developed in Modelica. This paper details the modeling aspects of the vehicle system and climate control system using the object-oriented, acausal modeling langu… Show more

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Cited by 5 publications
(3 citation statements)
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“…The Modelica plant models developed for usage with the MATLAB GUI Tool explained in this paper was related to Climate Controller testing using Modelica plant models [1]. Best practices explained previously were taken care while modeling the plant (vehicle with HVAC system).…”
Section: Practical Implementation -Climate Controlmentioning
confidence: 99%
See 1 more Smart Citation
“…The Modelica plant models developed for usage with the MATLAB GUI Tool explained in this paper was related to Climate Controller testing using Modelica plant models [1]. Best practices explained previously were taken care while modeling the plant (vehicle with HVAC system).…”
Section: Practical Implementation -Climate Controlmentioning
confidence: 99%
“…The tool discussed in this paper is used with a vehicle air-conditioning system model and its controller. The development of the plant models for both vehicle and air-conditioning system is extensively described in the previous work [1]. The way in which the plant model is packaged in Modelica helps the tool in configuring the models easily and automatically.…”
Section: Introductionmentioning
confidence: 99%
“…Although finite volumes cause a high CPU work load we decided to use heat exchangers based of 7 finite volumes each, in contrast to Pitchaikani et al [18] using just one cell. The pressure drop in the heat exchangers is assumed to be negligible.…”
Section: Model Descriptionmentioning
confidence: 99%