Effects of Tool Coupling on Transient Simulation of a Mobile Air-Conditioning Cycle

Kossel, Roland; Strupp, N C; Tegethoff, Wilhelm

doi:10.3384/ecp09430064

Cited by 9 publications

(4 citation statements)

References 7 publications

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“…Here, the look-up tables containing the mechanical inputs and ambient temperature acquired on the road together with the Dymola model of Section III, built the controlled plant that is connected to MUSCODII. Controller and plant communicate by means of the co-simulation environment TISC Suite from TLK Thermo GmbH [37]. It must be added that the co-simulation tool TISC Suite performs the data transfer and the synchronization between Dymola and MUSCODII with a synchronization rate of 2.5 seconds, which is a valid number for the inertia of the studied thermal system.…”

Section: Resultsmentioning

confidence: 99%

Nonlinear Model Predictive Control for Thermal Management in Plug-in Hybrid Electric Vehicles

Lopez-Sanz

Ocampo‐Martínez

Alvarez-Florez³

et al. 2016

IEEE Trans. Veh. Technol.

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Abstract-A nonlinear model predictive control (NMPC) for the thermal management (TM) of Plug-in Hybrid Electric Vehicles (PHEVs) is presented. TM in PHEVs is crucial to ensure good components performance and durability in all possible climate scenarios. A drawback of accurate TM solutions is the higher electrical consumption due to the increasing number of low voltage (LV) actuators used in the cooling circuits. Hence, more complex control strategies are needed for minimizing components thermal stress and at the same time electrical consumption. In this context, NMPC arises as a powerful method for achieving multiple objectives in Multiple input-Multiple output systems.This paper proposes an NMPC for the TM of the High Voltage (HV) battery and the power electronics (PE) cooling circuit in a PHEV. It distinguishes itself from the previously NMPC reported methods in the automotive Copyright (c) 2015 IEEE. Personal use of this material is permitted. However, permission to use this material for any other purposes must be obtained from the IEEE by sending a request to pubspermissions@ieee.orgThe authors wish to acknowledge financial support from the Generalitat de Catalunya (GRC MCIA, Grant n SGR 2014-101).J. Lopez-Sanz and G. sector by the complexity of its controlled plant which is highly nonlinear and controlled by numerous variables. The implemented model of the plant, which is based on experimental data and multi-domain physical equations, has been validated using six different driving cycles logged in a real vehicle, obtaining a maximum error, in comparison with the real temperatures, of 2• C. For one of the six cycles, an NMPC software-in-the loop (SIL) is presented, where the models inside the controller and for the controlled plant are the same. This simulation is compared to the finite-state machine-based strategy performed in the real vehicle. The results show that NMPC keeps the battery at healthier temperatures and in addition reduces the cooling electrical consumption by more than 5%. In terms of the objective function, an accumulated and weighted sum of the two goals, this improvement amounts 30%. Finally, the online SIL presented in this paper, suggests that the used optimizer is fast enough for a future implementation in the vehicle.Index Terms-nonlinear model predictive control (NMPC), thermal management, plug-in hybrid electric vehicles (PHEV), Li-ion battery cooling.

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Section: Resultsmentioning

confidence: 99%

Nonlinear Model Predictive Control for Thermal Management in Plug-in Hybrid Electric Vehicles

Lopez-Sanz

Ocampo‐Martínez

Alvarez-Florez³

et al. 2016

IEEE Trans. Veh. Technol.

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“…Sun et al (2011) performed some preliminary studies on coupling an in-house model for detailed evaporator simulation with Modelica models using FMI. The co-simulation was performed in such way that the in-house model controls the co-simulation instead of a middleware like TISC (TLK Inter Software Connector; Kossel et al 2009). …”

Section: Previous Work On Modelica-based Dynamic Hvac Modelsmentioning

confidence: 99%

Recent advances in dynamic modeling of HVAC equipment. Part 2: Modelica-based modeling

Li¹,

Li²,

Seem³

et al. 2014

HVAC&R Research

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2014) Recent advances in dynamic modeling of HVAC equipment. Part 2: Modelica-based modeling, HVAC&R Research, 20:1, 150-161,This article is the second in the two-part series examining recent advances in the dynamic modeling of HVAC systems, which can be challenging due to the multi-physical and multi-scale processes of such systems. Part I reviewed the progress in dynamic modeling of major types of HVAC equipment. Part II presents a detailed review of dynamic modeling of HVAC equipment using Modelica, an object oriented modeling platform that has demonstrated potential in addressing HVAC equipment challenges. The Modelica-based modeling platform offers some desirable features, such as object-oriented and acausal modeling, that could significantly facilitate modeling efforts and reduce the time of model development. Currently, there are many numerically robust and efficient integrated simulation environments that support the Modelica-based modeling platform, such as Dymola, SimulationX, and MapleSim. This article reviews historical and recent modeling and simulation tools, and later examines previous work on the Modelica-based dynamic modeling of HVAC equipment. It also presents current issues and possible future directions of dynamic modeling for HVAC equipment.

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“…Such method has been successfully applied to the calculation of heat transfer and pressure drop correlations in TIL (Kossel et al 2009). For a robust initialization, the correlations for heat transfer and pressure drop can switch from constant values to their actual correlations at different time instances during the simulation.…”

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confidence: 98%

Consistent initialization of system of differential-algebraic equations for dynamic simulation of centrifugal chillers

Seem

2012

Journal of Building Performance Simulation

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For simulation of centrifugal chiller system with differential algebraic equations, consistent initial conditions are difficult to obtain due to the two-phase refrigerant cycle and the connections between several components. Existing rigorous initialization methods are not suitable for the particular problems in centrifugal chiller simulation, such as the surge instability. In this paper, the dynamic model of a water-cooled centrifugal chiller is developed in Modelica with Dymola and the TLK/IfT Library (TIL). A preprocessing scheme and a direct initialization method are proposed for the consistent initialization of chiller DAE system. Simulation results have shown the effectiveness of the proposed modelling framework and the initialization method.

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Effects of Tool Coupling on Transient Simulation of a Mobile Air-Conditioning Cycle

Cited by 9 publications

References 7 publications

Nonlinear Model Predictive Control for Thermal Management in Plug-in Hybrid Electric Vehicles

Nonlinear Model Predictive Control for Thermal Management in Plug-in Hybrid Electric Vehicles

Recent advances in dynamic modeling of HVAC equipment. Part 2: Modelica-based modeling

Consistent initialization of system of differential-algebraic equations for dynamic simulation of centrifugal chillers

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