Vehicle Thermal Management Simulation Method Integrated in the Development Process from Scratch to Prototype

Traussnig, Armin; Petutschnig, Heinz; Ennemoser, Andreas; Stolz, Michael; Tizianel, Mauro

doi:10.4271/2014-01-0668

Cited by 11 publications

(5 citation statements)

References 5 publications

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“…As vehicles become more efficient, there is less wasted heat from the powertrain available for powertrain warm-up and cabin climatic control. As a result, it is becoming increasingly important to include previously neglected systems such as the powertrain cooling circuit and cabin environment in the design of the vehicle model [91,92]. This issue is compounded in fully electric vehicles which are already subjected to constraints on the available stored energy.…”

Section: New Aspects For the Powertrain Modellingmentioning

confidence: 99%

“…30-minute WLTC [106]. This makes them unsuitable for system-level evaluations of the effect of component sizing DoE, and control strategy optimisation without using advanced simulation techniques such as model reduction [92], surrogate models and cosimulation [53,107].…”

Section: Development Of the Powertrain Warm-up Simulationmentioning

confidence: 99%

“…This work involves modelling the friction in both the engine [92,108] and transmission incorporating things such as bearing friction models [109], pistons liner contact [110], valvetrain lubrication, friction in the gear mesh [111], torque converter efficiency and torque losses due to pumping requirements. These models tend to use similar methodology to the coolant circuit with the added complexity that the relevant properties of the oil, such as viscosity, are much more variable with temperature [112].…”

Section: Development Of the Powertrain Warm-up Simulationmentioning

confidence: 99%

See 2 more Smart Citations

Modelling and Co-simulation of hybrid vehicles: A thermal management perspective

Yuan

Fletcher

Ahmedov

et al. 2020

Applied Thermal Engineering

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Section: New Aspects For the Powertrain Modellingmentioning

confidence: 99%

Section: Development Of the Powertrain Warm-up Simulationmentioning

confidence: 99%

Section: Development Of the Powertrain Warm-up Simulationmentioning

confidence: 99%

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Modelling and Co-simulation of hybrid vehicles: A thermal management perspective

Yuan

Fletcher

Ahmedov

et al. 2020

Applied Thermal Engineering

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show abstract

“…Some research works related to piston temperature estimation can be found in the literature, [4][5][6][7][8][9][10][11][12][13][14][15] but these papers are focused on analyzing thermal behavior using high/medium fidelity models rather than a controloriented model. These models are very useful to predict thermal behavior, but they are not suitable for real-time vehicle applications due to the model complexity and the computational efforts to solve several simultaneous energy/heat transfer equations in order to estimate the piston temperature.…”

Section: Introductionmentioning

confidence: 99%

Piston temperature model oriented to control applications in diesel engines

Cho

Nieuwstadt

2017

Proceedings of the Institution of Mechanical Engineers, Part D:

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In this paper, the development of a control-oriented piston temperature model for diesel engines is discussed. Using the underlying energy balance at the piston, a one-state piston temperature model was developed based on a thermal resistance concept. The model is composed of five sub-models: an engine model, a heat distribution model, a piston temperature model, an initial piston temperature model, and a maximum piston temperature model. In the engine model, the combustion heat transferred to the engine is calculated based on the energy balance in the cylinder chamber. The heat distribution model, which is a main feature in this model, determines the heat transferred to the piston using two maps as a function of engine speed and fuel depending on the piston cooling jet (PCJ) operation. The energy balance at the piston is applied to calculate the mean piston temperature, and the initial piston temperature is determined by the arbitration between the piston and the oil temperatures. The maximum piston temperature is estimated using a simple linear correction to the mean piston temperature. Integrating all sub-models in the Simulink platform, the model was identified and validated using piston temperature measurements under steady-state fuel steps as well as transient tests. There is a good agreement between the modeled and the measured piston temperatures with less than 4.1°C of root-meansquare-error (RMSE) over transient emissions cycles (FTP-75, LA92, and HWEFT). The modeled piston temperature can be used as an input to the control strategy of variable cooling devices, such as a variable displacement oil pump.

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“…The air conditioning, oil cooling, and turbo charging intercooling systems are extended into the integrated thermal management system [4]. The mechanism of the complex multiple thermodynamic systems coupling transmission can be studied by applying the computer simulation approach and the wind tunnel test analysis.…”

mentioning

confidence: 99%

Numerical Calculation Method of Model Predictive Control for Integrated Vehicle Thermal Management Based on Underhood Coupling Thermal Transmission

Gao

Liu

et al. 2019

Energies

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The nonlinear model predictive control (NMPC) controller is designed for an engine cooling system and aims to control the pump speed and fan speed according to the thermal load, vehicle speed, and ambient temperature in real time with respect to the coolant temperature and comprehensive energy consumption of the system, which serve as the targets. The system control model is connected to the underhood computational fluid dynamics (CFD) model by the coupling thermal transmission equation. For the intricate thermal management process predictive control and system control performance analysis, a coupling multi-thermodynamic system nonlinear model for integrated vehicle thermal management was established. The concept of coupling factor was proposed to provide the boundary conditions considering the thermal transmission interaction of multiple heat exchangers for the radiator module. Using the coupling factor, the thermal flow influence of the structural characteristics in the engine compartment was described with the lumped parameter method, thereby simplifying the space geometric feature numerical calculation. In this way, the coupling between the multiple thermodynamic systems mathematical model and multidimensional nonlinear CFD model was realized, thereby achieving the simulation and analysis of the integrated thermal management multilevel cooperative control process based on the underhood structure design. The research results indicated an excellent capability of the method for integrated control analysis, which contributed to solving the design, analysis, and optimization problems for vehicle thermal management. Compared to the traditional engine cooling mode, the NMPC thermal management scheme clearly behaved the better temperature controlling effects and the lower system energy consumption. The controller could further improve efficiency with reasonable coordination of the convective thermal transfer intensity between the liquid and air sides. In addition, the thermal transfer structures in the engine compartment could also be optimized.

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Vehicle Thermal Management Simulation Method Integrated in the Development Process from Scratch to Prototype

Cited by 11 publications

References 5 publications

Modelling and Co-simulation of hybrid vehicles: A thermal management perspective

Modelling and Co-simulation of hybrid vehicles: A thermal management perspective

Piston temperature model oriented to control applications in diesel engines

Numerical Calculation Method of Model Predictive Control for Integrated Vehicle Thermal Management Based on Underhood Coupling Thermal Transmission

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