A Joint Control Strategy for Automobile Active Grille Shutter and Cooling Fan

Liu, Chuanbo; Zheng-ju, Wang; Fan, Chaojie; Zhang, Ruonan; Man, Xingjia

doi:10.1007/s12239-021-0144-x

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…Cooling fan systems have been widely used in various industrial fields, such as nuclear power plants [1], automobiles [2], and workstation computers [3]. They are often used to maintain temperature and ensure an optimal operation environment.…”

Section: Introductionmentioning

confidence: 99%

“…By employing neural ODEs, the digital twin can achieve smoother system evolution, reducing abnormal discontinuities, and accommodate data from sensors with varying sampling frequencies for condition monitoring. (2) The proposed digital twin framework demonstrates impressive modeling accuracy while utilizing fewer parameters. This efficiency enables real-time condition monitoring during the manufacturing process, making it a practical and viable solution for industrial applications.…”

Section: Introductionmentioning

confidence: 99%

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A Hybrid Neural Ordinary Differential Equation Based Digital Twin Modeling and Online Diagnosis for an Industrial Cooling Fan

Peng,

Chen

2023

Future Internet

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Digital twins can reflect the dynamical behavior of the identified system, enabling self-diagnosis and prediction in the digital world to optimize the intelligent manufacturing process. One of the key benefits of digital twins is the ability to provide real-time data analysis during operation, which can monitor the condition of the system and prognose the failure. This allows manufacturers to resolve the problem before it happens. However, most digital twins are constructed using discrete-time models, which are not able to describe the dynamics of the system across different sampling frequencies. In addition, the high computational complexity due to significant memory storage and large model sizes makes digital twins challenging for online diagnosis. To overcome these issues, this paper proposes a novel structure for creating the digital twins of cooling fan systems by combining with neural ordinary differential equations and physical dynamical differential equations. Evaluated using the simulation data, the proposed structure not only shows accurate modeling results compared to other digital twins methods but also requires fewer parameters and smaller model sizes. The proposed approach has also been demonstrated using experimental data and is robust in terms of measurement noise, and it has proven to be an effective solution for online diagnosis in the intelligent manufacturing process.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Hybrid Neural Ordinary Differential Equation Based Digital Twin Modeling and Online Diagnosis for an Industrial Cooling Fan

Peng,

Chen

2023

Future Internet

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Research on Vehicle Aerodynamics and Thermal Management Based on 1D and 3D Coupling Simulation

et al. 2022

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In order to ensure the full heat dissipation of heat exchangers, the opening of the grille should be large, which increases the wind drag of the whole vehicle. Most of the research on the grille only focuses on its impact on the heat dissipation of the engine compartment; there is little research on its influence on the performance of the thermal management system, because it is difficult to solve the real-time data interaction of different dimensional models. So we established the 1D and 3D strong coupling model. The biggest difference from other 1D and 3D coupling models is that we can use the interfaces reserved by the two kinds of software to realize real-time data interaction, and simultaneously analyze the 1D thermal management performance and 3D flow field and temperature field of the engine components. The coupling model is used to study three heat balance conditions. The results show that the heat-sinking capability of the cooling system is the worst under the climbing condition; and the refrigeration capacity of the air-conditioning system is the worst under the idling condition. According to the heat balance results and evaluation index priorities, we determine the simulation process. In this article, first the upper grille is gradually closed; then the flow field, temperature field and evaluation indexes are studied through the strong coupling model to obtain the analysis results of the upper grille; then based on the results, the lower grille is gradually closed, and the analysis results of the lower grille are obtained in the same way. The final simulation results show that on the premise of ensuring the performances of engine cooling system and air conditioning refrigeration system, the air drag coefficient is reduced by 17.5 counts compared with the original vehicle.

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A Joint Control Strategy for Automobile Active Grille Shutter and Cooling Fan

Cited by 2 publications

References 12 publications

A Hybrid Neural Ordinary Differential Equation Based Digital Twin Modeling and Online Diagnosis for an Industrial Cooling Fan

A Hybrid Neural Ordinary Differential Equation Based Digital Twin Modeling and Online Diagnosis for an Industrial Cooling Fan

Research on Vehicle Aerodynamics and Thermal Management Based on 1D and 3D Coupling Simulation

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