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This is a Quantitative Study study (also classified as: Experimental Study).

Vehicle Under-Hood Thermal Management: Development of a Reduced-Order Model for Accurate and Computationally Efficient Temperature Distribution Simulations

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The proposed reduced-order model accurately simulates under-hood temperature distributions in vehicles, enhancing energy management.
Key results show strong agreement between the 1D model and CFD predictions, demonstrating notable computational efficiency.
Using a clustering algorithm, flow fields are optimized based on different heat rejection levels and velocities during simulations.
The study indicates that this model is a practical addition to vehicle-level simulations, benefiting sustainable mobility initiatives.

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This study presents a reduced-order model to improve temperature distribution accuracy in vehicles, highlighting energy management strategies.

Miccio et al. (2025) studied this question.

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This study presents a reduced-order model to improve temperature distribution accuracy in vehicles, highlighting energy management strategies.