Intelligent Fluid-Driven Active Thermal Management Systems: Multi-physics Modeling and Predictive Control Optimization
Abstract
To address the bottleneck in thermal management of high power density electronic devices, an active thermal management system architecture based on intelligent fluid drive is proposed in this paper. In this study, a dynamic model covering electric-flow-thermal multi-physical field coupling is constructed, and the intrinsic orthogonal decomposition technology is used to break through the computational power barrier of high-dimensional nonlinear systems, which provides an important theoretical paradigm and engineering path for the next generation of adaptive intelligent thermal control technology.
Fields of Study & Subjects
Heat Transfer and Optimization
Model Reduction and Neural Networks
Heat Transfer and Numerical Methods
Publication details
- Journal / source
- Applied and Computational Engineering
- Volume
- 228
- Issue
- 1
- Pages
- 33–39
- Publication date
- 9 March 2026
- Language
- EN