Akademik Veri Yönetim Sistemi
Sustainable Aviation, Springer Nature, ss.427-430, 2026
Battery thermal management is essential for safe, high-performance electric vehicles. Computational fluid dynamics has become a significant tool for modeling and optimizing pack and module cooling architectures. Active cooling methods and passive methods are widely studied, often in hybrid combinations. Computational fluid dynamics studies demonstrate that simple air cooling often allows excessive temperature rise, while forced-air or liquid cooling can keep temperatures near the recommended 20–35 ℃ range. Liquid-cooled designs generally show superior heat-transfer and more uniform temperature distributions than air-cooling. Phase-change material layers and embedded heat pipes can moderate temperature spikes but have limited dissipation rates. Recent computational fluid dynamics -based studies use detailed 3D models of cells, manifolds, and fins to analyze temperature fields, flow paths, and optimize parameters under realistic operating conditions. Hybrid schemes combining multiple cooling modes often yield the best performance: for instance, one computational fluid dynamics study of a large prismatic battery pack found that an optimized composite phase-change material–flat heat-pipe–liquid system could limit peak cell temperature to ~ 43.2° at 2C discharge in 37 ℃ ambient. Challenges remain in scaling CFD models from single cells to full packs, validating complex models experimentally, and balancing cooling effectiveness against added system mass, volume and pumping power. Future trends include multiscale modeling, advanced coolants, and AI-driven optimization to predict and control temperature in real time.