The article focuses on large oil-immersed angular contact ball bearings (ACBBs) by proposing an innovative model that integrates single-phase flow computational fluid dynamics (CFD) with dynamic-thermal bearing modeling. Combining numerical simulations with experimental measurements (cage speed, oil temperature), bearing dynamics, lubricant flow fields, and thermal effects are systematically analyzed. Although certain computational accuracy was sacrificed by adopting single-phase flow simulation for higher computational efficiency, the results demonstrate the accuracy of the model in predicting critical performance parameters: (1) skidding behavior across different loading conditions (0–20 kN axial load), (2) thermal response with temperature prediction errors below 6.7%, and (3) Power dissipation induced by oil churning from bearing component motions. Comparative analysis reveals the superior performance of the model over conventional methods, particularly in high-speed operating regimes where thermal effects become significant. This approach establishes a reliable theoretical framework for optimizing large ACBB performance. The methodology provides substantial significance for industrial applications where reliable prediction of bearing thermal and dynamic behavior is crucial for performance enhancement and operational safety.