Battery thermal management remains a highly active EV research area because fast charging, high C-rates and compact pack designs increase thermal stress. Combining CFD with a digital-twin or reduced-order model enables both design optimization and real-time performance estimation.
Thermal-management architectures
Research can compare air cooling, liquid cold plates, microchannels, immersion cooling, heat pipes and phase-change materials. Hybrid designs often provide a useful multi-objective optimization problem.
CFD model design
ANSYS Fluent or COMSOL can resolve coolant distribution, cell temperature, heat-transfer coefficients and thermal gradients. Boundary conditions should reflect discharge rates, coolant properties and pack geometry.
Digital-twin layer
A reduced-order or machine-learning surrogate can be trained from CFD results to estimate peak temperature, temperature non-uniformity or cooling demand faster than full CFD.
Research metrics
Common outputs include maximum cell temperature, temperature difference, pressure drop, pumping power, thermal runaway propagation indicators and optimization trade-offs.
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