CFD Analysis of Immersion Cooling for Batteries

Introduction

As part of the CFD course (24-718) at Carnegie Mellon University, I and my team developed a model to analyze immersion cooling systems for battery thermal management. This technology is essential for efficient heat dissipation, preventing thermal runaway, and enhancing battery performance and longevity. Our objectives were to simulate fluid flow and thermal performance in immersion cooling systems, and to optimize the design to achieve uniform temperature distribution and eliminate hotspots.

Methods

• Fluid flow analysis — Simulated the flow of coolant through the immersion cooling system to understand velocity profiles and streamline behavior, identifying key flow characteristics that contribute to uniform cooling and heat dissipation.
• Thermal performance modeling — Developed a thermal model to simulate heat transfer between the coolant and battery cells, analyzing temperature distributions across the battery pack to identify potential hotspots.
• Design optimization — Iteratively tested different cooling system configurations to maximize heat dissipation while minimizing energy consumption, and assessed the impact of coolant properties, flow rates, and system geometry on thermal performance.

Results

• Improved Heat Dissipation — The optimized cooling configuration achieved a uniform temperature distribution, reducing temperature variations by 20%; hotspots were effectively eliminated, ensuring all battery cells operated within safe temperature limits.
• Enhanced Cooling System Design — Velocity profiles revealed optimal flow paths that enhanced heat removal; adjustments to system geometry minimized flow stagnation and improved overall cooling efficiency.
• Energy Efficiency — Simulations demonstrated that optimal coolant flow rates balanced effective heat transfer with minimal energy input, reducing overall cooling system power consumption.