Liquid Cooling Energy Storage Framework

How to optimize a liquid cooling system?

To achieve optimal overall performance, a comprehensive multi-objective optimization framework is proposed to optimize the system parameters. The numerical model of the liquid cooling system is developed and validated. The ranges of the optimization variables are determined through the single-factor analysis.

Is a liquid cooling system suitable for lithium-ion batteries?

The battery thermal management system is critical for the lifespan and safety of lithium-ion batteries. This study presents the design of a liquid cooling system with asymmetric flow channels. To achieve optimal overall performance, a comprehensive multi-objective optimization framework is proposed to optimize the system parameters.

What is a multi-objective optimization framework for liquid cooling systems?

This study proposes a comprehensive multi-objective optimization framework for liquid cooling systems. The mass flow rate (Vc), channel length (l), and coolant temperature (Tc) are used as optimization variables. The maximum temperature (Tmax), maximum temperature difference (Δ Tmax) and pressure drop (Δ p) are used as optimization objectives.

What is the numerical model of liquid cooling system?

The numerical model of the liquid cooling system is developed and validated. The ranges of the optimization variables are determined through the single-factor analysis. The errors of the RSM, Kriging and RBF surrogate models are compared, and the RSM surrogate model is selected due to highest accuracy.