Design of a liquid cooled battery thermal management system using neural networks, cheetah optimizer and salp swarm algorithm
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Researchers are exploring various methods to optimize the thermal management of battery systems, including the use of neural networks, algorithms, and hybrid cooling systems. Different approaches, such as liquid cooling and phase change materials, are being analyzed for their energy efficiency and performance in applications like electric vehicles and data centers. The development of these systems is being pursued by various entities, including companies like Canadian Solar and Delta, as well as academic researchers.
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