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Battery thermal management systems (BTMS) are crucial for preserving performance, ensuring safety and extending the service life of lithium-ion batteries. This research examines the use of intelligent algorithms such as artificial neural networks (ANN) and particle swarm optimization (PSO) to improve thermal management. It also looks at how emerging technologies such as deep reinforcement learning can drive new innovations. A bibliometric study highlights the main research directions, the countries making the most contributions, and the predominant topics in this sector. To optimize the performance of BTMS, research is focusing on the importance of hybrid methods that combine intelligent algorithms and physical modeling.
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DOI: 10.1109/gpecom65896.2025.11061948
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