Deep learning-based battery health prediction for enhancing electric vehicle performance | Scientific Reports
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Researchers are exploring the use of deep learning and other artificial intelligence techniques to improve the performance and efficiency of electric vehicle batteries. Various studies are investigating different approaches, including the integration of machine learning models with physics-based methods and the use of hybrid learning frameworks. These efforts aim to enhance battery health prediction, optimize charging and discharging cycles, and improve overall electric vehicle performance.
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