A Multi-Scale Convolutional Attention Mechanism IntegratedMethod for Battery Capacity Prediction of New Energy Vehicles
Abstract
attention is developed to capture long- and short-term degradation patterns. Experimental results demonstrate superior performance, achieving
MAE and MSE of 0.3663 and 0.3694, outperforming traditional and mainstream temporal models, and showing strong potential for practical
battery health monitoring.
Keywords
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DOI: http://dx.doi.org/10.70711/frim.v4i3.8726
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