An Attenuation Analysis Method for Lithium-ion Battery Based on Multi-core Rlevance Vector Machine

Lithium-ion batteries have broad application prospects, but the current methods for predicting the attenuation of lithium-ion batteries generally cannot meet the needs of actual use. This article uses multiple kernel function rlevance vector machines to predict the attenuation of lithium batteries, and is based on BAS The method selects the coefficients of multiple kernel functions of the relevance vector machine, selects the best combination of kernel functions, and then predicts by the method of multi-core vector machine. The results show that compared with the traditional RVM method, the method based on BAS-RVM has smaller prediction errors and can better meet the actual demand.