Fault diagnosis for electric vehicle lithium batteries using a multi-classification support vector machine

To overcome the complexity of fault diagnosis in electric vehicle batteries and the challenges in obtaining fault state data, we propose a fault diagnosis method based on a multi-classification support vector machine (MC-SVM). This approach decreases the dependence on data volume while increasing th...

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