An Interactive Remaining Useful Life Estimation Method for Lithium-Ion Batteries Based on Composite Performance Index and Nonlinear Wiener Process
A framework integrating deep learning and nonlinear Wiener process (NWP) is proposed for the remaining useful life prediction of lithium-ion batteries. First, degradation features from multi-source sensor data are automatically extracted using an autoencoder incorporating embedded L1 regularization. Second, a one-dimen...