Li-ion batteries

This work proposes a novel Deep Learning model based on a Transformer encoder to accurately estimate degradation modes and early detect knee points.

This work proposes a new methodology for opportunistic diagnosis using machine learning algorithms trained directly on photovoltaic battery charging data.

This work proposes a new methodology for opportunistic diagnosis using machine learning algorithms trained directly on photovoltaic battery charging data.

This work proposes a new representation of battery data as images, in order to leverage the use of well-established Convolutional Neural Networks for battery degradation diagnosis.

This work presents an informed weak supervision methodology for learning the deterioration of a battery from charge and discharge data.