Battery modeling has become increasingly important with the intensive development of Li‐
ion batteries (LIBs). The porous electrode model, relating battery performances to the …

The growing demand for electrical energy and the impact of global warming leads to a
paradigm shift in the power sector. This has led to the increased usage of renewable energy …

The use of reduced-order electrochemical models creates opportunities for battery
management systems to control the battery behavior by monitoring the internal states in …

Accurate prediction of range of an electric vehicle (EV) is a significant issue and a key
market qualifier. EV range forecasting can be made practicable through the application of …

Safety issues pertaining to Li-ion batteries justify intensive testing all along their value chain.
However, progress in scientific knowledge regarding lithium based battery failure modes, as …

Over the last decade, many efforts have been deployed to develop models for the prediction,
the control, the optimization and the parameter estimation of Lithium-ion (Li-ion) batteries. It …

As a critical indictor in the Battery Management System (BMS), State of Charge (SOC) is
closely related to the reliable and safe operation of lithium-ion (Li-ion) batteries. Model …

The current electric grid is an inefficient system that wastes significant amounts of the
electricity it produces because there is a disconnect between the amount of energy …

Reliable state-of-health (SOH) estimation is crucial to the safe operation of lithium-ion
battery. Data-driven SOH estimation becomes a hot research topic with the booming of high …

Abstract Machine learning is a specific application of artificial intelligence that allows
computers to learn and improve from data and experience via sets of algorithms, without the …