The use of electrochemical cells is becoming more widespread, especially in the energy
industry and battery energy storage systems (BESSs). As we continue to deploy BESSs, it …

As the number of battery energy storage systems increase, along with their grid applications,
it has become imperative to better understand and predict battery cell degradation …

This dissertation presents a methodology for using cycling data collected from several
similar electrochemical cells to generate an aging model that predicts how the parameters in …

The globally installed capacity of battery energy storage systems (BESSs) has increased
steadily in recent years. Lithium-ion cells have become the predominant technology for …

Understanding the aging behavior in lithium-ion cells for automotive applications and its
underlying physical-chemical degradation processes that lead to a decrease in energy and …

The emphasis in the automotive industry towards sustainable mobility has led to a significant
interest in hybrid-electric drive-trains with high energy density batteries. Addressing the …

Designed to store and discharge electrical energy, rechargeable batteries consist of
elementary storage cell assemblies. Aging is affected by various aggravating factors, mainly …

The increasing use of lithium-ion cells in large-scale, long-term applications drives a need
for design methods that considers aging and accurate state of health estimation. A common …

This work introduces a comprehensive modeling framework designed to simulate the
electrical, thermal, and aging behavior of battery cells connected in various parallel and …

Accurately predicting aging of lithium-ion batteries would help to prolong their lifespan, but
remains a challenge owing to the complexity and interrelation of different aging …