Lithium-ion battery prognostics and health management (BPHM) systems are vital to the
longevity, economy, and environmental friendliness of electric vehicles and energy storage …

Exact state-of-charge estimation is necessary for every application related to energy storage
systems to protect the battery from deep discharging and overcharging. This leads to an …

The characteristics and performance of lithium‐ion batteries typically rely on the precise
combination of materials in their component electrodes. Understanding the impact of this …

Abstract Machine Learning has garnered significant attention in lithium-ion battery research
for its potential to revolutionize various aspects of the field. This paper explores the practical …

Battery cell production is a key contributor to achieving a net‐zero future. A comprehensive
understanding of the various process steps and their interdependencies is essential for …

Electrode manufacturing, as the core of battery cell production, is a complex process chain
with a large number of interrelated parameters. An in‐depth understanding of the processes …

In this study, we investigate the use of artificial neural networks as a potentially efficient
method to determine the rate capability of electrodes for lithium-ion batteries with different …

Artificial Intelligence (AI) has been swiftly incorporated into the industry to become a part of
both customer services and manufacturing operations. To effectively address the ethical …

Nowadays, Artificial Intelligence and Machine Learning is everywhere, and everyone wants
to use it. This paper presents a case study on how to use NI AutoML application to more …

In this study, we investigate the use of artificial neural networks as a potentially efficient
method to determine the rate capability of electrodes for lithium-ion batteries with different …