Tech Xplore

Model reveals grid battery wear after 500 to 1,000 cycles in days

Energy storage is becoming critical to grid resilience and electricity affordability because battery systems can help balance ...
IEEE

New Insights Into Estimating Lithium-Ion Battery Cell Health Leveraging Physics-Informed Machine Learning

Abstract: The complex degradation kinetics and inconsistency of decay paths in in-service lithium-ion batteries (LIBs) significantly affect the health management capabilities of battery management ...
SciELO

Enhanced Energy Management System (EMS) and motor health monitoring for electric vehicles: a machine learning approach

This paper proposes a machine learning-based framework for enhancing the Energy Management System (EMS) and motor health monitoring in electric vehicles (EVs). The EMS uses supervised learning models ...
Kellogg School of Management

Kellogg launches new MBA courses in AI and machine learning

The new courses for Full-Time MBA and Evening & Weekend MBA students will offer a practical foundation in emerging technologies through a cross-disciplinary lens. Artificial intelligence is ...
IEEE

A Comparative Analysis of Different Types of SoC Estimation Using Machine Learning Techniques for Li-ion Battery Management System (BMS)

Abstract: The increasing demand for using electric vehicles (EVs) has emphasized the need for efficient and reliable lithiumion batteries, which form the basis of modern EV technology because of their ...