Researchers have proposed an efficient feature search approach for estimating the state of health of lithium-ion batteries, aiming to reduce the reliance on manually selected aging features. The ...
Researchers have developed an integrated framework for estimating battery state of health, or SOH, by combining incremental capacity analysis with image feature transformation and a hybrid ...
A research team at the Indian Institute of Technology (ISM) Dhanbad, led by Sunil K. Pradhan and Basab Chakraborty, has developed a grey wolf optimisation (GWO)-based hybrid regression model that ...
Abstract: Advanced data-driven state-of-health (SOH) estimation methods mainly rely on electrochemical impedance spectroscopy (EIS) to capture internal impedance characteristics. However, most online ...
A new study highlights the critical role of advanced AI-integrated battery management system technologies in monitoring, optimizing, and predicting battery performance for reliable and sustainable ...
Abstract: The paper proposes a detailed analysis of electric vehicle (EV) battery modelling, state estimation, and charging infrastructure in an integrated MATLAB Simscape framework. As EV penetration ...
A new technical paper titled “Automated Enumeration of Reconfigurable Architectures for Thermal Management Systems in Battery Electric Vehicles” was published by researchers at University of Illinois ...
Set the number of charge points at the nodes of the distribution network as the optimization variables, set their bounds and specify transportation constraints if necessary. Estimate the total cost ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results