Abstract Today, Planet Earth confronts an urgent climate crisis, which has been mostly
generated by global warming. This phenomenon requires a fast transition towards …

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 …

This research article demonstrates how to get a precise lithium-ion battery (LIB) model using
one of the artificial intelligence algorithms called the Walrus optimization algorithm (WaOA) …

Simulation-based battery design encounters the difficulty of high computational cost. This
paper presents a systematic approach based on the artificial neural network to reduce the …

The development of lithium-ion batteries (LIBs) based on current practice allows an energy
density increase estimated at 10% per year. However, the required power for portable …

The design of better active materials for lithium-ion batteries (LIBs) is crucial to satisfy the
increasing demand of high performance batteries for portable electronics and electric …

This paper explores the methods of lithium battery material design and optimization based
on artificial intelligence. Firstly, the current research status and challenges of lithium battery …

The transition away from fossil fuels due to their environmental impact has prompted the
integration of renewable energy sources, particularly wind and solar, into the main grid …

In recent years, the modeling and simulation of lithium-ion batteries have garnered attention
due to the rising demand for reliable energy storage. Accurate charge cycle predictions are …

In this paper, we propose a hybrid meta-heuristic algorithm called MRFO-PSO that
hybridizes the Manta ray foraging optimization (MRFO) and particle swarm optimization …