Distributed energy sources (DERs) and microgrids (MGs) will play an important role in
improving the resilience, reliability and sustainability of the grid through dedicated …

To advance the field of lithium-ion battery (LIB) research, this paper unveils an accurate
modelling of LIB that primarily relies on the equivalent circuit model, backed by the Osprey …

This paper presents a comprehensive review of state-of-health (SoH) estimation methods for
lithium-ion batteries, with a particular focus on the specific challenges encountered in hybrid …

Accurate prediction of wind power generation is crucial for operational and maintenance
decision in wind farms. With the increasing scale and capacity of turbines, incorporating both …

Accurately estimating the State of Charge (SOC) is of utmost importance for ensuring battery
safety and reliability, as well as enabling other state estimations. However, predicting the …

As the share of electric vehicles increases, electric vehicles are exposed to broader of
driving conditions (eg, extreme weather), which reduce the performance and driving ranges …

Physicochemical lithium-ion battery models are promising for advanced battery
management systems because they can estimate internal electrochemical states to ensure …

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) …

Energy inefficiency and elevated carbon emissions are prevalent in rural areas, presenting
significant challenges to achieving sustainable development. Optimizing rural energy …

A fast-charging policy is widely employed to alleviate the inconvenience caused by the
extended charging time of electric vehicles. However, fast charging exacerbates battery …