Carbon impression and the growing reliance on fossil fuels are two unique concerns for
world emission regulatory agencies. These issues have placed electric vehicles (EVs) …

Due to the dynamic and non-linear behavior of lithium-ion battery (LIB) states, the accuracy
of state estimation proportionally impacts the performance of the battery management …

A suitable model structure and matched model parameters are prerequisites for the precise
estimation of the battery states. Previous studies pay little attention to whether a parameter …

Covid-19 has given one positive perspective to look at our planet earth in terms of reducing
the air and noise pollution thus improving the environmental conditions globally. This …

Optimization through meta-heuristics in electric vehicular (EV) transport has emerged as the
key to improve the existing technologies and pave way for their mass deployment and …

Accurate estimation of state-of-charge (SoC) is vital to safe operation and efficient
management of lithium-ion batteries. Currently, the existing SoC estimation methods can …

A notable shift from an internal combustion engine vehicles (ICEVs) fleet to an electric
vehicles (EVs) fleet is expected in the medium term due to increasing environmental …

Electric vehicles (EVs) are a promising technology to reduce emissions, but its development
enormously depends on the technology used in batteries. Nowadays, batteries based on …

Metal-ion batteries are capable of delivering high energy density with a longer lifespan.
However, they are subject to several issues limiting their utilization. One critical impediment …

Among seven multiclassification machine learning (ML) models taking optimized
hyperparameters found by grid search, AdaBoost achieved the known highest equivalent …