Lithium-ion batteries play a crucial role in present-day energy storage systems,
necessitating the development of precise prediction models to improve their performance …

Aggressive battery usage profiles in electrified vehicle applications require extensive efforts
in developing battery management strategy and system design determination to guarantee …

Lithium ion (Li-ion) batteries offer excellent cycle life, no memory effect, and high energy
density when compared to competing chemistries like NiCd, NiMH, etc. These …

Accurate models of batteries are crucial for understanding their performance, safety, and
longevity in applications ranging from mobile devices to electric vehicles. Equivalent Circuit …

Predicting the performance of Li-ion batteries over lifetime is necessary for design and
optimal operation of integrated energy systems, as electric vehicles and energy grids. For …

Reducing the computational burden and improving the accuracy are in the two opposite
sides of every electrical equivalent circuit model (EECM) for batteries. In this paper, a novel …

The chapter provides a comprehensive review of state estimation techniques specifically
applied to lithium-ion batteries used in electric vehicle (EV) applications. State estimation …

Mathematical modeling of lithium-ion batteries (LiBs) is a primary challenge in advanced
battery management. This paper proposes two new frameworks to integrate physics-based …

Electric vehicles (EVs) have received significant attention over the past few years as a
sustainable and efficient green transportation alternative. However, severe challenges, such …

The state of energy (SOE) of Li-ion batteries is a key indicator for the energy optimization
and management of energy storage devices (ESDs) in electric vehicles and smart grids. To …