A precise lithium-ion battery model is required to specify their appropriateness for different
applications and to study their dynamic behavior. In addition, it is important to design an …

As the demand for electric vehicle (EV)'s remaining operation range and power supply life,
Lithium-ion (Li-ion) battery state of charge (SOC) and state of health (SOH) estimation are …

This paper presents a quantitative performance analysis of a conventional passive cell
balancing method and a proposed active cell balancing method for automotive batteries …

The most alarming feature today is how to manage the energy demand and crucial climate
change. To run life among these major threats, a good idea is to penetrate renewable …

Abstract Estimation of Lithium-ion (Li-ion) battery model parameters is key for accurately
determining battery state of charge (SOC). Estimating these parameters requires substantial …

El uso cada vez más extendido de baterías de Li-Ion requiere un conocimiento de sus
características electrodinámicas en profundidad. Conocer el estado de carga de una batería …

We use a high-gain adaptive observer and a trend filtering algorithm to detect early stages
that lead to terminal voltage collapses in Li-ion batteries. This approach allows accurate …

This article establishes a novel analytical approach to quantify robustness of scheduling and
battery management for battery supported cyber-physical systems. A dynamic schedulability …

Lithium-ion battery models that estimate their energy content after a series of charge and
discharge operations are essential in the optimal design, analysis, and operation of battery …

Small unmanned aerial vehicles (UAV) are typically driven by Lithium polymer batteries. The
batteries have their own dynamics, which changes during discharge. Classical approaches …