Abstract Hybrid Electric Vehicles (HEVs) are facing difficulties in the aspect of splitting the
demand power between various drivetrain components. To negate this issue an efficient …

Battery state estimation is fundamental to battery management systems (BMSs). An accurate
model is needed to describe the dynamic behavior of the battery to evaluate the …

Due to manufacturing variation, battery cells often possess heterogeneous characteristics,
leading to battery state-of-charge variation in real-time. Since the lowest cell state-of-charge …

Modern tendencies together with growing consciousness about the negative environmental
influence of the transportation technologies have yielded electric vehicles as one of the …

Accurate battery state-of-charge (SOC) estimation is important for the efficient and reliable
operation of battery application systems. The extended Kalman filter (EKF), which is based …

The concept of Digital Twin (DT) is widely explored in literature for different application fields
because it promises to reduce design time, enable design and operation optimization …

In this work, an electro-thermal model of a single lithium-ion battery cell has been developed
in Simulink-Simscape environment. The model is divided in two interacting parts: the …

This article presents a novel approach to extract the equivalent circuit model parameter from
a pulse test. The presented results corroborate that this novel heuristic methodology can …

In recent years, research on lithium–ion (Li-ion) battery safety and fault detection has
become an important topic, providing a broad range of methods for evaluating the cell state …

When modelling lithium-ion batteries thorough identification of parameters across the entire
operation domain is necessary to capture non-linear variations of properties caused by …