Battery characterization and prognosis are essential for analyzing underlying
electrochemical mechanisms and ensuring safe operation, especially with the assistance of …

With the rapid development of lithium-ion batteries in recent years, predicting their remaining
useful life based on the early stages of cycling has become increasingly important. Accurate …

Feature-based machine learning models for capacity and internal resistance (IR) curve
prediction have been researched extensively in literature due to their high accuracy and …

Common models predicting the End of Life (EOL) and Remaining Useful Life (RUL) of Li-ion
cells make use of long cycling data samples. This is a bottleneck when predictions are …

Single-value prediction such as the End of Life and Remaining Useful Life is a common
method of estimating the lifetime of Li-ion batteries. Information from such prediction is …

Lithium-ion batteries are widely used in various applications, including electric vehicles and
renewable energy storage. The prediction of the remaining useful life (RUL) of batteries is …

Key technologies in cloud-based battery management systems (CBMS) significantly
enhance battery management efficiency and reliability compared to traditional battery …

The work presents selected material issues related to the development of modern
motorization. The advantages and threats of obtaining key materials for the automotive …

In the first half of this Thesis, we present the numerical analysis of splitting methods for
stochastic differential equations (SDEs) using a novel path-based approach. The application …