For wet disk clutches, the energy input is strongly influenced by its friction behavior.
However, the friction behavior cannot be simulated and therefore is mostly derived from …

The driving comfort and safety of the automotive powertrain are significantly related to the
performance, lifetime, and functionality of the lubricant. The presented study focuses on …

We present a multifidelity uncertainty quantification numerical method that leverages the
benefits of both sampling and surrogate modeling, while mitigating their downsides, for …

As a result of the increasing system complexity and more strict performance requirements,
intelligent and robust decision-making and control capabilities are of great importance for …

In order to study the characteristics of the drag torque of wet multi-plate clutches at high
speed, a mathematic model of the drag torque considering oil-gas two-phase flow was …

The increasing complexity and demanding performance requirement of modern automotive
propulsion systems necessitate more intelligent and robust predictive controls. Due to the …

The advancement of Machine-learning (ML) methods enables data-driven creation of
Reduced Order Models (ROMs) for automotive components and systems. For example …

An increasing number of science and engineering applications demand highly efficient
Uncertainty Quantification (UQ} capabilities in order to account for the presence of significant …

(TCC) characterization during steady state and dynamic operation under controlled slip
conditions on a dynamometer setup. The subject torque converter under test is a twin plate …

Accurate determination of driveshaft torque is desired for robust control, calibration, and
diagnosis of propulsion system behaviors. The real-time knowledge of driveshaft torque is …