Publication detail

Advanced computational model of dynamics and tribology of the engine for a hybrid power train

FRIDRICHOVÁ, K. DRÁPAL, L.

English title

Advanced computational model of dynamics and tribology of the engine for a hybrid power train

Type

Other unclassified results

Language

en

Original abstract

A gradually calibrated complex computational model of dynamics and tribology of a hybrid power train allows us to understand the behaviour of the power train in terms of vibrations, loads and stresses on parts and assemblies, friction losses, etc. The model is also used to evaluate the NVH characteristics of the most advanced rolling cylinder deactivation system, which has a greater benefit in terms of reducing CO2 emissions, however worsens vibrations and noise. These results are further used to design a dynamic control strategy for the electric rotating machine to best suppress these adverse vibrations in the 14 cylinder deactivation sequences considered. The computational model in this area showed a very interesting potential for reducing vibrations, because for example, in a sequence with a firing density of 20 %, torsional vibration can be reduced by more than 80 %.

Keywords in English

hybrid, power train, dynamics, tribology, MBS, internal-combustion engine, electric machine, belt drive, vibration, cylinder deactivation, torque smoothing

Released

2025-12-31

BIBTEX


@misc{BUT200110,
  author="Kateřina {Fridrichová} and Lubomír {Drápal} and  {}",
  title="Advanced computational model of dynamics and tribology of the engine for a hybrid power train",
  year="2025",
  note="Other unclassified results"
}