Fault tolerant traction drive of electrical helicopter with battery electric energy storage

Igor Bolvashenkov, Jörg Kammermann, Hans Georg Herzog

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The paper presents the results of compliance assessment of the values of reliability and fault tolerance of the helicopter's electric traction based on the project requirements. As a comprehensive parameter for the assessment of fault tolerance of the components with a number of degradation states, it is proposed to use the parameter degree of fault tolerance. On the basis of such a criterion the transition probabilities for the Multi-State System reliability Markov Models have been computed. The simulation and assessment results allow a conclusion about the feasibility of the traction drive topology and its compliance with the design requirements on the reliability and the future operational conditions of electrical helicopters.

Original languageEnglish
Title of host publicationConference Proceedings - 2017 17th IEEE International Conference on Environment and Electrical Engineering and 2017 1st IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538639160
DOIs
StatePublished - 12 Jul 2017
Event17th IEEE International Conference on Environment and Electrical Engineering and 2017 1st IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2017 - Milan, Italy
Duration: 6 Jun 20179 Jun 2017

Publication series

NameConference Proceedings - 2017 17th IEEE International Conference on Environment and Electrical Engineering and 2017 1st IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2017

Conference

Conference17th IEEE International Conference on Environment and Electrical Engineering and 2017 1st IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2017
Country/TerritoryItaly
CityMilan
Period6/06/179/06/17

Keywords

  • Battery electric energy storage
  • Electrical helicopter
  • Fault tolerance
  • Multi-State System Markov Model
  • Traction drive

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