The choice of an optimal structure and parameters of energy storage for an electrical helicopter traction drive

Igor Bolvashenkov; Jorg Kammermann; Hans Georg Herzog; Ilia Frenkel

doi:10.1109/EVER.2017.7935865

The choice of an optimal structure and parameters of energy storage for an electrical helicopter traction drive

Igor Bolvashenkov, Jorg Kammermann, Hans Georg Herzog, Ilia Frenkel

Professur für Energiewandlungstechnik

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

6 Zitate (Scopus)

Abstract

This paper describes the reliability indices analysis of a battery electric energy storage consisting of multiple battery submodules for an electrical search and rescue helicopter. The whole system reliability assessment is based on the reliability evaluation of system components including individual battery cells. Regarding the high requirements to reliability and fault tolerance, including the strict limitations on the installation space and weight of the whole system, the accurate assessment and correct choice of the type and design features of such electric energy storage is extremely important. Considering the task of minimizing the weight and size of a storage device, in terms of a system approach, an optimal number of phases of the traction motor integrated with multilevel power inverter has been discussed and recommended.

Originalsprache	Englisch
Titel	2017 12th International Conference on Ecological Vehicles and Renewable Energies, EVER 2017
Herausgeber (Verlag)	Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)	9781538616925
DOIs	https://doi.org/10.1109/EVER.2017.7935865
Publikationsstatus	Veröffentlicht - 30 Mai 2017
Veranstaltung	12th International Conference on Ecological Vehicles and Renewable Energies, EVER 2017 - Monte-Carlo, Monaco Dauer: 11 Apr. 2017 → 13 Apr. 2017

Publikationsreihe

Name	2017 12th International Conference on Ecological Vehicles and Renewable Energies, EVER 2017

Konferenz

Konferenz	12th International Conference on Ecological Vehicles and Renewable Energies, EVER 2017
Land/Gebiet	Monaco
Ort	Monte-Carlo
Zeitraum	11/04/17 → 13/04/17

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Bolvashenkov, I., Kammermann, J., Herzog, H. G., & Frenkel, I. (2017). The choice of an optimal structure and parameters of energy storage for an electrical helicopter traction drive. in 2017 12th International Conference on Ecological Vehicles and Renewable Energies, EVER 2017 Artikel 7935865 (2017 12th International Conference on Ecological Vehicles and Renewable Energies, EVER 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EVER.2017.7935865

Bolvashenkov, Igor ; Kammermann, Jorg ; Herzog, Hans Georg et al. / The choice of an optimal structure and parameters of energy storage for an electrical helicopter traction drive. 2017 12th International Conference on Ecological Vehicles and Renewable Energies, EVER 2017. Institute of Electrical and Electronics Engineers Inc., 2017. (2017 12th International Conference on Ecological Vehicles and Renewable Energies, EVER 2017).

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title = "The choice of an optimal structure and parameters of energy storage for an electrical helicopter traction drive",

abstract = "This paper describes the reliability indices analysis of a battery electric energy storage consisting of multiple battery submodules for an electrical search and rescue helicopter. The whole system reliability assessment is based on the reliability evaluation of system components including individual battery cells. Regarding the high requirements to reliability and fault tolerance, including the strict limitations on the installation space and weight of the whole system, the accurate assessment and correct choice of the type and design features of such electric energy storage is extremely important. Considering the task of minimizing the weight and size of a storage device, in terms of a system approach, an optimal number of phases of the traction motor integrated with multilevel power inverter has been discussed and recommended.",

keywords = "Markov model, electric energy storage, electrical helicopter, fault tolerance, multilevel inverter, reconfigurable configuration, reliability",

author = "Igor Bolvashenkov and Jorg Kammermann and Herzog, {Hans Georg} and Ilia Frenkel",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 12th International Conference on Ecological Vehicles and Renewable Energies, EVER 2017 ; Conference date: 11-04-2017 Through 13-04-2017",

year = "2017",

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doi = "10.1109/EVER.2017.7935865",

language = "English",

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Bolvashenkov, I, Kammermann, J, Herzog, HG & Frenkel, I 2017, The choice of an optimal structure and parameters of energy storage for an electrical helicopter traction drive. in 2017 12th International Conference on Ecological Vehicles and Renewable Energies, EVER 2017., 7935865, 2017 12th International Conference on Ecological Vehicles and Renewable Energies, EVER 2017, Institute of Electrical and Electronics Engineers Inc., 12th International Conference on Ecological Vehicles and Renewable Energies, EVER 2017, Monte-Carlo, Monaco, 11/04/17. https://doi.org/10.1109/EVER.2017.7935865

The choice of an optimal structure and parameters of energy storage for an electrical helicopter traction drive. / Bolvashenkov, Igor; Kammermann, Jorg; Herzog, Hans Georg et al.
2017 12th International Conference on Ecological Vehicles and Renewable Energies, EVER 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7935865 (2017 12th International Conference on Ecological Vehicles and Renewable Energies, EVER 2017).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

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AU - Herzog, Hans Georg

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PY - 2017/5/30

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N2 - This paper describes the reliability indices analysis of a battery electric energy storage consisting of multiple battery submodules for an electrical search and rescue helicopter. The whole system reliability assessment is based on the reliability evaluation of system components including individual battery cells. Regarding the high requirements to reliability and fault tolerance, including the strict limitations on the installation space and weight of the whole system, the accurate assessment and correct choice of the type and design features of such electric energy storage is extremely important. Considering the task of minimizing the weight and size of a storage device, in terms of a system approach, an optimal number of phases of the traction motor integrated with multilevel power inverter has been discussed and recommended.

AB - This paper describes the reliability indices analysis of a battery electric energy storage consisting of multiple battery submodules for an electrical search and rescue helicopter. The whole system reliability assessment is based on the reliability evaluation of system components including individual battery cells. Regarding the high requirements to reliability and fault tolerance, including the strict limitations on the installation space and weight of the whole system, the accurate assessment and correct choice of the type and design features of such electric energy storage is extremely important. Considering the task of minimizing the weight and size of a storage device, in terms of a system approach, an optimal number of phases of the traction motor integrated with multilevel power inverter has been discussed and recommended.

KW - Markov model

KW - electric energy storage

KW - electrical helicopter

KW - fault tolerance

KW - multilevel inverter

KW - reconfigurable configuration

KW - reliability

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Bolvashenkov I, Kammermann J, Herzog HG, Frenkel I. The choice of an optimal structure and parameters of energy storage for an electrical helicopter traction drive. in 2017 12th International Conference on Ecological Vehicles and Renewable Energies, EVER 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 7935865. (2017 12th International Conference on Ecological Vehicles and Renewable Energies, EVER 2017). doi: 10.1109/EVER.2017.7935865

The choice of an optimal structure and parameters of energy storage for an electrical helicopter traction drive

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