DocumentCode
729810
Title
Approach to predictive evaluation of the reliability of electric drive train based on a stochastic model
Author
Bolvashenkov, Igor ; Herzog, Hans-Georg
Author_Institution
Inst. of Energy Conversion Technol., Tech. Univ. Muenchen, Munich, Germany
fYear
2015
fDate
16-18 June 2015
Firstpage
486
Lastpage
492
Abstract
The paper presents an attempt to formulate a new approach to the problem of predictive assessment of the reliability indices of different types of electric vehicles based on a universal stochastic model of the operations of electric drive vehicle, which practically can be applied to implement of modern maintenance strategies for any kind of electrical transport to improve its reliability, safety and fault tolerance.
Keywords
drives; electric vehicles; fault tolerance; maintenance engineering; safety; stochastic processes; electric drive train; electric vehicles; electrical transport; fault tolerance; maintenance strategies; reliability indices; universal stochastic model; Electric motors; Fault tolerance; Fault tolerant systems; Maintenance engineering; Power electronics; Vehicles; Markov process; electric drive; multi-state system reliability; predictive analysis; stochastic model;
fLanguage
English
Publisher
ieee
Conference_Titel
Clean Electrical Power (ICCEP), 2015 International Conference on
Conference_Location
Taormina
Type
conf
DOI
10.1109/ICCEP.2015.7177561
Filename
7177561
Link To Document