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
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;
Conference_Titel :
Clean Electrical Power (ICCEP), 2015 International Conference on
Conference_Location :
Taormina
DOI :
10.1109/ICCEP.2015.7177561
