TY - GEN
T1 - Use of stochastic models for operational efficiency analysis of multi power source traction drives
AU - Bolvashenkov, Igor
AU - Herzog, Hans Georg
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/3/11
Y1 - 2016/3/11
N2 - Modern development of new technologies, equipment and materials in the field of electric power engineering has allowed a fresh look at the problem of increasing economic efficiency, environmental performance and reliability of electric propulsion for different types of the vehicle drive trains. Considering the higher requirements regarding reliability and fault tolerance, efficiency, ecological parameters and limitations on the installation space and weight of the all traction equipment, the correct choice of type and design features of the electric propulsion drive is extremely important carry out on the basis of a system approach. This paper describes the experience of using stochastic models to assess the operational efficiency of the vehicle electric propulsion systems, consisting of a few generating elements, and one or more traction motors. This type of propulsion system is typical for the icebreakers, arctic cargo ships, diesel-electric locomotives, hybrid cars and aircraft. The deterministic approach does not allow evaluate probabilistic character of operational processes, such as energy output of thermal engines, operational fuel consumption, load modes of traction electric motors, as well as a large number of random factors affecting the accuracy of the simulation results.
AB - Modern development of new technologies, equipment and materials in the field of electric power engineering has allowed a fresh look at the problem of increasing economic efficiency, environmental performance and reliability of electric propulsion for different types of the vehicle drive trains. Considering the higher requirements regarding reliability and fault tolerance, efficiency, ecological parameters and limitations on the installation space and weight of the all traction equipment, the correct choice of type and design features of the electric propulsion drive is extremely important carry out on the basis of a system approach. This paper describes the experience of using stochastic models to assess the operational efficiency of the vehicle electric propulsion systems, consisting of a few generating elements, and one or more traction motors. This type of propulsion system is typical for the icebreakers, arctic cargo ships, diesel-electric locomotives, hybrid cars and aircraft. The deterministic approach does not allow evaluate probabilistic character of operational processes, such as energy output of thermal engines, operational fuel consumption, load modes of traction electric motors, as well as a large number of random factors affecting the accuracy of the simulation results.
KW - Ecological damage
KW - Efficiency
KW - Markov-model
KW - Reliability
KW - Ship electric propulsion
UR - http://www.scopus.com/inward/record.url?scp=84964849774&partnerID=8YFLogxK
U2 - 10.1109/SMRLO.2016.30
DO - 10.1109/SMRLO.2016.30
M3 - Conference contribution
AN - SCOPUS:84964849774
T3 - Proceedings - 2nd International Symposium on Stochastic Models in Reliability Engineering, Life Science, and Operations Management, SMRLO 2016
SP - 124
EP - 130
BT - Proceedings - 2nd International Symposium on Stochastic Models in Reliability Engineering, Life Science, and Operations Management, SMRLO 2016
A2 - Lisnianski, Anatoly
A2 - Frenkel, Ilia
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Symposium on Stochastic Models in Reliability Engineering, Life Science, and Operations Management, SMRLO 2016
Y2 - 15 February 2016 through 18 February 2016
ER -