Use of Stochastic Models for Operational Efficiency Analysis of Multi Power Source Traction Drives

Abstract

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.