Title :
The Probabilistic Distributions of Resource Parameters of E-Vehicles Power-Supply Systems
Author :
Krivova, Lyudmila V. ; Shmoilov, Anatoly V.
Author_Institution :
Inst. of Electr. Eng., Tomsk Polytech. Univ.
Abstract :
The resource parameters of modes and processes on an example of power-supply systems and power consumption both transport, and fixed devices, installations and complexes are considered. The resource or test magnitudes are subdivided into intervals of long-term and short-term operation depending on intensity of effect on the equipment. In the given report the intervals of long-term and short-term operation are considered for parameters and magnitudes causing the overload and destruction at their increase. The intervals of long-term operation of the indicated magnitudes take place in serviceable conditions and actuate small values of test magnitudes, and the intervals of short-term operation of these parameters are observed in emergency conditions and are characterized by large values. In the report the expressions of overload and destruction risks of the equipment due to change as actual (operational and emergency) and resource or test (long-term and short-term) values. In a final part the relations of resource parameters to the influencing factors are analyzed.
Keywords :
electric vehicles; probability; E-vehicles power-supply systems; emergency conditions; power consumption; power-supply systems; probabilistic distributions; resource parameters; Building materials; Concrete; Energy consumption; Gaussian distribution; Probability distribution; Size control; Testing;
Conference_Titel :
Strategic Technology, The 1st International Forum on
Conference_Location :
Ulsan
Print_ISBN :
1-4244-0426-6
Electronic_ISBN :
1-4244-0427-4
DOI :
10.1109/IFOST.2006.312300