Improvement of Traction Rolling Stock Based on Modern Energy-Saving Technologies
| Autor: | V. V. Nikitin, D. E. Kiryushin, A. M. Evstaf’ev, O. E. Pudovikov |
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| Rok vydání: | 2021 |
| Předmět: |
Computer science
020209 energy medicine.medical_treatment Topology (electrical circuits) 02 engineering and technology Traction (orthopedics) Energy storage Automotive engineering Power (physics) 0202 electrical engineering electronic engineering information engineering medicine Electrical and Electronic Engineering Hybrid power Stock (firearms) Energy (signal processing) Efficient energy use |
| Zdroj: | Russian Electrical Engineering. 92:59-62 |
| ISSN: | 1934-8010 1068-3712 |
| DOI: | 10.3103/s1068371221020036 |
| Popis: | Energy efficiency is one of the main requirements for modern traction rolling stock of mainline and industrial railway transport, as well as urban transport. A qualitative improvement in the energy efficiency indicators of traction rolling stock can be provided by building onboard power complexes using high-capacity electric energy storage units, which make it possible to organize efficient energy exchange between the main source (contact network, diesel-generator set), storage devices and energy consumers in various operating modes. Rolling stock with an energy system of this type has been designated as “hybrid traction rolling stock.” This article proposes a classification of hybrid traction rolling stock that which categorizes the specifics of the architecture of its power plants. To assess the properties of hybrid traction rolling stock, a system of quantitative indicators has been proposed, which make it possible to form a comprehensive comparative assessment of the technical level, energy efficiency, and competitiveness of various types of hybrid rolling stock. The most promising topology of a power hybrid power plant of traction rolling stock, which provides the possibility of independent control of energy flows and optimization of the operating modes of on-board energy storage systems, is shown. |
| Databáze: | OpenAIRE |
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