Modern Transportation Systems and Technologies

AIM: This work aimed to determine the required charging voltage of the battery using an on-board charging winding based on electromagnetic energy generated by the alternating current of the contact wire.

METHODS: A mathematical model was created in COMSOL Multiphysics® 6.0 using Maxwell’s equations and the finite element method to calculate the induced electromotive force in the on-board winding of an unmanned aerial vehicle.

RESULTS: The relationships between the electromotive force induced in the on-board charging winding and its parameters and the distance to the contact wire were determined. The study shows that for a 600 A current in the contact wire, the charging current can allow for battery recharging and the winding weight does not exceed the multicopter lifting capacity.

CONCLUSION: This method may only be recommended for battery recharging of an unmanned aerial vehicle.

BACKGROUND: The study is based on the need to improve the performance of traction batteries for urban electric rolling stock.

AIM: This work aimed to determine the service life of the battery based on the route length of urban electric transport networks in autonomous mode without a contact network.

METHODS: Computer simulation of the operation of autonomous electric rolling stock was used based on the dynamics of movement, battery parameters, and its charge level for various operating modes.

RESULTS: A combined diagram has been developed to show the relationships between the length of battery-assisted driving sections, the number of cycles, and the service life of the traction battery. A formula is proposed to determine the battery life based on the route length and operation rate.

CONCLUSION: The findings may be used by transport companies and energy system developers to optimize the selection and operation of traction batteries.

AIM: This work aimed to develop an improved algorithm for analyzing the health of the equipment of EP1 electric locomotives using the data from the automated microprocessor control and monitoring system MSUD-N based on statistical processing of the results of monitoring a locomotive operation and to demonstrate the usefulness of its results.

METHODS: The role of diagnostic systems in the maintenance and repair of rolling stock was discussed. The approach used to find the causes of malfunctions is largely limited by available diagnostic information processing methods. We demonstrated a method to increase the accuracy of diagnostic data analysis and performed a comparative analysis of extracts from trip files of EP1 electric locomotives in regenerative braking and traction modes using a microprocessor-based traction motor diagnostic system installed on the EP1 electric locomotive.

RESULTS: We proposed an improved method for finding the causes of malfunctions in regeneration braking and traction modes of EP1 electric locomotives with the built-in MSUD-N diagnostic system as illustrated by three types of malfunctions (at locomotive operation, at trip file analysis, and post check-up). We studied real life examples of malfunctions that occurred in the electric locomotive electrical equipment and provided an illustrative report, which may be used for further analysis of the locomotive’s normal operation. To improve the method for detecting the malfunction, we developed an effective algorithm, determined advantages and disadvantages of this method, and considered the prospects for its further development. The developed algorithm for diagnosing locomotive operating parameters based on data from the MSUD-N system allows to make additional adjustments to troubleshooting and maintaining normal operation of all locomotive systems, reducing the effect of changes in equipment operating parameters following repairs and predicting the remaining service life of the locomotive.

CONCLUSION: Timely and accurate diagnostics of the traction motor to identify malfunctions will reduce the downtime of the electric locomotive during unscheduled repairs and allow to avoid unnecessary traction motor replacement costs. An improved troubleshooting algorithm used to detect the locomotive equipment faults allows to identify potential high-probability failures classified as a faulty but operational condition. Microprocessor control systems for electric locomotives have high diagnostic potential, which should be used in the design of contemporary service maintenance and routine repair systems with elements of predictive repair based on the actual health data of the equipment. Microprocessor-based diagnostic systems in electric locomotives may help develop measures aimed at reducing and preventing malfunctions, which in turn will reduce the number of line failures and delayed trains.

BACKGROUND: Design and study of linear asynchronous motors for drives with linear or reciprocating movement of working parts is a pressing task.

AIM: This work aimed to study the special aspects of determining the secondary current density of a linear asynchronous motor with a transverse magnetic flux based on the transverse fringe effect.

METHODS: Mathematical modeling based on physical effects produced equations allowing to consider the nonuniform distribution of magnetic induction in the air gap when calculating the secondary current density of a linear asynchronous motor.

RESULTS: Equations to determine secondary current density in different areas of the conductive part were obtained through analysis.

CONCLUSION: The equations for calculating the secondary current density are based on both the nonuniform distribution of magnetic induction in the transverse direction and the relationships between the geometric dimensions of the linear motor.

BACKGROUND: Improving the safety of key infrastructure facilities, including railway swing bridges, is the government priority. The unique nature of Russia, where most bridges of this type are concentrated in major metropolitan areas and have long service lives, requires innovative solutions. In the premises, the paper focuses on using digital twins as a tool capable of dramatically improving reliability and safety of these strategic structures.

AIM: This work aimed to provide a comparative analysis of operation of swing bridges in Russia and globally and assess the potential for using digital twins to improve their safety in Russia.

METHODS: We used statistical methods to analyze publicly available data. We assessed the applicability of digital twins to improve the performance and safety of bridges in Russia.

RESULTS: In Russia, 26% of swing bridges are railway bridges (compared to 18% other countries). The median age is 60 years (compared to 88 in other countries). 85% of bridges in Russia are located in cities with populations over a million (compared to 11.6% in other countries), highlighting their importance for infrastructure.

CONCLUSION: The use of digital twins to improve the safety of railway swing bridges in Russia is reasonable and requires further consideration.

BACKGROUND: Recent years have seen tectonic shifts in the world order and international law. Economic globalization has slowed down and the international division of labor is no longer considered an absolute advantage.

Individual states’ policies show that technology is becoming the cornerstone of global politics. They are both a lever of pressure and a valuable resource for development, including for shaping a nation’s global competitiveness.

In Russia, given the significant amount of transport-related operations and the existing sanctions, the issue of technological independence in the transport sector is particularly pressing. However, high efficiency of technology solutions must be ensured to boost the progress of the national economy.

AIM: This study aimed to consider the requirements to solutions that ensure technological independence in the transport industry and its sustainable development.

METHODS: The method is based on the analysis of technical and economic parameters of modes of transport, social and economic analysis, and retrospective analysis. The information for the study is based on open information sources of international non-profit organizations, research and educational institutions, and businesses.

RESULTS: We identified the parameters of research and practical solutions ensuring the technological sovereignty of Russia in the transport sector and its innovative development.

CONCLUSION: The study confirms the availability of the transport technology that responds to the existing challenges faced by the Russian transport industry and enhances the global competitiveness of the Russian economy. This technology is magnetic levitation transport which should be used as part of a single national integrated transport system to produce the maximum synergistic effect.