Thesis supervisor: Bálint Csonka
Location of studies (in Hungarian): Department of Transport Technology and Economics Abbreviation of location of studies: KTKG
Description of the research topic:
Detailed description of the topic:
a) Antecedents:
Research on data modelling and mobility service analysis has a long history at the Department. Based on the results in electromobility, the research scope may be extended. As the road traffic is managed, the charging demand generated by the increasing number of electric vehicles may be managed on the electrical network level. The capacity of the electrical network is limited, and the capacity expansion requires high capital investment. Furthermore, charging demand fluctuates like traffic volume, which has an adverse effect on the grid. Novel and innovative management methods may help to mitigate these adverse effects. Based on the charging demand characteristics, new relations may be revealed that support the development of development, improvement and implementation of planning and management methods. The harmonisation efficiency of charging demand and power supply may be improved considering territorial attributes and mobility demands. The application of local power generation and storage systems may mitigate the adverse effect of charging on electricity network; however, the integration of these elements into the electromobility system using smart solutions has not done yet. Finally, the spread of electric vehicle use in urban logistics and taxi services may be facilitated by special charging infrastructure.
b) Aim of the research:
Identification of factors affecting the charging demand with a focus on passenger cars, taxis, and urban logistics. Multi criteria analysis of charging demand attributes and charging demand model development. Assessment and evaluation of centralised and decentralised charging control solutions considering the aims, efficiency, data security, processing capacity, and input data. Based on the charging demand model, development of charging management method to support even distribution of charging demand in space and time considering the flexibility of charging demand. Based on charging management tools, dynamic tariff system development. Development of local power generation and energy storage system capacity optimisation methods to reduce charging demand fluctuation considering vehicle to grid (V2G) energy flows. Charging station locating method development to support the spread of electric vehicle use in urban logistics and taxi services based on the charging demand model and considering the capacity of the electrical network.
c) Tasks to be performed, their main elements, time requirement:
Year 1 • Situation analysis, identification of challenges, literature review.
• Overview, evaluation and multi criteria comparison of centralised and decentralised charging control methods.
• Identification of factors affecting the charging demand
Year 2 • Development of charging demand model.
• Identification of factors affecting the flexibility of the charging demand.
• Charging management method development to support even distribution in space and time.
Year 3 • Development of dynamic tariff system to reduce fluctuation of charging demand.
• Charging station locating method development for urban logistics and taxi services.
Year 4 • Local power generation and energy storage capacity optimisation method to reduce the fluctuation of grid load generated by electric vehicles
• Synthetising results and continuous improvement/development of results.
• Preparation of dissertation.
d) Required equipment:
A computer laboratory and all software of Department are available for research purposes.
e) Expected scientific results:
Factors affecting charging demand, charging demand model, charging management method, dynamic tariff system, charging station locating method for urban logistics and taxi services.
2 papers in journals with Impact Factor registered in Web of Science database.
2 conference papers published in international conference proceedings.
f) Literature:
Scientific papers in the following topics: electromobility, centralised and decentralised charging management, charging demand, charging scheduling, dynamic tariff system, charging station locating method, service quality, qualitative and quantitative impacts.
Required language skills: English medium level Recommended language skills (in Hungarian): French or German basic level Further requirements: knowledge of basic rules/methods regarding research and preparation of publications,
good knowledge (comprehensively and in details) in informatics and passenger transportation systems
Number of students who can be accepted: 1
Deadline for application: 2022-11-06
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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