Cloud computing based speed control optimization of electric bus fleet with fast charging infrastructure

• Autorzy: Szpytko J. , Salgado Y.
• Języki publikacji: EN

Abstrakty

EN

For urban electric buses, it is important to develop a schedule for fast charging of batteries as a function of existing operating conditions. The paper presents a model for the optimization of charging process of electric bus batteries in the electric vehicle charging station system on their routes, with a determined structure. The place and time of battery charging are selected as a function of the existing bus operating conditions, assessment of the battery charge level and location in the transport urban infrastructure, using the Monte Carlo simulation approach. The aim of the article is to optimize the speed of electric buses with the use of cloud computing aimed at the collision-free use of a limited number of charging stations for electric vehicles on their routes and minimizing the total energy demand.

Słowa kluczowe

EN

cloud system; charging process; electric bus

PL

system chmurowy; proces ładowania; autobus elektryczny

• Wydawca: Polskie Stowarzyszenie Telematyki Transportu
• Czasopismo: Archives of Transport System Telematics
• Rocznik: 2019
• Tom: Vol. 12, iss. 2
• Strony: 37--43
• Opis fizyczny: Bibliogr. 8 poz.

Twórcy

autor

Szpytko J.

• AGH UNIVERSITY OF SCIENCE AND TECHNOLOGY, A. Mickiewicza 30, 30-059 Krakow, Poland

autor

Salgado Y.

• AGH UNIVERSITY OF SCIENCE AND TECHNOLOGY, A. Mickiewicza 30, 30-059 Krakow, Poland

Bibliografia

• [1] CARRILERO I., et al.: Redesigning European Public Transport: Impact of New Battery Technologies in the Design of Electric Bus Fleets. XIII Conference on Transport Engineering, CIT2018. Transportation Research Procedia 33 195–202, 2018
• [2] ZHENYA J., XUELIANG H.: Plug-in electric vehicle charging infrastructure deployment of China towards 2020: Policies, methodologies, and challenges. Renewable and Sustainable Energy Reviews 90 710-727, 2018
• [3] KHANW.,AHMADF., SAADALAMM.: Fast EV charging station integration with grid ensuring optimal and quality power exchange. Engineering Science and Technology, an International Journal, 2018
• [4] SALGADO Y., SZPYTKO J.: Electric Public Bus Charging Stations Topography Modelling, in Mikulski J. (ed) Management Perspective for Transport Telematics, Springer Verlag, Berlin Heidelberg, CCIS 897 pages 197-217, 2018
• [5] TOSA (Trolleybus Optimisation Systems Alimentation) 2013. 2016
• [6] YANG C., et al.: Cloud computing-based energy optimization control framework for plug-in hybrid electric bus. Energy 125 (2017) 11-26
• [7] ROGGEA M., et al.: Electric bus fleet size and mix problem with optimization of charging Infrastructure Applied Energy, vol. 211, pp. 282-295, 2018
• [8] KURZCVEZIL T., et al.: Optimized Energy Management of Inductively Charged Electric Buses Reflecting Operational Constraints and Traffic Conditions, 2015 Models and Technologies for Intelligent Transportation Systems (MT-ITS), Budapest, Hungary, 2015

Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).