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In-motion charged vehicle simulation considering traffic and power grid interactions

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F22%3A43965559" target="_blank" >RIV/49777513:23220/22:43965559 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S136192092200150X" target="_blank" >https://www.sciencedirect.com/science/article/pii/S136192092200150X</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.trd.2022.103322" target="_blank" >10.1016/j.trd.2022.103322</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    In-motion charged vehicle simulation considering traffic and power grid interactions

  • Original language description

    When designing new electric vehicles for urban transport, both vehicle producers and operators need to establish and verify requirements that the vehicle has to fulfil regarding, e.g., energy storage capacity, driving range, or battery wear. These requirements are typically verified using simulation tools that concentrate mostly on electrical quantities, but disregard the influence of road infrastructure, surrounding traffic and detours. At the same time, an expansion of the electric vehicle fleet may have a negative impact on the existing power grid. Sufficient dimensioning of the grid elements and their verification are therefore necessary to keep the electric transport service reliable. This paper demonstrates a tool suitable for verification of battery-assisted trolleybus fleet and power infrastructure parameters, based on extensions to the SUMO traffic simulator. The tool carries out a joint simulation of electric and traffic-related quantities. It is demonstrated on seven use-cases inspired by real-life problems.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

    <a href="/en/project/EF18_069%2F0009855" target="_blank" >EF18_069/0009855: Electrical Engineering Technologies with High-Level of Embedded Intelligence</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT

  • ISSN

    1361-9209

  • e-ISSN

    1879-2340

  • Volume of the periodical

    109

  • Issue of the periodical within the volume

    August 2022

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    21

  • Pages from-to

    1-21

  • UT code for WoS article

    000819433900006

  • EID of the result in the Scopus database

    2-s2.0-85132905494