University of Reading Research Data Archive

Heavy goods electric vehicle (HGEV) on-route charging demand modelling software

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Description

Introducing the 'Heavy goods electric vehicle (HGEV) on-route charging demand modelling' software:

This software package is designed to model the charging demand profile of targeted heavy goods electric vehicles (HGEV) at on-route charging stations operating in a public charging style. To effectively utilise the software, the factors must be available or defined for the model considering case factors (total number of vehicles being charged at the station per day, popular time, charger power, charge point efficiency), and country/operating zone based factors (including average battery capacity, average specific energy consumption, daily travelled distance).

The software package, developed for heavy goods electric vehicle (HGEV) on-route public charging station demand modelling, encompasses a comprehensive set of functions tailored to accurately simulate and analyse the charging demands of HGEVs at charging stations. Through these integrated functionalities, our software package offers a comprehensive solution for modelling and analysing HGEV charging demands at on-route public charging stations, facilitating informed decision-making and efficient station management. MATLAB (R2023a) functions as the primary development environment for the software suite, guaranteeing seamless integration with diverse engineering and scientific contexts.

Resource Type: Software
Creators: Shariati, Omid ORCID logoORCID: https://orcid.org/0000-0002-1790-7165 and Smith, Stefan ORCID logoORCID: https://orcid.org/0000-0002-5053-4639
Contributors: Coker, Phil
Rights-holders: University of Reading
Data Publisher: University of Reading
Publication Year: 2024
Data last accessed: 19 May 2024
DOI: https://doi.org/10.17864/1947.001305
Metadata Record URL: https://researchdata.reading.ac.uk/id/eprint/1305
Organisational units: Science > School of the Built Environment > Energy and Environmental Engineering group
Participating Organisations: University of Reading
Keywords: heavy goods electric vehicle, on-route charging, demand modeling
Rights:
Data Availability: OPEN

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