How to cite this Dataset
Shariati, Omid and Smith, Stefan (2024): Heavy goods electric vehicle (HGEV) on-route charging demand modelling software. University of Reading. Software. https://doi.org/10.17864/1947.001305
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: https://orcid.org/0000-0002-1790-7165 and Smith, Stefan ORCID: 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: | 4 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 |
