Cite as: Shariati, Omid; Smith, Stefan (2024): Heavy Goods Electric Vehicle (HGEV) Depot Charging Demand Modelling Software. University of Reading. Software. https://doi.org/10.17864/1947.001304 Copyright 2024 University of Reading. This code is made available under the terms of the GNU General Public License 3.0: https://www.gnu.org/licenses/gpl-3.0.html. The accompanying documentation is issued under a Creative Commons Attribution 4.0 International License: https://creativecommons.org/licenses/by/4.0/. %------------------------------------------------------------------------------------------------------------------------------- %--------------------------------Introduction to Heavy Goods Electric Vehicle (HGEV) Depot Charging----------------------------- %---------------------------------------------------Demand Modelling Software--------------------------------------------------- %------------------------------------------------------------------------------------------------------------------------------- % Introducing the "Heavy Goods Electric Vehicle (HGEV) Depot Charging Demand Modelling": % This software package is designed to model the charging demand profile of a fleet of Heavy Goods Electric Vehicles (HGEV) operating in a depot style. % To effectively utilise the software, the following factors must be available or defined for the model: %---Case Factors: %--- 1) Size of the Fleet: Number of vehicles in the fleet. %--- 2) Specific Energy Consumption: Energy consumption per unit distance for the fleet vehicles. Averaging may be required depending on the data available. %--- 3) Battery Capacity: Capacity of the batteries installed in the vehicles. %--- 4) Charge Point Power: Power rating of the charging points available at the depot. %---Country/Operating Zone Based Factors: %--- 1) Daily Travelled Distance: The average distance travelled by vehicles in the country/operational zone. (Currently set for the UK) % In a depot operational style, the fleet returns to the depot at the end of its duty, and the vehicle batteries are fully recharged overnight to be ready % for the next daily operation. To quantify the demand of the fleet, the model has been developed with the consideration of an unmanaged charging strategy. % In the current strategy, the model takes into account the main parameters of the fleet and the depot, along with the start and end times for the charging % events. Based on the state of charge of the fleet and the available charging power at the depot, the software generates the demand profile for individual % vehicles and the total demand of the fleet. This demand profile reflects the load faced by the network during the recharge time of the fleet. %------------------------------------------------------------------------------------------------------------------------------ %---Note: Before proceeding, please unzip the folder "HGEV_Depot_Charging_Demand_Modelling.zip" and carefully follow the instructions provided in the %---"Application Guide" file located within. %------------------------------------------------------------------------------------------------------------------------------