Heavy goods electric vehicle (HGEV) depot charging demand modelling software

How to cite this Dataset

Shariati, Omid and Smith, Stefan (2024): Heavy goods electric vehicle (HGEV) depot charging demand modelling software. University of Reading. Software. https://doi.org/10.17864/1947.001304

Description

Introducing the 'Heavy goods electric vehicle (HGEV) depot charging demand modelling' software:

This software package is crafted 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 factors must be available or defined for the model including case factors (like size of the fleet, specific energy consumption, battery capacity, charge point power), and country/operating zone based factors (e.g., daily travelled distance).

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. MATLAB (R2023a) functions as the primary development environment for the software suite, ensuring seamless integration with diverse engineering and scientific contexts.

Resource Type:

Software

Creators:

Shariati, Omid