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

How to cite this Dataset

Shariati, Omid and Smith, Stefan (2024): Heavy goods electric vehicle (HGEV) price-managed depot charging demand modelling software. University of Reading. Software. https://doi.org/10.17864/1947.001306

Description

The 'Heavy goods electric vehicle (HGEV) price-managed depot charging modelling' software is a comprehensive tool tailored to model the charging demand profile of fleets of heavy goods electric vehicles (HGEV) in a depot-style operation. It efficiently manages charging slots to minimise total costs by considering electricity price variations, particularly in the UK. To effectively utilise the software, users must define key factors such as fleet size, specific energy consumption, battery capacity, charge point power, daily price profiles, and daily travelled distance.

In the context of depot-based operations, where vehicles return at the end of their duty for overnight recharging, this software adopts a price-managed charging strategy. As the transportation sector transitions to electric vehicles, grid infrastructure faces challenges meeting demand. While spare generation exists during off-peak times, the focus shifts to optimising electricity costs. Linear optimisation techniques are employed to minimise fleet charging costs. The algorithm begins by initialising parameters such as charging power, depot capacity, and vehicle characteristics. By minimising the total energy cost for individual vehicles, the software optimally recharges the entire fleet within time and capacity constraints. Developed within MATLAB (R2023a), this software ensures seamless integration across engineering and scientific domains.

Resource Type:

Software

Creators:

Shariati, Omid