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PhD Thesis - Energy Systems Research Unit - University of Strathclyde

PhD Thesis - Energy Systems Research Unit - University of Strathclyde

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After the algorithm has been followed, the outputs for each time step value that<br />

are sent back to the matching stage are,<br />

Residual Demand (km/h) = residual<br />

Percentage Tank Contents = (tank x 100) / Total Storage<br />

Fuel Used (litres or kWh) = fuel used<br />

Total Fuel Used (litres or kWh) = Total Fuel Used + fuel used<br />

At the matching stage, it is not useful to display a graph <strong>of</strong> the vehicle pr<strong>of</strong>ile <strong>of</strong><br />

use, as this would be exactly as defined by the user at the demand definition<br />

stage. A more useful output <strong>of</strong> this section to the matching process is a graph <strong>of</strong><br />

the percentage tank contents, which shows if the chosen number and type <strong>of</strong><br />

vehicles, and the refuelling policy chosen are appropriate. Overall fuel<br />

consumption information is also given.<br />

5.1.4 Electric Vehicle Charge Algorithm<br />

Due to the limitations <strong>of</strong> the amount and types <strong>of</strong> information that are readily<br />

available for electric vehicle batteries, existing battery models [4] cannot be<br />

used for the recharging <strong>of</strong> electric vehicles. A different model has, therefore,<br />

been devised which allows the recharging power requirements <strong>of</strong> the vehicles to<br />

be calculated using available data.<br />

There are two ways to determine the storage capacity <strong>of</strong> an electric vehicle.<br />

Firstly, the total capacity can be found using,<br />

TS = SC x RV x NV (5.11)<br />

Where TS = Total Storage (Wh)<br />

SC = Storage Capacity (Ah)<br />

RV = Rated Voltage (V)<br />

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