Samenvatting
The transportation sector has become increasingly important. Road transport consists of internal combustion engines (ICEs), which are responsible for atmospheric and noise pollution. Pollutants have a negative impact on the environment and on human health. Electrification is an alternative to reduce these negative impacts. The production costs of a battery increase with its capacity.Different opportunity charging scenarios for heavy-duty electric vehicles (HDEVs) have been suggested. The challenge lies in finding an optimum point between the number of charging spots required and the battery size. Several solutions have been studied in order to find the optimum charging scenario so that the global costs can be limited as much as possible. It has been proven that a vehicle equipped with a downsized battery pack decreases part of the global costs. This downsizing, however, results in a smaller driving range.
This can be offset by implementing on-route charging spots. The number of chargers that can be implemented on the road, however, is also limited by its cost. Batteries are still the biggest challenge to overcome in terms of cost and energy/power density. This thesis addresses the problem of battery sizing. A simulation toolbox has consequently been developed in Matlab Simulink. Starting with drive cycles and including vehicle dynamics, the energy requirements of HDEVs are assessed. Based on these calculations, the optimum battery capacity and on-road charging scenarios are determined to reduce the cost as much as possible.
| Datum prijs | 5 sep 2017 |
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| Originele taal | English |