Development of an intelligent and adaptive charging strategy for electrified coaches
- Subject:Route Planning, Charging Stop Optimization, Charging Time Optimization
- Type:Bachelor / Master thesis
- Date:ab 06 / 2025
- Tutor:
Development of an intelligent and adaptive charging strategy for electrified coaches.
Context
Electrification of coaches is essential for the environmentally friendly mobility of tomorrow. However, the limited range of battery-electric buses presents bus operators with new challenges. Optimizing energy efficiency and thus the range of coaches is becoming increasingly important and should support the electrification of long-distance mobility. When planning routes, existing charging infrastructure and downtimes for recharging in particular must be taken into account. In order to increase energy efficiency, an intelligent charging strategy is to be developed that provides recommendations on the trade-off between minimum travel time and required charging times as dynamically and adaptively as possible.
Objectives
- Literature research on the current state of the art
- Preparation of data sources from charging infrastructure
- Development of an intelligent charging strategy
- Integration of live data
Prerequisites
- Programming skills in Python/Matlab/Simulink
- Basic knowledge of machine learning and neural networks/optimization
- Independent and solution-oriented way of working