Predictive climate control for electric buses

Background

The Range of electric buses will strongly by the air conditioning of the interior influenced. A possibility the range to increase consists isthe climate control "smart" to design. The means the regulation becomes with Information about Weather, passengers etc. enriched and can thereby predictively control.

The combination of model predictive control and machine learning learning offers here unique possibilities.

Based on this idea, the work is structured as follows:

• Research on state of the art
• Construction of prediction models
• Structure of a model predictive control
• Evaluation of the energy savings compared to a classical regulation

Requirements

• High level of self-motivation, programming skills, interest in the topic of artificial intelligence.