Master Thesis / Internship (Charging scheduling of electric buses considering variations of operating conditions)
Electrification Suite & Test Lab
3 December 2019
Open until filled
Fixed Term (6 months)
Project Title: Charging scheduling of electric buses considering variations of operating conditions
About TUMCREATE TUMCREATE is a research platform for the improvement of Singapore's public transportation, including the deployment of electric and autonomous mobility. Researchers from Technical University Munich and Nanyang Technological University join forces and are funded by Singapore’s National Research Foundation as part of the Campus for Research Excellence and Technological Enterprise (CREATE).
In TUMCREATE, over 100 scientists, researchers and engineers work together, led by Professors from the Technical University of Munich and Nanyang Technological University. The Mission of TUMCREATE is to seek the ultimate public transport system for the people of Singapore. Our innovative road transport solutions will provide high comfort and a positive travel experience, best protection of the environment and maximum benefit to the society and the economy.
The research group Electrification Suite & Test Lab (ESTL) in TUMCREATE puts an emphasis on the interaction of the electricity grid with advanced electrified public transport systems for Singapore. Ranging from charging infrastructure optimisation to demand side management and integration of renewable energies, ESTL covers many hierarchy levels of the electrification concept in the context of the major goals of TUMCREATE.
A research project has been established to analyse the charging requirements of a fully electric public bus fleet. The goal of this master’s thesis is to analyse the impact of variations of bus operating conditions on the charging scheduling. Particularly, earliness (e.g. during off-peak hours) and lateness (e.g. during the rush hour) of buses will be considered.
Objective and Tasks
The first task is to analyse bus arrival times at termini from Singapore and other cities and to derive statistic distributions.
Next, these distributions will be integrated into an existing model and their impact will be analysed.
Finally, a charging strategy that incorporates these variations will be developed.
What we expect from you
Programming skills (e.g. Python, C)
Knowledge of stochastics and optimisation
Basic knowledge of electric buses and power systems
Excellent interpersonal skills and communication skills in both written and spoken English and ability to work with people from different backgrounds and cultures
What we offer you
Exposure to the state-of-the-art research topics
An international and multidisciplinary working environment
Guidance by researchers from world-renowned universities
Opportunity for publishing in international journals and conferences
Multicultural and dynamic working atmosphere
Enquiries and How to Apply
Please send your complete application including cover letter, CV, university transcripts and degree certificates to firstname.lastname@example.org.