Research Assistant / Master Thesis (Investigation of Decentralized Balancing Algorithms as a Combinatorial Problem)
Electrification Suite & Test Lab
29 January 2019
Open until filled
Fixed Term (from April 2019)
Technical university of Munich - Campus for Research Excellence and Technological Enterprise (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).
At 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.
More Information about TUMCREATE can be found by viewing our web pages at http://www.tum-create.edu.sg/
TUMCREATE is a research company working on improving Singapore’s public transport system and making it more sustainable by electrifying it. Research area ESTL (Electrification Suite & Test Lab) is working on the electrification of public transport and its integration into the power system.
About This Position
In Phase-I of TUMCREATE, a smart Battery Management System (BMS) was developed. For Phase-II we are building a new version of the Smart Cell platform in which we plan to incorporate our recent findings. Therefore, a PCB has been designed based on an ARM Cortex M0 Chipset which aims to drastically reduce the energy requirements of the system and therefore boost efficiency, flexibility and scalability. A special focus lies on developing balancing algorithms as they contribute significantly to the efficiency of the overall system. It’s therefore crucial to formulate a solid mathematical foundation for such algorithms.
Objectives & Tasks
The successful applicant is required to work independently on the following tasks:
Mathematical foundation: Devising a mathematical model of the balancing algorithms and formulating them as graph theoretical or combinatorial problem. The goal is it to define the distributed balancing problem in terms of an optimisation problem.
Software: Modelling the results in a comprehensible software model to validate the viability. Implementation of the findings in our simulation environment and comparing them to previous results.
Hardware implementation: Investigation of the results impact and practicability on the existing hardware platform.
Experience in PCB design.
Embedded programming knowledge is highly desirable.
Excellent interpersonal skills and communication skills in both written and spoken English.
The ability to work with people from different backgrounds and cultures.
What We Offer
Exposure to the state of art research topics
An international and multidisciplinary working environment