PhD Student Position in Adaptive Li-ion Battery Modelling for High-Performance Usage

Chalmers University of Technology

Sweden

 

At the department of Electrical Engineering research and education are performed in the areas of Communication and Antenna systems, Systems and Control, Computer vision, Signal processing and Biomedical engineering, and Electric Power Engineering. Our knowledge is of use everywhere where there is advanced technology with integrated electronics. We work with challenges for a sustainable future in society of today, for example in the growing demands concerning efficient systems for communications and electrification. 

We offer a dynamic and international work environment with about 200 employees from more than 20 countries, and with extensive national and international research collaborations with academia, industry and society. 

The department provides about 100 courses, of which most are included in the Master’s Programs ”Biomedical Engineering”, “Electric Power Engineering”, ”Systems, Control and Mechatronics” and ”Communication Engineering”.

Read more at www.chalmers.se/en/departments/e2

Information About the Research and the Project
The position is with the Automatic Control group in the division of Systems and Control. Aiming for sustainable solutions, the group is involved in many research projects on energy savings using automatic control methods. In general the projects are carried out in collaboration with other research groups, institutes and industry.

The interest and use of battery based electric, hybrid electric and plug-in hybrid electric vehicles, are steadily increasing and are gradually replacing the traditional combustion engine based  vehicles due to environmental concern and legislation. In order to use the batteries optimally, and minimize the use of fuel and energy, advanced control algorithms are required in the battery management system (BMS). Its perhaps most important function is to estimate and predict the charge and discharge powers allowed in order to not prematurely age or damage the battery cells. Today, it is at best calculated using simple equivalent circuit models and fixed limits on voltage and current, which have been experimentally determined on beforehand. The actual limits for when the cells are getting damaged, however, are dependent on potentials and conditions inside the cell. These limits are in fact time-varying and depend on the operating conditions and the status (age) of the cell. The goal of this project is to develop a method for how to derive adaptive model based algorithms estimating these interior limits and also the aging properties of the cells. Using the algorithms the power capacity of the battery can then be better utilized; charging can be made faster, the life-time increased and the energy management in hybrid vehicles be improved.

The Automatic Control research group at the department has a well established research group in the area of electrified vehicles. This project is in part a collaboration between the Automatic Control research group at Chalmers and Volvo Cars, who will provide aged cells and data. The position is at Chalmers but you will be working in close cooperation with researchers, battery experts and developers at both Chalmers and Volvo Cars.  There will also be a cooperation with Department of Physics who provides cell expertice, experimental facilities and will aid in the construction of test cells for experimental validation.

The position is for four years of PhD studies extended up to five years to accomodate teaching performed at the Department

Major Responsibilities
Your major responsibility is to pursue research in line with the project, publish and present scientific articles and take part in discussions. With the position also comes teaching in undergraduate and MSc courses up to a maximum of 20%.

Qualifications
MSc degree, preferably in control, signal processing or electrochemistry. Fluent in written and spoken English. Previous experience of battery research is a merit.

Chalmers continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at Chalmers.

Our Offer To You
Chalmers offers a cultivating and inspiring working environment in the dynamic city of Gothenburg
Read more about working at Chalmers and our benefits for employees.

Application Procedure
The application should be marked with Ref 20190317 and written in English. The application should be sent electronically and be attached as pdf-files, as below:

CV: (Please name the document: CV, Family name, Ref. number)
• CV
• Other, for example previous employments or leadership qualifications and positions of trust.
• Two references that we can contact.

Personal Letter: (Please name the document as: Personal letter, Family name, Ref. number)
• 1-3 pages where you introduce yourself and present your qualifications.

Other Documents:
• Copies of bachelor and/or master’s thesis.
• Attested copies and transcripts of completed education, grades and other certificates, eg. TOEFL test results.

Please use the button at the foot of the page to reach the application form. The files may be compressed (zipped).

Application Deadline: June 30, 2019

For questions, please contact:
Torsten Wik, Automatic Control, Department of Electrical Engineering, tw@chalmers.se, 
Tel: +46 (0)31 772 5146
Changfu Zou, Automatic Control, Department of Electrical Engineering, changfu@chalmers.se, 
Tel: +46 (0)31 772 3392
Sebastien Gros, Automatic Control, Department of Electrical Engineering, grosse@chalmers.se, 
Tel: +46 (0)31 772 1555


In your application, please refer to Polytechnicpositions.com

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