Industrial PhD student – Battery health estimation and battery control

This is your opportunity to contribute to a more predictable, smaller and more cost-effective future battery for our electrified vehicles!

Do you want to be part of this creative team of experienced engineers with a no-limits attitude? Do you want to devote your skills and motivation to an exciting research project with a sustainable purpose? If yes, take the chance and apply.

We are now, in cooperation with KTH, looking for an industrial PhD student within battery modelling for state-of-health estimation and battery control. The project aims at improving the battery’s utilisation, reliability and lifetime by a smart battery control.
The position is located at the Pre-development group of the department of Powertrain Control Systems Development which is responsible for research and pre-development in the areas of powertrain control strategy, engine control software, electric and hybrid powertrain technology as well as system integration. The team is interdisciplinary and covers areas such as software, control, chemical, electrical and mechanical engineering. Our project portfolio includes projects aiming to increase efficiency and decrease emissions of powertrains, detect degradation of components and systems as well as implementing simulation driven engineering within our development process.

Assignment
As an industrial PhD student you are expected to drive research, study university courses and spread your findings at Scania to development projects.

The research will focus on battery health estimation in our electrified vehicles by data-driven battery models based on machine learning methods. Part of the project will be to set requirements on the data collection and hardware. You will also implement a battery control based on your findings.

This position promises a varying and stimulating job where you can acquire key competences within machine learning, battery health and control. During the project, you will also develop your career plan at Scania in order to develop a role where you can use your new knowledge to improve our products.

Prof. Mikael Johansson will be your academic supervisor at KTH Electrical Engineering. His group consists of 8 PhD students working on a variety of projects ranging from embedded control to large-scale optimization and machine learning. In addition, you will work closely together with another PhD student at KTH Chemical Engineering who is focusing on physics-based battery models. The project will be part of the Swedish Electromobility Centre, which offers excellent collaboration and networking between five universities, the automotive industry, power industry and society. We are also planning to work together with the powertrain digitalization at VW group research, which also hosts an expat from our team from May 2018.
 
We are aiming to start the project Q3-4 2018 and it is supposed to last about 5 years leading to a PhD degree.

Personal profile
We are looking for a highly motivated candidate who has strong analytical and problem-solving skills. As a PhD student you are expected to work independently and challenge yourself and others as well as pushing the research frontier forward.

MSc degree in engineering/science is required, preferably within electrical engineering, computer science engineering physics or similar
Experience or at least strong interest in machine learning, control systems and data analysis
Interest in development of batteries and electrified vehicles, prior experience is an asset
Experienced user of Matlab/Simulink and/or experienced C/C++/Python programmer
Good communication and writing skills in English are required as you are expected to publish results in journals and present at international conferences

For more information, please contact:
Verena Löfqvist Klass, PhD, Supervisor/development engineer, Pre-development at Powertrain Control System Development, 08-553 89174, or Martin Karlsson, PhD, Head of Pre-development, 08-553 70304, or Prof. Mikael Johansson, Automatic Control Lab at KTH Electrical Engineering, 08-790 7329.

Application:
Enclose CV, personal letter, degree certificates and grade transcripts as well as references if available.

Please apply through http://www.scania.com/group/en/available-positions/ in order for us to get correct information. In case of problems during applying at scania.com, send Your application to [email protected]
Important! Refer to Scania Job Id 20177670 in the headline and enclose Your CV, personal letter and relevant copies of grades (only in word or pdf-format). We also need Your full name, address, e-mail and cell phone no in order to register Your application. We will not manage incomplete mail applications.