Upskilling Academy

Battery Analysis: Testing, control and modelling

Learn about how battery management systems (BMS) function and their critical role in ensuring the safety and efficiency of energy storage solutions
Subject areas
Automation & Electrical Engineering, Energy & Sustainability
Course Duration
200 hours 8 weeks
Location
Hybrid Chalmers University of Technology, Campus Johanneberg

Are you curious about how battery management systems (BMS) function and their critical role in ensuring the safety and efficiency of energy storage solutions? Would you like to learn about the advanced methods used to estimate battery states, manage aging, and optimize performance? Then this course is perfect for you, even if you don’t have a very related background.

General information

This Tracks course will provide you the basic knowledge about battery management systems (BMS) and provides students with the opportunity to develop expertise in this important technology. Through lectures and hands-on projects, students will gain a detailed understanding of how BMS operates, its role in energy storage, and the latest industry practices in managing battery performance. You will explore different modeling techniques, including equivalent circuit models, electrochemical models, and perform state and model parameter estimation tasks. You will also analyze thermal control strategies and learn how to diagnose and predict battery aging. Throughout the course, you will work closely with both physics-based and data-driven models, applying these insights to ensure battery systems are safe, efficient, and long-lasting.

An important aspect of this course is its strong focus on practical application. You will simulate and manage battery cell behavior under different conditions. By the end of the course, you will have hands-on experience with modern tools and techniques for optimizing battery performance and longevity, similar to what is used in leading battery research labs and industries.

Language of instruction

English

How to apply:

Apply to all Tracks courses at antagning.se / universityadmissions.se
Search for the course code TRA445

To assess your application, please provide us with a short motivation letter (max. 1 page). The letter of motivation requested is an opportunity for each student to express specific interests and experience that cannot be seen from transcripts only. The purpose of the motivation letter is to assist the teachers in grouping students with respect to background and interests. In addition, it is possible to upload a CV that may provide additional background experience that may be relevant.

Upload the letter of motivation on your account at antagning.se / universityadmissions.se.

Alumni, PhD students and professionals apply by email to changfu.zou@chalmers.se

More information on how to select courses

Tracks – a unique concept

These courses provide hands-on experience solving real-world problems, fostering a collaborative mindset, and expanding your professional network. Operating in close partnership with industry, society, and cutting-edge research, Tracks courses are also continuously changed to be as up to date as possible.

Collaboration and entrepreneurship

With a Tracks course, you will become better at collaborating with people from different countries and backgrounds. You will also learn more about ethics, communication, and entrepreneurship. These skills will equip you with a head start in working life. When you take a Tracks course, you also work in our brand-new makerspace: Fuse, which is a creative meeting place with 3D printers, a variety of studios, and workshops where your creativity can flourish.

If you have already attended Chalmers and chosen to take a Tracks course, you will have the advantage of familiarizing yourself with a current critical subject and building on your current knowledge. Together with other engineers, architects, and entrepreneurs of the future, you will gain new perspectives in your future professional life.

Most Tracks courses use Chalmers makerspace Fuse – a creative meeting place where education, research, industry and the community come together to test and implement ideas.

Register today

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Who is this course for?

Course Participant profile

All master’s students, PhD candidates, and Chalmers alumni with an interest in battery management systems, modeling and control, state estimation, fast charging, machine learning applications in battery research, and battery aging studies are welcome.