Course syllabus for Advanced battery modelling and control

Course syllabus adopted 2024-05-23 by Head of Programme (or corresponding).

Overview

  • Swedish nameAvancerad modellering och reglering av batterier
  • CodeTRA445
  • Credits7.5 Credits
  • OwnerTRACKS
  • Education cycleSecond-cycle
  • DepartmentTRACKS
  • GradingTH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail

Course round 1

  • Teaching language English
  • Application code 97234
  • Minimum participants8
  • Open for exchange studentsYes

Credit distribution

0124 Project 7.5 c
Grading: TH		 7.5 c

In programmes

Examiner

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Eligibility

General entry requirements for Master's level (second cycle)
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.

Specific entry requirements

English 6 (or by other approved means with the equivalent proficiency level)
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.

Course specific prerequisites

In addition to the general requirements to study at the first-cycle level at Chalmers, necessary subject or project specific prerequisite competences (if any) must be fulfilled. Alternatively, the student must obtain the necessary competences during the course. The examiner will formulate and check these prerequisite competences. The student will only be admitted in agreement with the examiner.

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.

Aim

The course provides a platform to work and solve challenging cross-disciplinary authentic problems from different stakeholders in society such as the academy, industry or public institutions. Additionally, the aim is that students from different educational programs practice working efficiently in multidisciplinary development teams

Today, batteries play an extremely important role towards a sustainable society. Consequently, it is also crucial that batteries are used in a way that maximizes their lifetime and performance. This course aims to equip students with knowledge and tools for that by a comprehensive understanding of advanced battery management systems (BMS), covering the critical aspects of battery modeling, control, and diagnostics. Through interdisciplinary collaboration and engagement with the latest research and industry practices, students will gain skills in analyzing battery dynamics, estimating battery states and model parameters, and knowing basic control of power and temperature. By the end of the course, participants will understand both physics-based and data-driven models to assess battery health, predict aging, manage power limits, and ensure efficient and safe operation of battery systems.

Learning outcomes (after completion of the course the student should be able to)

  • critically and creatively identify and/or formulate advanced architectural or engineering problems
  • master problems with open solutions spaces which includes to be able to handle uncertainties and limited information.
  • work in multidisciplinary teams and collaborate in teams with different compositions
  • orally and in writing explain and discuss information, problems, methods, design/development processes and solutions
  • Identify and explain the functionalities of battery management systems (BMS) and their role in energy storage solutions.
  • Apply equivalent circuit models to simulate battery cell behavior and performance under different operating conditions.
  • Implement Kalman filters for battery state estimation, including state of charge (SOC) and state of health (SOH).
  • Use thermal and equivalent circuit models to control the battery power and temperature.
  • Explain physics-based and data-driven models to diagnose battery aging and predict future performance.

Content

  • Battery management systems (BMS) and its role in battery energy storage systems and role for sustainable energy systems
  • Equivalent circuit models for simulation and control
  • Battery state and parameter estimation
  • Electrochemical battery models
  • Battery aging mechanisms and their impact on battery life
  • Data-driven diagnostics and prognostics
  • Thermal management in batteries
  • Cell balancing techniques to ensure consistent performance and longevity

Organisation

The course is run by a teaching team. The course includes
  • Lectures
  • Supervised computer exercises with realistic problems
Students are organized in groups and for each session there are realistic modelling, estimation and control tasks to be performed on real measurement data

Literature

With input from the teaching team, students will develop the ability to identify and acquire relevant literature throughout their projects.
  • Plett, G. L. (2015). Battery management systems, Volume I: Battery modeling. Artech House.
  • Plett, G. L. (2015). Battery management systems, Volume II: Equivalent-circuit methods. Artech House.
  • Plett, G. L., & Trimboli, M. S. (2024). Battery management systems volume III Physics-based methods (No. 313742). Artech House.
  • Material handed out at classes.

Examination including compulsory elements

The course is arranged with lectures before lunch and supervised computer exercises with demonstrations after lunch. Students are organized in groups and for each session there are realistic modelling, estimation and control tasks to be performed on real measurement data. Tasks not completed at those sessions are home-work until next exercise session. At the end of the course the results of all such tasks are summarized in a report and handed in.

The course examiner may assess individual students in other ways than what is stated above if there are special reasons for doing so, for example if a student has a decision from Chalmers on educational support due to disability.