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Battery Performance Modelling

  • Credits 2.5  credits
  • Education level Second cycle
  • Study location Distance with no obligatory meetings
  • Course code MTA400
  • Main area Product and Process Development/Energy Engineering

Understanding and optimizing battery performance is crucial for advancing electrification, sustainable mobility, and renewable energy systems. This course provides a comprehensive overview of battery performance, ageing processes, and modelling techniques to improve efficiency, reliability, and service life.

You will explore battery operation from a whole-system perspective, including its integration in electric vehicles (EVs), charging infrastructure, and energy grids. The course covers both physics-based and data-driven modelling approaches at the cell, module, and pack levels, equipping learners with tools to monitor, predict, and optimize battery performance in real-world applications.

Through this course, you will gain the ability to assess battery health, model degradation, and evaluate second-life applications from both technical and economic standpoints.

Course content

  • Battery fundamentals and degradation mechanisms
  • Battery modelling
  • Battery monitoring and diagnostics
  • Operational strategies for battery systems
  • Techno-economic performance assessment
  • Battery second-life applications

Occasions for this course

Autumn semester 2026

  • Scope

    2.5 credits

    Time

    2026-11-09 - 2027-01-17 (part time 25%)

    Education level

    Second cycle

    Course type

    Freestanding course

    Application code

    MDU-10063

    Language

    English

    Study location

    Independent of location

    Teaching form

    Distance learning
    Number of mandatory occasions including examination: 0
    Number of other physical occasions: 0

    Specific requirements

    75 credits in mechanical engineering, production engineering, product and process development, industrial engineering and management, computer science, physics or equivalent or 40 credits in engineering/technology and at least 2 years' experience in full-time employment in a relevant area within industry. In addition Swedish course 3 or Swedish level 3 and English course 6 or English level 2 are required. For courses given entirely in English exemption is made from the requirement in Swedish course 3 or Swedish level 3.

    Selection

    Work experience/university credits

Questions about the course?

If you have any questions about the course, please contact the Course Coordinator.

Senior Lecturer

Anas Fattouh

+4616153299

anas.fattouh@mdu.se