Content, progress and pedagogy of the module

The knowledge obtained by the end of the 2^nd semester of the MSc in Energy Engineering is enough to complete this course.

After dominating the consumer electronics market, batteries have developed as enablers of the green transition as they are a key technology in the electrification of the transportation sector and decarbonization of the energy generation industry.

The course is aimed at providing students a basic introduction and understanding of the battery performance behaviour. Furthermore, different battery modelling approaches and their specific utilization will be discussed.  

Learning objectives

Knowledge

• Basic knowledge about different energy storage technologies (i.e. electrical, thermal, electrochemical, etc.)
• Depth knowledge about batteries’ operation principles, design, etc.
• Understand the operation/role of energy storage devices and their suitability for different applications (e.g. grid services, electrical vehicles, etc.)
• Parameters that are describing the performance and lifetime behaviour of batteries
• Good knowledge about the performance (static and dynamic) behaviour of batteries and its dependence on the operating conditions (temperature, load current, etc.)
• Different performance modelling approaches for batteries, their parameterization and application
• Understand the degradation process of lithium-ion batteries from a macroscopic perspective
• Methods for lifetime estimation of lithium-ion batteries

Skills

• Derive/obtain battery parameters based on datasheet and/or laboratory measurements
• Development and parametrization of battery performance models
• Development and parametrization of simple battery lifetime models

Competences

• Evaluation of the suitability of different energy storage technologies for various applications
• Mapping the relationship between battery performance and the operating conditions
• Selection and parametrization of battery models based on specific requirements
• Design laboratory tests for battery model parametrization

Type of instruction

The course is planned and organized in close interaction with the on-going research and development activities at AAU Energy and by following the well-established PBL approach.

All lectures will include a mixture of class teaching, exercises, reflections and lecturer/supervisor feedback. Furthermore, the students will develop a mini-project using the concepts presented during the lectures.

Extent and expected workload

Since it is a 5 ECTS course module, the work load is expected to be 150 hours for the student.

Exam

Exams