Content, progress and pedagogy of the module

The module is based on knowledge achieved when studying the 2nd semester on the Master of Science in  Energy Engineering with an electrical or thermal specialisation or Master of Science in Sustainable Energy Engineering with specialisation in Offshore Energy Systems or similar.

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

The course aims to provide students with a basic introduction and understanding of the battery performance behavior. Furthermore, different battery modeling approaches and their specific utilization will be discussed.

Learning objectives

Knowledge

• Basic knowledge about different energy storage technologies (i.e., electrical, thermal, electrochemical, etc.)
• In-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, electric vehicles, etc.);
• Parameters that describe the performance and lifetime behavior of batteries
• Good knowledge about batteries' performance (static and dynamic) behavior and their dependence on the operating conditions (temperature, load current, etc.)
• Different performance modeling 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 the 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 organised closely with the ongoing 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