Description: Lithium-ion batteries have become the key energy storage technologies for various applications, such as electric vehicles, smart grids, or for enhancing renewables’ grid integration. This has become possible due to their superior characteristics in terms of gravimetric and volumetric energy density, efficiency, lifetime etc. Nevertheless, Lithium-ion batteries are highly non-linear energy storage devices with their performance and degradation (lifetime) behavior strongly influenced by the operating conditions (e.g., temperature, load current, number of cycles, idling time etc.). Therefore, to benefit from Lithium-ion batteries’ characteristics, precise knowledge about the performance and degradation behavior must be known at all moments during the lifetime.
This three-day course aims to provide an overview of the status of Lithium-ion batteries’ fundamentals and a deep understanding of their performance and degradation behavior. Different methods for battery performance (electrical) and degradation (lifetime) modeling will be introduced together with suitable parametrization approaches (from datasheet to laboratory experiments), respectively. These models will be subsequently used to introduce various Li-ion battery state-of-charge (SOC) and state-of health (SOH) estimation techniques.
Exemplifications of some of the discussed topics will be made through exercises in Matlab/Simulink.
Day 1: Lithium-ion Battery Fundamentals and Performance. Daniel-Ioan Stroe; 7.4 hours
- Overview of energy storage technologies
- Lithium-ion batteries fundamentals (chemistries, design, construction, operation etc.)
- Performance behavior of Lithium-ion batteries (performance parameters and their dependence on the battery operation)
Day 2: Electrical Modeling of Lithium-ion Batteries. Daniel-Ioan Stroe and Vaclav Knap; 7.4 hours
- Battery testing procedures for performance (electrical) and lifetime modeling
- Battery performance modeling approaches
- Parametrization of electrical equivalent circuit models (impedance- and DC pulse-based)
Day 3: Lithium-ion Battery Lifetime and State Estimation. Daniel-Ioan Stroe, Vaclav Knap, and Erik Schaltz; 7.4 hours
- Performance-degradation behavior of Lithium-ion batteries
- Battery lifetime modeling
- State-of-charge (SOC) estimation models and examples
- State-of-health (SOH) estimation models and examples
Prerequisites: Basic electrical engineering knowledge and basic experience with MATLAB/Simulink.
Form of evaluation: Written individual report with solutions and comments for three exercises, which will be introduced during the course.
Organizer: Associate Professor Daniel-Ioan Stroe, dis@energy.aau.dk
Lecturers: Assoc. Prof. Daniel-Ioan Stroe, AAU Energy
Assoc. Prof. Erik Schaltz, AAU Energy
Postdoc Vaclav Knap (Czech Technical University in Prague, Czech Republic)
ECTS: 2
Date/Time: 13-15 November 2023
Deadline 23 October 2023
Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT
The Danish universities have entered into an agreement that allows PhD students at a Danish university (except Copenhagen Business School) the opportunity to free of charge take a subject-specific course at another Danish university. Guests at AAU Energy can free attend the course.
Payment: A Online link will be annonced after deadline for registration
Place: AAU Energy, Aalborg
Max no. of participants: 25
- Teacher: Erik Schaltz
- Teacher: Daniel-Ioan Stroe