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Battery Technology

(course inactive since 07.02.2024)

Module name (EN):
Name of module in study programme. It should be precise and clear.
Battery Technology
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Automotive Engineering, Bachelor, ASPO 01.04.2016
Module code: FT64
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
1V+1U (2 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
Semester: 6
Mandatory course: no
Language of instruction:
Written exam

[updated 30.09.2020]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

EE-K2-552 (P242-0097) Energy system technology / Renewable energies, Bachelor, ASPO 01.04.2015 , optional course, engineering, course inactive since 08.02.2024
FT64 (P242-0097) Automotive Engineering, Bachelor, ASPO 01.04.2016 , semester 6, optional course, general subject, course inactive since 07.02.2024
FT64 (P242-0097) Automotive Engineering, Bachelor, ASPO 01.10.2019 , semester 6, optional course, general subject, course inactive since 18.01.2024
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
30 class hours (= 22.5 clock hours) over a 15-week period.
The total student study time is 60 hours (equivalent to 2 ECTS credits).
There are therefore 37.5 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Hans-Werner Groh
Dipl.-Wirtsch.-Ing. Christoph Kettenring

[updated 07.02.2024]
Learning outcomes:
Competencies  -  After successfully completing this course, students will be familiar with:
- the functionality of different battery technologies,
- methods for the characterization and parameterization of energy storage systems,
- physical and (electro)chemical transport processes and interaction mechanisms in battery storage,
- strategies and techniques of (macroscopic) battery storage modeling
- functionality of BMS
- battery emulation and HiL method
- Depending on interests: basic mathematical methods for solving differential equations (finite differences and LU decomposition)

[updated 30.09.2020]
Module content:
1. Basics:
- Function and application of different battery technologies
- Basic energy storage concepts
- Characteristic parameters and methods for the parameterization of energy storage devices (e.g.: Basic concepts of energy storage devices)
2. Modeling:
- Overview of modeling approaches
- Fundamentals of thermodynamics with a focus on energy storage
- Modeling transport processes (continuity equation mass, charge, energy) and interactions (Butler-Volmer equation and double layer) mathematically using the example of the lithium-ion battery
3. Battery management systems (BMS):
- Control and monitoring of battery systems with a battery management system
- Determining the condition of energy storage devices
- The aging of energy storage devices
4. Battery emulation:
- Using the simulation software in Hardware-in-the-Loop (HiL) processes
- Modeling approaches and real-time requirements
- Bus systems and communication
- Introduction to and application of the electrochemical simulation software ISET-LIB
- Practical application of electrochemical modeling with examples
- Interpretation of the results based on knowledge about the transport processes, interactions and functionality of the energy storage

[updated 30.09.2020]
Recommended or required reading:

[still undocumented]
[Thu Jun 20 07:47:59 CEST 2024, CKEY=fbc, BKEY=fz3, CID=FT64, LANGUAGE=en, DATE=20.06.2024]