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Battery Technology

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 01.10.2019
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
FT64 (P242-0097) Automotive Engineering, Bachelor, ASPO 01.04.2016 , semester 6, optional course, general subject
FT64 (P242-0097) Automotive Engineering, Bachelor, ASPO 01.10.2019 , semester 6, optional course, general subject
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
Dr.-Ing. Tatjana Dabrowski
Dr.-Ing. Matthias Puchta
Dr. rer. nat. Michael Schwalm
Mathias Thiele, B.Sc.

[updated 18.01.2022]
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:

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