Validation of a Scenario Computation Tool for Lithium Ion Battery Pack Simulations

Konferenz: PESS 2020 - IEEE Power and Energy Student Summit
05.10.2020 - 07.10.2020 in online

Tagungsband: PESS 2020 – IEEE Power and Energy Student Summit

Seiten: 6Sprache: EnglischTyp: PDF

Autoren:
Pick, Andreas (Chair for Electrochemical Energy Conversion and Storage Systems, Institute for Power Electronics and Electrical Drives (ISEA), RWTH Aachen University, Aachen, Germany)
Bihn, Stephan (Chair for Electrochemical Energy Conversion and Storage Systems, Institute for Power Electronics and Electrical Drives (ISEA), RWTH Aachen University, Aachen, Germany & Jülich Aachen Research Alliance, JARA-Energy, Germany)
Fuengwarodsakul, Nisai (The Sirindhorn International Thai-German Graduate School of Engineering, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand)
Sauer, Dirk Uwe (Chair for Electrochemical Energy Conversion and Storage Systems, Institute for Power Electronics and Electrical Drives (ISEA), RWTH Aachen University, Aachen, Germany & Jülich Aachen Research Alliance, JARA-Energy, Germany & Institute for Power Generation and Storage Systems (PGS) @ E.ON ERC, RWTH Aachen University, Germany & Helmholtz Institute Münster (HI MS), IEK 12, Forschungszentrum Jülich, Jülich, Germany)

Inhalt:
The number of applications for lithium-ion batteries has been steadily increasing in the last years. In order to carry the deployment forward, the cost of battery systems must further decrease. One way to achieve this is to reduce costly and time-consuming test efforts by simulating the electrical and thermal behavior as well as the aging effects of a battery. Thereby, an efficient pack design and manufacturing are ensured. In order to optimize the simulation process, a scenario variation and analysis tool has been implemented. The tool allows the creation of scenarios varying initial battery parameters like SOC, capacity, internal resistance, and cell temperature. These parameters can be applied on different cell types. In combination with different application profiles, the resulting scenarios are simulated. This paper serves as a proof of concept for the tool, showing its benefits and drawbacks through an exemplary use case. Two different NMC and one LTO cell with varying initial parameters are investigated in a specific application. First, optimal pack topologies are found for each cell type, ensuring sufficient energy and power capability. Subsequently, their performance under different conditions is assessed. Following the analysis of the results, a recommendation for the selection of one cell type is given.