Abstract
Battery models allow battery management systems to make the most out of Li-ion cells. Electrochemistry-based models can provide detailed information about internal states. However, toolboxes and implementations of electrochemistry-based models rarely consider ageing phenomena. Furthermore, those that do model ageing mechanisms in their implemen-tation, do not address issues with identifiability of model parameters and the distinguishability of different ageing mechanisms. In this work, the most-studied ageing phenomena are implemented into the Doyle-Fuller-Newman model and their distinguishability is studied. It will be shown that Solid-Electrolyte-Interphase (SEI) formation and lithium plating are indistinguishable at a constant temperature and some of their model parameters are unidentifiable. We further show that operating conditions such as C-rate and upper cut-off voltage (U CV) can be used to distinguish loss of active material and cathode degradation, respectively.
Original language | English |
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Title of host publication | 2024 American Control Conference, ACC 2024 |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 5351-5356 |
Number of pages | 6 |
ISBN (Electronic) | 979-8-3503-8265-5 |
DOIs | |
Publication status | Published - 5 Sept 2024 |
Event | 2024 American Control Conference, ACC 2024 - Westin Harbour Castle, Toronto, Canada Duration: 8 Jul 2024 → 12 Jul 2024 https://acc2024.a2c2.org/ |
Conference
Conference | 2024 American Control Conference, ACC 2024 |
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Abbreviated title | ACC 2024 |
Country/Territory | Canada |
City | Toronto |
Period | 8/07/24 → 12/07/24 |
Internet address |
Funding
This work has received financial support from the European Regional Development Fund (ERDF) as part of OP-Zuid, REACT-EU
Funders | Funder number |
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European Regional Development Fund |
Keywords
- Modeling
- Lithium batteries
- Ageing