Title data
Morello, R. ; Di Rienzo, R. ; Roncella, R. ; Saletti, R. ; Schwarz, R. ; Lorentz, Vincent ; Hoedemaekers, E. R. G. ; Rosca, B. ; Baronti, F.:
Advances in Li-Ion Battery Management for Electric Vehicles.
2018
Event: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
, Oct. 21–23, 2018
, Washington, DC, USA.
(Conference item: Conference
,
Speech with paper
)
DOI: https://doi.org/10.1109/IECON.2018.8591185
Project information
| Project title: |
Project's official title Project's id MiBZ - Multifunktionale intelligente Batterie Zelle 03XP0027G 3Ccar - Integrated Components for Complexity Control in affordable electrified cars 662192 |
|---|---|
| Project financing: |
Bundesministerium für Bildung und Forschung ECSEL Joint Undertaking |
Abstract in another language
This paper aims at presenting new solutions for advanced Li-Ion battery management to meet the performance, cost and safety requirements of automotive applications. Emphasis is given to monitoring and controlling the battery temperature, a parameter which dramatically affects the performance, lifetime, and safety of Li-Ion batteries. In addition to this, an innovative battery management architecture is introduced to facilitate the development and integration of advanced battery control algorithms. It exploits the concept of smart cells combined with an FPGA-based centralized unit. The effectiveness of the proposed solutions is shown through hardware-in-the-loop simulations and experimental results.
Further data
| Item Type: | Conference item (Speech with paper) |
|---|---|
| Refereed: | Yes |
| Keywords: | Batteries; Temperature measurement; Temperature sensors; Estimation; Prediction algorithms; Integrated circuit modeling; Thermal resistance |
| Institutions of the University: | Research Institutions > Central research institutes > Bayerisches Zentrum für Batterietechnik - BayBatt Research Institutions Research Institutions > Central research institutes |
| Result of work at the UBT: | No |
| DDC Subjects: | 600 Technology, medicine, applied sciences > 620 Engineering |
| Date Deposited: | 03 Jun 2022 10:19 |
| Last Modified: | 21 Aug 2025 13:24 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/69849 |

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