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FPGA Accelerator for Battery Management Systems in Safety-Critical Applications

Title data

Verani, A. ; Fieramosca, G. ; Colicelli, A. ; Di Rienzo, R. ; Saletti, R. ; Roncella, R. ; Schwarz, R. ; Lorentz, Vincent ; Baronti, F.:
FPGA Accelerator for Battery Management Systems in Safety-Critical Applications.
2020
Event: 2nd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES) , Sep. 1–3, 2020 , Cagliari, Italy.
(Conference item: Conference , Speech with paper )
DOI: https://doi.org/10.1109/IESES45645.2020.9210671

Official URL: Volltext

Project information

Project title:
Project's official titleProject's id
AutoDrive: Advancing fail-aware, fail-safe, and fail-operational electronic components, systems, and architectures for highly and fully automated driving to make future mobility safer, more efficient, affordable and end-user acceptable737469

Project financing: Andere
This work was supported by the ECSEL Joint Undertaking under Grant 737469 (AutoDrive) and partly by the CrossLab project, University of Pisa, funded by MIUR “Department of Excellence” program.

Abstract in another language

Lithium-Ion batteries are becoming the standard solution as power source for electrical vehicles, but the increasing request of autonomous driving capability imposes stringent safety requirements and asks to fulfil ever growing constraints to achieve the safety specifications. Several considerations must be done about the Safe Operating Area of a battery, that means maintaining the correct levels of voltage, temperature and current, as well as avoiding main power cuts due to system faults. This article proposes an FPGA implementation of a Triple Module Redundancy extension for a conventional BMS. The design of the hardware accelerator is described, the testing set-up is introduced and the results of the experimental validation process are discussed. The FPGA accelerator successfully demonstrates the full functionality and the advantages achievable by its introduction in the Battery Management System (BMS) architecture.

Further data

Item Type: Conference item (Speech with paper)
Refereed: Yes
Keywords: Battery Management System; fail-operation; redundancy; fault injection; hardware acceleration; FPGA
Institutions of the University: Research Institutions > Research Centres > Bayerisches Zentrum für Batterietechnik - BayBatt
Result of work at the UBT: No
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 03 Jun 2022 10:08
Last Modified: 03 Jun 2022 10:08
URI: https://eref.uni-bayreuth.de/id/eprint/69846