A Smart Computing Platform for Dependable Battery Management Systems

E. Armengaud*, C. Kurtulus, G. Macher, R. Groppo, M. Novaro, G. Hofer, H. Schmidt

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

An important acceptance criteria for electric mobility is the capability to efficiently use the energy stored into the battery cells over the vehicle lifetime. The battery management system (BMS) plays a central role by estimating the state of charge (current energy available) and state of health (degradation due to ageing effects) of the cells. Improvement of the estimation quality has a direct impact on the battery and thus vehicle range. It is the target of the INCOBAT project to improve the BMS by means of new electronic components, new control strategies and new development methods in order to achieve cost reduction and performance (driving range) increase. In this paper, the INCOBAT project is presented and important results with respect to computing platforms, control strategy and dependability analysis are discussed.

Original languageEnglish
Title of host publicationLecture Notes in Mobility
PublisherSpringer Science and Business Media Deutschland GmbH
Pages239-250
Number of pages12
DOIs
Publication statusPublished - 2016

Publication series

NameLecture Notes in Mobility
ISSN (Print)2196-5544
ISSN (Electronic)2196-5552

Keywords

  • Battery management systems
  • Electric vehicles
  • High-voltage battery
  • ISO26262
  • Multicore computing platforms

ASJC Scopus subject areas

  • Energy (miscellaneous)
  • Automotive Engineering
  • Control and Systems Engineering
  • Transportation

Fingerprint

Dive into the research topics of 'A Smart Computing Platform for Dependable Battery Management Systems'. Together they form a unique fingerprint.

Cite this