Using model-based reasoning for self-adaptive control of smart battery systems

Franz Wotawa*

*Corresponding author for this work

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


Keeping the power supply of autonomous and electrical vehicles working even in case of faults is of uttermost importance in order to maintain the desired behavior during operation. Especially in case of increased autonomy faults occurring in the power supply when driving should not require the vehicle to stop operation immediately. Instead the autonomous vehicle should still be able to reach a safe state like an emergency lane or a parking space. In this chapter, we introduce a method that enables the development of battery systems that react on internal or external faults in a smart way. In particular, we discuss model-based reasoning for this purpose and show its application for configuring and diagnosing systems. Besides discussing the foundations behind model-based reasoning, we make use of a smart battery system as a case study. In addition, we describe how to use the corresponding physical model for fault detection and a logical model for computing the root cause of the observed failure. The intention behind the chapter is to provide all necessary details of the methods allowing to adapt the methods to implement similar smart adaptive systems.

Original languageEnglish
Title of host publicationArtificial Intelligence Techniques for a Scalable Energy Transition
Subtitle of host publicationAdvanced Methods, Digital Technologies, Decision Support Tools, and Applications
PublisherSpringer International Publishing AG
Number of pages32
ISBN (Electronic)9783030427269
ISBN (Print)9783030427252
Publication statusPublished - 1 Jan 2020


  • Artificial intelligence for battery control
  • Configuration
  • Diagnosis
  • Model-based reasoning
  • Smart adaptation

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science(all)
  • Economics, Econometrics and Finance(all)
  • Business, Management and Accounting(all)


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