Thermal fault detection and localization framework for large format batteries

Sara Sattarzadeh, Tanushree Roy, Satadru Dey

Research output: Contribution to journalArticlepeer-review

Abstract

Safety against thermal failures is crucial in battery systems. Real-time thermal diagnostics can be a key enabler of such safer batteries. Thermal fault diagnostics in large format pouch or prismatic cells pose additional challenges compared to cylindrical cells. These challenges arise from the fact that the temperature distribution in large format cells is at least two-dimensional in nature (along length and breadth) while such distribution can be reasonably approximated in one dimension (along radial direction) in cylindrical cells. This difference makes the placement of temperature sensor(s) non-trivial and the design of detection algorithm challenging. In this work, we address these issues by proposing a framework that (i) optimizes the sensor locations to improve detectability and isolability of thermal faults, and (ii) designs a filtering scheme for fault detection and localization based on a two dimensional thermal model. The proposed framework is illustrated by experimental and simulation studies on a commercial battery cell.

Original languageEnglish (US)
Article number230400
JournalJournal of Power Sources
Volume512
DOIs
StatePublished - Nov 15 2021

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Physical and Theoretical Chemistry
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Thermal fault detection and localization framework for large format batteries'. Together they form a unique fingerprint.

Cite this