Embedded Distributed Temperature Sensing Enabled Multi-State Joint Observation of Smart Lithium-Ion Battery

Zhongbao Wei, Jian Hu, Hongwen He, Yifei Yu, James Marco

Research output: Contribution to journalArticlepeer-review

70 Citations (Scopus)

Abstract

Accurate monitoring of the internal statuses are highly valuable for the management of lithium-ion battery (LIB). This paper proposes a thermal model-based method for multi-state joint observation, enabled by a novel smart battery design with embedded and distributed temperature sensor. In particular, a novel smart battery is designed by implanting the distributed fiber optical sensor (DFOS) internally and externally. This promises a real-time distributed measurement of LIB internal and surface temperature with a high space resolution. Following this endeavor, a low-order joint observer is proposed to co-estimate the thermal parameters, heat generation rate, state of charge, and maximum capacity. Experimental results disclose that the smart battery has space-resolved self-monitoring capability with high reproducibility. With the new sensing data, the heat generation rate, state of charge, and maximum capacity of LIB can be observed precisely in real time. The proposed method validates to outperform the commonly-used electrical model-based method regarding the accuracy and the robustness to battery aging.

Original languageEnglish
JournalIEEE Transactions on Industrial Electronics
DOIs
Publication statusAccepted/In press - 2022

Keywords

  • Batteries
  • Embedded sensor
  • Heating systems
  • Monitoring
  • Optical fiber sensors
  • Optical fibers
  • Temperature measurement
  • Temperature sensors
  • distributed temperature measurement
  • heat generation rate
  • optical fiber sensor
  • smart battery

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