Sensorless Temperature Estimation for Lithium-ion Batteries via Online Impedance Acquisition

Yusheng Zheng, Nicolai André Weinreich, Abhijit Kulkarni, Xin Sui, Remus Teodorescu*

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Abstract

Temperature plays a significant role in the safety, performance, and lifespan of lithium-ion (Li-ion) batteries. To guarantee the safe, efficient, and long-lasting operations of batteries, one of the fundamental tasks of the battery management system (BMS) is to monitor battery temperature during operations. Nevertheless, subject to limited onboard temperature sensors, it becomes challenging for the BMS to obtain the temperature information of each cell in a battery system. To this end, this paper proposes a novel method to estimate the state of temperature (SOT) of batteries in real time based on the electrochemical impedance of batteries without the need for temperature sensors. By taking advantage of the smart battery architecture, the battery impedance at 5 Hz, which exhibit dependency on battery temperature while independency on the state of charge (SOC), can be obtained online via the bypass action. During battery operations, the impedance of the battery can be obtained through periodic bypass action and a designed filter. A simple impedance-temperature relationship that is calibrated offline, can be used to estimate and track the cell temperature. Experiments on charging show that the online calculated battery impedance has strong correlations to battery temperature, indicating its effectiveness in SOT estimation.
Original languageEnglish
Title of host publicationEnergy Storage Conference 2023 (ESC 2023)
Number of pages5
Volume2023
Publication date2024
Edition28
Pages53-57
DOIs
Publication statusPublished - 2024

Keywords

  • Batteries
  • ENERGY storage
  • Electric Vehicles
  • Electrochemical impedance
  • Temperature estimation

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