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In situ key aging parameter determination of a vehicle battery using only CAN signals in commercial vehicles

Author

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  • Geng, Zeyang
  • Thiringer, Torbjörn

Abstract

In this article, an on-line impedance measurement technique for a battery pack is demonstrated and proofed, using only the already existing sensors and accessible bus data in an electrified vehicle. A sufficient amount of AC harmonics in the DC-link current, for the identification purposes, is created in normal driving conditions. Fourier analysis is used to process the data and extract the impedance information. It is found that the proposed on-line method can accurately measure the battery pack impedance at a low frequency range (5 Hz to 10 mHz) with 40 Hz sampling frequency in the bus data. A key impedance value in the electrochemical impedance spectroscopy can be captured clearly in different conditions, which can be used to track the battery state of health. A recorded current waveform during an on-road test is reproduced by a state-of-art battery tester in a lab and the obtained results are compared with impedance values measured by a classic potentiostat. The results from the on-road test have an excellent agreement with lab measurements.

Suggested Citation

  • Geng, Zeyang & Thiringer, Torbjörn, 2022. "In situ key aging parameter determination of a vehicle battery using only CAN signals in commercial vehicles," Applied Energy, Elsevier, vol. 314(C).
    • Handle: RePEc:eee:appene:v:314:y:2022:i:c:s0306261922003440
    DOI: 10.1016/j.apenergy.2022.118932
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    Cited by:

    1. Han, Dongho & Kwon, Sanguk & Lee, Miyoung & Kim, Jonghoon & Yoo, Kisoo, 2023. "Electrochemical impedance spectroscopy image transformation-based convolutional neural network for diagnosis of external environment classification affecting abnormal aging of Li-ion batteries," Applied Energy, Elsevier, vol. 345(C).

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