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<p>As environmental issues arise, the demand for electric vehicles is increasing, and accordingly, waste battery processing technology is in the spotlight. In order to reuse batteries instead of recycling them, the importance of battery performance verification technology is also increasing. For this technology, we focus on reducing the SOH (state of health) verification time of the battery and increasing the measurement accuracy. We want to obtain a battery discharge voltage graph and predict the performance of the battery by utilizing battery electrochemical spectroscopy through multiphysics analysis. In this paper, we propose a method for predicting battery discharge characteristics by utilizing the impedance matching technique and obtain a discharge graph through this.</p>

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EIS-based simulation-experiment coupled framework for predicting remaining capacity of electric vehicle batteries

  • 期刊论文

  • 发表日期：

    2025年11月8日

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  • Jungeun Byun,
  • Juae Oh,
  • Janghyuk Moon,
  • Seongmin Chang

摘要

As environmental issues arise, the demand for electric vehicles is increasing, and accordingly, waste battery processing technology is in the spotlight. In order to reuse batteries instead of recycling them, the importance of battery performance verification technology is also increasing. For this technology, we focus on reducing the SOH (state of health) verification time of the battery and increasing the measurement accuracy. We want to obtain a battery discharge voltage graph and predict the performance of the battery by utilizing battery electrochemical spectroscopy through multiphysics analysis. In this paper, we propose a method for predicting battery discharge characteristics by utilizing the impedance matching technique and obtain a discharge graph through this.