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Batteries

Innovative Method for State of Safety Estimation of Lithium-Ion Batteries

Strategic Insights

— 2 min read

A new report presents an innovative method for estimating the state of safety (SoS) of lithium-ion batteries (LIBs), which is crucial for ensuring the reliable and safe operation of electric vehicles. Researchers from Civil Aviation Flight University of China developed a data-driven framework that integrates health degradation and key thermal safety parameters to estimate SoS under thermal abuse conditions. The proposed model significantly outperforms traditional methods, achieving an RMSE as low as 1% in SoH estimation and an average RMSE of 3.89% in SoS estimation.

Key Takeaways:

  • The research developed an innovative method for SoS estimation, specifically addressing the state estimation and management issues of batteries under fast charging conditions.
  • The method integrates health degradation and key thermal safety parameters to estimate SoS under thermal abuse conditions.
  • The proposed model significantly outperforms traditional methods, achieving an RMSE as low as 1% in SoH estimation and an average RMSE of 3.89% in SoS estimation.
  • The research demonstrated the effectiveness of the proposed method through experiments and simulations.
  • The developed framework has the potential to improve the accuracy of battery safety assessments and enable dynamic thermal safety assessments.
  • The method was developed using a data-driven approach, which enables it to be easily adapted to different types of batteries and operating conditions.
  • The research was funded by the National Natural Science Foundation of China (NSFC), National Key R&D Program of China, Project of Civil Aircraft Fire Science and Safety Engineering Key Laboratory of Sichuan Province, and Civil Aviation Flight University of China Science Innovation Fund for Graduate Student.
  • Additional authors of the research include Qilin Wang, Yuexiang Wang, and Wenqi Guo.

Statistics:

  • RMSE of 1% in SoH estimation
  • Average RMSE of 3.89% in SoS estimation
  • Improved accuracy of battery safety assessments through the proposed framework
  • Enhanced robustness through the use of experimental thermal safety data combined with the SHAP value method
  • 1% RMSE reduction in SoH estimation compared to traditional methods

Sources:

  • "A Data-driven Framework for Lithium-ion Batteries Safety Assessment Integrating Health Degradation and Key Thermal Safety Parameters." Energy, 2025;334.
  • National Natural Science Foundation of China (NSFC)
  • National Key R&D Program of China
  • Project of Civil Aircraft Fire Science and Safety Engineering Key Laboratory of Sichuan Province
  • Civil Aviation Flight University of China Science Innovation Fund for Graduate Student
  • Civil Aviation Flight University of China
  • Song Xie, Civil Aviation Flight University of China, Coll Civil Aviat Safety Engn, Guanghan 618307, Sichuan, People's Republic of China
  • Qilin Wang, Yuexiang Wang, and Wenqi Guo, additional authors of the research

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