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Prediction of remaining useful life of lithium batteries based on grey wolf optimization and combined kernel function GPR model
Energy Storage Technology | 更新时间：2025-12-29

    • Prediction of remaining useful life of lithium batteries based on grey wolf optimization and combined kernel function GPR model

    • “The latest research progress shows that experts have significantly improved the accuracy of predicting the remaining service life of lithium-ion batteries through the combination kernel Gaussian process regression model optimized by grey wolf optimization algorithm.”
    • BLASTING   Vol. 47, Issue 12, Pages: 25-33(2025)

    • DOI：10.3969/j.issn.2097-0706.2025.12.003    

      CLC： TM 912

    • Received：28 August 2025，

      Revised：2025-09-19，

      Published Online：01 December 2025，

      Published：25 December 2025

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  • HU Linjing,LI Zaiwei.Prediction of remaining useful life of lithium batteries based on grey wolf optimization and combined kernel function GPR model[J].BLASTING,2025,47(12):25-33. DOI： 10.3969/j.issn.2097-0706.2025.12.003.

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