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Multi-dimensional aging diagnosis of lithium-ion battery with a long short-term memory neural network
更新时间:2025-07-21
    • Multi-dimensional aging diagnosis of lithium-ion battery with a long short-term memory neural network

    • In the field of battery performance degradation, experts have improved models and established neural networks to predict the future capacity degradation trajectory of batteries with an error of less than 2%.
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 11, Pages: 3135-3147(2024)
    • 作者机构:

      1.潍柴动力股份有限公司 电控与软件研究院,山东 潍坊 261061

      2.北京理工大学 机械与车辆学院,北京 100081

    • DOI:10.13229/j.cnki.jdxbgxb.20230056    

      CLC: TM912
    • Received:17 January 2023

      Published:01 November 2024

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  • REN Xian-feng,YUAN Wen-wen,WU Xue-qiang,et al.Multi-dimensional aging diagnosis of lithium-ion battery with a long short-term memory neural network[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(11):3135-3147. DOI: 10.13229/j.cnki.jdxbgxb.20230056.

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