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