Remaining useful life prediction for lithium-ion batteries based on a hybrid model combining the long short-term memory and Elman neural networks

Xiaoyu Li, Lei Zhang*, Zhenpo Wang, Peng Dong

*此作品的通讯作者

科研成果: 期刊稿件 › 文章 › 同行评审

345 引用 （Scopus）

指纹

探究 'Remaining useful life prediction for lithium-ion batteries based on a hybrid model combining the long short-term memory and Elman neural networks' 的科研主题。它们共同构成独一无二的指纹。

Engineering

Chemical Engineering