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西北工业大学 国内
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Remaining useful life prediction of lithium-ion batteries based on deep learning and soft sensing
Zhuqing Wang, Qiqi Ma,
Yangming Guo
网络空间安全学院
Northwestern Polytechnical University Xian
科研成果
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探究 'Remaining useful life prediction of lithium-ion batteries based on deep learning and soft sensing' 的科研主题。它们共同构成独一无二的指纹。
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Computer Science
Deep Learning Method
100%
Sliding Window
100%
Neural Network
66%
Gated Recurrent Unit
66%
Term Dependency
66%
Computation Cost
33%
Performance Degradation
33%
And Gate
33%
Battery Capacity
33%
Engineering
Lithium-Ion Batteries
100%
Deep Learning Method
100%
Life Prediction
100%
Recurrent
50%
Neural Unit
50%
Performance Degradation
25%
Lithium Ion Battery
25%
Electric Vehicle
25%
Sensing Method
25%
Battery Capacity
25%
Chemical Engineering
Deep Learning Method
100%
Neural Network
100%
Material Science
Lithium Ion Battery
100%