Prediction of Battery Discharge States Based on the Recurrent Neural Network

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篇名	Prediction of Battery Discharge States Based on the Recurrent Neural Network
並列篇名	Prediction of Battery Discharge States Based on the Recurrent Neural Network
作者	Yi-Zeng Hsieh、Shih-Wei Tan、Siang-Long Gu、Yu-Lin Jeng
英文摘要	The recurrent neural network can solve the time sequential problems and the battery discharge state is predicted based on the time sequential neural network. The main purpose is to predict the battery discharge condition with recurrent neural network, and then improve the traditional mathematical prediction method. Nowadays, prediction of the battery life cycle is more important. Compared with our models, there are the five fixing currents as testing experiments. The error rate has less than 2% and the prediction battery life is close to real data.
起訖頁	115-123
關鍵詞	Deep learning、Battery life prediction、LSTM、RNN、GRU
刊名	網際網路技術學刊
期數	202001 (21:1期)
出版單位	台灣學術網路管理委員會
DOI	10.3966/160792642020012101011 複製DOI
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