Prediction of Battery Discharge States Based on the Recurrent Neural Network

Yi-Zeng Hsieh,
Shih-Wei Tan,
Siang-Long Gu,
Yu-Lin Jeng,

Abstract


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.


Citation Format:
Yi-Zeng Hsieh, Shih-Wei Tan, Siang-Long Gu, Yu-Lin Jeng, "Prediction of Battery Discharge States Based on the Recurrent Neural Network," Journal of Internet Technology, vol. 21, no. 1 , pp. 113-120, Jan. 2020.

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