Loading...
Please wait, while we are loading the content...
Similar Documents
The Estimation Life Cycle of Lithium-Ion Battery Based on Deep Learning Network and Genetic Algorithm
| Content Provider | MDPI |
|---|---|
| Author | Tan, Shih-Wei Huang, Sheng-Wei Hsieh, Yi-Zeng Lin, Shih-Syun |
| Copyright Year | 2021 |
| Description | This study uses deep learning to model the discharge characteristic curve of the lithium-ion battery. The battery measurement instrument was used to charge and discharge the battery to establish the discharge characteristic curve. The parameter method tries to find the discharge characteristic curve and was improved by MLP (multilayer perceptron), RNN (recurrent neural network), LSTM (long short-term memory), and GRU (gated recurrent unit). The results obtained by these methods were graphs. We used genetic algorithm (GA) to obtain the parameters of the discharge characteristic curve equation. |
| Starting Page | 4423 |
| e-ISSN | 19961073 |
| DOI | 10.3390/en14154423 |
| Journal | Energies |
| Issue Number | 15 |
| Volume Number | 14 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-07-22 |
| Access Restriction | Open |
| Subject Keyword | Energies Deep Learning Mlp (multilayer Perceptron) Rnn (recurrent Neural Network) Lstm (long Short-term Memory) Gru (gated Recurrent Unit) Genetic Algorithm (ga) |
| Content Type | Text |
| Resource Type | Article |
