| Title |
Remaining Useful Life Prediction for Litium-Ion Batteries Using EMD-CNN-LSTM Hybrid Method |
| Authors |
Je-Yeong Lim ; Dong-Hwan Kim ; Tae-Won Noh ; Byoung-Kuk Lee |
| DOI |
https://doi.org/10.6113/TKPE.2022.27.1.48 |
| Keywords |
Remaining useful life; Deep learning; Convolution neural network; Long short term memory; Empirical mode decomposition |
| Abstract |
The design of a gate driver power supply for a three-phase inverter using a silicon carbide (SiC) MOSFET. The requirements for the power supply circuit of the gate driver for the SiC MOSFET are investigated, and a flyback converter using multiple transformers is used to make the four isolated power supplies. The proposed method has the advantage of easily constructing the power supply circuit in a limited space as compared with a multi-output flyback converter using a single core. The power supply circuit for the three-phase SiC MOSFET inverter for driving an AC motor is designed and implemented. The operation and validity of the implemented circuit are verified through simulations and experiments. |