Lithium Battery Life Prediction for Electric Vehicles Using Enhanced TCN and SVN Quantile Regression
The need for lithium battery life forecast algorithms has increased due to the global acceptance of electric vehicles. To further enhance the forecast’s precision and resilience about lithium batteries’ remaining life, this study implements quantile regression with in support v...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10836734/ |
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