Feature selection and optimal neural network algorithm for the state of charge estimation of lithium-ion battery for electric vehicle application
This paper presents the estimation of the state of charge (SOC) for a lithium-ion battery using feature selection and an optimal NN algorithm. Principle component analysis (PCA) is used to select the most influencing features. Out of nine variables, five input variables are selected based on the val...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2018
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