State of charge estimation for lithium-ion battery based on random forests technique with gravitational search algorithm
Charging (batteries); Decision trees; Electric vehicles; Forestry; Ions; Learning algorithms; Lithium-ion batteries; Radial basis function networks; Gravitational search algorithm (GSA); Gravitational search algorithms; Radial basis function neural networks; Random forests; State of charge; State of...
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| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
IEEE Computer Society
2023
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| Summary: | Charging (batteries); Decision trees; Electric vehicles; Forestry; Ions; Learning algorithms; Lithium-ion batteries; Radial basis function networks; Gravitational search algorithm (GSA); Gravitational search algorithms; Radial basis function neural networks; Random forests; State of charge; State of charge estimations (SOC); State-of-charge estimation; Sustainable transportation systems; Battery management systems |
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