Optimal BP neural network algorithm for state of charge estimation of lithium-ion battery using PSO with PCA feature selection
Backpropagation; Battery management systems; Charging (batteries); Electric batteries; Errors; Feature extraction; Ions; Lithium; Lithium-ion batteries; Mean square error; Neural networks; Optimization; Particle swarm optimization (PSO); Principal component analysis; Radial basis function networks;...
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| Main Authors: | , , , |
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| Format: | Article |
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American Institute of Physics Inc.
2023
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| Summary: | Backpropagation; Battery management systems; Charging (batteries); Electric batteries; Errors; Feature extraction; Ions; Lithium; Lithium-ion batteries; Mean square error; Neural networks; Optimization; Particle swarm optimization (PSO); Principal component analysis; Radial basis function networks; Back-propagation neural networks; Electric vehicle drive cycles; Hidden layer neurons; Mean absolute error; Mean absolute percentage error; Radial basis function neural networks; Root mean square errors; State-of-charge estimation; Secondary batteries |
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