2016
DOI: 10.1063/1.4958528
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The comparison of RBF NN and BPNN for SOC estimation of LiFePO4 battery

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Cited by 3 publications
(1 citation statement)
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“…SOC estimation with adaptive wavelet neural networks was performed for NMC batteries with a simple discharge profile was conducted by Zhou et al [2]. The possibility of implementing backpropagation neural networks (BPNN) on LFP was studied by Pirmadusi et al [3]. Research on deep belief networks (DBNs) with support vector machines (SVMs) was presented by Li et al [4].…”
Section: Introductionmentioning
confidence: 99%
“…SOC estimation with adaptive wavelet neural networks was performed for NMC batteries with a simple discharge profile was conducted by Zhou et al [2]. The possibility of implementing backpropagation neural networks (BPNN) on LFP was studied by Pirmadusi et al [3]. Research on deep belief networks (DBNs) with support vector machines (SVMs) was presented by Li et al [4].…”
Section: Introductionmentioning
confidence: 99%