Research Article
State-of-Charge Estimation of Lithium-Ion Battery Pack Based on Improved RBF Neural Networks
Table 2
Performance for the SOC estimation using different methods.
| Method | RMSE (training) (%) | RMSE (validation) (%) | MAX (training) (%) | MAX (validation) (%) | Time (s) |
| Proposed RBF | 0.041 | 0.087 | 0.4458 | 2.0232 | 114 | General RBF | 0.041 | 0.1539 | 0.6956 | 2.0904 | 30 | LSSVM | 0.042 | 0.1179 | 0.8289 | 1.8128 | 5400 | TSS_RBF | 0.044 | 0.1136 | 0.7893 | 1.9603 | 4400 |
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