Research Article
A Hybrid Data-Driven Approach for Multistep Ahead Prediction of State of Health and Remaining Useful Life of Lithium-Ion Batteries
Table 4
RUL prediction accuracy (%) for B0006.
| RUL Parameters | Cycle numbers | 50 | 55 | 60 | 65 | 70 | 75 | 80 | 85 | 90 | 95 | 100 | 105 | 110 | 115 | 120 |
| SOH | 97.64 | 98.43 | 89.76 | 84.25 | 81.1 | 81.89 | 85.83 | 84.25 | 84.25 | 94.49 | 92.13 | 97.64 | 93.7 | 95.28 | 96.06 | IMF 1 | 100 | 48.82 | 70.87 | 75.59 | 81.89 | 81.1 | 86.61 | 93.7 | 73.23 | 66.14 | 74.02 | 79.53 | 90.55 | 80.31 | 94.49 | IMF 2 | 93.7 | 99.21 | 40.16 | 46.46 | 48.82 | 68.5 | 94.49 | 11.81 | 98.43 | 33.07 | 98.43 | 14.17 | 22.05 | 18.9 | 32.28 | IMF 3 | 10.24 | 20.47 | 8.66 | 18.9 | 40.16 | 37.8 | 14.96 | 30.71 | 72.44 | 77.17 | 59.84 | 52.76 | 65.35 | 85.04 | 99.21 | Residual | 96.06 | 93.7 | 91.34 | 89.76 | 88.98 | 88.19 | 87.4 | 88.19 | 88.98 | 89.76 | 91.34 | 92.91 | 94.49 | 96.85 | 98.43 |
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