Research Article

A Hybrid Data-Driven Approach for Multistep Ahead Prediction of State of Health and Remaining Useful Life of Lithium-Ion Batteries

Table 7

RUL prediction accuracy (%) for CX2-16.

RUL
Parameters
Cycle numbers
13301360139014201450148015101540157016001630166016901720

SOH92.3997.6195.7495.493.9890.1777.2791.7689.8999.8381.8882.9581.1484.32
IMF 190.5186.781.4258.6481.5379.3251.7686.1474.0986.6531.9967.1644.7270.74
IMF 287.6196.1495.1795.1799.6691.9371.4897.2274.6688.0789.8989.0391.3180.34
IMF 391.769.0349.6659.0397.9581.4295.872.580.6821.6572.952.3343.4772.78
IMF 465.8543.641.3174.8210.9715.6367.8430.4573.4157.7337.916.722.9536.7
IMF 531.3142.7395.431.717.955.6384.5547.3345.3472.194.6672.964.9470.34
IMF 653.1872.4464.9414.3235.882.2277.3345.1723.4712.7311.8219.4334.4355.4
Residual98.5298.8699.299.4999.7299.9499.8999.7299.699.5599.5599.699.7299.89