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

Table 2

RMSE of proposed technique at q-step ahead prediction.

	1_step	5_step	10_step	15_step	20_step	25_step	30_step
B0005	0.2723	0.2823	0.2296	0.2877	0.3016	0.334	0.4125
B0006	0.2299	0.2341	0.3283	0.3651	0.4023	0.4183	0.4542
B0018	0.284	0.3135	0.3455	0.3582	0.3452	0.4243	0.4997
CX2_16	0.6444	0.6654	0.6723	0.6776	0.7293	0.7322	0.7837
B0056	0.8129	0.8239	0.8546	0.8927	0.9321	0.9567	0.9912
B0055	0.9025	0.9491	0.9412	0.9715	1.0012	1.0123	1.1021