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.

MethodRMSE (training) (%)RMSE (validation) (%)MAX (training) (%)MAX (validation) (%)Time (s)

Proposed RBF0.0410.0870.44582.0232114
General RBF0.0410.15390.69562.090430
LSSVM0.0420.11790.82891.81285400
TSS_RBF0.0440.11360.78931.96034400