State-of-charge is replaced by state-of-energy to determine cells residual energy.
The battery state-space model is established based on a neural network.
Temperature and current influence are considered to improve the model accuracy.
The particle filter is used for state-of-energy estimation to improve accuracy.
The robustness of new method is validated under dynamic experimental conditions.