Multi-step surface temperature prediction of lithium-ion batteries based on a CNN-LSTM hybrid architecture
Accurate surface temperature prediction of lithium-ion batteries serves as the core prerequisite for feed-forward control in battery thermal management systems. Given that a single prediction model fails to simultaneously capture local temperature fluctuations and long-term thermal accumulation trends within temperatur...