State-space based multi-nodes thermal model for Lithium-ion battery

Continuous monitoring of temperature distribution for Lithium-ion (Li-ion) batteries is critical to prevent them from rapid degradation, mismatch in cell capacity, and potentially thermal runaway. Existing techniques for estimating temperature profile of batteries are either computationally inefficient or costly; the concept of state-space based multi-nodes thermal model is introduced in this paper to estimate both the surface and core temperatures of batteries. The effectiveness of the proposed model has been validated through experimental results from a 70Ah Lithium iron Phosphate (LiFePO₄) battery.