用于电动汽车锂离子电池短路故障估计的自适应神经观测器

Soft short circuit (SC) fault diagnosis is critical for a battery management system to prevent thermal runaway of lithium-ion batteries in electric vehicles. In this article, an adaptive neural network based observer is developed to estimate soft SC faults based on an augmented battery model subject to unknown nonlinear uncertainties. Rigorous theoretical analysis in terms of estimation error conv...