Chebyshev-Galerkin-Based Thermal Fault Detection and Localization for Pouch- Type Li-Ion Battery

Temperature is a key factor affecting the safety of the Lithium-ion (Li-ion) battery. Therefore, real-time thermal fault diagnosis is becoming more and more prominent, as battery faults can lead to local overheating and thermal runaway in severe cases. This article proposes a Chebyshev-Galerkin-based thermal fault detection and localization framework for the pouch-type Li-ion battery under limited sensing. First, the Chebyshev function is used to construct the spatial basis functions with global and orthonormal properties. Under the time-space (T-S) separation framework, the time coefficients can be derived through the Galerkin method using six sensors. Then, by decomposing the time coefficients using the independent component analysis, the temporal and spatial reference statistics can be formed for real-time fault detection. Finally, considering the detected fault snapshots, the thermal fault location can be identified by finding the maximum contributed position through T-S synthesis. Simulations and experiments demonstrate the effectiveness of the proposed method.

Automated summary

This article proposes a Chebyshev-Galerkin-based thermal fault detection and localization framework for the pouch-type Li-ion battery under limited sensing. The method utilizes Chebyshev functions to construct spatial basis functions and derives time coefficients through the Galerkin method. The proposed method demonstrates effectiveness in fault detection and localization through simulations and experiments.