The Power State Estimation Method for High Energy Ternary Lithium-ion Batteries Based on the Online Collaborative Equivalent Modeling and Adaptive Correction - Unscented Kalman Filter

Accurate power state estimation plays an important role in the real-time working monitoring and safety control of high energy lithium-ion batteries. To solve difficulty low accuracy problems its under various operating conditions, characteristics lithium cobalt oxide batteries are analyzed comprehensively conditions. An improved collaborative equivalent model is established to characterize then initial value calibrated by using experimental relationship between open circuit voltage charge considering importance precious for later iterate calculation correction. And then, adaptive correction - Unscented Kalman Filter algorithm put forward applied output tracking so as realize high-precision battery estimation. The results show that can predict conveniently with convergency speed within 30 seconds, accurate effect 32 mV accuracy, max error which 3.87%, providing effective protection method cleaner production supply processes