RUL Estimation of Lithium-Ion Power Battery Based on DEKF Algorithm

Abstract

Lithium-ion power batteries are the energy source for many complex electronic systems, and their Remaining Useful Life (RUL) is critical to the safety and reliability of power systems. The high-precision estimation of lithium-ion battery life has become one of the current research hotspots, and has attracted more and more scholars' attention. In order to realize the residual cycle life estimation of lithium ion power battery, an equivalent circuit model is established for lithium ion power battery. Based on the HPPC pulse experimental data, the second-order Thevenin equivalent circuit model is selected, combined with the equivalent circuit model and battery capacity model. The state equation and measurement equation of the double extended Kalman filter algorithm and the specific iterative recursive calculation process. The accuracy and adaptability of the algorithm are verified by the actual discharge conditions. Finally, based on the life data of this experimental object, the battery RUL estimation within a reasonable error range was made. It is of great significance to improve the safety, reliability and economic benefits of the system.