State Monitor for Lithium-ion Power Battery Pack

Management technology for the lithium-ion traction batteries is the key research point for electric vehicles (EV). The states of temperature, current, single voltage, state of charge (SOC) and state of energy (SOE) should be acquired and evaluated timely. This paper has designed a battery state monitor system for the EV batteries based on LabView. Combined with the Extended Kalman Filter (EKF) of the optimal estimation theory and system parameter identify method, evaluate the SOC and SOE for lithium-ion batteries. The experiment results indicate that the EKF method is suitable for estimating the states of batteries, the virtual instrument technology could provide multiple message of the batteries.