Design of SOC online estimation system for Aviation Lithium Battery

As an airborne emergency power supply, aviation lithium battery is the last line of defense for flight safety. In this paper, an online SOC estimation system was built based on improved BP neural network, and the initial weight and threshold of BP neural network were selected by GA-PSO algorithm. In addition, the acquisition of internal resistance parameters in the system was completed by the improved synchronous-sampling integration circuit. Through the experimental verification, the SOC online estimation system designed in this paper has high accuracy and reliability.