Research on SOC Estimation and Energy Cooperative Control for Electric Vehicles

Abstract

The lithium-ion battery model is divided into three subsystems, and then the model parameters are identified online by FFRLS algorithm. The SFEKF algorithm is used to improve the filtering accuracy of traditional EKF algorithm. The SOC estimation algorithm is presented, which is based on FFRLS and SFEKF algorithm. It can accurately estimate the SOC of lithium-ion batteries with an error of around 3%. In addition, lithium-ion batteries and super-capacitors form a hybrid power supply system. An energy co-control strategy is presented, which is based on fuzzy logic control that is optimized by genetic algorithms. The designed algorithm is simulated by Simulink / advisor co-simulation platform. The simulation results showed that the service life of the power battery of electric vehicles was prolonged and the energy utilization of electric vehicles was improved.