Research on battery charging and discharging control system based on RBF-PID

Aiming at the problems of nonlinearity, complexity and complex PID parameter tuning in the process of constant current and constant voltage charging of battery under traditional PID control, combined with the characteristics of RBF neural network, such as fast learning convergence speed and strong adaptive ability, a charge and discharge control method of battery based on RBF neural network PID is proposed. The simulation and verification are carried out in Matlab / Simulink environment. The results show that the system can achieve stability only with 0.2 s charging current and voltage, and the overshoot of the system is smaller, which can quickly react and run. Compared with the BP-PID control mode, the response speed is increased by 0.5 s, which ensures the quality of electricity and the service life of the battery.