Energy Storage Battery Energy Management System

As the future development direction of the power grid,the smart grid is an inevitable choice for social and economic development.With the large-scale access to solar power and wind power with discontinuity,the quality of electricity has been affected to a certain extent.Adding energy storage devices to the power grid can improve power quality and ensure power supply stability.The energy storage device is equipped with a battery energy management system to improve the insufficiency of the energy storage battery during non-stop charging and discharging,and achieve a good operation state of the energy storage battery.The characteristics of various energy storage batteries are comparatively analyzed,and the energy storage power source is determined as a lithium-ion battery.The overall design framework for the energy management of the energy storage battery is given;the core components of the energy storage system are described,and the type and parameters of the main control chip are selected.Design and analysis of lithium ion battery's working principle,charge and discharge characteristics.The paper focused on the following work:1.For the existing estimation methods can not meet the problem of real-time accurate online prediction of energy storage cells,a particle swarm optimization least squares support vector machine soft sensing method is proposed.This method uses a Least Squares Support Vector Machine(LSSVM)to establish a nonlinear system model,and Particle Swarm Optimization(PSO)applies the key to the LSSVM regularization parameter and radial basis kernel width.The parameters are optimized.The simulation results show that it can be used for lithium-ion battery SOC prediction without considering the internal physical properties of lithium-ion batteries;the prediction accuracy is high and the stability is strong,and battery SOC online prediction can be effectively performed under normal and overcharged working conditions.2.In order to improve the consistency of charge and discharge characteristics between batteries and maximize the number of energy storage batteries,it is necessary to perform balanced control of the batteries and propose a bi-directional DC/DC converter lithium-ion battery pack active equalization control strategy.By connecting the energy storage inductor,the freewheeling diode and the switch tube in parallel across the battery,when the battery inconsistency exceeds the limit,the equalization unit is controlled by the drive circuit,thereby increasing the inconsistency in the capacity of the battery pack.The simulation results show that the battery equalization scheme proposed in this paper is feasible and can achieve active bidirectional equalization between the battery packs.The equalization process is controllable and the ripple is small,which can increase the battery usage times.3.In order to further verify the feasibility and superiority of the energy storage battery energy management system,an energy storage battery energy management experimental platform is set up,and the core hardware and software are designed and analyzed,based on which the sampling circuit,the driving circuit and the battery are The overall performance was verified.The experimental results show that the battery energy management works well and the experimental results are basically consistent with the expected goals.