Design And Development Of High-efficiency And High-precision Battery Management System

Lithium-ion batteries are widely used in practical products such as drones,notebook computers,and electric vehicles because of their small size,long cycle life,high energy density,wide operating temperature range,and high open circuit voltage.However,when the series-parallel formation of the battery pack is applied,the problems of the health status estimation and battery pack balancing of the battery pack are not fundamentally solved.Aiming at the problem of the battery state of charge estimation is not accurate,the battery pack balance efficiency is low,and other key technologies,this thesis designs an accurate SOC algorithm,and focuses on the SOC equalization system control of lithium battery,then designs Efficient,high-precision battery management system.The specific work of this thesis is as follows: The target lithium ion battery and lithium ion battery test platform are introduced,and the equivalent circuit model of lithium ion battery suitable for this thesis is established.The parameters of the equivalent circuit model of lithium ion battery are obtained through parameter identification experiment.The EKF algorithm was built by MATLAB/Simulink to estimate the SOC of lithium-ion battery in real time.The experimental data was used to verify the SOC estimation algorithm.Based on the accurate estimation of SOC of lithium-ion battery,this thesis uses energy distribution and model prediction control algorithm to perform real-time energy optimization output management of lithium-ion battery pack,and realizes rapid and high efficiency balance of battery pack SOC while satisfying stable power output.After the simulation verification of SOC algorithm and BMS algorithm meets the requirements of this thesis,the DSP-based semi-physical platform is designed to test the lithium-ion battery SOC algorithm and the lithium-ion battery BMS algorithm.The test results show that the error rate is slightly reduced on the experimental platform due to the introduction of error,but under different working conditions,the error of the SOC estimation algorithm designed in this thesis is still below 2%,and the BMS equalization algorithm can make 7 batteries.The initial values of the SOC are equalized by about 0.021,respectively,and the voltage error of each cell of the balanced battery pack does not exceed 0.006 V.In this thesis,a precise SOC estimation algorithm and an efficient BMS algorithm model are built in MATLAB/Simulink.Based on this,a DSP-based semi-physical platform is designed to quickly test its methods,and the development of actual BMS systems and rapid testing of complex algorithms are provided.a new reference scheme...