Control Strategy Design Of Hybrid Battery Management System

With the increasing of people's living standard,people's increasing demand for vehicles,energy shortage and environmental pollution have become the most serious and urgent problems in the world.To this end,change the traditional internal combustion engine as the power source,accelerate the development of new energy vehicles powered by new energy.One of the key technologies of the battery management system,the quality of its management will directly affect the service life of the battery,safe and stable operation,but also affect the performance of the vehicle.Therefore,designing a better control strategy of battery management system is particularly important to optimize and improve the overall performance of battery system.The content of this paper is derived from the requirements of BMS in enterprise projects to design the control strategy of BMS.Firstly,the 48 V lithium titanate battery group with 19 series of 1 parallel control objects was selected as the research object.Based on the research on the SOC estimation method of the battery,a strategy based on modified ampere-hour integral-open circuit voltage was proposed to calculate the charge state of the battery group in this project.Secondly,power state(SOP)and equilibrium control strategy are designed in this paper.This paper proposes a strategy based on combined current and voltage limitation to ensure the maximum power output of the battery pack.In equilibrium control,Firstly,the cause of battery inconsistency is analyzed.On the premise of ensuring the consistency of module composition,the method of battery balance is emphatically studied.Under the consideration of cost and other factors,the method of passive balance is adopted to realize the internal balance of battery pack.Finally,matlab/simulink tool was used to build the control strategy model in this environment.After modeling and simulation verification,the functionality,logic and feasibility of the control algorithm are tested and verified in the loop on the HIL device of d SPACE.At the same time,in order to achieve test coverage and shorten test cycle,the robot framework was studied,and automated tests were developed under this framework to more efficiently verify the logical accuracy of the control strategy.This paper adopts the model-based development method,which can improve the efficiency of modelers' research on control model and algorithm in the early stage of development,reduce the development cost and shorten the whole research cycle.