The Research Of A Battery Management System Based On STM32

As electric bicycles and electrom obiles become increasingly popularized, battery is the most critical part. The effective monitoring of battery and the full use of electric power are two m ajor tasks for battery m anagement system. Since the traditional battery management system, with backwa rd way of monitoring and less effective estimation of battery capacity, is unable to meet the current requirement of strictly controlling the battery discharge process, it is very neccesary to develop a new battery management system with high efficiency and high speed.A battery m anagement control panel, to meet the requirement of battery manangement system, is developed in orde r to design battery m anagement software which includes data collection, SOC analysis, communication and debugging and human-computer interaction. That the task is atta inable by the design is proved by experiment.Battery modeling is a critical step for the design of battery m anagement system. Analyzing several existing batt ery models, the author choo ses the proper battery for modeling and obtains relevant parameters through param eter identification. In the design, the author first e mploys basic cons tant parameter model to work out the battery static parameters and then, combing the parameter statistics and idenfication, obtains the relevant battery param eters. In data analysis, UKF(Unscented Kalm an Filter) is chosen to estimate the SOC af ter the pros and cons of various theory has been discussed. The computational for mula of UKF is derivated by pre-selected battery model.The communication and debugging module is added to guarantee that the system is debuggable. This m odule is to transm it the aquired data from the system to upper computer, which is able to provide prim ary data for post experiment. After analyzing the primary data, we can conclude that the system meets the expected requirement and UKF is feasible to estimate SOC.