ARM-based Design And Implementation Of Battery Management And Monitoring System

The battery based energy voltage storage power supply component owned excellentperformance. Typically have high power density or energy density, long cycle life, high reliability,security, etc. And it has been widely used in electric vehicles, space power, communication power,new energy power generation (Wind, solar, etc.), power pulse devices which require energy storagetechnologies. As a limited energy, series type energy storage power group used in the process ofmonomer overcharge and over discharge phenomenon is leading to storage power reduce of batterycapacity, safety performance and life. In order to reduce single battery over charge and dischargephenomena, various types of active equalization based on switching energy conversion become aresearch hotspot at home and abroad. Based on the analysis of existing balanced system workswhich on the basis of switching converter technology. For the power battery, we reduce the balanceof loss and improve balance speed with research objectives, established a single cell system modeland researched equalization circuitry, balanced system architecture and control strategy.This paper analyzes the internal structure and chemical reaction mechanism of Lithium ironphosphate battery firstly. Combined practical application and builded extended a complex model ofKalman filter. And use the Kalman filter correction algorithm in the model for the remaining batterycharge (SOC) estimating. Then explore several research methods of series battery equalizationtechniques, and proposed an improved battery equalization technology. Finally, the overall designused STM32F103C8T6 as the control core. Paper analyzes the system requirements, and on thisbasis, the system established a power battery management system from the perspective of softwareand hardware respectively. The system is composed by the modules of data sampling, algorithmimplementation, communication management, protection and control, balance control, informationstorage. Data sampling module is used to collect the battery voltage, current and temperature data toprovide data for the battery model estimation algorithm used. Algorithm execution moduleaccording to the data collected with established model to use Kalman filter correction algorithmcalculates the real remaining battery power. Communication management unit completed thecommunication with the host computer. Protection control module to ensure the battery charge anddischarge process safety. Balance control module is an important means to achieve a balanced. Thebattery used an improved balance technology of stagecoach capacitance method to improveefficiency and prolong battery life. Information storage module saved the data for estimationalgorithm. Microprocessor chips in ST’s STM32F103C8T6, the chip based on ARM Cortex-M3core, rich peripherals and high-speed computing power. Program using C language and modular design, and gives the corresponding flow chart.In this study we builded extended Kalman filter complex models, applied Kalman filtercorrection algorithm, used an improved balance technology of stagecoach capacitance method tobalance the battery pack. Experimental results show that the battery management system basiclyachieved the desired requirements, has played a very good effect in improving the consistency ofthe battery pack, meet the application requirements of the battery management system.