Research And Implementation Of Integrated Battery Management System

With the advancement of technology and people’s living standards,cars have been popular and become a necessity in people’s daily lives.The widespread use of cars has brought convenience.However,it brought a series of problems at the same time,such as tne shortage of fossil energy and tne pollution of environment.Under the actual demands and the country’s support,pure electric vehicles have developed rapidly.And then the battery management system(BMS)has also received widespread attention as the core of the battery.In order to enhance the integration and improve real-time performance,a battery management system based on multi-core management architecture was proposed.With the architecture,the software and hardware design of the system was completed and the SOC algorithm was studied.Then the experiments were carried out with the developed system.And the system achieved the intended purpose.The main work were as follows.1.The system architecture of multi-core management was proposed,and the software and hardware design of multi-core management system were carried out.The system functions were distributed to multiple cores.One core specialized in the cell management,because it had a greater impact on real-time performance.Another core was used for system sleep monitoring.The last but most powerful core was used to handle the rest of the functions,including control algorithms.The hardware design included a cell management module,a temperature detection module,a power supply module,a communication module,etc.And it completed chip selection,peripheral circuit design and low power design.The system software was designed for functions such as multi-core management program,insulation resistance / total voltage detection,charge management,balance management,fault management and sleep / wake control for low-power.2.SOC estimation was an important part of battery management.And then a SOC correction algorithm under full state was proposed,through the research of SOC estimation algorithm.The correction algorithm was performed with the ampere-hour integral.At the same time,the dynamic correction was performed by the DSME method;the static correction was performed by the open circuit voltage(OCV)method.The simulation results showed that the algorithm could correct the SOC deviation in the initial process and the discharge process.And it avoided the problem that can’t dynamically correct the SOC deviation in "OCV+Angstrom Integration".3.Experiments were carried out with the developed system.Through the multi-core management experiment and low-power experiment,the real-time performance of the multi-core management architecture and the feasibility of the low-power solution were verified.The main function verification was carried out as well,including current,cell voltage,total voltage,and insulation detection,the results showed that it met the requirements of detection accuracy.The charging experiments were also carried out and it verified the effect.