Design And Research Of Mine Lithium Battery Management System And Test Platform

Lithium-ion batteries have become the first choice for power equipment for coal mine equipment and backup batteries because of their high operating voltage,high power,high energy density,low self-discharge rate,and no memory effect.Battery Management System(BMS),as a management and protection unit for lithium battery packs for coal mine communications,designing a set of lithium battery power management systems that meet the specific applications of coal mines.It is of great significance for improving the safety,reliability,and intelligence of coal mine production.In this paper,four series 60 Ah large-capacity lithium iron phosphate batteries are used as backup power storage batteries.A set of mine lithium power management system and test platform to test whether the system meets the requirements of coal mine production are designed.The main contents include:(1)Analyzed the application background of mine lithium power supply,determined the required power parameters,selected the power battery and analyze its operating characteristics;(2)Designed the overall framework of the lithium power management system for mining,and designed BMS from the soft and hardware implement.The STM32L151 series ultra-low power single-chip microcomputer was used as the main control chip,and the BMS hardware circuit was designed with the ISL9208 low-power power management chip.The μC/OS II embedded operating system had been transplanted to the power management system.The battery monitoring was designed for various tasks and the task execution time is reasonably allocated to ensure that the BMS can operate efficiently while reducing unnecessary power wastage.(3)Lithium battery SOC estimation method was studied.By establishing a second-order RC equivalent circuit model,the least squares method with forgetting factor is used to online identify the model parameters.Finally,an extended Kalman filter algorithm is used to realize the on-line estimation of lithium battery SOC.;(4)The lithium battery RUL prediction algorithm was studied to extract the isobar drop time of the lithium battery health status as a health factor.The GPR model indirectly predicts the voltage drop of the lithium battery,and indirectly achieves the RUL of the lithium battery.It is predicted that because the isobaric drop time series facilitates extraction,the on-line prediction function of the BMS for the lithium battery RUL is satisfied;(5)After the BMS design is completed,performance testing will be required.This article used Labview programming to complete the development of the upper computer with a good human-machine interaction function for the mining lithium power management system test platform.A test platform was set up to conduct normal temperature performance tests,insulation resistance and powerfrequency withstand voltage tests,and BMS stability tests on the lithium power supply for mines.Finally,the reliability and stability of the lithium power supply for the mines designed in this paper were verified.