摘要
蓄电池监测系统的主要功能是完成电压、电流、内阻等参数的测量和对荷电状态(SOC)进行估计,而传统的监测系统存在体积庞大问题。基于此,本文基于Altera Cyclone IV EP4CE30C7N现场可编程门阵列(FPGA)核心开发板,配合外围的蓄电池内阻、电压、电流采集电路,设计并实现了小型化的蓄电池监测系统,并采用卡尔曼滤波算法估计蓄电池SOC。通过与标准数据对比,验证该设计系统对蓄电池SOC估计的准确性。
The main function of battery monitoring system is to complete the measurement of voltage,current,internal resistance and estimate the state of charge(SOC). However,the traditional monitoring system has the problem of large size. Based on this,Altera Cyclone IV EP4 CE30 C7 N is used as the core development board of Field Programmable Gate Array(FPGA). With the peripheral battery internal resistance,voltage and current acquisition circuit,A miniaturized battery monitoring system is designed and implemented,and Kalman filter algorithm are used to estimate battery’s SOC. By compared with the standard data,we check the accuracy of the SOC estimation of this design system.
作者
冯长江
高明宇
司伟
FENG Chang⁃jiang;GAO Ming⁃yu;SI Wei(Army Engineering University of PLA,Shijiazhuang 050000,China)
出处
《电子设计工程》
2020年第1期65-69,共5页
Electronic Design Engineering
基金
国家自然科学基金资助项目(51307184)
