基于DSP和EKF算法的动力电池SOC评估系统  

Power Battery SOC Estimation System Based on DSP and EKF Algorithm

作　　者：徐研科 范兴明[1,2] 张鑫 XU Yanke;FAN Xingming;ZHANG Xin(Department of Electrical Engineering & Automation,Guilin University of Electronic Technology,Guilin 541004;Guangxi Key Laboratory of Manufacturing System & Advanced Manufacturing Technology,Guilin 541004)

机构地区：[1]桂林电子科技大学电气工程及其自动化系,桂林541004 [2]广西制造系统与先进制造技术重点实验室,桂林541004

出　　处：《计算机与数字工程》2018年第3期496-500,共5页Computer & Digital Engineering

基　　金：国家自然科学基金项目(编号:51067002);广西制造系统与先进制造技术重点实验室主任课题(编号:16-380-12-006Z)资助

摘　　要：精确的电池SOC数据是电动汽车正常运行的关键,EKF算法通过递推运算能够从软件层面有效地消除SOC估算过程中的误差累积,但实际估算精度和适用性依赖于可靠的硬件系统。因此,设计了一种电池SOC在线评估系统,16位ADC模块确保了系统数据采集精度;主控DSP2407芯片可靠有效地实现了算法运行和系统状态显示功能。实验测试表明,A/D数据结果的平均误差较小,算法运算结果与理论仿真结果一致,硬件系统能够满足精度设计要求,且工作稳定。The accurate battery SOC data is the key to the normal operation of electric vehicles.EKF from software level by recursive algorithm can effectively eliminate the SOC estimation error in the process of accumulation.But the actual estimation precision and applicability depends on the reliable hardware system.A battery SOC on-line evaluation system was designed,and the system was designed to ensure the accuracy of data acquisition with16-bit ADC.The main control DSP2407chip reliably and effectively implements the algorithm operation and system status display.Experimental results show that the average error of A/D data is small,algorithm computation results are cconsistent with the theoretical simulation.The hardware system can satisfy the design requirements of accuracy,and run smoothly.

关 键 词：动力电池 EKF算法 SOC在线评估 DSP2407 

分 类 号：TM912[电气工程—电力电子与电力传动]