高技术通讯2017，Vol.27Issue(6)：559-566,8.DOI:10.3772/j.issn.1002-0470.2017.06.010
安时-卡尔曼交叉运行的电池荷电状态估算策略及其微控制器在环验证
A stratey for batteries' state-of-charge estimation using AH -Kalman cross operation and its processor-in-the-loop simulation
摘要
Abstract
To improve the performace of battery management system ( BMS) , the estimation of batteries ' state of charge ( SOC) was studied , and according to the requirement of estimation accuracy and system timeliness , a strategy for SOC estimation using the cross operation of the Ampere hour ( AH) integration algorithm and the Kalman algo-rithm, called the SOC estimation strategy using AH-Kalman cross operation for short , was proposed .The strategy uses the open-circuit voltage ( OCV) method to determine the initial SOC value , and uses the real-time AH integral method ( playing the main role ) and the intermittent operating Kalman method to correct the accumulated error of the AH integral method .The system simulation model was established to verify the correction effect of the Kalman filter algorithm on the accumulative error .The C-code of the control algorithm was generated and downloaded to the target controller , and the processor-in-the-loop simulation ( PILS ) was built , and the algorithm complexity was compared with the traditional Kalman filter .The results show that the proposed SOC estimation strategy can ensure the accuracy of SOC estimation and has the good real-time performance , which is convenient for practical applica-tion.关键词
电池荷电状态(SOC)估算算法/微控制器在环测试/C代码生成/卡尔曼滤波法Key words
SOC estimation algorithm/processor-in-the-loop simulation/C code generation/Kalman filter al-gorithm引用本文复制引用
罗勇,阚英哲,祝传美,赵小帅,祁朋伟,龙克俊..安时-卡尔曼交叉运行的电池荷电状态估算策略及其微控制器在环验证[J].高技术通讯,2017,27(6):559-566,8.基金项目
国家自然科学基金(51305475),重庆市基础科学与前沿技术研究专项(cstc2013jcyjA60004)和重庆市教委科学技术研究(KJ1500927)资助项目. （51305475）
