广西工学院学报
廣西工學院學報
엄서공학원학보
JOURNAL OF GUANGXI UNIVERSITY OF TECHNOLOGY
2012年
3期
49-55
,共7页
阀控铅酸电池%卡尔曼滤波器%荷电状态(SOC)%电池模型%不间断电源系统
閥控鉛痠電池%卡爾曼濾波器%荷電狀態(SOC)%電池模型%不間斷電源繫統
벌공연산전지%잡이만려파기%하전상태(SOC)%전지모형%불간단전원계통
VRLA battery%Kalman filter%SOC (State of charge)%battery model%UPS
蓄电池组广泛应用于UPS系统中,荷电状态（SOC）是表征蓄电池状态的重要参数之一.在线准确估算蓄电池SOC,有利于开展对蓄电池的状态诊断、维护,保证电池组安全供电.通过对阀控铅酸电池作了大量的充放电试验,根据试验数据应用最小二乘法进行辨识,获得蓄电池SOC的端电压-电阻的计算模型,运用卡尔曼滤波器算法,对SOC做最优估计.经实验验证和仿真,得到了蓄电池SOC最优估计结果,具有很好的精确度,表明该方法能够在工程上用来估算蓄电池的SOC.
蓄電池組廣汎應用于UPS繫統中,荷電狀態（SOC）是錶徵蓄電池狀態的重要參數之一.在線準確估算蓄電池SOC,有利于開展對蓄電池的狀態診斷、維護,保證電池組安全供電.通過對閥控鉛痠電池作瞭大量的充放電試驗,根據試驗數據應用最小二乘法進行辨識,穫得蓄電池SOC的耑電壓-電阻的計算模型,運用卡爾曼濾波器算法,對SOC做最優估計.經實驗驗證和倣真,得到瞭蓄電池SOC最優估計結果,具有很好的精確度,錶明該方法能夠在工程上用來估算蓄電池的SOC.
축전지조엄범응용우UPS계통중,하전상태（SOC）시표정축전지상태적중요삼수지일.재선준학고산축전지SOC,유리우개전대축전지적상태진단、유호,보증전지조안전공전.통과대벌공연산전지작료대량적충방전시험,근거시험수거응용최소이승법진행변식,획득축전지SOC적단전압-전조적계산모형,운용잡이만려파기산법,대SOC주최우고계.경실험험증화방진,득도료축전지SOC최우고계결과,구유흔호적정학도,표명해방법능구재공정상용래고산축전지적SOC.
Battery string is widely used in UPS system. The state of charge (SOC) is one of the important parameter of the batery status. Online estimation of battery SOC contributes to the battery condition diagnosis, maintenance, and ensures the battery string power supply safety. With VRLA batteries charge and discharge experiments, battery SOC voltage - resistance calculation model is proposed by the least squares method, and the optimal estimation of SOC is obtained by the Kalman filter algorithm. The battery SOC optimal estimation results of the experiment and simulation are very accurate, which shows that this method can be used to estimate the battery SOC in engineering field.
