文章基本信息

标题：Comparative study of Thevenin model and GNL simplified model based on kalman filter in SOC estimation
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作者：Jianhao Fang ; Liankui Qiu ; Xincheng Li 等
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2017
卷号：6
期号：11
页码：1660-1663
出版社：Shri Pannalal Research Institute of Technolgy
摘要：To explore the importance of establishing batterymodels during the battery SOC estimation process. At present,the most commonly used Thevenin model and Gnl model, onthe basis of the two models, the first comparison of the voltagewaveform of the discharge two fitted with the actual staticvoltage waveform, the Gnl model in the process of fitting involtage precision is higher than that of Thevenin model, have astronger degree of simulation. With the extended Kalman filteralgorithm, further confirm the use of the two model in SOCprediction model, the equation of state parameteridentification by using the least square method, therelationship between calculation model and parameters ofSOC cell, and obtained the simulation results and the actualconditions and results. After many experiments, found in theprocess of using the extended battery SOC estimation Kalmanfilter algorithm, battery model selection has an importantinfluence on the experimental results, and the results show thatGnl model is better than the Thevenin model, the predictionerror is reduced to 4%.
关键词：Extended kalman filter; Thevenin model; Gnl;model; SOC