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基于EKF的高低温模型修正SOC估算方法
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作者 唐淳淳 余粟 王盟 《智能计算机与应用》 2020年第2期180-183,共4页
为了获得更加准确的电池荷电状态(SOC)估算,针对高低温环境因素对锂电池性能的影响,提出了一种基于扩展卡尔曼滤波(EKF)的高低温模型修正SOC估算方法。选用二阶RC等效电路模型,结合开路电压法、安时积分法以及改进的扩展卡尔曼滤波法建... 为了获得更加准确的电池荷电状态(SOC)估算,针对高低温环境因素对锂电池性能的影响,提出了一种基于扩展卡尔曼滤波(EKF)的高低温模型修正SOC估算方法。选用二阶RC等效电路模型,结合开路电压法、安时积分法以及改进的扩展卡尔曼滤波法建立算法模型。根据欧姆电阻对温度反应的差异性,在观测方程中引入偏差控制量。最后,基于Matlab仿真平台进行试验。结果表明,改进后的算法有效提高了SOC的估算精度,将相对误差控制在3.12%以下,比未改进前的模型精度降低了1.44%。 展开更多
关键词 电池荷电状态 扩展卡尔曼滤波 高低温模型 偏差控制量 MATLAB仿真
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Warmer-Get-Wetter or Wet-Get-Wetter? A Criterion to Classify Oceanic Precipitation
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作者 QIAN Chengcheng CHEN Ge 《Journal of Ocean University of China》 SCIE CAS 2014年第4期552-560,共9页
In this study,the temporal and spatial variations of observed global oceanic precipitation during 1979-2010 are investigated.It is found that the global trend in precipitation during this period varies at a rate of 1.... In this study,the temporal and spatial variations of observed global oceanic precipitation during 1979-2010 are investigated.It is found that the global trend in precipitation during this period varies at a rate of 1.5%/K of surface warming while the rate is 6.6%/K during 2006-2010.The precipitation is highly correlated with Sea Surface Temperature (SST) in both the temporal and the spatial patterns since the strong 1997-98 E1 Ni(n)o event.Considering the distributions of precipitation and SST,seven oceanic regions are classified and presented using the observed Global Precipitation Climatology Project (GPCP) data and Extended Reconstructed Sea Surface Temperatures,version 3 (ERSST.v3) data.Further examining the mechanisms of the classified oceanic precipitation regions is conducted using the Tropical Rainfall Measuring Mission (TRMM) satellite,GFDL-ESM-2G model precipitation and SST data and Hadley Center sea ice and SST version 1 (HadISST1) data.More than 85% of global oceanic precipitations are controlled by either one or both of the warmer-get-wetter mechanism and wet-get-wetter mechanism.It is estimated that a 0.5 SST signal-to-noise ratio,representing the trend of SST time series to the standard deviation,is a criterion to distinguish the mechanism of a region.When the SST ratio is larger than 0.5,the precipitation of this region is controlled by the warmer-get-wetter mechanism.SST,rather than the humidity,is the pivotal factor.On the other hand,when the SST ratio is less than 0.5,the precipitation is controlled by the wet-get-wetter mechanism.The SST variability is a significant factor contributing to the precipitation variation. 展开更多
关键词 oceanic precipitation CRITERION global warming SST
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