estimated

The 3G IP Multimedia Subsystem (IMS)

When 3GPP started standardizing the IMS a few years ago, most analysts expected the number of IMS deploymentsto grow dramatically as soon the initial IMS specifications were ready (3GPP Release 5 was functionallyfrozenin the first half of 2002and completedshortly after that). While those predictions have proven to be too aggressive owing to a number of upheavals hitting the ICT (Information and Communications Technologies) sector, we are now seeing more and more commercial IMS-based service offerings in the market. At the time of writing (May 2008), there are over 30 commercial IMS networks running live traffic, addingup to over10million IMS users aroundthe world; the IMS is beingdeployedglobally. In addition, there are plenty of ongoing market activities; it is estimated that over 130 IMS contracts have been awarded to all IMS manufacturers. The number of IMS users will grow substantially as these awarded contracts are launched commercially. At the same time, the number of IMS users in presently deployed networks is steadily increasing as new services are introduced and operators running these networks migrate their non-IMS users to their IMS networks.

标签： Multimedia Subsystem The IMS 3G IP

上传时间： 2020-06-01

上传用户：shancjb
基于无迹卡尔曼滤波算法的锂电池SOC估计

应用无迹卡尔曼滤波算法（UKF）进行锂电池的SOC估计,采用Thevenin二阶RC等效电路模型,对HPPC电池脉冲充放电实验数据进行Matlab处理,得到较为准确的模型.通过在Matlab中编写算法程序,对不同工况的估计值与实际值进行误差估算及对比分析,通过此算法进行SOC估计,得到该算法可有效降低系统误差并纠正SOC的初值偏差.The non trace Calman filter （UKF） is applied to the SOC estimation of lithium battery. The Thevenin two order RC equivalent circuit model is used to process the HPPC battery pulse charge discharge experimental data by Matlab processing, and a more accurate model is obtained. By writing algorithm program in Matlab, the error estimation and comparison analysis of the estimated value and actual value of different states are carried out, and the SOC estimation is carried out by this algorithm. The algorithm can effectively reduce the system error and correct the initial value deviation of the SOC.

标签： 卡尔曼滤波

上传时间： 2022-05-03

上传用户：默默