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4下载:
kalman滤波 用于电池SOC上的算法-kalman filter algorithm for battery SOC on
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9下载:
卡尔曼滤波算法的仿真、最小二乘参数估计、整个电池管理系统的simulink仿真-Kalman filter algorithm simulation, least-squares parameter estimation, the whole of the battery management system simulink simulation
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2下载:
利用卡尔曼滤波器计算电池组SOC,详细介绍了卡尔曼滤波器以及电池模型-Use of Kalman filter calculation battery SOC, the detailed introduction of the Kalman filter and battery model
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5下载:
通过Dsp计算电池的SOC,采用卡尔曼滤波算法,并在液晶上面显示相关信息-Dsp calculated through the battery SOC, the use of Kalman filter algorithm, and the above liquid crystal display-related information
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3下载:
基于Kalman滤波器设计思想,仿真实现电池充放电模型建立,实现二阶RC电路充放电模型;-The battery charge and discharge model to achieve second-order RC circuit to charge and discharge model-based Kalman filter design thinking, simulation
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Dual kalman filter for battery charge estimation
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文件是一个卡尔曼滤波估测电池SOC的程序,有matlab的simulink仿真与卡尔曼滤波算法两个文件。-File is a Kalman filter battery SOC estimation procedures have matlab simulink simulation and Kalman filter algorithm two files.
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2下载:
基于扩张卡尔曼滤波的磷酸铁锂蓄电池SOC检测,给出了电池模型和算法实现过程。-The extended Kalman filter (EKF) method for SOC estimation has some problems such as the lack of an accurate model, and model errors due to the variation in the parameters of the model due to the nonlinear behav
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针对锂离子电池,建立电池模型,对于电池剩余电量进行估算,采用Kalman Filter,效果还可以(The lithium ion battery, a battery model, to estimate the remaining battery power, the current time integral method, the effect can also be Kalman Filter)
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extended kalman filter for SOC estimation
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4下载:
利用卡尔曼滤波估计锂离子电池的SOC状态,可以达到良好的效果,误差很小。(Using Kalman filter to estimate SOC state of lithium-ion battery and it can achieve good results with little error.)
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3下载:
C语言实现用扩展卡尔曼滤波算法对电池健康状态(SOH)进行估算(An extended Kalman filter algorithm is used to estimate the health state of the battery (SOH) in the C language)
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采用卡尔曼滤波法进行电池参数辨识,结果准确,辨识精度高(Identification of battery parameters by using Kalman filter method)
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5下载:
此编程实现基于扩展卡尔曼滤波(EKF)方法的动力电池SOC估计,并输出波形(This programming implements the battery SOC estimation based on the Extended Kalman Filter (EKF) method and outputs the waveform)
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容积卡尔曼滤波测量方程基于统计数据,利用蒙特卡罗方法抽取私家电动汽车一次出行里程数,根据电池充电特性及车辆行驶习惯获得电动汽车充电的起始荷电状态、充电功率和起始充电时间,建立了一个较为精确的预测无线充电私家电动汽车充电负荷的数学模型,(The volume Calman filter measurement equation is based on the statistical data, using Monte Carlo method to extract the first trip m
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4下载:
基于扩展卡尔曼滤波的电池soc估计simulink模型,将模型计算得到的电池soc与扩展卡尔曼滤波得到的电池soc进行比较。(Based on the Simulink model of battery SOC estimation with extended Kalman filter, the battery SOC calculated by the model is compared with the battery SOC obtained by extended Kalman fil
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0下载:
在simulink中采用扩展卡尔曼滤波估算电池soc(Estimating SOC of battery with extended Kalman filter in Simulink)
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using kalman filter estimate lithiumion battery SOC
simulink model
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