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SOC
- 扩展卡尔曼滤波估算电池的SoC,电池采用戴维宁模型，并与安时积分法进行了比较，误差不超过5 ，结果可靠-The extended Calman filter to estimate the battery SoC and battery using Thevenin model, and compared with the current time integral method, the error is less than 5 , the result is reliable
EKF-soc
- 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
EKF3
- 该Simulink仿真模型基于锂电池的二阶RC模型，采用扩展卡尔曼滤波算法实现锂电池的SOC估计。(The Simulink simulation model is based on the second-order RC model of lithium batteries, and the extended Kalman filter algorithm is used to estimate the SOC of lithium batteries.)
23725EKF
- 卡尔曼滤波估算SOC，可以实现仿真，可以自己修改(Estimation of SOC by Kalman filter)
基于卡尔曼滤波的电池荷电状态估计
- 电池荷电状态检测算法的matlab仿真。(Matlab simulation of battery charging state detection algorithm.)
75448149SOC
- 用卡尔曼滤波估计soc；精度很高，包含了噪声干扰(Estimation of SOC by Kalman filter; high accuracy, including noise interference)
卡尔曼滤波估测电池SOC
- 用于动力电池SOC估计，在simulink搭建模型，采用一阶RC环节(matlab/Simulink,SOC estimation,extended Kalman filter)