搜索资源列表
SOC
- SOC估算公式，很典型的，项目核心的内容，拿出来分享。-SOC estimation formula, it is typical, the core content of the project, to share out.
SOC 估算电池SOC的基本方法
- 用matlab/simulink 开发估算电池SOC的基本方法-battery State of Charge calculate method
EVbike.code
- 电动自行车用电池管理系统源程序，内部包含电压采集SOC估算等多个有用程序-Electric bicycle battery management system source code contains the voltage acquisition SOC estimates within a number of useful procedures
SOC
- 安时法准确估算SOC，程序自带两种修正SOC方法函数。-An accurate estimate of when the law SOC, SOC program comes with two modified method functions.
battery-SOC
- 安培积分法与开路电压法估算 电池SOC-Ampere integral method to measure battery SOC
Li-ion
- matlab 锂电池模型 用于soc估算。(Lithium battery model)
Battery pack models
- matlab电池模型，用于soc估算，电量估计(soc Lithium battery model)
SOC估算
- 基于卡尔曼滤波器的锂电池SOC预测，通过仿真并得到印证，证明了方法的可行性。(SOC prediction of lithium battery based on Calman filter)
估算soc
- 电池仿真估算，对模型进仿真，获得电池的剩余电压(Battery simulation estimates, simulation of the model, the battery residual voltage)
Li_ion_battery
- 电动汽车用磷酸铁锂电池建模与SOC估算研究(Modeling and SOC estimation of LiFePO4 batteries for electric vehicles)
91332005SOC
- 基于MATLABsimulink对锂电池的SOC估算的一个简单模型(A simple model for SOC estimation of lithium batteries)
卡尔曼滤波估算电池的SOC模型
- 运用卡尔曼滤波（EFK）对蓄电池的SOC进行估算的simulink仿真模型，结果可以保证
EKF10积分
- 参数辨识以及扩展卡尔曼滤波算法的SOC估算(Battery Model Parameter Estimation Using a Layered Technique)
SOC_SMO_Battety
- 电池SOC估算模型,是MATLAB中的simulink仿真模型，可以估算电池SOC(Battery SOC Estimation Model)
EKF-on-SOC-Estimation-master
- EKF-SOC估算，用于电池的soc估算(EKF-SOC estimation for battery SOC estimation)
SOC
- 电池组的SOC估算方法程序，采用安时积分法(The procedure of SOC estimation for battery packs is based on the time integration method.)
PNVG
- 本案例是锂电池二阶LC模型，含有SOC估算；用于学习的一个好例子。(Second-order LC model for batteries, SOC estimation)
【赠送您】UKF 电池SOC估计
- 采用无极卡尔曼滤波来估算电池SOC，在Simulink中搭建ukf的模型(ukf unscented Kalman filter, soc estimation, matlab/simulink)
基于戴维南模型_扩展卡尔曼_SOC估算
- 基于戴维南模型的用来对电池SOC进行估算(SOC estimation of Thevenin model)
基于遗传算法优化EKF算法的SOC估算
- 采用遗传算法对 EKF 中的系统噪声矩阵和测量矩阵的协方差进行在线优化，以实现在模型误差最小时对 SOC 进行在线估计(Genetic algorithm is used to optimize the covariance of system noise matrix and measurement matrix in EKF on-line, so as to realize the on-line estimation of SOC at the minimum model error)