搜索资源列表
SoC_and_SoH_Development_for_EV
- 采用matlab建立电池模型,实现电池管理系统SOC和SOH估算功能-Using matlab to create a battery model, battery management system, SOC and SOH estimation function
SOH-Folder
- 一个MATLAB/Simulink模型,关于电动汽车动力电池健康状态(State of Health; 建模基于SOC估计; 模型比较简单,原理清楚,适合对电动汽车动力电池SOH的估计有兴趣的初学者参考学习,学习前请阅读2到3篇动力电池SOH估计方面论文,这样对理解模型更有帮助。-A MATLAB/Simulink model, on the electric vehicle power battery health status (State of Health Modeling
soh
- 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)
battery
- 电池SOC、SOH等仿真计算(Simulation calculation of battery SOC, SOH, etc)
CapacityModel_2
- 通过电池容量的估计,来计算电池的健康状况,在Simulink中搭建模型(state of health estimation,simulink)
BP预测
- 应用BP神经网络预测锂电池健康状态,数据集为NASA锂电池老化实验数据(Prediction of health status of lithium battery by BP neural network)
BatteryManagementSystem
- 电池建模、SOC估计、SOH估计【EKF,UKF】(battery modeling; SOC estimation; SOH estimation)