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Battery-Kalman-master

于 2020-12-10 发布

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下载积分: 1 下载次数: 10

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说明：简单的电池建模(戴维南模型)以及卡尔曼滤波器，用于估算模拟锂电池的充电状态（SoC）估计。可模拟CC / CV充电和脉冲放电。然后显示图形，显示仿真结果。可以在Python / main.py中使用容量和Thevenin模型值。充电/放电协议也可以更改，值可在Python / protocol.py中找到。(Simple battery modeling (the Thevenin model) and the Kalman filter are used to estimate the state of charge (SoC) of an analog lithium battery. Can simulate CC / CV charging and pulse discharge. Then display the graph and display the simulation results. The capacity and Thevenin model values can be used in Python / main.py. The charge/discharge protocol can also be changed and the values can be found in Python / protocol.py.)

文件列表：

Battery-Kalman-master, 0 , 2019-01-03
Battery-Kalman-master\Python, 0 , 2019-01-03
Battery-Kalman-master\Python\battery.py, 2463 , 2019-01-03
Battery-Kalman-master\Python\kalman.py, 913 , 2019-01-03
Battery-Kalman-master\Python\main.py, 3494 , 2019-01-03
Battery-Kalman-master\Python\protocol.py, 1652 , 2019-01-03
Battery-Kalman-master\Python\utils.py, 893 , 2019-01-03
Battery-Kalman-master\Readme.md, 740 , 2019-01-03

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