Battery SOC estimation device based on immune algorithm optimization BP neural network

The invention discloses a battery SOC estimation device based on an immune algorithm optimization BP neural network. The device comprises a sensor group and a microprocessor loaded with a BP neural network model. The sensor group collects the data of the battery, including charging and discharging current, terminal voltage, ambient temperature, the number of times of charging and discharging, anda previous measurement value of the charged state of the battery. The microprocessor estimates the value of the charged state of the battery at the current time based on the collected data. The battery SOC estimation device based on the immune algorithm optimization BP neural network can establish an accurate mathematical model for the power battery to accurately estimate the charged state of thepower battery. 本发明公开基于免疫算法优化BP神经网络的电池SOC估计装置，包括：传感器组和装载BP神经网络模型的微处理器；其中，所述传感器组采集电池的以下数据：充放电电流、端电压、环境温度、充放电次数和前次的电池荷电状态测量值，所述微处理器根据所采集的数据估计当前时刻电池荷电状态的值。该基于免疫算法优化BP神经网络的电池SOC估计装置可以对动力电池建立精确数学模型，实现对动力电池核电状态的精确估计。