基于方程和神经网络算法的锂原电池贮存模型

Storage model of lithium carbon fluoride battery based on equation and neural network algorithm

基于阿伦尼乌斯方程和神经网络算法,以温度为加速应力,开展了锂氟化碳电池(Li/CF_(x))加速贮存寿命模型的建立和研究。在基于阿伦尼乌斯方程的加速寿命模型中,模型计算值与实测数据结果准确率达到99%以上。在基于神经网络算法的模型中,少量的数据量训练即实现准确率达到85%,为锂原电池的寿命预测提供了有效指导。

Based on Arrhenius equation and neural network algorithm,the accelerated storage life model of lithium carbon fluoride battery(Li/CF_(x))was established and studied with temperature as the accelerated stress.In the accelerated life model based on Arrhenius equation,the accuracy of the calculated value of the model and the measured data was more than 99%.In the model based on neural network algorithm,a small amount of data training could achieve an accuracy of 85%,which provided effective guidance for the life prediction of lithium primary battery.