Lithium battery health state and residual life prediction method and system

• Main Authors: CAI NIAN, FENG WEIGUO, ZHOU YINGHONG, QUE XIAOPING
• Format: Patent
• Language: Chinese; English
• Published: 29.03.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; MEASURING; MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES; PHYSICS; TESTING

The invention relates to the technical field of new energy battery energy storage, and discloses a lithium battery health state and residual life prediction method and system, and the method comprises the steps: obtaining the operation information of a lithium battery; the operation information is converted into a Hilbert graph; converting the operation information into a GAF graph; constructing a joint prediction model, and inputting the Hilbert graph and the GAF graph into the joint prediction model to obtain joint features; and inputting the joint features into a full connection layer to obtain a lithium battery health state and residual life prediction value, and completing prediction. The lithium battery health state and residual life prediction precision and prediction efficiency can be improved. 本发明涉及新能源电池储能技术领域，公开了一种锂电池健康状态和剩余寿命预测方法及系统，该方法包括：获取锂电池的运行信息；将所述运行信息转换为Hilbert图；将所述运行信息转换为GAF图；构建联合预测模型，将所述Hilbert图和所述GAF图输入所述联合预测模型，获得联合特征；将所述联合特征输入全连接层，获得锂电池健康状态和剩余寿命预测值，完成预测。本发明能够提高锂电池健康状态和剩余寿命预测精度和预测效率。