30-05-2023 дата публикации
Номер: CN116184211A
Принадлежит:
The invention provides a retired battery module capacity prediction method and device, electronic equipment and a storage medium, and the method comprises the steps: constructing an initial neural network model, the method comprises the following steps: taking short-time charging and discharging time, short-time charging and discharging capacity, Frechet distance, module voltage and internal resistance, a module and monomer voltage difference value and an internal resistance difference value as input values of an initial neural network model, taking module residual capacity as an output value, and carrying out iterative training to obtain a completely trained neural network model; and predicting the capacity of the retired power battery module based on the completely trained neural network model. According to the method, the voltage interval section of short-time charging and discharging is obtained through the IC curve, the internal structure characteristics of the module can be better ...
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