The embodiment of the invention provides a storage battery service life prediction method and system and electronic equipment, and relates to the technical field of lead-acid storage batteries, and the method can prolong the service life of a storage battery. The storage battery comprises a plurality of battery units. The method comprises the following steps: receiving battery pack data and user behavior data; battery pack data including charging data and discharging data of each of the plurality of battery cells; the user behavior data comprises behavior data of charging a storage battery by a user; according to the battery pack data and the user behavior data, obtaining features of multiple dimensions corresponding to each battery unit in the multiple battery units; determining at least one feature influencing the service life of the battery from the features of the multiple dimensions; dynamically adjusting the weight corresponding to the at least one feature; according to the dynamically adjusted weight and the features of the multiple dimensions, performing weighted fusion calculation to obtain a weighted feature vector; and inputting the weighted feature vectors into a trained prediction model to obtain a life prediction result corresponding to each battery unit.
本申请实施例提供一种蓄电池寿命预测方法、系统和电子设备,涉及铅酸蓄电池技术领域,该方法可以提高蓄电池的寿命。蓄电池包括多个电池单元,该方法包括:接收电池组数据和用户行为数据;电池组数据,包括多个电池单元中的每一个电池单元的充电数据和放电数据;用户行为数据,包括用户对蓄电池进行充电的行为数据;根据电池组数据和用户行为数据,得到多个电池单元中的每一个电池单元对应的多个维度的特征;从多个维度的特征中确定出影响电池寿命的至少一个特征;动态调整至少一个特征对应的权重;根据动态调整后的权重和多个维度的特征,进行加权融合计算,得到加权特征向量;将加权特征向量输入至经过训练的预测模型,获得每一个电池单元对应的寿命预测结果。
Storage battery life prediction method and system and electronic equipment
蓄电池寿命预测方法、系统和电子设备
27.05.2025
Patent
Elektronische Ressource
Chinesisch
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