基于深度域特征独立对齐网络的锂离子电池无标签数据健康状态估计

Estimating the state of health (SOH) of batteries is critical for ensuring the battery’s safe operation and extending its service life. However, the accuracy and application of SOH estimation methods are limited by insufficient labeled training data and different usage scenarios. To address these issues, a label-free SOH estimation method for lithium-ion batteries is proposed, which is based on a ...