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cs.LG2025
Knowledge-Aware Modeling with Frequency Adaptive Learning for Battery Health Prognostics
Vijay Babu Pamshetti, Wei Zhang, Sumei Sun +3
Battery health prognostics are critical for ensuring safety, efficiency, and sustainability in modern energy systems. However, it has been challenging to achieve accurate and robus…
cs.LG2025
Optimal Signal Decomposition-based Multi-Stage Learning for Battery Health Estimation
Vijay Babu Pamshetti, Wei Zhang, King Jet Tseng +2
Battery health estimation is fundamental to ensure battery safety and reduce cost. However, achieving accurate estimation has been challenging due to the batteries' complex nonline…
cs.LG2024
Practical Battery Health Monitoring using Uncertainty-Aware Bayesian Neural Network
Yunyi Zhao, Zhang Wei, Qingyu Yan +3
Battery health monitoring and prediction are critically important in the era of electric mobility with a huge impact on safety, sustainability, and economic aspects. Existing resea…