Challenges and opportunities for battery health estimation: Bridging laboratory research and real-world applications

Deep learning to estimate lithium-ion battery state of health without additional degradation experiments

(2023) Jiahuan Lu et al.   Nature Communications

Data-driven direct diagnosis of Li-ion batteries connected to photovoltaics

(2023) Matthieu Dubarry et al.   Nature Communications

Analysis and key findings from real-world electric vehicle field data

(2023) Gabriele Pozzato et al.   Joule

Perspective—Combining Physics and Machine Learning to Predict Battery Lifetime

(2021) Muratahan Aykol et al.   JOURNAL OF THE ELECTROCHEMICAL SOCIETY

Hybrid physics-informed neural networks for lithium-ion battery modeling and prognosis

(2021) Renato G. Nascimento et al.   JOURNAL OF POWER SOURCES

Data-driven prediction of battery cycle life before capacity degradation

(2019) Kristen A. Severson et al.   Nature Energy