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The 1.4a Threshold: Identifying and Mitigating Critical Degradation Points in Lithium-Ion Batteries for Renewable Energy Storage
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High-Energy Batteries: Beyond Lithium-Ion and Their Long Road to Commercialisation
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Optimizing the operation of energy storage using a non-linear lithium-ion battery degradation model
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Fast charging design for Lithium-ion batteries via Bayesian optimization
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Optimizing multi-objective design, planning, and operation for sustainable energy sharing districts considering electrochemical battery longevity
inferredcites →https://doi.org/10.1021/acs.jpcc.3c00033openalex-snapshot
Application of Electrochemical Impedance Spectroscopy to Degradation and Aging Research of Lithium-Ion Batteries
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Electrode Degradation in Lithium-Ion Batteries
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The significance of detecting imperceptible physical/chemical changes/reactions in lithium-ion batteries: a perspective
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A Feedback Interpretation of the Doyle–Fuller–Newman Lithium-Ion Battery Model
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Machine Learning and Physics: A Survey of Integrated Models
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Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls
inferredcites →https://doi.org/10.1149/1945-7111/abae37openalex-snapshot
Degradation of Commercial Lithium-Ion Cells as a Function of Chemistry and Cycling Conditions
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ENSURING THE FUTURE OF RENEWABLE ENERGY: A CRITICAL REVIEW OF RELIABILITY ENGINEERING APPLICATIONS IN RENEWABLE ENERGY SYSTEMS
inferredcites →https://doi.org/10.3390/batteries10070220openalex-snapshot
Exploring Lithium-Ion Battery Degradation: A Concise Review of Critical Factors, Impacts, Data-Driven Degradation Estimation Techniques, and Sustainable Directions for Energy Storage Systems
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A Comprehensive Review on Lithium-Ion Battery Lifetime Prediction and Aging Mechanism Analysis
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Prediction of Battery Cycle Life Using Early-Cycle Data, Machine Learning and Data Management
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Data-Driven Battery Aging Mechanism Analysis and Degradation Pathway Prediction
inferredcites →https://doi.org/10.3390/batteries9030152openalex-snapshot
Lithium-Ion Battery Management System for Electric Vehicles: Constraints, Challenges, and Recommendations
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A Review of the Impact of Battery Degradation on Energy Management Systems with a Special Emphasis on Electric Vehicles
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A Review of Bidirectional Charging Grid Support Applications and Battery Degradation Considerations
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Deep-Fuzzy Logic Control for Optimal Energy Management: A Predictive and Adaptive Framework for Grid-Connected Microgrids
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