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Porous electrode modeling and its applications to Li‐ion batteries
Battery modeling has become increasingly important with the intensive development of Li‐
ion batteries (LIBs). The porous electrode model, relating battery performances to the …
ion batteries (LIBs). The porous electrode model, relating battery performances to the …
Battery management strategies: An essential review for battery state of health monitoring techniques
To prevent probable battery failures and ensure safety, battery state of health evaluation is a
critical step. This study lays out a coherent literature review on battery health estimation …
critical step. This study lays out a coherent literature review on battery health estimation …
Electrochemical modeling and parameterization towards control-oriented management of lithium-ion batteries
Battery management systems based on electrochemical models could achieve more
accurate state estimations and efficient battery controls with access to cell unmeasurable …
accurate state estimations and efficient battery controls with access to cell unmeasurable …
[HTML][HTML] One-shot battery degradation trajectory prediction with deep learning
The degradation of batteries is complex and dependent on several internal mechanisms.
Variations arising from manufacturing uncertainties and real-world operating conditions …
Variations arising from manufacturing uncertainties and real-world operating conditions …
Towards a smarter battery management system: A critical review on battery state of health monitoring methods
To ensure the driving safety and avoid potential failures for electric vehicles, evaluating the
health state of the battery properly is of significant importance. This study aims to serve as a …
health state of the battery properly is of significant importance. This study aims to serve as a …
Co-estimation of lithium-ion battery state of charge and state of temperature based on a hybrid electrochemical-thermal-neural-network model
Battery modeling and state estimation are critical to the battery safety and vehicle driving
range. Currently, electrochemical mechanism based models require huge computation effort …
range. Currently, electrochemical mechanism based models require huge computation effort …
[HTML][HTML] Data-driven systematic parameter identification of an electrochemical model for lithium-ion batteries with artificial intelligence
Electrochemical models are more and more widely applied in battery diagnostics,
prognostics and fast charging control, considering their high fidelity, high extrapolability and …
prognostics and fast charging control, considering their high fidelity, high extrapolability and …
[HTML][HTML] Design of experiments applied to lithium-ion batteries: A literature review
The statistical design of experiments methodology (DoE) has been a valuable tool since its
conception for the understanding of the relationship between factors and responses …
conception for the understanding of the relationship between factors and responses …
Energy management strategies for fuel cell vehicles: A comprehensive review of the latest progress in modeling, strategies, and future prospects
Fuel cell vehicles (FCVs) are considered a promising solution for reducing emissions
caused by the transportation sector. An energy management strategy (EMS) is undeniably …
caused by the transportation sector. An energy management strategy (EMS) is undeniably …
A comprehensive overview and comparison of parameter benchmark methods for lithium-ion battery application
To deal with the indeterminacy of the renewable energy in power system, electrochemical
energy storage system is a promising solution for improving the flexibility of grid. As lithium …
energy storage system is a promising solution for improving the flexibility of grid. As lithium …