Energy storage charging pile 14 3

Can ECM extend a thermal model for fast charging?

In the extensions for fast-charging strategies, the ECM is further physically-enhanced to either extend the thermal model to a core temperature state differing from the measured temperature or to the electrode level as, e.g., the anode potential is of particular interest for fast charging control, visualized in Fig. 7.

Do physical enhanced models improve the fast charging procedure?

As insights into the physical interrelations of the stress factors and the fast charging capability are limited with characteristic maps, physically enhanced models have also been incorporated to determine and optimize the fast charging procedure in the literature.

Can a lumped ECM optimize the fast charging strategy of a lithium-ion battery?

Zou et al. coupled a lumped ECM with a lumped thermal model to optimize the fast charging strategy of a 26650 cylindrical lithium-ion battery. Besides general operating voltage bounds, the cell’s core temperature has also been optimized to follow an optimized trajectory. Experimental investigations were not within the scope of the study.

Are model-supported approaches a good way to charge lithium-ion batteries?

Model-supported approaches promise high accuracy and consequently maximum exploited fast charging potential of the lithium-ion batteries due to their electro-chemical motivation and their possibility to adapt to a specific cell behavior.

Does cell condition affect fast charging capacity of lithium-ion batteries?

For both heuristic and model-supported approaches, varying cell condition and behavior over the battery life have to be considered, as it directly influences the fast charging capability of the lithium-ion batteries under study.

Are model-based fast charging strategies based on internal cell states harmful?

However, real-time model-based fast charging strategies based on internal cell states are also affected. On a short-term scale, model initialization and parameterization coupled with measurement bias, error, and distortions might lead to incorrect prediction of the cell behavior and therefore hazardous control of the charging current.