A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems
With the rapid development of new energy electric vehicles and smart grids, the demand for
batteries is increasing. The battery management system (BMS) plays a crucial role in the …
batteries is increasing. The battery management system (BMS) plays a crucial role in the …
Machine learning in state of health and remaining useful life estimation: Theoretical and technological development in battery degradation modelling
Designing and deployment of state-of-the-art electric vehicles (EVs) in terms of low cost and
high driving range with appropriate reliability and security are identified as the key towards …
high driving range with appropriate reliability and security are identified as the key towards …
Key challenges for a large-scale development of battery electric vehicles: A comprehensive review
Nowadays, several countries have adopted an energy transition policy to achieve carbon
targets and decarbonize transport while improving their electricity mixes. Electric vehicles …
targets and decarbonize transport while improving their electricity mixes. Electric vehicles …
Advanced battery management strategies for a sustainable energy future: Multilayer design concepts and research trends
Lithium-ion batteries are promising energy storage devices for electric vehicles and
renewable energy systems. However, due to complex electrochemical processes, potential …
renewable energy systems. However, due to complex electrochemical processes, potential …
A review on state of health estimations and remaining useful life prognostics of lithium-ion batteries
Lithium-ion batteries have been generally used in industrial applications. In order to ensure
the safety of the power system and reduce the operation cost, it is particularly important to …
the safety of the power system and reduce the operation cost, it is particularly important to …
Data-driven prediction of battery cycle life before capacity degradation
Accurately predicting the lifetime of complex, nonlinear systems such as lithium-ion batteries
is critical for accelerating technology development. However, diverse aging mechanisms …
is critical for accelerating technology development. However, diverse aging mechanisms …
Real-time personalized health status prediction of lithium-ion batteries using deep transfer learning
Real-time and personalized lithium-ion battery health management is conducive to safety
improvement for end-users. However, personalized prognostic of the battery health status is …
improvement for end-users. However, personalized prognostic of the battery health status is …
Remaining useful life prediction of lithium-ion battery with adaptive noise estimation and capacity regeneration detection
As an indispensable energy device, 18650 lithium-ion battery has widespread applications
in electric vehicles. Remaining useful life (RUL) prediction of lithium-ion battery is critical for …
in electric vehicles. Remaining useful life (RUL) prediction of lithium-ion battery is critical for …
Sorting, regrou**, and echelon utilization of the large-scale retired lithium batteries: A critical review
With the rapid development of electric vehicles, the safe and environmentally friendly
disposal of retired lithium batteries (LIBs) is becoming a serious issue. Echelon utilization of …
disposal of retired lithium batteries (LIBs) is becoming a serious issue. Echelon utilization of …