Artificial Neural Networks, Gradient Boosting and Support Vector Machines for electric vehicle battery state estimation: A review
A Manoharan, KM Begam, VR Aparow… - Journal of Energy …, 2022 - Elsevier
Abstract In recent years, Artificial Intelligence has been widely used for determining the
current state of Li-ion batteries used for Electric Vehicle applications. It is crucial to have an …
current state of Li-ion batteries used for Electric Vehicle applications. It is crucial to have an …
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 …
Battery lifetime prognostics
Lithium-ion batteries have been widely used in many important applications. However, there
are still many challenges facing lithium-ion batteries, one of them being degradation. Battery …
are still many challenges facing lithium-ion batteries, one of them being degradation. Battery …
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 …
Early prediction of battery lifetime via a machine learning based framework
Accurately predicting the lifetime of lithium-ion batteries in early cycles is crucial for ensuring
the safety and reliability, and accelerating the battery development cycle. However, most of …
the safety and reliability, and accelerating the battery development cycle. However, most of …
Combined CNN-LSTM network for state-of-charge estimation of lithium-ion batteries
State-of-charge (SOC), which indicates the remaining capacity at the current cycle, is the key
to the driving range prediction of electric vehicles and optimal charge control of …
to the driving range prediction of electric vehicles and optimal charge control of …
State of the art of lithium-ion battery SOC estimation for electrical vehicles
R Zhang, B ** battery storage systems for clean energy applications is fundamental for
addressing carbon emissions problems. Consequently, battery remaining useful life …
addressing carbon emissions problems. Consequently, battery remaining useful life …
Lifespan prediction of lithium-ion batteries based on various extracted features and gradient boosting regression tree model
Accurate battery lifespan prediction is critical for the quality evaluation and long-term
planning of battery management systems. As battery degradation process is typically …
planning of battery management systems. As battery degradation process is typically …
A study of the relationship between coulombic efficiency and capacity degradation of commercial lithium-ion batteries
High coulombic efficiency (CE) usually indicates a long battery cycle life. However, the
relationship between long-term CE evolution and battery degradation is not fully understood …
relationship between long-term CE evolution and battery degradation is not fully understood …