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Health prognostics for lithium-ion batteries: mechanisms, methods, and prospects
Lithium-ion battery aging mechanism analysis and health prognostics are of great
significance for a smart battery management system to ensure safe and optimal use of the …
significance for a smart battery management system to ensure safe and optimal use of the …
Artificial Neural Networks, Gradient Boosting and Support Vector Machines for electric vehicle battery state estimation: A review
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 …
Data-driven lithium-ion batteries capacity estimation based on deep transfer learning using partial segment of charging/discharging data
Accurate estimation of lithium-ion battery capacity is crucial for ensuring its safety and
reliability. While data-driven modelling is a common approach for capacity estimation …
reliability. While data-driven modelling is a common approach for capacity estimation …
A comparative study of different features extracted from electrochemical impedance spectroscopy in state of health estimation for lithium-ion batteries
Battery state of health (SOH) estimation is a critical but challenging demand in advanced
battery management technologies. As an essential parameter, battery impedance contains …
battery management technologies. As an essential parameter, battery impedance contains …
An improved CNN-LSTM model-based state-of-health estimation approach for lithium-ion batteries
Abstract Accurate SOH (State of Health) estimation is one of the key technologies to ensure
the safe operation of lithium-ion batteries. When predicting SOH, efficient data feature …
the safe operation of lithium-ion batteries. When predicting SOH, efficient data feature …
A hybrid neural network model with attention mechanism for state of health estimation of lithium-ion batteries
Reliable state of health (SOH) estimation is significant for safe operation of lithium-ion
batteries (LIBs). However, due to the strong nonlinearity of battery degradation and complex …
batteries (LIBs). However, due to the strong nonlinearity of battery degradation and complex …
Deep feature extraction in lifetime prognostics of lithium-ion batteries: Advances, challenges and perspectives
The wide application of lithium-ion batteries makes their lifecycle prognosis a challenging
and hot topic in the battery management research field. Feature extraction is a key step for …
and hot topic in the battery management research field. Feature extraction is a key step for …
State of health estimation for lithium-ion batteries based on hybrid attention and deep learning
Accurate state of health estimation of lithium-ion batteries is imperative for reliable and safe
operations of electric vehicles. This study presents a hybrid attention and deep learning …
operations of electric vehicles. This study presents a hybrid attention and deep learning …
Aging mechanisms, prognostics and management for lithium-ion batteries: Recent advances
In the rapidly evolving landscape of energy storage, lithium-ion batteries stand at the
forefront, powering a vast array of devices from mobile phones to electric vehicles and …
forefront, powering a vast array of devices from mobile phones to electric vehicles and …
Applications of artificial neural network based battery management systems: A literature review
Lithium-ion batteries have gained significant prominence in various industries due to their
high energy density compared to other battery technologies. This has led to their …
high energy density compared to other battery technologies. This has led to their …