A comprehensive review on the state of charge estimation for lithium‐ion battery based on neural network
Implementing carbon neutrality and emission peak policies requires a high‐level electric
vehicle field. Lithium‐ion batteries have been considered an essential component of electric …
vehicle field. Lithium‐ion batteries have been considered an essential component of electric …
[HTML][HTML] A review on online state of charge and state of health estimation for lithium-ion batteries in electric vehicles
With electric vehicles (EVs) being widely accepted as a clean technology to solve carbon
emissions in modern transportation, lithium-ion batteries (LIBs) have emerged as the …
emissions in modern transportation, lithium-ion batteries (LIBs) have emerged as the …
Prognostics and health management of Lithium-ion battery using deep learning methods: A review
Y Zhang, YF Li - Renewable and sustainable energy reviews, 2022 - Elsevier
Prognostics and health management (PHM) is developed to guarantee the safety and
reliability of Lithium-ion (Li-ion) battery during operations. Due to the advantages of deep …
reliability of Lithium-ion (Li-ion) battery during operations. Due to the advantages of deep …
State of charge estimation for lithium-ion batteries using model-based and data-driven methods: A review
Lithium-ion battery is an appropriate choice for electric vehicle (EV) due to its promising
features of high voltage, high energy density, low self-discharge and long lifecycles. The …
features of high voltage, high energy density, low self-discharge and long lifecycles. The …
A combined state-of-charge estimation method for lithium-ion battery using an improved BGRU network and UKF
Lithium-ion batteries have become the fastest-growing energy storage equipment available
for extrinsic and intrinsic reasons. State of Charge (SOC) is one of the lithium-ion batteries' …
for extrinsic and intrinsic reasons. State of Charge (SOC) is one of the lithium-ion batteries' …
Data-driven state of charge estimation of lithium-ion batteries: Algorithms, implementation factors, limitations and future trends
Global carbon emissions caused by fossil fuels and diesel-based vehicles have urged the
necessity to move toward the development of electric vehicles and related battery storage …
necessity to move toward the development of electric vehicles and related battery storage …
A state-of-charge estimation method of the power lithium-ion battery in complex conditions based on adaptive square root extended Kalman filter
The control strategy of electric vehicles mainly depends on the power battery state-of-charge
estimation. One of the most important issues is the power lithium-ion battery state-of-charge …
estimation. One of the most important issues is the power lithium-ion battery state-of-charge …
Deep learning enabled state of charge, state of health and remaining useful life estimation for smart battery management system: Methods, implementations, issues …
State of Charge (SOC), state of health (SOH), and remaining useful life (RUL) are the crucial
indexes used in the assessment of electric vehicle (EV) battery management systems (BMS) …
indexes used in the assessment of electric vehicle (EV) battery management systems (BMS) …
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 …
Deep adversarial capsule network for compound fault diagnosis of machinery toward multidomain generalization task
With advanced measurement technologies and signal analytics algorithms developed
rapidly, the past decades have witnessed large amount of successful breakthroughs and …
rapidly, the past decades have witnessed large amount of successful breakthroughs and …