A review of data-driven whole-life state of health prediction for lithium-ion batteries: Data preprocessing, aging characteristics, algorithms, and future challenges
Lithium-ion batteries are the preferred green energy storage method and are equipped with
intelligent battery management systems (BMSs) that efficiently manage the batteries. This …
intelligent battery management systems (BMSs) that efficiently manage the batteries. This …
Advancing state of charge management in electric vehicles with machine learning: A technological review
As the share of electric vehicles increases, electric vehicles are exposed to broader of
driving conditions (eg, extreme weather), which reduce the performance and driving ranges …
driving conditions (eg, extreme weather), which reduce the performance and driving ranges …
Closed-loop state of charge estimation of Li-ion batteries based on deep learning and robust adaptive Kalman filter
W Qi, W Qin, Z Yun - Energy, 2024 - Elsevier
The state of charge (SOC) is among the most crucial monitoring states in battery
management systems. To accurately and robustly estimate the battery SOC, a closed-loop …
management systems. To accurately and robustly estimate the battery SOC, a closed-loop …
Industrial expert systems review: A comprehensive analysis of typical applications
X Yang, C Zhu - IEEE Access, 2024 - ieeexplore.ieee.org
As a branch of artificial intelligence (AI), expert systems are well-known for interpreting and
deducing solutions to problems based on the rules contained within a knowledge base …
deducing solutions to problems based on the rules contained within a knowledge base …
Recent advances in thermal management strategies for lithium-ion batteries: a comprehensive review
Effective thermal management is essential for ensuring the safety, performance, and
longevity of lithium-ion batteries across diverse applications, from electric vehicles to energy …
longevity of lithium-ion batteries across diverse applications, from electric vehicles to energy …
[HTML][HTML] Integration of electric vehicle power supply systems—case study analysis of the impact on a selected urban network in Türkiye
Undoubtedly, the transition to electromobility with several million new, efficient charging
points will have consequences for the energy industry, and in particular for network …
points will have consequences for the energy industry, and in particular for network …
Progress of machine learning-based biosensors for the monitoring of food safety: A review
Rapid urbanization and growing food demand caused people to be concerned about food
safety. Biosensors have gained considerable attention for assessing food safety due to …
safety. Biosensors have gained considerable attention for assessing food safety due to …
Graphene-Based 2D Materials for Rechargeable Batteries, Hydrogen Production and Storage-A Critical Review
Batteries and hydrogen energy devices are considered the most critical technologies for
achieving zero carbon dioxide emissions. However, they still suffer from several limitations …
achieving zero carbon dioxide emissions. However, they still suffer from several limitations …
Advances of machine learning-assisted small extracellular vesicles detection strategy
Q Zhang, T Ren, K Cao, Z Xu - Biosensors and Bioelectronics, 2024 - Elsevier
Detection of extracellular vesicles (EVs), particularly small EVs (sEVs), is of great
significance in exploring their physiological characteristics and clinical applications. The …
significance in exploring their physiological characteristics and clinical applications. The …
Survey on task-centric robot battery management: A neural network framework
The surge in autonomous robotic applications across various sectors highlights the crucial
need for effective robot battery management to ensure robots perform their tasks …
need for effective robot battery management to ensure robots perform their tasks …