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Advanced data-driven fault diagnosis in lithium-ion battery management systems for electric vehicles: Progress, challenges, and future perspectives
Hazards in electric vehicles (EVs) often stem from lithium-ion battery (LIB) packs during
operation, aging, or charging. Robust early fault diagnosis algorithms are essential for …
operation, aging, or charging. Robust early fault diagnosis algorithms are essential for …
[HTML][HTML] Empowering Fuel Cell Electric Vehicles Towards Sustainable Transportation: An Analytical Assessment, Emerging Energy Management, Key Issues, and …
Fuel cell electric vehicles (FCEVs) have received significant attention in recent times due to
various advantageous features, such as high energy efficiency, zero emissions, and …
various advantageous features, such as high energy efficiency, zero emissions, and …
Advancement in battery health monitoring methods for electric vehicles: Battery modelling, state estimation, and internet-of-things based methods
The battery health monitoring system (BHMS) ensures safety, performance, and reliability of
lithium-ion battery (LIB) in electric vehicles (EVs). It also estimates and monitors the critical …
lithium-ion battery (LIB) in electric vehicles (EVs). It also estimates and monitors the critical …
[HTML][HTML] Toward Intelligent Materials with the Promise of Self-Healing Hydrogels in Flexible Devices
Flexible sensors are revolutionizing wearable and implantable devices, with conductive
hydrogels emerging as key materials due to their biomimetic structure, biocompatibility …
hydrogels emerging as key materials due to their biomimetic structure, biocompatibility …
[HTML][HTML] Battery Health Monitoring and Remaining Useful Life Prediction Techniques: A Review of Technologies
Lithium-ion (Li-ion) batteries have become essential in modern industries and domestic
applications due to their high energy density and efficiency. However, they experience …
applications due to their high energy density and efficiency. However, they experience …
[HTML][HTML] State of Health Estimation for Lithium-Ion Batteries Using Enhanced Whale Optimization Algorithm for Feature Selection and Support Vector Regression …
R Wang, X Xu, Q Zhou, J Zhang, J Wang, J Ye, Y Wu - Processes, 2025 - mdpi.com
Evaluating the state of health (SOH) of lithium-ion batteries (LIBs) is essential for their safe
deployment and the advancement of electric vehicles (EVs). Existing machine learning …
deployment and the advancement of electric vehicles (EVs). Existing machine learning …
Prediction of electric vehicle battery state of health estimation using a hybrid deep learning mechanism
Lithium-ion batteries (LIBs) are widely employed, but fluctuations in temperature,
overcharging, and overdischarging reduce their service lifetime. Battery health issues such …
overcharging, and overdischarging reduce their service lifetime. Battery health issues such …
Physics-Informed Fractional-Order Recurrent Neural Network for Fast Battery Degradation with Vehicle Charging Snippets
Y Wang, M Wei, F Dai, D Zou, C Lu, X Han, Y Chen… - Fractal and …, 2025 - mdpi.com
To handle and manage battery degradation in electric vehicles (EVs), various capacity
estimation methods have been proposed and can mainly be divided into traditional …
estimation methods have been proposed and can mainly be divided into traditional …