Advanced battery management strategies for a sustainable energy future: Multilayer design concepts and research trends
Lithium-ion batteries are promising energy storage devices for electric vehicles and
renewable energy systems. However, due to complex electrochemical processes, potential …
renewable energy systems. However, due to complex electrochemical processes, potential …
Future smart battery and management: Advanced sensing from external to embedded multi-dimensional measurement
Lithium-ion batteries (LIBs) has seen widespread applications in a variety of fields like the
renewable penetration, electrified transportation, and portable electronics. A reliable battery …
renewable penetration, electrified transportation, and portable electronics. A reliable battery …
Internal short circuit mechanisms, experimental approaches and detection methods of lithium-ion batteries for electric vehicles: A review
Energy security, environmental concerns, and the upgrading of automobile industry are the
driving trifecta of the rapid development of electric vehicles (EVs). Lithium-ion batteries …
driving trifecta of the rapid development of electric vehicles (EVs). Lithium-ion batteries …
Advanced fault diagnosis for lithium-ion battery systems: A review of fault mechanisms, fault features, and diagnosis procedures
Lithium (Li)-ion batteries have become the mainstream energy storage solution for many
applications, such as electric vehicles (EVs) and smart grids. However, various faults in a Li …
applications, such as electric vehicles (EVs) and smart grids. However, various faults in a Li …
Transfer learning-motivated intelligent fault diagnosis designs: A survey, insights, and perspectives
Over the last decade, transfer learning has attracted a great deal of attention as a new
learning paradigm, based on which fault diagnosis (FD) approaches have been intensively …
learning paradigm, based on which fault diagnosis (FD) approaches have been intensively …
Battery technologies and functionality of battery management system for EVs: Current status, key challenges, and future prospectives
Research and development towards electric vehicles (EVs) are getting exclusive attention
because of their eco-friendly nature, suppression of petroleum products, greener transport …
because of their eco-friendly nature, suppression of petroleum products, greener transport …
Machine learning techniques applied to mechanical fault diagnosis and fault prognosis in the context of real industrial manufacturing use-cases: a systematic literature …
M Fernandes, JM Corchado, G Marreiros - Applied Intelligence, 2022 - Springer
When put into practice in the real world, predictive maintenance presents a set of challenges
for fault detection and prognosis that are often overlooked in studies validated with data from …
for fault detection and prognosis that are often overlooked in studies validated with data from …
A review on fault detection and process diagnostics in industrial processes
YJ Park, SKS Fan, CY Hsu - Processes, 2020 - mdpi.com
The main roles of fault detection and diagnosis (FDD) for industrial processes are to make
an effective indicator which can identify faulty status of a process and then to take a proper …
an effective indicator which can identify faulty status of a process and then to take a proper …
A survey of physics-based attack detection in cyber-physical systems
Monitoring the “physics” of cyber-physical systems to detect attacks is a growing area of
research. In its basic form, a security monitor creates time-series models of sensor readings …
research. In its basic form, a security monitor creates time-series models of sensor readings …
A survey of fault diagnosis and fault-tolerant techniques—Part I: Fault diagnosis with model-based and signal-based approaches
Z Gao, C Cecati, SX Ding - IEEE transactions on industrial …, 2015 - ieeexplore.ieee.org
With the continuous increase in complexity and expense of industrial systems, there is less
tolerance for performance degradation, productivity decrease, and safety hazards, which …
tolerance for performance degradation, productivity decrease, and safety hazards, which …