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RISA Machine Learning Approach toward Cyber-Physical Security of Battery Systems
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Modern battery systems exhibit a cyber-physical nature due to the extensive use of communication technologies in battery management. This makes modern cyber-physical battery systems vulnerable to cyber threats where an ...
On Distinguishability of Anomalies as Physical Faults or Actuation Cyberattacks
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Increased automation has created an impetus to integrate infrastructure with wide-spread connectivity in order to improve e ciency, sustainability, autonomy, and security. Nonetheless, this reliance on connectivity and the ...
Real-Time Estimation of Lithium-Ion Concentration in Both Electrodes of a Lithium-Ion Battery Cell Utilizing Electrochemical–Thermal Coupling
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper proposes and demonstrates an estimation scheme for Li-ion concentrations in both electrodes of a Li-ion battery cell. The well-known observability deficiencies in the two-electrode electrochemical models of ...
Exploring Electrode-Level State-of-Charge and State-of-Health Dynamics in Lithium-Ion Battery Cells: Modeling and Experimental Identification
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A computationally efficient model serves as a critical prerequisite for battery performance analysis and advanced battery management algorithm design. Although battery models that capture cell-level behavior have been ...
Special Issue on Energy in Smart Infrastructures: Storage and Utilizations
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Over the past few decades, depleting energy resources has become a primary concern pertaining to the sustainability of our planet. In addition, climate change and its cascading effects are showing up in the form of extreme, ...