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RISLithium-Ion Batteries’ Energy Efficiency Prediction Using Physics-Based and State-of-the-Art Artificial Neural Network-Based Models
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The new generation of lithium-ion batteries (LIBs) possesses considerable energy density that arise the safety concern much more than before. One of the main issues associated with LIB safety is the heat generation and ...
Prediction of Hydroplaning Potential Using Fully Coupled Finite Element-Computational Fluid Dynamics Tire Models
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Hydroplaning is a phenomenon that occurs when a layer of water between the tire and pavement pushes the tire upward. The tire detaches from the pavement, preventing it from providing sufficient forces and moments for the ...
A Rainbow Piezoelectric Energy Harvesting System for Intelligent Tire Monitoring Applications
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Intelligent tires can be used in autonomous vehicles to insure the vehicle safety by monitoring the tire and tire-road conditions using sensors embedded on the tire. These sensors and their wireless communication systems ...