Advancing electric vehicle battery characterization by integrating drive cycle on cooling impacts3 Martie 2021

Ora: 16:00 (Romania)

An increase in battery efficiency is one of the biggest challenges that engineers face. While Li-ion batteries are currently the best option available, they are by no means the ultimate in battery technology: There is much room for improvement. The high mass of Li-ion batteries reduces fuel efficiency in automobiles, and their potential flammability makes them dangerous, particularly in the event of a crash. Researchers worldwide are trying to develop a better battery to replace Li-ion technology. For now, optimizing the configuration of Li-ion batteries is the best method of increasing battery performance, but batteries are complex systems that are difficult to model and test using physical prototypes. Numerical simulation is an indispensable tool for battery designers and researchers.

Since the battery is a multiphysics application, its simulation involves many different disciplines, including, but not limited to, electrochemical modeling, electrical circuit modeling, electromagnetics modeling and thermal modeling. Here we present one method of using engineering simulation solutions to optimize battery performance and function by comparing different numerical approaches.



How to Troubleshoot, Qualify and Quantify Noise, Vibrations and Sound Quality in the Rail Industry31 Martie 2021

Ora: 11:00 (Romania) This webinar is for acoustics and vibration teams working in railway industries, for part suppliers and OEMs. Based on test measurements and CAE simulations, this webinar will demonstrate how Ansys tools are used to troubleshoot, qualify... ...

Ansys 2021 R1: Ansys Mechanical Update16 Martie 2021

Ora: 11:30 (Romania) Ansys 2021 R1 delivers cutting-edge improvements to Ansys Mechanical, including a wide range of new technologies and capabilities to equip engineers with easier workflows, speed development, enhance efficiency and increase reliability. Advancements in meshing, solvers and... ...



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