Volvo Cars Accelerates Cfd Simulations By 2.5X With Ansys And Nvidia GPUs For EX90 Electric Vehicle

In collaboration with Ansys and NVIDIA, Volvo Cars has significantly accelerated computational fluid dynamics (CFD) simulations for its EX90 electric vehicle by 2.5 times through the use of Ansys Fluent software and eight NVIDIA Blackwell GPUs. This advancement reduces simulation time from 24 hours to 6.5 hours, enabling more design iterations and optimizing aerodynamics to enhance EV range and efficiency.

Volvo Cars has partnered with Ansys and NVIDIA to enhance their computational fluid dynamics (CFD) simulations, aiming to accelerate the development of energy-efficient vehicles. This collaboration focuses on optimizing CFD processes to improve aerodynamic performance and extend electric vehicle range.

The project leverages Ansys Fluent software alongside NVIDIA Blackwell GPUs, achieving a 2.5x speed improvement in simulations. Previously taking 24 hours, these simulations now complete in just 6.5 hours, significantly reducing the time required for each iteration.

This acceleration enables Volvo Cars to explore multiple design variants more efficiently, fostering innovation and faster product development. By optimizing aerodynamic drag, the company can enhance vehicle efficiency and range, which are crucial factors for electric vehicles like the EX90.

The integration of advanced simulation tools underscores the importance of computational efficiency in modern automotive engineering, allowing for precise modeling and rapid testing of designs to meet stringent performance standards.

Ansys Fluent Software Enhances High-Fidelity Fluid Dynamics Models

Ansys Fluent software plays a pivotal role in advancing high-fidelity fluid dynamics models. By integrating with NVIDIA Blackwell GPUs, Ansys Fluent achieves significant computational speed improvements, reducing simulation runtime from 24 hours to just 6.5 hours. This enhancement is critical for iterative design processes, enabling engineers to test multiple configurations efficiently.

The workflow combines GPU-based solving for rapid computations with CPU cores for meshing tasks, ensuring both precision and efficiency. This hybrid approach maintains high-fidelity modeling while significantly reducing processing time.