We focus on helping our clients shorten development time by providing the following deliverables:

  • High-fidelity modeling of chassis and powertrain dynamics
  • Multi-objective Design Optimization (MDO) - using Design Exploration to generate balanced solutions meeting desired performance for attributes such as noise, vibration, harshness (NVH), handling, ride, driveability, durability, and more.  
  • Automation of simulation processes to increase efficiency
  • Tire measurement for Durability, Handling and Ride applications
  • Driving Simulator hardware, software and services
  • Mechatronics simulation with connected mechanical and ADAS models
  • Process assessments to identify bottlenecks, define roadmaps, and maximize return on Computer Aided Engineering activities.








Contact us


I would like CAE Value to contact me via:

VI-grade Releases Latest White Paper: How to meet brand and customer NVH expectations for electric and hybrid vehicles

15 September 2022
White Papers


Employing a Driving Simulator Allows OEMS to Meet Both Customer and Brand NVH Expectations as the Market Shifts to Electric and Hybrid Vehicles

Download White Paper

Since the invention of the automobile, OEMs have been challenged with designing vehicles with both the right engine sound as well as a quiet cabin to travel in. As electric vehicles (EVs) become more and more popular, the traditional NVH challenges in vehicle design are radically changing. The NVH behavior of electrically driven vehicles differs significantly from conventional automobiles. In general, electric vehicles are much quieter, which at first would seem to be an advantage for NVH engineers. However, electric vehicles generate vibrations and noise that are different from those generated by internal combustion (IC) engines; noises and vibrations that unfortunately are in a more unpleasant frequency range for humans. While internal combustion engines generate sound and vibration primarily in lower frequencies, with the majority between 20 and 600 hertz, electric powertrains generate sound and vibration up to 10,000 hertz and more.

NVH engineers know that vibrations and sound can be transmitted into the interior of a vehicle as structure-borne or airborne noise, especially when using stiff, lightweight structures. With an EV those sounds are exacerbated due to the lack of masking by the combustion engine. Previously unheard noises are now front and center: rolling and wind noises or noise sources that previously did not register at all, such as the air conditioning compressor, are now clearly perceptible in an electric vehicle. Since NVH
behavior plays such a major part in influencing the driver’s perception of a vehicle, NVH engineers face high stakes in their efforts to achieve the specific brand DNA that meets the buyer’s expectations for that car or vehicle manufacturer.

But how to meet brand and customer NVH expectations on electric and hybrid vehicles within the development of a car? This article
outlines the challenges NVH engineers face today and illustrates how driving simulators can be used to accelerate automotive NVH
development to provide NVH engineers with conclusive results in already early design phases.


vi grade white paper nvh expectations electric hybrid

Republished from VI-grade
All rights retained by VI-grade

Manage cookie settings
This website uses cookies to make our services work, and that’s why some cookies are necessary and can’t be declined. We use cookies to give you the best user experience possible. You can manage your cookies in the next session.
Cookie settings
Cookie settings
Necessary Cookies
These Cookies are necessary for our website to work and can’t be turned off. The Cookies are usually only activated when you, for example, fill out a form or create or log in to your account. They don’t track any personal information.
Performance Cookies
These Cookies help us to track the number of visitors on our webpage. They also track where our visitors came from and how they found our website. We use this information to analyze how to make our website more user-friendly for our visitors and which landing pages are most relevant for our customers. The information that we store is, for example, what pages you visit when using our website.
Marketing Cookies
We use these Cookies to analyze how we can make our advertising better. The information helps us to learn more about our visitors and makes it possible to personalize ads based on your previous use of our services.