![]() ![]() Prior to the test drives, triaxial sensors were glued to the components’ surfaces, and the sensor configurations, including serial number, sensitivity, and orientation, were recorded. Sensor placement in the Tesla on the strut tower (left), rear-view mirror, and windshield (right). Vibration Research’s ObserVR1000 functioned as the data recorder for both road tests. The test engineers compared a Tesla Model 3 and a 2016 BMW 340i xDrive. As the demand for EV increases, VR wants to have the right testing tools for the new scenarios our customers will likely encounter. The purpose was to gain a better understanding of the differences in NVH of the vehicle types. They mounted sensors to an electric vehicle and ICE vehicle and drove them on the same route to gather acoustic and vibration data. The team at Vibration Research was interested in generating some comparisons of their own. ![]() The industry is aware that wind noise has increased significantly and noise from the powertrain and ancillaries is more prominent. As the noise from the combustion engine is no more, engineers must address noise that was not an issue previously.Ĭurrently, engineers are examining data on the acoustic behavior of the powertrain and other components, which includes new considerations to resonances and sound pressure level measurement in the operational environment. Noise, vibration, and harshness ( NVH) testing of BEV is one of the areas still in the research/development stage. However, the internal combustion engine has defined the industry for decades, and there’s still much to learn about the noise and vibration environment of battery electric vehicles. The automotive industry has made many advancements in this growing sector, particularly in battery electric vehicle (BEV) development. Comparison of Electric Vehicle and Internal Combustion Engine Vibration Analyses Experiments and Papers Author Cherie Stoll & Joel MinderhoudĮlectric vehicles are gaining traction worldwide, and manufacturers are working quickly to respond to the demand. ![]()
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