NEXEN TIRE develops tire performance prediction system using AI technology

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TitleNEXEN TIRE develops tire performance prediction system using AI technology	Date14 07 2022
Nexen announced the development of an Artificial Intelligence (AI) and big data-driven methodology aimed at reducing tire noise. The big data research for Noise, Vibration, and Harshness (NVH) was jointly conducted with Hyundai-Kia Automotive Group and Inha University in Korea. Since 2018, Nexen Tire conducted the joint research with long-standing partner Hyundai-Kia Automotive Group to increase customer satisfaction and improve the environment by reducing noise levels. More importantly, the research is set to make an impact that can help reduce research and development (R&D) time and costs. Researchers from “THE NEXEN univerCITY” together with Hyundai-Kia and Inha University, were able to make use of vast amounts of data as well as deep-learning algorithms based on tire patterns and noise design factors to create an AI system that both optimizes the product and improves on the pass-by noise of automobiles and tires.

TitleNEXEN TIRE develops tire performance prediction system using AI technology

Date14 07 2022

Nexen announced the development of an Artificial Intelligence (AI) and big data-driven methodology aimed at reducing tire noise. The big data research for Noise, Vibration, and Harshness (NVH) was jointly conducted with Hyundai-Kia Automotive Group and Inha University in Korea.

Since 2018, Nexen Tire conducted the joint research with long-standing partner Hyundai-Kia Automotive Group to increase customer satisfaction and improve the environment by reducing noise levels. More importantly, the research is set to make an impact that can help reduce research and development (R&D) time and costs.

Researchers from “THE NEXEN univerCITY” together with Hyundai-Kia and Inha University, were able to make use of vast amounts of data as well as deep-learning algorithms based on tire patterns and noise design factors to create an AI system that both optimizes the product and improves on the pass-by noise of automobiles and tires.