Nissan Streamlines Car Design with AI.

AI Lessens Nissan Designer/Engineer Loads

Lately, the utilization of Artificial Intelligence (AI) has seen a surge in popularity, with computers producing eximious products in the automotive sector. Even General Motors, an auto behemoth, is exploring the likelihood of integrating ChatGPT, an AI-powered chatbot, into its vehicles.

Venturing beyond the east, Nissan is engaged in using Artificial Intelligence (AI) via their Yokohoma Lab. Located in Kanagawa Prefecture, Japan, this facility functions as the marque’s AI investigation and implementation bureau, where researchers are trying to find ways of working AI into the auto-manufacturing process.

It is essential to consider air resistance when designing a new car, as it can drastically affects its performance when in motion.The Yokohama Lab strives to fathom how AI can assist with overcoming hurdles experienced by engineers and planners, which could ultimately reduce the time taken for simulations and deliver more efficient outcomes. One region of automobile configuration that the exploration facility searches to advance through Artificial Intelligence is aerodynamics, being the analysis of how items travel through the atmosphere. Taking into account wind opposition when constructing a fresh vehicle is indispensable, since it can significantly alter its operation when in transit.

Kei Akasaka, an Aerodynamics Engineer, is well aware of the difficulty in computing aero. “It’s quite the challenge to be able to answer promptly to any requests from designers,” he remarked. “They might make a slight alteration in the design and expect to know the effects on aerodynamics as soon as possible.”

Akasaka went to Yokohoma Lab inquiring as to how AI may provide a solution to the predicament presented. Subsequently, the research center engendered a venture aimed at designing a forecasting model with the help of AI-backed deep learning technology. Despite their attempts, the team highlighted that added data is fundamental for the fulfillment of the job.

“As the data increases, the accuracy improves, but it also increases dependency on the data,” commented Data Scientist Chen Fangge. “To address this issue, we conducted experiments and collaborated with Akasaka to train the model using paired information such as fluid dynamics equations and other physical laws, as well as the shape of the car.”

It would be intriguing to find out what imaginative concepts Yokohoma Lab can generate for Nissan. We anticipate that it’ll include the incorporation of signature design characteristics like the V-Motion grille, encompassing the whole model range including the all-electric Nissan Ariya.

Nissan is leveraging AI to construct more secure vehicles by devising an analysis scanner that can measure the state of car parts with 99.995% correctness. The application of AI comes in when it inspects a photograph, compares it to archived information the system possesses, and proposes solutions as necessary.

Recently, the renowned motorsport enterprise BMW ventured into the realm of Artificial Intelligence (AI). At the beginning of this year they employed AI for the objective of creating a couple of hard-core off-roaders vehicles. One of their designs featured an SUV in the style of a BMW X7 with a high ground clearance, massive tires specially designed for off-roading, and a rack on the roof.