How can Gen AI accelerate R&D processes?
You may be wondering: Why is accelerating R&D processes important? Now, more than perhaps ever, time = money. In an industry that’s…
How can Gen AI accelerate R&D processes?
(Source: Pexels, 2024)
You may be wondering: Why is accelerating R&D processes important? Now, more than perhaps ever, time = money. In an industry that’s struggling with varying EV demand, fluctuating labor costs, and potential tariffs affecting production in Mexico, saving money is more important than ever.
One important way to save money without sacrificing quality is to increase usage of Generative AI. R&D processes can accelerate 2x, 10x, or even 100x if Gen AI is implemented properly. This is particularly evident in design and reverse engineering.
How?
Gen AI can be used to generate designs. It’s also possible to use Gen AI to train systems and enhance software development capabilities. One German automotive OEM is using generative models for solving complex manufacturing challenges and optimizing large-scale production processes. These AI models assist in generating and refining solutions for combinatorial problems, streamlining efficiency in manufacturing. (Source: https://www.fierceelectronics.com/electronics/aws-and-qualcomm-co-innovate-around-auto-bmw-one) In another example, a German OEM used generative AI to accelerate the development of software-defined vehicle architectures, improving adaptability and functionality.
Battery Technology is another place where AI can accelerate R&D processes. For example, AI can reduce the time required for battery testing by identifying the most relevant scenarios from thousands of possibilities. This accelerates validation processes and helps design longer-lasting, faster-charging batteries. (Source: https://www.electrichybridvehicletechnology.com/opinion/opinion-using-ai-to-reduce-battery-testing.html ) AI models can also analyze historical battery cycle data to predict degradation trends faster than real-time testing, identifying optimal charge-discharge profiles for longer battery life.
Gen AI can streamline over-the-air (OTA) updates. Modern vehicles are very much like computers on wheels and as such, their software needs regular updating. Of course, Gen AI can enhance how software is developed, deployed, and maintained for vehicles. Updates can be personalized by analyzing individual vehicle data and usage patterns. This ensures that only relevant updates are sent to a car, optimizing performance and user experience without overloading the system with unnecessary data or features. AI models can preemptively identify potential software issues or bugs before they are sent in an OTA update. This reduces the risk of updates causing malfunctions in connected vehicles. By analyzing existing software and user feedback, generative AI can automate parts of the software development process, such as generating patches or new features for updates. This reduces development time. AI systems can also process feedback from the vehicle post-update, refining future updates based on performance and user interactions. This all results in continuous improvements.
These three examples — AI-generated designs, battery technology, and OTA updates are just a few examples of how Gen AI can accelerate R&D process.
What ways have you thought of for Gen AI to help?
Carolyn Peer
CEO/Co-founder, Humaxa
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