Imagine if a car's wheel wasn't just a tire on a rim, but a smart brain that handles driving, braking, and steering all in one piece. This project uses AI to make these wheels talk to each other and the driver to save energy and improve comfort. It's like upgrading from a basic remote control to a smart home system for a car's chassis.
EV manufacturers face high development costs and long time-to-market cycles. Additionally, current vehicle architectures often separate braking, steering, and propulsion, leading to inefficient space and energy use.
A series of scalable smart corner systems integrating motors, brakes, and steering, managed by an AI-based predictive control system.
If you are an EV maker dealing with high production costs and long development cycles — this project developed smart corner systems that can reduce overall EV costs by 5...10% and cut development time by over 30%. This allows for faster time-to-market for new models.
If you are a software firm dealing with the shift toward software-defined vehicles — this project developed AI-based predictive control and multilayer strategies. This enables personalized system operation and better energy management based on real-time user data.
If you are a recycler dealing with complex EV battery and motor dismantling — this project developed a specific focus on the dismantling process and recycling of the vehicle. This streamlines the recovery of materials from integrated wheel modules.
Based on available project data, the project targets an overall cost reduction of EVs by 5...10% depending on the vehicle segment compared to benchmarked EVs.
The project aims to create a new series of scalable and flexible smart corner systems (SCS) for next-generation EVs, indicating a focus on industrial scalability.
Based on available project data, the project is in the early stages (started Jan 2024), and specific licensing terms are not yet listed.
The project uses digital twin-based validation to achieve a reduction in development time of more than 30%.
It integrates the electric powertrain, friction brake, and suspension/steering actuation into a single compact module located in the wheel.
The consortium is heavily industry-weighted at 75%, featuring 9 industrial partners including 5 SMEs. This strong commercial presence, led by AVL DITEST GMBH and spanning 6 European countries, suggests a high priority on commercial viability and industrial application over pure academic research.
Contact AVL DITEST GMBH in Austria for technical partnership inquiries.
Contact us to identify licensing opportunities for AI-based EV control systems.
