If you are an EV manufacturer dealing with range anxiety in extreme weather — this project developed AI-driven climate control and wide-bandgap converters that reduce energy loss. This ensures vehicles maintain a more consistent range regardless of the temperature.
AI-Driven Thermal Management to Extend Electric Vehicle Range and Passenger Comfort
Imagine your car knowing exactly how warm you like it and adjusting the temperature based on the weather outside and your personal habits. Instead of wasting battery power on a generic heater, it uses smart software and advanced materials to keep you cozy while saving energy. It's like having a smart thermostat for your car that helps the battery last longer during freezing winters or scorching summers.
What needed solving
Electric vehicles suffer significant range loss and passenger discomfort in extreme weather. Current thermal systems are often inefficient and do not adapt to individual user preferences.
What was built
AI-driven climate control software, PCM/PTC interior materials, oil-free centrifugal e-compressors, wide-bandgap converters, and additive-manufactured heat exchangers.
Who needs this
Who can put this to work
If you are a fleet operator dealing with high energy costs for cabin heating in delivery vans — this project developed PCM/PTC-based interior materials and smart energy strategies. This lowers the power draw needed to keep drivers comfortable during urban routes.
If you are a parts supplier dealing with the need for lighter, more efficient cooling systems — this project developed additive-manufactured heat exchangers and oil-free centrifugal e-compressors. These components allow for more compact and sustainable thermal architectures.
Quick answers
What is the estimated cost or price of the developed systems?
Based on available project data, specific pricing is not provided, but the project aims to design systems that are sustainable and affordable.
Can these technologies be scaled for mass production?
Yes, the project includes scalability and replication studies to validate the readiness for market adoption across LDV and LCV platforms.
How is the intellectual property or licensing handled?
Based on available project data, specific licensing terms are not mentioned, though the consortium includes 7 industrial partners who typically manage IP for market entry.
How does this integrate with existing vehicle software?
The system leverages Software-Defined Vehicle functionalities and Smart City services to integrate AI-supported energy management strategies.
What is the timeline for commercial availability?
The project runs from 2026-06-01 to 2029-05-31, suggesting market-ready validations will occur toward 2029.
Who built it
The consortium is heavily weighted toward commercialization, with a 58% industry ratio consisting of 7 industrial partners, including 3 SMEs. This balance, combined with 4 universities and 1 research center across 8 countries, suggests a strong pipeline from academic research to industrial application, specifically targeting the LDV and LCV markets.
Contact the Technical University of Ilmenau in Germany
Talk to the team behind this work.
Contact us to connect with the AETHER consortium for early access to thermal management IP.