SciTransfer
EVEREST · Project

AI-Driven Thermal Management to Extend Electric Vehicle Range in Extreme Weather

transportTestedTRL 5

Imagine your electric car losing a huge chunk of its battery just to keep you warm in winter. This project creates a smarter heating and cooling system that learns exactly how you like your temperature to save energy. It's like upgrading from a basic heater to a smart home system that knows where you are and what you need, keeping the battery for driving instead of just heating the air.

By the numbers
30%
reduction in climate-related range loss
10%
reduction in overall energy demand
2.1-3.6 million
vehicles equipped annually by 2035
The business problem

What needed solving

Electric vehicles lose significant driving range in extreme weather due to inefficient heating and cooling. Current systems often ignore individual user comfort preferences, leading to wasted energy.

The solution

What was built

A suite of thermal hardware (CO2-hydrocarbon AC, infrared heating, improved insulation) and software (AI-based predictive control, user-centred HMI, and a dedicated ECU).

Audience

Who needs this

Electric Light Duty Vehicle (LDV) manufacturersElectric Light Commercial Vehicle (LCV) manufacturersAutomotive HVAC component suppliersEV Battery Management System (BMS) developers
Business applications

Who can put this to work

Automotive Manufacturing
enterprise
Target: Electric Light Commercial Vehicle (LCV) OEM

If you are an LCV manufacturer dealing with customer complaints about range drop in winter — this project developed AI-based control strategies and new insulation that reduce climate-related range loss by at least 30%. This allows your vans to complete more deliveries per charge.

Automotive Components
mid-size
Target: HVAC System Supplier

If you are a thermal system supplier dealing with inefficient heating units — this project developed a CO2-hydrocarbon AC system and infrared heating. These technology bricks are expected to equip 2.1-3.6 million vehicles annually by 2035.

Software & AI
SME
Target: Vehicle OS Developer

If you are a software provider dealing with rigid energy management — this project developed predictive, AI-based control functions and a user-centred HMI. This results in a 10% reduction in overall energy demand through smarter power distribution.

Frequently asked

Quick answers

How much will these systems cost to implement?

Based on available project data, specific pricing is not provided, but the objective is to develop cost-effective thermal and energy management solutions.

Can this be scaled to mass production?

Yes, the project targets a scale where technology bricks could equip 2.1-3.6 million vehicles annually by 2035.

Who owns the IP and how is it licensed?

Based on available project data, the licensing terms are not specified; however, the consortium includes 6 industry partners and 4 SMEs who will likely hold the resulting IP.

When will the results be ready for integration?

The project runs from 2026-04-01 to 2029-03-31, meaning validated results will be available by early 2029.

How does this integrate with existing vehicle electronics?

The project specifically includes the development of an ECU for integrated control to manage the new thermal technologies.

Consortium

Who built it

The consortium is heavily industry-weighted with 46% industry participation (6 companies), including 4 SMEs. This balance, combined with 3 universities and 4 research institutes across 5 European countries, suggests a strong focus on commercial viability and practical implementation rather than purely theoretical research.

How to reach the team

Contact AIT Austrian Institute of Technology GmbH for technical specifications on the AI-based thermal control.

Next steps

Talk to the team behind this work.

Contact SciTransfer to identify potential licensing partners for the CO2-hydrocarbon AC system.

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