Agri-Immanence
AI decision support for greenhouse growers, turning climate, fertigation and yield data into clear local advice that cuts fertiliser, water and energy use.
Lead: Dr. Felipe Quiroz
Sustainability & Environmental ManagementEleVate
An EV fleet battery platform using real-time vehicle data and AI to extend battery life, cut maintenance costs and improve fleet reliability.
- Lead researcher
- Fabiano Pallonetto
- Institution
- Maynooth University
About the project
EleVate has developed an advanced EV battery management solution designed to promote sustainable practices in electric vehicle (EV) fleets.
Through its integrated platform, EleVate leverages real-time data from EVs combined with advanced AI-driven algorithms to continuously monitor, analyze, and optimize battery performance. This approach not only enhances the lifespan and value of EV batteries but also provides predictive insights that reduce maintenance costs and improve fleet reliability.
The key objectives of EleVate are:
1.Making use of real-time data from EVs and advanced AI algorithm to increase the lifespan and value of EV batteries.
2.Building upon previous research highlighting the environmental concerns of mass EV battery adoption and inefficient recycling practices.
3. Laying the groundwork for a second-life battery reuse ecosystem, supporting circular economy models in EV transport.
Last updated: 8 September 2026
Project team
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