Exploring Advanced AI-Driven Predictive Fleet Maintenance

Send us Fan MailZeroMission and University College Cork join forces to unveil a four-layer AI-driven framework that turns disparate EV fleet data into real-time predictive maintenance intelligence, cutting downtime, extending battery life, and making charging smarter. Hosted by project mentors, this episode dives into how academic talent and industry insight co-create scalable, operationally relevant innovation. In this episode, ZeroMission proudly presents the findings of its strategic research collaboration with University College Cork: “Exploring Advanced AI-Driven Predictive Fleet Maintenance.” As electric vehicle fleets scale to meet global sustainability goals, traditional maintenance models are breaking down under the complexity of EV systems. Together, industry experts and student researchers built a four-layer AI framework that transforms noisy, fragmented fleet telemetry into proactive, actionable decisions, enabling smarter charging, anticipatory servicing, and resilient operations.We trace the journey from raw data collection through preprocessing, machine learning analysis (including techniques like LSTM and Random Forests), to decision support that bridges predictions to real-world fleet action. Hear from the mentors and emerging researchers behind the project about the technical challenges, strategic impact, and why talent-driven industry–academic collaboration is a multiplier for innovation. Plus: what’s next as ZeroMission moves from insight to deployment in live fleet environments. https://exofleets.com/Reach out to us on Email: [email protected] us on LinkedInConnect with our team  Alan Crowley,  Kevin Christopher,  Stephen Breen, Liam Nolan, Callum Hennessy, Niamh Quinn