AI-Driven Dynamic Fire Risk Assessment for Electric Vehicles in Buildings

The eRISIKO project enhances international mobility and knowledge exchange to address the evolving fire risks of electric vehicles (EVs) in buildings. Through structured staff exchanges among Universidad de Navarra (UNAV), University of Liverpool (UoL), and Universiti Putra Malaysia (UPM), researchers will collaborate across disciplines in fire engineering, risk assessment, and AI-driven safety solutions. The project has three key objectives: (1) Conducting experimental and computational studies on EV fire dynamics, led by UPM, focusing on heat release rates, flame spread, and fire suppression. (2) Integrating international fire incident data and regulatory analysis, led by UoL, to enhance risk quantification and inform safety policies. (3) Developing an AI-driven fire risk assessment tool, led by UNAV, dynamically adapting to real-time data and regulatory needs. To support mobility and interdisciplinary collaboration, researchers will undertake secondments at partner institutions, gaining cross-institutional expertise in fire experiments, computational modeling, and AI risk assessment. Annual workshops, conferences, and a final summer school at UNAV will facilitate ongoing cooperation, dissemination, and engagement with industry, policymakers, and fire safety agencies. Aligned with European mobility goals, Horizon Europe priorities, and the European Green Deal, eRISIKO will build a sustainable research network linking Europe and Asia. By fostering international mobility, capacity building, and applied research, the project will advance fire safety knowledge, create long-term collaboration, and contribute to global EV fire risk mitigation efforts.