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Horizon Europe · Industrial Competitiveness in Transport

Fire prevention and mitigation for EVs in confined areas (2ZERO Partnership)

HORIZON-CL5-2027-03-D5-06 MOBILITY HORIZON-IA Academics

DeadlineApril 14, 2027 not open yet
OpensDecember 15, 2026EU data
StatusForthcomingupdated September 30, 2026

Call summary

From the official text, opening part

Expected Outcome: Project results are expected to contribute to all of the following expected outcomes: Standardised fire risk assessment for EVs’ [1] fire hazards in constrained spaces and areas such as underground/ built-in parking lots, garages, ferryboats and depots with and without charging facilities and during mono- or bidirectional charging. Innovative on-board and/or off-board affordable fire-detection, suppression, and containment measures and techniques. Standardised fire protocols and open evaluation frameworks. Enhanced public perception of fire safety across all EV categories. Scope: The overall fire safety risks associated with Electric Vehicles (EVs) are substantially lower compared to those of Internal Combustion Engine (ICE) vehicles. However, public concerns and perceptions about EV fire safety may still persist. This necessitates a thorough examination and addressing … more

Academics who may be relevant

By subject fit

4
  1. %53
    CİHAN GÖKÇE
    Öğretim Görevlisi (ders Vermekle Görevli)Bayburt Üniversitesi

    Shared topics: Fire dynamics and safety research · Fire effects on concrete materials

  2. %44
    AŞKIN ERDOĞAN
    ProfesörAlanya Alaaddin Keykubat Üniversitesi

    Shared topics: Fire effects on ecosystems

  3. %42
    RABİA GÜZİDE AL
    Araştırma GörevlisiDoğuş Üniversitesi

    Shared topics: Fire Detection and Safety Systems

  4. %40
    ZÜHAL ÖZCAN YAVUZ
    Doktor Öğretim ÜyesiBahçeşehir Üniversitesi

    Shared topics: Fire effects on ecosystems

The fit is computed by code on every request: semantic similarity (55%) between the call text (title, EU keywords, start of the official description) and the academic’s YÖKSİS fields, keywords and OpenAlex topics, plus shared distinctive terms (45%; common words weigh little). Below 40% is not shown. A subject hint only — not an eligibility, capacity or merit assessment. Hidden profiles are never listed.