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Horizon Europe · Industrial Competitiveness in Transport

Higher Voltage, Megawatt Charging System compatible, modular powertrain for Heavy Duty Vehicles (HDV) (2ZERO Partnership)

HORIZON-CL5-2027-03-D5-05 MOBILITY HORIZON-IA Academics

DeadlineApril 14, 2027 not open yet
OpensDecember 15, 2026EU data
StatusForthcomingupdated October 3, 2026

Call summary

From the official text, opening part

Expected Outcome: Project results are expected to contribute to all of the following expected outcomes: Demonstrated integration potential and modularity of next level advanced high-voltage systems to benefit cost of Commercial Vehicles (CV) in particular for the Heavy-Duty Vehicles (HDV) segment. Improved energy efficiency and higher utilization potential of HDV (ensuring full operational capability for the intended usage models) via high-voltage powertrain configurations. Demonstrated benefits of high-voltage systems also for fast charging and auxiliary components. Scope: Major challenges still faced by Heavy Duty Battery Electric Vehicles (HD-BEV) are cost and fast charging. As electric vehicles become more attractive through Total Cost of Ownership (TCO), significantly higher acquisition costs remain, partly caused by the wide spectrum of usage scenarios and a relatively low number o… more

Academics who may be relevant

By subject fit

10
  1. %53
    MUTLU YILMAZ
    Doktor Öğretim Üyesiİstanbul Atlas Üniversitesi

    Shared topics: Electric Vehicles and Infrastructure · Electric and Hybrid Vehicle Technologies

    Overlapping papers: Enhancing Electric Vehicle Battery Charging Efficiency Using an Improved Parrot Optimizer and Photovoltaic Systems (2025)

  2. %51
    ORKUN KARABAŞOĞLU
    DoçentYaşar Üniversitesi

    Shared topics: Electric Vehicles and Infrastructure · Electric and Hybrid Vehicle Technologies · Vehicle emissions and performance

    Overlapping papers: Optimal Operation of Interdependent Power Systems and Electrified Transportation Networks (2018) · Optimal Operation of Interdependent Power Systems and Electrified Transportation Networks (2018)

  3. %50
  4. %46
    AHMET AKTAŞ
    ProfesörGazi Üniversitesi

    Research topics: Microgrid Control and Optimization · Advanced Battery Technologies Research · Smart Grid Energy Management

    Overlapping papers: Design and Application of Electrical Power Backup and Battery Charge with a New Voltage Controller Approach for Military Vehicles (2019) · dc/dc Boost Converter Topologies and Experimental Comparison in Electric Vehicle to Grid Applications (2024)

  5. %46
    AHMET YİĞİT ARABUL
    DoçentYıldız Teknik Üniversitesi

    Shared topics: High voltage insulation and dielectric phenomena · Electric Vehicles and Infrastructure

    Overlapping papers: Low Voltage Battery Management System with Internal Adaptive Charger and Fuzzy Logic Controller (2020) · Parallel hybrid propulsion system with integration of designed electric machine for medium altitude long endurance UAV (2025)

  6. %43
    MEHMET KURTOĞLU
    DoçentGaziantep Üniversitesi

    Research topics: HVDC Systems and Fault Protection · Multilevel Inverters and Converters · Silicon Carbide Semiconductor Technologies

    Overlapping papers: Enhanced Battery State‐of‐Charge Balancing Strategy for Electric Vehicles and Grid‐Storage Systems With Fault‐Tolerant Capability (2026) · A Novel Nearest Level Modulation Method with Increased Output Voltage Quality for Modular Multilevel Converter Topology (2022)

  7. %43
  8. %42
    MURAT AKIL
    Doktor Öğretim ÜyesiBandırma Onyedi Eylül Üniversitesi

    Shared topics: Electric Vehicles and Infrastructure · Electric and Hybrid Vehicle Technologies

    Overlapping papers: Smart coordination of predictive load balancing for residential electric vehicles based on EMD‐Bayesian optimised LSTM (2022) · The SOC Based Dynamic Charging Coordination of EVs in the PV-Penetrated Distribution Network Using Real-World Data (2021)

  9. %40
  10. %40

The fit is computed by code on every request. The call text (title, keywords, start of the official description) is compared with three sources: semantic similarity to the academic profile (50%), shared distinctive terms in YÖKSİS keywords and OpenAlex topics (25%) and publication content — titles, English abstracts and their Turkish translations (25%). Thanks to the translations, Turkish calls also meet papers written in English. 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.