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VR-H2Safe: a VR-based hydrogen vehicle safety & efficiency optimization platform with V2X integration.

Mohammad BaniSalman1, Mohammad Aljaidi1, Ahmad Abdullah Alshammari2

  • 1Department of Computer Science, Faculty of Information Technology, Zarqa University, Zarqa, 13110, Jordan.

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|May 5, 2026
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Summary
This summary is machine-generated.

VR-H2Safe enhances hydrogen vehicle safety and efficiency. This cyber-physical platform uses AI and simulation for faster, more reliable testing, reducing validation time and improving fuel cell performance.

Keywords:
BlockchainCyber-physical systemsDigital twinHydrogen vehicle safetyPhysics-informed machine learningV2X communication

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Area of Science:

  • Automotive Engineering
  • Cyber-Physical Systems
  • Artificial Intelligence

Background:

  • Hydrogen vehicles face safety risks (leakage), high testing costs, and fuel cell inefficiencies.
  • Current safety verification methods are time-consuming and expensive.

Purpose of the Study:

  • To introduce VR-H2Safe, a cyber-physical platform for hydrogen vehicle safety and performance optimization.
  • To address challenges in hydrogen leakage simulation, hazard warning, and fuel cell efficiency.

Main Methods:

  • High-fidelity simulation (ANSYS Fluent LES) for digital twin development.
  • Physics-informed reinforcement learning (RL) for AI-driven optimization.
  • Secure Vehicle-to-Everything (V2X) communication with the H2-LEAK protocol (blockchain-authenticated).

Main Results:

  • Digital twin achieved 92% spatio-temporal correlation for hydrogen leakage simulation.
  • H2-LEAK protocol provided hazard warnings in <2s with 95% spoofing resistance.
  • AI optimization increased fuel cell energy efficiency by 10% and reduced thermal violations by 58%.

Conclusions:

  • VR-H2Safe accelerates safety verification and reduces engineering validation from 14 to 10 weeks.
  • The platform demonstrates significant improvements in safety, efficiency, and testing timelines for hydrogen vehicles.