Neuro-Symbolic Triple-Loop Framework for Autonomous Vehicle and Smart Grid Integration

Description:

This technology develops a Neuro-Symbolic Triple-Loop (NSTL) Framework combining advanced AI models with formal logic verification to enable seamless and secure Vehicle-to-Grid (V2G) integration. It leverages transformer-based neural proposers, symbolic refinement through formal specifications, and rigorous verification to produce safety-certified control laws that align with physical laws and stochastic system dynamics. The framework addresses critical challenges in system control and safety for the emerging Energy-Mobility Nexus.

Key Advantages:

• Integrates neural intuition with symbolic rigor for trustworthy control synthesis.
• Ensures adherence to physical constraints through formal verification using Lean 4.
• Provides mathematically verified safety certificates for stochastic control systems.
• Enhances computational performance via autoformalization powered by large language models.
• Improves systemic resilience by reducing grid instability and enabling robust AV-grid coordination.
• Supports workforce development by training researchers in both AI and formal methods.

Problems Solved:

• Bridges the semantic gap between AI-generated control laws and physical system constraints.
• Overcomes the limitations of heuristic or approximate safety verification in critical infrastructure.
• Addresses challenges in natural language specification autoformalization for engineering systems.
• Mitigates risks of system failures from improper integration of autonomous vehicles and power grids.
• Enhances national infrastructure security and decarbonization efforts.

Market Applications:

• Autonomous vehicle fleet management with seamless Vehicle-to-Grid energy exchange.
• Smart grid control systems requiring formally verified safety and reliability.
• Energy infrastructure ensuring decarbonization and economic stability.
• Advanced AI-driven control synthesis tools for engineering and transportation sectors.
• STEM education and training programs specializing in AI and formal verification techniques.