The automotive industry is undergoing a topological discontinuity: the transition from monolithic unibody construction to decoupled EV "skateboard" platforms where a permanent rolling chassis is designed to accept interchangeable "top hat" body modules. While mechanically viable, this modular shift introduces a critical software trust gap. A chassis tuned for a specific aerodynamic and mass profile cannot safely execute its electronic control unit (ECU) calibrations with a third-party body module without risking dynamic instability, braking failures, or thermal saturation. This technical white paper introduces the Open Vehicle Initialization Protocol (OVIP), a standardized, open-source middleware architecture that governs the real-time hardware-software handshake between universal chassis substrates and swappable body modules. Developed under strict functional safety paradigms (ISO 26262 ASIL D target), OVIP provides a deterministic, three-stage validation pipeline: Stage 1 (The Manifest Handshake): A cryptographically signed data payload (Ed25519) detailing physical, aerodynamic, and electrical parameters transmitted over an isolated umbilical link. Stage 2 (The AI Trust Layer): An onboard multi-model validation pipeline running localized, deterministic physics simulations (evaluating Static Stability Factor, dynamic rollover boundaries, and thermal rejection headroom) to configure operational trust without cloud dependencies. Stage 3 (Dynamic Substrate Calibration): An atomic, checkpoint-based ECU re-flash sequence that modifies safety-critical control laws (Torque Vectoring, Brake Pressure Proportioning, ESC gains) in real time. This document details the protocol's security architecture, threat model, regulatory pathways (NHTSA, FMVSS, UNECE WP.29), and contains a full, executable Python reference implementation for the ChassisTrustRouter v2 core engine. OVIP shifts compliance enforcement from physical roadside inspections to runtime software validation at the moment of vehicle activation, turning the driveway into a high-performance, plug-and-play development substrate.
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Don Feeney
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Don Feeney (Sun,) studied this question.
synapsesocial.com/papers/6a1e734530b38c64201b671f — DOI: https://doi.org/10.5281/zenodo.20480433