The functions of intelligent cockpits are becoming increasingly complex, while traditional manual testing suffers from low efficiency, poor consistency, and difficulty in traceability. This paper investigates automated production line testing technologies for head units, constructs a technical architecture covering cockpit automation testing and SOA interface services, proposes a "two-end, one-library" framework, and explores three key technologies: multimodal interaction modeling, interface semantic parsing, and cross-domain service orchestration. Verification through the "end-cloud integrated electrical intelligent verification platform", the special-item testing time for a single-vehicle head unit is reduced from 30 minutes of manual operation to 10 minutes, with significantly improved consistency and traceability.