The global automotive sector faces increasing pressure to offer highly customizable vehicles and integrate advanced digital services. This demand is fueled by consumer expectations for personalized experiences and the operational needs of commercial fleets and MaaS platforms for real-time data and flexible functionality. This technology provides a critical solution by simplifying the integration of new features, enabling rapid response to market trends, and offering a cost-effective pathway to enhance vehicle intelligence and connectivity without extensive re-engineering.
Significantly reduces customization development time by up to 20% by easily adding functional units via existing vehicle diagnostic ports.
Enables seamless integration with diverse external devices, such as wireless communication, logging, and TPMS, by supplying output signals via an adapter.
Optimizes power supply and operational flexibility by stopping power when ACC is off and allowing portable battery power.
Enhances operational stability and flexibility.
This patent protects a robust modular system for vehicle function expansion, specifically covering an adapter and detachable units, along with intelligent power management features like ACC-off power control and portable battery supply. Its claims were strengthened through examination, indicating high stability against invalidation.
While this patent covers the modular adapter and unit for function expansion via diagnostic ports, it does not extensively cover the internal processing logic of specific advanced sensor types or deeper integration into core vehicle ECUs beyond signal output. Licensees could develop proprietary algorithms for data analysis or integrate new sensor technologies that leverage this platform without direct IP conflict.
Assuming this technology is implemented in 1,000 fleet vehicles to build data logging and function expansion systems. Conventional methods required an initial cost of $330 (AI est.) per vehicle and an annual operating cost of $130 (AI est.) per vehicle. This technology is estimated to reduce initial costs by 40% ($130/unit (AI est.)) and annual operating costs by 20% ($30/unit (AI est.)). This projects an initial cost reduction of $130K (AI est.) (1,000 units × $330/unit × 0.4) and an annual operating cost reduction of $25K (AI est.) (1,000 units × $130/unit × 0.2), totaling an estimated annual cost reduction of ~$155K (AI est.).
X: System Expandability
Y: Power Management Optimization