The global automotive industry is undergoing a profound transformation driven by electrification, autonomous driving, and connected services. This shift creates an urgent need for efficient, standardized methods to access and utilize vehicle data. Regulatory pressures for enhanced vehicle safety and environmental performance, coupled with consumer demand for personalized in-car experiences, are fueling innovation. This technology offers a streamlined approach to integrate new functionalities and data services, allowing companies to quickly adapt to market demands and gain a competitive edge in the evolving mobility landscape.
Significantly enhances function expandability through a detachable unit structure that connects to vehicle diagnostic ports, allowing easy addition and modification of diverse user-desired features.
Enables early anomaly detection and improves safety by acquiring and displaying real-time vehicle status data, facilitating external integration for prompt identification of malfunctions or abnormalities.
Substantially reduces development costs and time by utilizing a modular design that leverages existing vehicle interfaces, thereby cutting engineering effort for data linkage functions in new service development.
This patent protects a modular system comprising an adapter for vehicle diagnostic ports and detachable function units. Its strong claims, validated through a successful prosecution against prior art, provide a stable foundation for commercial deployment.
This patent primarily protects the modular adapter and unit interface for vehicle data access. White space exists in developing proprietary data analytics algorithms, advanced AI-driven predictive maintenance applications, or novel sensor integrations beyond the diagnostic port.
This technology could significantly reduce the development effort required for vehicle data linkage functions when developing new mobility services. For example, assuming a conventional development cost of 200 person-months at ~$6.5K/person-month (AI est.) per function, this technology could achieve a 25% reduction (50 person-months). For two new functions developed annually, this translates to a potential saving of ~$650K/year (AI est.). A conservative estimate is ~$350K/year (AI est.).
X: Function Expandability
Y: Development & Deployment Efficiency