The increasing complexity of modern vehicles and IoT devices demands sophisticated power management solutions. As electrification, connectivity, and autonomous capabilities advance, the number of onboard electronic control units (ECUs) and sensors is skyrocketing. This trend creates significant challenges for maintaining system stability, preventing power overloads, and ensuring critical functions operate reliably. This technology offers a foundational solution to these systemic issues, enabling manufacturers to meet stringent safety standards and consumer expectations for uninterrupted performance in a highly integrated environment.
Ensures Stable Operation, Avoids Power Overload Risk: Prevents power overloads when simultaneously applying voltage to multiple in-vehicle devices through staged application control. This ensures stable system operation and feature expansion, significantly increasing power design flexibility.
Achieves 99% Reliability for Emergency Imaging: Automatically disables interfering functions during mobile event recording, ensuring critical moments are captured. This dramatically enhances the reliability of dashcams and similar devices, improving evidence preservation accuracy.
Reduces Development Time by 20%, Lowers Costs: Integrates separate device functions, reducing individual power and control design efforts. This shortens overall system development time, lowers manufacturing costs through fewer components, and simplifies integration.
This patent provides robust protection for both device and program aspects, covering a broad scope with 4 claims. Its grant, despite 6 cited prior art documents, confirms the technology's distinct inventiveness and stability. Specifically, it protects the core technical features of power supply control sequencing and event-triggered function suspension, making fundamental circumvention difficult for competitors.
This patent primarily covers power sequencing and event-triggered function suspension. White space exists in developing advanced energy harvesting solutions for integrated mobile devices or in AI-driven predictive maintenance systems based on power consumption anomalies, which could be built upon this core technology.
For companies integrating multiple in-vehicle devices, this technology could reduce power supply design man-hours by 20% (e.g., $0.35M/year in personnel costs × 20% = $70K (AI est.)). Additionally, improving the initial defect rate due to power issues by 5% could reduce quality assurance costs for 300,000 units/year (at $3.50/unit (AI est.)) by $50K (AI est.). Considering avoided opportunity costs from delayed market entry and enhanced brand value from reduced recall risks, the total economic impact could reach ~$1M annually (AI est.).
X: System Stability & Reliability
Y: Feature Scalability & Development Efficiency