Predictive PaaK Power Mode Transition for Latency Reduction
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Solution Overview
Problem
Conventional Phone-as-a-Key (PaaK) systems experience latency issues when transitioning from a low-power state to a higher power state due to delays in authenticating approaching mobile devices, leading to inefficiencies in vehicle operation.
Innovation Solution
A predictive analytical model is used to anticipate and schedule power mode transitions based on vehicle usage patterns and location data, allowing for preemptive switching to a higher power mode through messages sent from a server or mobile device, reducing latency and improving vehicle responsiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If the vehicle cycles to a low power mode after being parked for an extended period, then energy usage is minimized, but latency increases when the user needs to access the vehicle
Solution Approach 1:
The system performs preliminary actions by predicting when the user will need to access the vehicle and proactively transitioning from low power mode to a higher power mode in advance. This prediction is based on analyzing historical usage patterns, current time, location data, and other contextual factors. By preparing the system beforehand, the patent eliminates the latency that would otherwise occur when waking up from low power mode, thus resolving the contradiction between energy conservation and quick access.
2Loss of energy
If the vehicle waits for authentication signals before transitioning power modes, then energy efficiency is maintained, but user experience deteriorates due to delayed response
Solution Approach 1:
The system implements feedback by continuously monitoring various data sources including historical usage patterns, current time, location information, and environmental factors. This feedback loop enables the predictive model to accurately anticipate user needs and trigger appropriate power mode transitions. The feedback mechanism allows the system to balance energy efficiency with responsive user experience by making informed decisions about when to exit low power mode based on real and historical data.
Solution Approach 2:
By analyzing feedback data and predicting future user actions, the system takes preliminary action to transition power modes before the user actually attempts to access the vehicle. This proactive approach ensures the vehicle is ready for immediate use when needed, significantly improving user experience while maintaining energy efficiency by avoiding unnecessary frequent transitions.
3Speed
If the vehicle transitions to higher power mode immediately upon detecting a mobile device, then responsiveness is improved, but energy consumption increases
Solution Approach 1:
The system applies preliminary action by transitioning to higher power mode in advance based on predictions of user needs, rather than waiting for explicit authentication signals or immediate detection of mobile devices. This timing optimization ensures the vehicle is responsive when users actually need it, while avoiding unnecessary power mode transitions that would waste energy during periods when the vehicle is not needed.
Solution Approach 2:
The patent implements dynamics by making the power mode transitions adaptive and context-dependent rather than following a fixed rule. The system dynamically adjusts its behavior based on real-time data and historical patterns, transitioning power modes only when prediction algorithms indicate high probability of user need. This dynamic approach optimizes the balance between responsiveness and energy consumption by matching power mode changes to actual usage patterns.
Data Source
AI summary
A computer-implemented method includes predicting, via a predictive analytical model, a time interval associated with a future key-on event for a vehicle. The predictive analytical model is based at least in part on key-on event data. The method includes generating, based at least in part on the predicted time interval, a power mode instruction configured to cause a vehicle Telematics Control Unit (TCU) or Phone as a Key (PaaK) system to change a TCU state from a low energy state to a higher energy state, and transmitting, based on the predicted time interval, the power mode instruction to the vehicle TCU.