Vehicle Location Tracking During Propulsion Off State
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Solution Overview
Problem
Existing vehicle location tracking systems are inefficient in managing battery power when a vehicle is in a primary propulsion off state, as they continue to consume energy without adapting to movement or environmental factors, potentially leading to reduced monitoring time due to battery depletion.
Innovation Solution
A method that tracks a vehicle's location by determining an initial location when transitioning to a primary propulsion off state, monitoring for movement, and adjusting the location tracking process parameters based on vehicle activity, location classification, and traffic factors to optimize energy usage, allowing for periodic updates and reporting to a remote server while minimizing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous location tracking is performed while the vehicle is in primary propulsion off state, then location monitoring capability is maintained, but battery power is depleted faster
Solution Approach 1:
The system dynamically adjusts the location tracking frequency based on vehicle activity level and location classification. When the vehicle is stationary or in low-risk areas, tracking frequency is reduced to conserve battery power. When movement is detected or the vehicle is in high-risk areas, tracking frequency increases to maintain monitoring reliability.
Solution Approach 2:
The system changes operational parameters (tracking interval, reporting rate) based on environmental conditions and vehicle state. Parameters are adjusted according to location classification (e.g., urban vs. rural areas) and detected vehicle activity, allowing the system to optimize between monitoring effectiveness and power consumption.
2Reliability
If location tracking frequency is increased to ensure continuous monitoring, then monitoring reliability is improved, but battery life is reduced
Solution Approach 1:
Instead of continuous tracking, the system uses periodic location updates with variable intervals. The tracking frequency is adjusted periodically based on vehicle activity detection and location classification, performing comprehensive tracking only when necessary while using reduced-frequency checks during stable periods.
Solution Approach 2:
The system applies partial tracking action by reducing the intensity and frequency of location monitoring during low-risk periods while maintaining adequate surveillance capability. This partial action is sufficient for battery preservation while still providing reliable monitoring when needed, based on activity detection and location context.
3Measurement precision
If the vehicle location tracking process is carried out with high intensity, then tracking precision is improved, but energy consumption increases
Solution Approach 1:
The system applies different tracking intensities to different location contexts. High-precision frequent tracking is applied only when the vehicle is in classified high-risk areas or when activity is detected, while lower-precision less frequent tracking is used in safe, stable conditions. This local differentiation of quality optimizes energy use while maintaining necessary precision.
Data Source
AI summary
A system and method of tracking a location of a vehicle while the vehicle is in a primary propulsion off state. The method includes: obtaining an initial vehicle location of the vehicle; detecting a vehicle trigger condition while the vehicle is in the primary propulsion off state; determining whether the vehicle has moved more than a first predetermined threshold distance from the initial vehicle location while the vehicle is in the primary propulsion off state; determining a vehicle activity factor and a vehicle location classification factor; and when it is determined that the vehicle has moved more than the first predetermined threshold distance from the initial vehicle location, carrying out a vehicle location tracking process while the vehicle is in the primary propulsion off state based on the vehicle activity factor and the vehicle location classification factor.