Platoon Sensor Frequency Control for Power-Aware Safe Driving
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Solution Overview
Problem
Existing platoon control systems in intelligent driving face challenges with excessively high power consumption and inefficient use of computing resources due to fixed sensor operating frequencies, leading to suboptimal energy management.
Innovation Solution
A method and apparatus that dynamically adjust sensor operating frequencies based on current status data, using a classification model to determine optimal sensor configurations and potentially switch roles within the platoon to optimize power consumption and resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor operating frequency is kept high to ensure safe traveling, then reliability is improved, but power consumption increases
Solution Approach 1:
The patent implements dynamic adjustment of sensor operating frequencies based on real-time platoon status. The control device receives status data from multiple movable objects, determines target sensor configurations that balance safety requirements with power consumption, and delivers configuration data to adjust sensor frequencies dynamically. This resolves the contradiction by making sensor operation adaptive rather than fixed, ensuring high frequency only when necessary for safety while reducing frequency during low-risk periods.
Solution Approach 2:
The patent changes the operating parameter (frequency) of sensors based on platoon status conditions. By analyzing status data including positions, speeds, and environmental factors, the system determines optimal sensor frequencies that maintain safety while minimizing power consumption. This parameter adjustment directly addresses the contradiction by varying sensor activity levels according to actual safety needs rather than maintaining constant high-frequency operation.
2Use of energy by moving object
If sensor operating frequency is reduced to save power, then power consumption decreases, but measurement precision may deteriorate
Solution Approach 1:
The patent applies different sensor operating frequencies to different movable objects within the platoon based on their specific roles and status. Rather than uniformly reducing frequencies across all objects, the system identifies which objects require higher measurement precision (e.g., lead vehicles, vehicles with critical status) and maintains appropriate frequencies for those while reducing frequencies for others. This localized approach preserves measurement precision where needed while achieving power savings overall.
3Adaptability or versatility
If sensor operating frequency is adjusted dynamically, then adaptability improves, but device complexity increases
Solution Approach 1:
The patent combines multiple functions into the control device: receiving status data from movable objects, analyzing safety conditions, determining optimal sensor configurations, and delivering configuration data. By merging these control functions into a centralized device rather than distributing complexity to each movable object, the system achieves high adaptability while managing device complexity at the control level. The control device acts as a brain that handles the complex decision-making, while individual objects simply execute received configurations.
Data Source
AI summary
This application discloses a platoon control method and apparatus, and an intelligent driving device, and pertains to the field of intelligent driving technologies. In the method, the platoon control apparatus may adjust an operating frequency of a sensor on a movable object in a platoon based on current status data of the platoon, to flexibly adjust power consumption of the platoon based on the current status data, and avoid a problem of excessively high power consumption of the platoon in some scenarios. In addition, after the operating frequency of the sensor in the platoon is adjusted, for example, the operating frequency of the sensor is lowered, data collected by the sensor is reduced, and correspondingly, data that needs to be processed in the platoon is also reduced. This saves computing resources of the platoon.