Cluster-Based Vehicle Power Management
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Solution Overview
Problem
Current vehicles consume excessive electrical power for sensor data collection and processing, leading to increased fuel consumption and decreased battery life, as each vehicle duplicates sensor data collection efforts in close proximity, resulting in inefficient power management.
Innovation Solution
Implementing a cluster-based management system where vehicles collaborate to identify and eliminate duplicate sensor data collection, designating specific vehicles to capture and process non-duplicate data, and dynamically adjusting sensor data capture and processing tasks to optimize power consumption across the cluster.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If each vehicle independently collects and processes sensor data, then each vehicle has complete autonomous capability, but power consumption increases excessively
Solution Approach 1:
The patent merges sensor data collection and processing functions across multiple vehicles in a cluster. Instead of each vehicle independently collecting and processing all sensor data, vehicles share sensor data and coordinate processing tasks, reducing duplicate efforts and overall power consumption while maintaining autonomous capability through collaborative intelligence
Solution Approach 2:
The patent segments the sensor data processing workload across multiple vehicles in the cluster. Different vehicles are assigned different processing tasks based on their capabilities and current state, dividing the overall processing burden to reduce individual power consumption while maintaining collective autonomous functionality
2Quantity of substance
If vehicles in close proximity all collect sensor data, then each vehicle has redundant information, but duplicate data processing increases power consumption
Solution Approach 1:
The patent extracts and identifies duplicate sensor data from multiple vehicles in the cluster. By detecting redundant information across vehicles in close proximity, the system removes duplicate processing tasks, keeping only necessary unique data for processing while discarding redundant copies, thereby reducing power consumption
3Use of energy by moving object
If vehicles form a cluster to share data, then power consumption decreases, but system complexity increases
Solution Approach 1:
The patent implements dynamic cluster formation and dissolution based on vehicle proximity, data redundancy levels, and processing needs. The clustering configuration is not static but adapts in real-time to changing conditions, allowing the system to simplify or complexify operations dynamically to balance power savings with manageable system complexity
Data Source
AI summary
Cluster-based management of vehicle power consumption is provided. Electrical power consumption and processing power consumption of a vehicle is optimized by dynamically determining a cluster of vehicles for the vehicle to join based on input sensor data capturing functions, sensor data processing functions, communication functions, vehicle driving functions, and interior vehicle functions. In response to the vehicle joining the cluster of vehicles, an appropriate proportion of information the vehicle is to process is determined based on current input sensor data capturing functions, sensor data processing functions, and communication functions the vehicle is performing and current power consumption levels the vehicle is using, and current input sensor data capturing functions, sensor data processing functions, and communication functions other vehicles in the cluster of vehicles are performing and current power consumption levels the other vehicles in the cluster are using.