Vehicle Parameter Sets Using Sensor Data for Usage-Specific Tuning
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Solution Overview
Problem
Existing vehicle configuration settings are not optimized for specific conditions of usage, leading to reduced efficiency and increased wear on components, which can substantially increase operational costs for enterprises with large vehicle fleets.
Innovation Solution
A configuration management system that selectively provides parameter sets to vehicles based on predicted or sensed conditions of usage, allowing for optimized operation of vehicles in various sub-fleets and environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single configuration setting is used for all vehicles regardless of usage conditions, then device complexity is reduced and ease of operation is improved, but vehicle efficiency decreases and component wear increases
Solution Approach 1:
The patent implements dynamic configuration settings that automatically adjust based on real-time sensor data and usage conditions. The system transitions from static, universal configuration to dynamic, condition-specific configuration, allowing vehicles to optimize performance for each operational context while maintaining manageable complexity through automated decision-making algorithms.
Solution Approach 2:
The system changes configuration parameters based on detected usage conditions. By monitoring sensor data and identifying patterns in vehicle operation, the system automatically adjusts configuration settings to match optimal parameters for specific usage scenarios, thereby improving efficiency without requiring manual intervention or complex user decisions.
2Reliability
If configuration settings are optimized for specific usage conditions, then vehicle efficiency and component durability improve, but the system complexity increases due to multiple parameter sets
Solution Approach 1:
The system employs self-service mechanisms where vehicles automatically monitor their own usage conditions through integrated sensors and autonomously select appropriate configuration settings. This self-diagnosis and self-configuration capability eliminates the need for external management of multiple parameter sets, reducing system complexity while maintaining optimized settings for component durability and reliability.
Solution Approach 2:
The patent implements feedback loops where sensor data from vehicle operation continuously informs configuration decisions. The system monitors usage patterns, compares them against optimal conditions, and automatically adjusts configuration parameters accordingly. This closed-loop feedback mechanism ensures components operate under optimal conditions for durability while keeping the management system simple through automated real-time adjustments.
3Productivity
If universal configuration settings are used across all vehicles, then ease of manufacture and deployment is improved, but operational costs increase due to reduced efficiency
Solution Approach 1:
The system performs preliminary actions by pre-configuring vehicles with the capability to automatically adapt to different usage conditions. Rather than requiring manual configuration for each vehicle during deployment, the system is pre-loaded with configuration management software and sensor integration, enabling automatic optimization from first use. This preliminary setup simplifies initial deployment while enabling ongoing operational efficiency improvements.
Data Source
AI summary
In some examples, a controller receives measurement data from a sensor on a vehicle, determines, based on the measurement data, a condition of usage of the vehicle, and selects a parameter set from among a plurality of parameter sets based on the determined condition of usage of the vehicle, the plurality of parameter sets corresponding to different conditions of usage of the vehicle, where each parameter set of the plurality of parameter sets includes one or more parameters that control adjustment of one or more respective adjustable elements of the vehicle. The controller causes application of the selected parameter set on the vehicle.