Vehicle Parameter Sets for Sensor-Based Condition Adaptation
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Solution Overview
Problem
Existing vehicle configuration settings are not optimized for specific conditions, leading to inefficiencies and increased wear on components, which can significantly impact operational costs for enterprises with large fleets.
Innovation Solution
A configuration management system that selectively provides parameter sets to vehicles based on predicted or sensed conditions, allowing for supervised or autonomous adjustment of operational components to enhance efficiency and reduce wear.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If fixed configuration settings are used for all vehicles, then device complexity is reduced and ease of operation is improved, but vehicle efficiency and component durability deteriorate under varying conditions
Solution Approach 1:
The patent implements dynamic configuration parameters that automatically adjust based on real-time sensor data from vehicles. The system transitions from static, fixed configuration settings to dynamic, condition-based settings that adapt to varying operational conditions such as temperature, humidity, and vehicle usage patterns. This allows the system to optimize vehicle efficiency for each specific condition while managing complexity through automated rule-based adjustments.
Solution Approach 2:
The system changes configuration parameters based on sensed environmental and operational conditions. Different parameter sets are applied depending on conditions such as temperature ranges, humidity levels, and vehicle usage patterns. This enables optimization of vehicle performance for specific conditions (e.g., cold weather starting, hot weather operation) without requiring manual reconfiguration, thereby improving productivity while maintaining manageable system complexity through automated parameter selection.
2Reliability
If configuration settings are optimized for specific conditions, then vehicle efficiency and component life are improved, but the system requires more complex configuration management
Solution Approach 1:
The system implements self-service configuration management where vehicles automatically receive and apply appropriate configuration settings based on their sensed conditions. The configuration management system monitors vehicle status and environmental parameters, then automatically selects and applies the optimal parameter set without requiring manual intervention. This self-service approach improves component durability through condition-optimized settings while preventing the configuration management system from becoming overly complex by using automated rule-based decision-making.
Solution Approach 2:
The system uses feedback from vehicle sensors to continuously monitor operational conditions and adjust configuration parameters accordingly. Sensor data regarding temperature, humidity, and vehicle performance feeds back to the configuration management system, which then selects appropriate parameter sets to optimize component durability and vehicle efficiency. This closed-loop feedback mechanism enables reliable, condition-based optimization while maintaining manageable system complexity through automated adaptive control.
3Adaptability or versatility
If manual configuration adjustment is used, then adaptability to specific conditions is improved, but time consumption and operational efficiency deteriorate
Solution Approach 1:
The system performs preliminary configuration preparation by pre-defining multiple parameter sets optimized for different operational conditions (cold weather, hot weather, normal conditions). When a vehicle operates under specific conditions, the system automatically selects and applies the pre-prepared parameter set matching those conditions. This eliminates the need for manual configuration adjustment at the time of operation, thereby achieving condition-specific optimization without time loss, as the appropriate configuration is already prepared and ready for automatic application.
4Productivity
If fixed parameter sets are used across all vehicles, then ease of manufacture and deployment is improved, but operational efficiency under varying conditions deteriorates
Solution Approach 1:
The system implements a universal configuration management platform that serves multiple vehicles across different conditions through a single system architecture. The same configuration management system can simultaneously manage parameter sets for various vehicle types and operational conditions (cold weather, hot weather, normal conditions). This multi-functional approach enables fleet-wide operational efficiency optimization while maintaining ease of manufacture and deployment, as the universal system can be deployed across the entire fleet without requiring vehicle-specific customizations.
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.