Vehicle Control System Dynamic Parameter Optimization
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Solution Overview
Problem
Current vehicle management systems lack the ability to dynamically optimize the operation of hybrid and alternative fuel vehicles post-sale, leading to inefficiencies in energy conservation and performance, as they rely on static control strategies not adjustable by manufacturers or users.
Innovation Solution
A computing device-based system that collects and processes information from vehicles to produce customizable control parameters, optimizing the interaction between alternative and conventional fuel sources, such as electric and combustion engines, through regenerative braking and strategic charging, using network architectures and wireless communication to enhance energy efficiency and vehicle performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If static control strategies are used in vehicle management systems, then system simplicity is maintained, but energy conservation and vehicle performance cannot be optimized
Solution Approach 1:
The patent implements dynamic control strategies that continuously adapt to real-time vehicle operating conditions. The system collects data from multiple sensors monitoring engine parameters, fuel consumption, and vehicle performance, then dynamically adjusts control parameters to optimize energy conservation and performance based on current operational state
Solution Approach 2:
The system incorporates feedback mechanisms where performance data from vehicles is collected, analyzed, and used to generate updated control strategies. These strategies are then fed back to vehicles to improve their operation, creating a continuous optimization loop that enhances energy conservation while managing system complexity through iterative improvement
2Adaptability or versatility
If real-time data collection and processing from multiple vehicles is implemented, then control strategies can be optimized, but information management complexity increases
Solution Approach 1:
The patent creates a universal information management platform that handles multiple functions: collecting data from various vehicle types, processing diverse information formats, generating optimized control strategies, and distributing updates across the fleet. This multi-functional system manages information complexity through standardized protocols and centralized processing
Solution Approach 2:
The system introduces an intermediary processing layer between data collection and control strategy implementation. This intermediary analyzes raw vehicle data, identifies optimization opportunities, and translates findings into actionable control parameters, thereby managing information complexity while maintaining high adaptability of control strategies
3Loss of energy
If dynamic optimization of vehicle operations is implemented, then fuel consumption is reduced, but system implementation complexity increases
Solution Approach 1:
The patent optimizes fuel consumption by dynamically changing operational parameters such as engine timing, fuel injection rates, and transmission shift points based on real-time conditions. The system monitors multiple parameters simultaneously and adjusts them in coordination to maximize energy efficiency while managing implementation complexity through integrated control algorithms
Data Source
AI summary
A system includes a computing device for receiving information representative of activities of an operating first vehicle that includes a propulsion system. The computing device is configured to produce one or more control parameters from the received information in combination with information received from other vehicles, and, provide the one or more control parameters to control operations of a second vehicle.