Vehicle Driver Mentoring System for Fuel Efficiency
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Solution Overview
Problem
Modern vehicles lack feedback mechanisms to assist drivers in improving fuel efficiency, reducing emissions, and extending the life of consumables, despite providing information on instantaneous and average fuel efficiency.
Innovation Solution
A system and method for mentoring vehicle operators by receiving and processing vehicle operation data through an on-board diagnostic interface, identifying operator behavior affecting consumable wear or fuel efficiency, and providing feedback to improve driving habits, including acceleration, deceleration, and emissions monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If vehicle operators receive only basic fuel efficiency information (instantaneous and average), then the information display capability is maintained, but the driver behavior improvement and fuel consumption reduction are insufficient
Solution Approach 1:
The patent implements a comprehensive feedback system that provides drivers with real-time mentoring information about their driving behavior. The system analyzes multiple vehicle parameters (acceleration, deceleration, throttle position, gear selection, RPM) and delivers actionable feedback through visual, auditory, or haptic interfaces, enabling drivers to adjust their behavior to improve fuel efficiency and reduce emissions.
Solution Approach 2:
The system introduces an intermediary processing layer between the vehicle's onboard diagnostics and the driver. This intermediary analyzes raw vehicle data, compares it against optimal driving patterns, and translates it into meaningful mentoring feedback, bridging the gap between basic data collection and actionable driver guidance.
2Ease of operation
If comprehensive vehicle operation data is collected and processed, then driver mentoring capability is improved, but the system complexity and processing requirements increase
Solution Approach 1:
The patent segments the data processing function into distinct modules: data collection from multiple sensors, data validation and filtering, behavior pattern recognition, feedback generation, and delivery through multiple output channels. This modular approach manages complexity while maintaining comprehensive mentoring capabilities.
Solution Approach 2:
The system is designed to handle multiple vehicle parameters and provide multiple types of feedback through various interfaces (visual displays, auditory warnings, haptic feedback). This multi-functional design allows a single system to address diverse driving behaviors and provide comprehensive mentoring without requiring separate systems for each function.
3Loss of energy
If real-time feedback is provided to drivers, then fuel consumption and emissions are reduced, but the energy required for data processing and feedback delivery increases
Solution Approach 1:
The system dynamically adjusts feedback intensity and frequency based on driving conditions and driver response. During steady-state cruising, feedback is minimized to reduce processing energy, while during transient conditions requiring behavior change, feedback intensity increases. The system also adapts feedback based on learned driver patterns, providing targeted guidance only when needed.
Solution Approach 2:
The system leverages existing vehicle onboard diagnostics and sensor infrastructure to collect data, reducing the energy required for dedicated data collection. The processing system uses rule-based algorithms and pattern recognition that require minimal computational resources compared to machine learning approaches, and the feedback delivery utilizes existing vehicle communication networks and output interfaces.
Data Source
AI summary
A system and method for mentoring a driver of a vehicle can include a monitoring device in communication with an onboard diagnostics unit coupled to an engine, the monitoring device monitoring at least one of a plurality of vehicle parameters received from the onboard diagnostics unit including vehicle speed, fuel level, engine speed, load, mass air flow, manifold air pressure, and odometer reading, and using the at least one of a plurality of vehicle parameters to calculate a fuel efficiency and/or emissions of the engine; and an output coupled to the monitoring device, wherein the output notifies the driver when the fuel efficiency changes. The output can notify the driver when the fuel efficiency and/or emissions increases or decreases. The notification can be visual, audible, or a combination of the two.