Vehicle Fuel Efficiency Evaluation via Driving Event Feedback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for monitoring vehicle fuel consumption fail to provide adequate feedback to drivers on their performance and do not effectively link individual driving events with fuel consumption, limiting the potential for improving fuel efficiency.
Innovation Solution
A system that collects data from vehicle sensors to identify and evaluate driving events such as braking, accelerating, and gear shifting, providing real-time feedback to drivers on their fuel consumption efficiency, taking into account location, time, and environmental conditions, and offering recommendations for improvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time fuel consumption monitoring is implemented using telemetry and fuel efficiency models, then fuel efficiency determination is improved, but system complexity and data processing requirements increase
Solution Approach 1:
The system provides real-time feedback to drivers about their fuel consumption efficiency by comparing actual fuel usage with expected fuel consumption based on driving conditions. This feedback loop enables drivers to adjust their driving behavior immediately, improving fuel efficiency measurement accuracy while maintaining manageable system complexity through automated comparisons.
Solution Approach 2:
A server acts as an intermediary between vehicles and drivers, receiving telemetry data, processing it through fuel efficiency models, and returning actionable insights. This intermediary approach centralizes complex data processing tasks, reducing the computational burden on individual vehicle systems while maintaining high measurement precision.
2Loss of information
If detailed driving event data is collected and analyzed to provide personalized feedback, then driver performance evaluation is improved, but information processing requirements and system complexity increase
Solution Approach 1:
The system segments driving behavior into discrete, identifiable events such as acceleration events, braking events, and idling periods. Each event type is analyzed separately with specific metrics, allowing detailed driver performance evaluation without overwhelming data processing requirements. This segmentation enables focused feedback on specific behavioral patterns.
Solution Approach 2:
The system transforms raw driving event data into meaningful performance parameters by comparing actual fuel consumption against expected consumption for each event type. This parameter transformation converts complex multi-dimensional data into actionable metrics that are easy to understand and act upon, reducing information loss while maintaining manageable complexity.
3Measurement precision
If comprehensive sensor data is collected to evaluate individual driving events' impact on fuel consumption, then evaluation accuracy is improved, but energy consumption and data transmission requirements increase
Solution Approach 1:
The system pre-processes sensor data locally in the vehicle, identifying and categorizing driving events as they occur. By performing preliminary analysis onboard, the system reduces the volume of raw data that needs to be transmitted to the server, thereby reducing communication energy consumption while maintaining high evaluation accuracy through immediate event detection.
Data Source
AI summary
A method is provided for evaluating fuel consumption efficiency of a vehicle driven by a driver. The method comprises the steps of: a) collecting data associated with said driver's driving performance from a plurality of sensors comprised in the vehicle; b) identifying a plurality of driving events based on the collected data; c) estimating the driver's performance in at least one driving event from among the identified plurality of driving events, wherein that at least one event if poorly performed is associated with increased fuel consumption; and d) based on the estimated driver's performance of the at least one driving event, evaluating a fuel consumption efficiency of the vehicle driven by that driver.