Engine Control Adaptation to Driving Patterns for Fuel Efficiency
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Solution Overview
Problem
Vehicles often have optimized fuel efficiency and exhaust gas levels under regulatory conditions, but individual driving patterns can lead to variations in fuel efficiency, resulting in suboptimal performance for specific drivers.
Innovation Solution
A method that calculates weighting factors based on a vehicle's driving pattern to determine optimal engine control for improved fuel efficiency without exceeding restricted exhaust gas levels, using a system that measures engine RPM, load, and speed to adjust engine operation regions and control fuel consumption and NOx emissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If vehicles are manufactured to have optimum fuel efficiency under governmental regulations, then fuel efficiency is optimized for standard conditions, but fuel efficiency varies and is not optimized for individual drivers with different driving patterns
Solution Approach 1:
The patent implements dynamic engine control that adapts to individual driving patterns by continuously monitoring driving behavior and adjusting engine parameters in real-time. The control system transitions from static factory optimization to dynamic personalization, allowing the engine to adapt its operation to each driver's specific patterns while maintaining compliance with exhaust regulations.
Solution Approach 2:
The system incorporates feedback mechanisms that monitor driving patterns and use this information to adjust engine control strategies. By analyzing accumulated driving data and comparing it against optimal parameters, the system continuously refines engine operation to match individual driver behaviors, thereby improving fuel efficiency for each specific driver while maintaining exhaust compliance.
2Use of energy by moving object
If engine control is optimized for fuel efficiency, then fuel consumption is reduced, but exhaust gas emissions may exceed restricted levels
Solution Approach 1:
The patent employs parameter changes by adjusting engine operating parameters such as injection timing, air-fuel ratio, and valve timing based on real-time driving conditions and accumulated driving pattern data. These dynamic parameter adjustments optimize fuel efficiency while simultaneously maintaining exhaust gas emissions within regulatory limits, resolving the trade-off between fuel consumption and emissions.
Solution Approach 2:
The control system dynamically adjusts engine parameters based on both current operating conditions and historical driving pattern data. This dynamic approach allows the system to optimize fuel efficiency for individual drivers while maintaining emissions compliance, as the parameters are continuously adapted rather than fixed at factory settings.
3Ease of manufacture
If standard engine optimization is applied to all vehicles, then manufacturing is simplified, but fuel efficiency does not account for individual driving behavior variations
Solution Approach 1:
The system implements self-service by enabling the vehicle to automatically learn and adapt to each driver's patterns without requiring manual intervention or complex manufacturing customization. The control system autonomously analyzes driving behavior and adjusts engine parameters accordingly, maintaining manufacturing simplicity while achieving personalized fuel efficiency optimization.
Solution Approach 2:
The patent applies preliminary action by pre-programming the capability for adaptive learning and pattern recognition into the engine control system during manufacturing. While the base system is manufactured using standard processes, the embedded software and sensors are pre-configured to automatically learn and adapt to individual driving patterns, combining manufacturing simplicity with personalized performance.
Data Source
AI summary
A method of improving fuel efficiency by analyzing a driving pattern of a vehicle may include: calculating weighting factors according to a driving pattern of the vehicle at coordinates, which are the ratios of weightings accumulated at the coordinates to the sum of the weightings accumulated at all coordinates in an engine operation region; calculating a reference fuel consumption ratio KFUEL and a reference NOx exhaust ratio KNOx using the weighting factors; determining whether the reference NOx exhaust ratio KNOx exceeds a predetermined comparative value; and controlling an engine to improve fuel efficiency when the reference NOx exhaust ratio KNOx is equal to or less than the predetermined comparative value.