Vehicle Driving Pattern Analysis for Engine Control Adaptation
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Solution Overview
Problem
Existing methods fail to effectively address engine issues caused by driver habits, such as reduced fuel efficiency, frequent DPF, SOX, or NOX regeneration, and damage to turbochargers or EGR valves, by passively controlling engine variables without considering individual driving patterns.
Innovation Solution
A method and apparatus that analyze a vehicle's driving pattern using an algorithm to digitize engine operating states, calculating weightings and weighting factors based on engine rpm, load, and gear stages, allowing for active control to optimize engine performance and prevent damage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If engine control variables are limited to avoid operating regions, then engine reliability is improved, but driving adaptability deteriorates
Solution Approach 1:
The patent implements dynamic engine control by continuously monitoring driving patterns and adjusting control variables in real-time based on the driver's behavior characteristics. The system transitions from static control limits to dynamic adaptation, where control parameters are modified according to the analyzed driving pattern, thereby maintaining reliability while improving adaptability to individual drivers.
Solution Approach 2:
The system changes control parameters based on driving pattern analysis results. By calculating weighting factors from measured driving data and comparing them against threshold values, the system dynamically adjusts engine control variables to match the driver's behavior, resolving the contradiction between maintaining reliable operation and adapting to different driving styles.
2Reliability
If passive control method is used to avoid operating regions, then engine damage is prevented, but fuel efficiency deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where driving patterns are continuously measured, analyzed, and used to adjust engine control. The system calculates weighting factors from driving data and uses these to dynamically modify control variables, creating a closed-loop system that optimizes fuel efficiency while preventing engine damage through adaptive rather than passive control.
Solution Approach 2:
The system replaces passive static control with active dynamic control that adapts to the driver's behavior. By continuously analyzing driving patterns and adjusting control parameters in real-time, the system optimizes fuel efficiency for each driver's style while maintaining engine protection, eliminating the need for restrictive passive control limits.
3Adaptability or versatility
If individual driving pattern analysis is implemented, then driving adaptability is improved, but device complexity increases
Solution Approach 1:
The patent segments the driving pattern analysis into distinct measurable parameters (engine rpm, engine load, vehicle speed, gear stage) and processes each separately. The system divides the complex task of driving pattern analysis into manageable components, calculating weighting factors for each parameter independently before synthesizing the overall driving pattern, thereby reducing system complexity while maintaining adaptability.
Solution Approach 2:
The system uses the vehicle's existing sensors and control units to collect and process driving data, leveraging available resources rather than requiring entirely new hardware. By utilizing existing engine control variables and standard vehicle sensors, the system implements driving pattern analysis with minimal additional complexity while achieving individualized adaptation.
Data Source
AI summary
A method for analyzing a driving pattern of a vehicle includes setting a driving pattern measurement condition, measuring a driving pattern, deducing an engine operating region for the measured driving pattern from an engine control map, calculating each weighting determined according to a distance from the measured driving pattern to each vertex of the engine operating region, accumulating each calculated weighting for each coordinate of the engine operating region, determining whether a current measurement condition departs from the set measurement condition, and calculating a weighting factor for each coordinate under the set measurement condition when the current measurement condition departs from the set measurement condition, wherein, in the step of deducing an engine operating region, the engine operating region refers to a virtual block defined by four vertex coordinates of a pixel, in which the measured driving pattern is present, in the engine control map.