Vehicle Sailing Control History Classification for Fuel Efficiency
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Solution Overview
Problem
The existing control methods for sailing and idle stop controls in vehicles face challenges in accurately assessing failure rates, leading to potential worsening of fuel efficiency due to diverse cancelation factors, including driver operations and system requirements, which are not accurately reflected when solely based on engine stop time.
Innovation Solution
A method is implemented where sailing control history is stored and classified based on specific situations of cancelation, including driver operations and system requirements, allowing for more accurate assessment and decision-making on whether to allow or disallow sailing control, using a controller that integrates navigation, communication, and sensor data to determine the current travel situation and corresponding history information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If sailing control is executed based solely on engine stop time assessment, then the control system is simple, but the accuracy of failure rate assessment declines due to diverse cancelation factors
Solution Approach 1:
The patent segments the assessment of sailing control failure by classifying different cancelation factors into distinct categories (driver operations, system requirements, road status). Instead of using a single unified assessment metric based only on engine stop time, the system divides the evaluation into multiple dimensions, storing history information separately for each type of cancelation factor. This segmentation allows for more precise assessment of failure rates by considering the specific context in which sailing control was canceled.
2Measurement precision
If history information is classified by cancelation situations, then the accuracy of failure assessment improves, but the device complexity increases
Solution Approach 1:
The patent adds a new dimension to the history information storage by introducing classification based on cancelation factors. Instead of storing only the duration of engine stop as a single-dimensional metric, the system creates a multi-dimensional storage structure that includes the type of cancelation factor (driver operation, system requirement, road status). This dimensional expansion enables more accurate failure rate assessment while managing complexity through structured classification.
Solution Approach 2:
The system performs preliminary classification of cancelation factors before assessing failure rates. By pre-categorizing the reasons for sailing control cancellation into distinct types (driver operations, system requirements, road status), the system prepares the data in advance for more accurate analysis. This preliminary action allows the assessment to focus on relevant factors rather than processing all possible variations, thereby improving accuracy without proportionally increasing complexity.
3Ease of operation
If sailing control is allowed without accurate history assessment, then the ease of operation is high, but fuel efficiency may worsen due to short engine stop duration
Solution Approach 1:
The patent implements a feedback mechanism that uses history information about previous sailing control outcomes to inform future control decisions. By storing and analyzing past performance data classified by cancelation factors, the system learns from previous experiences and adjusts its sailing control execution accordingly. This feedback loop ensures that sailing control is allowed only when historical data indicates a high probability of achieving sufficient engine stop duration, thereby preventing fuel efficiency deterioration while maintaining operational simplicity.
Data Source
AI summary
A vehicle control method for controlling a vehicle in which a sailing control for traveling under inertia is executed when a vehicle is traveling. Each time the sailing control is executed, a history of sailing control is stored as history information classified according to situations in which sailing control was canceled. Also, a current travel situation is specified, history information corresponding to a current travel situation is specified from the stored history information, and whether to allow or disallow sailing control is determined based on the specified history information.