Adaptive Shift Stage Control for Automatic D to N Transition
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Solution Overview
Problem
Current electronic shift systems lack functionality to improve fuel efficiency and driver convenience beyond automatic engagement to Park or Neutral stages, failing to adapt to driver habits for optimized shifting.
Innovation Solution
A method and system that utilize a shift stage sensing device, driving and stopping sensing device, and shift stage controlling device to learn and automatically shift from Drive to Neutral stages based on driver habits by measuring and storing shifting times, enabling adaptive and efficient shifting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automatic shift control is added to learn and adapt to driver habits, then driver convenience and fuel efficiency are improved, but device complexity increases
Solution Approach 1:
The electronic shift controlling device performs multiple functions: it controls shift stage engagement, learns driver habits by detecting shift patterns, stores shifting time data, and automatically shifts based on learned behavior. This multi-functionality allows a single device to improve driver convenience without requiring separate dedicated hardware systems.
Solution Approach 2:
The system implements feedback by detecting actual driver shift operations through the shift stage sensing device, storing the detected shifting times, and using this information to automatically shift the transmission in subsequent operations. This feedback loop enables the system to adapt to driver habits while maintaining simplicity through existing sensor infrastructure.
2Loss of energy
If shift stage is automatically shifted from D to N stage based on learned driver habits, then fuel efficiency is improved, but loss of time in learning and adapting occurs
Solution Approach 1:
The system performs preliminary learning actions by detecting and storing driver shift patterns during normal operation. This preliminary data collection occurs in the background without requiring dedicated learning sessions, allowing the system to prepare the learned information for immediate application in automatic shift control, thus minimizing time loss.
Solution Approach 2:
The system implements periodic learning by continuously detecting shift operations and updating the stored shifting time information. This periodic data collection and update mechanism allows the system to progressively improve fuel efficiency through learned habits while spreading the learning process over time rather than requiring a集中的 learning period.
Data Source
AI summary
A method for automatically controlling a shift stage may include a shift stage check operation of detecting a position of the shift stage of a vehicle, a driving and stopping sensing operation, of detecting driving state information of the vehicle to determine whether the vehicle is in a driving or a stopping condition, a learning preparing operation, of identifying whether the shift stage is shifted from a D stage to an N stage when it is determined that the shift stage enters the stopping condition at the D stage, a learning operation, of measuring a shifting time from when the shift stage enters the stopping condition at the D stage to when the shift stage is shifted to the N stage, and a learning execution operation, of automatically shifting the shift stage from the D stage to the N stage in the stored shifting time.