Terrain-Adaptive Gear Shift Curves for Slope-Varying Vehicles
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Solution Overview
Problem
Existing vehicle gear shift schedules are inflexible and cannot adapt to frequent changes in road slopes, leading to suboptimal performance on varying terrains.
Innovation Solution
A terrain-based dynamic gear shift control method that generates a gear shift strategy curve in real time using current terrain information, combining economic and dynamic gear shift strategies through dynamic interpolation fusion, allowing for continuous gear adjustments based on slope changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed gear shift schedules are used, then the control system is simple and reliable, but the system cannot adapt to frequent changes in road slopes
Solution Approach 1:
The patent implements dynamic gear shift schedules that automatically adjust based on real-time terrain information from electronic horizon systems. The control system transitions from static fixed schedules to dynamic adaptive schedules that continuously optimize gear selection according to actual road conditions, resolving the contradiction between adaptability and complexity
Solution Approach 2:
The system incorporates feedback mechanisms by continuously acquiring terrain information from electronic horizon systems and using this data to adjust gear shift decisions. The control system monitors actual terrain conditions and modifies gear shift timing accordingly, enabling adaptive behavior while maintaining manageable complexity through structured feedback loops
2Ease of operation
If manual gear shift selection is required, then precise control is achieved, but user convenience deteriorates due to frequent manual selections
Solution Approach 1:
The system implements self-service by automatically selecting optimal gear shift timing based on terrain information without requiring manual user input. The electronic horizon system continuously provides terrain data, and the control system autonomously processes this information to make gear shift decisions, eliminating the need for frequent manual selections while maintaining operational precision
Solution Approach 2:
The patent introduces an intermediary automated control system that bridges the gap between terrain information and gear shift execution. This intermediary layer processes terrain data from electronic horizon systems and translates it into appropriate gear shift commands, relieving the user of direct terrain analysis while maintaining precise control
3Productivity
If discrete gear shift strategies are used for different slopes, then the control logic is simple, but the gear shift smoothness deteriorates
Solution Approach 1:
The patent transitions from discrete static gear shift strategies to continuous dynamic strategies that smoothly adapt to varying terrain conditions. The system uses continuous terrain angle data to dynamically determine optimal gear shift points, eliminating abrupt transitions between discrete strategies and improving gear shift smoothness while maintaining responsive efficiency
Solution Approach 2:
The system changes the parameter basis for gear shift decisions from discrete slope categories to continuous terrain angle measurements. By using continuous angular data from electronic horizon systems, the control system can smoothly adjust gear shift timing across the full range of terrain conditions, improving both responsiveness and smoothness simultaneously
Data Source
AI summary
The present disclosure discloses a terrain based dynamic gear shift control method and system for a vehicle. The method includes: during running of a vehicle, obtaining a current terrain; according to the current terrain, the economic gear shift strategy, and the dynamic gear shift strategy, generating a current gear shift strategy curve; and according to the current gear shift strategy curve, controlling a transmission to perform gear shift. The present disclosure can make the vehicle have wider adaptability, and achieve a better dynamic balance between economy and dynamic performance.