Vehicle Driving Mode Control via Road Prediction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Vehicles react slowly to sudden acceleration demands when entering highways, as conventional driving modes (normal and eco-mode) do not adequately consider the need for increased acceleration, causing inconvenience for drivers who must manually switch between modes.
Innovation Solution
A device and method that collect position and road information to predict when a vehicle is entering an acceleration section, automatically switching the driving mode from normal or eco-mode to sports mode based on the driver's tendency and traffic flow, ensuring better acceleration performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the vehicle operates in normal mode or eco-mode on highways, then fuel consumption is reduced, but acceleration performance becomes insufficient for merging into traffic flow
Solution Approach 1:
The system dynamically switches between driving modes (normal, eco, sports) based on real-time detection of highway entry and traffic conditions. The controller automatically transitions from fuel-efficient modes to sports mode when highway entry is detected, providing optimal acceleration performance only when needed, then returns to normal mode after merging is complete.
Solution Approach 2:
The system changes operational parameters by switching driving modes. When highway entry is detected via position information and forward road information, the controller changes the driving mode parameter from normal/eco to sports mode, which adjusts engine torque response and transmission shift patterns to provide better acceleration performance for merging.
2Speed
If the driver manually switches to sports mode to improve acceleration, then acceleration performance improves, but driving convenience deteriorates due to button manipulation requirements
Solution Approach 1:
The system performs self-service by automatically detecting highway entry through position information collection and forward road information analysis, then autonomously switching to sports mode without requiring driver intervention. The controller monitors traffic flow conditions and automatically manages mode transitions, eliminating the need for manual button manipulation while ensuring optimal acceleration performance is available when needed.
Solution Approach 2:
The system uses feedback from position information, forward road information, and traffic flow data to automatically determine when sports mode should be activated. The controller continuously monitors these parameters and adjusts the driving mode accordingly, providing a closed-loop control system that responds to actual driving conditions without driver input.
3Use of energy by moving object
If the driver switches back to normal mode after joining the highway, then fuel efficiency improves, but the process becomes inconvenient due to repeated manual mode changes
Solution Approach 1:
The system automatically manages the transition back to normal mode after the vehicle has successfully merged into highway traffic flow. The controller monitors position information and determines when the merging maneuver is complete, then autonomously switches from sports mode back to normal mode, eliminating the need for manual driver intervention and saving time on mode switching operations.
Solution Approach 2:
The system performs preliminary detection of highway entry conditions using position information and forward road information before the driver would need to manually switch modes. By anticipating the need for acceleration and automatically switching to sports mode in advance, the system eliminates the time loss associated with manual mode changes while maintaining fuel efficiency when sports mode is not needed.
Data Source
AI summary
A method for controlling a driving mode of a vehicle using a device for controlling a driving mode is provided. The method includes collecting position information and forward road information of the vehicle and predicting whether the vehicle enters an acceleration section requiring acceleration by using the collected position information and forward road information of the vehicle. A driving mode of the vehicle is then changed when the vehicle is predicted to enter the acceleration section.