Cruise Control Speed Optimization via Road Gradient Analysis
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Solution Overview
Problem
Conventional cruise control systems fail to provide environmentally-friendly and economical driving methods, as they primarily rely on driver-established speeds without considering vehicle and road conditions, leading to inefficiencies in mileage and exhaust gas emissions.
Innovation Solution
A cruise control system and method that collect and analyze vehicle, road, and driver information to calculate an optimal drive speed, incorporating sensors and processors to formalize data and calculate a speed that maximizes mileage and minimizes exhaust gas emissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional cruise control systems maintain driver-established speed, then driver fatigue is reduced, but environmental friendliness and economic efficiency deteriorate due to ignored vehicle and road conditions
Solution Approach 1:
The system dynamically changes the speed parameter based on real-time analysis of vehicle state (engine load, fuel injection amount), road state (gradient, curvature), and drive pattern information. Instead of maintaining a fixed driver-established speed, the cruise control system continuously adjusts the target speed to optimize both driver comfort and environmental performance, resolving the contradiction between ease of operation and harmful emissions.
Solution Approach 2:
The system implements a feedback mechanism where the analyzing device continuously processes vehicle state information, road state information, and drive pattern information to determine actual mileage and exhaust gas emission amounts. This feedback loop enables the calculating device to adjust the cruise control speed dynamically, ensuring that the system maintains driver fatigue reduction while simultaneously improving environmental friendliness and economic efficiency.
2Reliability
If smart cruise control systems adjust speed to maintain distance from preceding vehicle, then collision safety is improved, but environmental friendliness and economic efficiency deteriorate due to reliance on driver-established speed only
Solution Approach 1:
The system extends parameter optimization beyond just maintaining safe distance. While the smart cruise control function adjusts speed to prevent collisions, this invention further optimizes the speed parameter by analyzing vehicle state, road state, and drive pattern information to minimize exhaust gas emissions and improve fuel economy, thus resolving the contradiction between safety and environmental performance.
Solution Approach 2:
The system integrates multiple functions into a single cruise control framework: collision prevention through distance maintenance, driver fatigue reduction through automated speed control, and environmental optimization through emissions-based speed adjustment. The analyzing device and calculating device work together to simultaneously achieve safety, comfort, and environmental friendliness, making the system universally beneficial across multiple performance dimensions.
3Device complexity
If cruise control systems use only driver-established speed, then system complexity is minimized, but mileage efficiency and exhaust gas emission performance deteriorate
Solution Approach 1:
The system segments the complex control task into distinct functional modules: a vehicle state information processing device for collecting and formalizing engine and vehicle data, a road state information processing device for gradient and curvature information, a drive pattern information processing device for driver behavior analysis, an analyzing device for calculating actual mileage and emissions, and a calculating device for determining optimal cruise control speed. This segmentation manages device complexity by organizing functions into separate processing units while achieving improved mileage efficiency.
Solution Approach 2:
The analyzing device acts as an intermediary between the data collection phase and the speed calculation phase. It processes vehicle state information, road state information, and drive pattern information to determine actual mileage and exhaust gas emission amounts, then provides this analyzed data to the calculating device. This intermediary structure enables sophisticated optimization without requiring direct complex interactions between all system components, thus managing overall system complexity while improving productivity.
Data Source
AI summary
Provided is a cruise control system and method. A vehicle cruise control system collects state information of components inside and outside a vehicle, state information of a road on which the vehicle is provided, and drive pattern information of a driver of the vehicle, analyzes a mileage amount and an exhaust gas emission amount of the vehicle based on the collected state information of the components, the road state information, and the drive pattern information, calculates a cruise control speed based on the analysis result, and controls the vehicle to run at the cruise control speed.