Vehicle Control System Mode Switching for Fuel and Adhesion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle trip plans often fail to adapt to changing conditions such as speed limitations and stop locations, leading to inefficiencies in fuel consumption, emissions, and handling, as they prioritize fuel efficiency over other objectives like fine motor control and wheel adhesion at slower speeds.
Innovation Solution
A control system with a controller and sensors that switches between operating modes based on speed or proximity to designated locations, adjusting operational settings to prioritize either fuel efficiency and emissions reduction at higher speeds or fine motor control and wheel adhesion at slower speeds to achieve multiple objectives along a route.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the vehicle system follows a trip plan prioritizing fuel efficiency at higher speeds, then fuel consumption is reduced, but the system fails to adapt to slower speed conditions near stop locations where fine motor control and wheel adhesion are more critical
Solution Approach 1:
The control system dynamically switches between different operating modes (first mode for fuel efficiency at higher speeds, second mode for fine motor control at lower speeds) based on real-time speed conditions. This dynamic adaptation allows the system to optimize for fuel consumption during cruising while maintaining wheel adhesion and control precision during deceleration and stopping phases near designated locations.
Solution Approach 2:
The system changes operational parameters by switching between different control modes that prioritize different objectives. In the first mode, parameters are optimized for fuel efficiency, while in the second mode, parameters are adjusted to prioritize wheel adhesion and fine motor control. This parameter transformation enables the system to address both fuel consumption and adaptability requirements across varying speed conditions.
2Object-generated harmful factors
If the vehicle system prioritizes fuel efficiency during travel, then emissions generation is reduced, but the system cannot maintain fine motor control and wheel adhesion at slower speeds near stop locations
Solution Approach 1:
The control system dynamically adjusts its operational characteristics by switching between two modes: a first mode that minimizes emissions during higher speed travel, and a second mode that ensures reliable fine motor control and wheel adhesion during lower speed operations near stop locations. This dynamic switching resolves the contradiction between emissions reduction and control reliability.
Solution Approach 2:
The system transforms its operational parameters by changing control objectives based on speed conditions. During higher speeds, parameters are set to reduce emissions, while during lower speeds near stops, parameters are reconfigured to prioritize motor control precision and wheel adhesion, thereby achieving both emissions reduction and control reliability at appropriate times.
3Device complexity
If the vehicle system follows a single trip plan for the entire route, then the control system is simpler to implement, but it cannot adapt to changing conditions such as speed limitations and stop locations that require different objectives at different times
Solution Approach 1:
The trip plan is segmented into distinct operational modes rather than using a single unified control strategy. The route is divided into segments where the first mode applies during higher speed travel between stop locations, and the second mode applies during deceleration and stopping phases. This segmentation allows the system to adapt to changing conditions while maintaining manageable control complexity through clear mode transitions.
Solution Approach 2:
Rather than implementing a complex static trip plan that attempts to optimize all conditions simultaneously, the system uses dynamic mode switching to adapt to changing route conditions. This dynamic approach simplifies the control architecture by using two relatively simple modes that can be transitioned between based on real-time speed and location conditions, achieving adaptability without excessive complexity.
Data Source
AI summary
A system (e.g., a control system) includes a sensor configured to monitor an operating condition of a vehicle system during movement of the vehicle system along a route. The system also includes a controller configured to designate one or more operational settings for the vehicle system as a function of time and/or distance along the route.