Powertrain Control System Optimizing Speed Trajectories
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing powertrain control systems face challenges in optimizing efficiency during speed changes, leading to increased emissions and reduced fuel economy, particularly in managing distance-dependent and independent speed values within a horizon window.
Innovation Solution
A powertrain control system that processes data from sensors and vehicle modules to build and adjust speed trajectory profiles, applying filters to limit acceleration and deceleration rates based on road grade and vehicle characteristics, optimizing efficiency by favoring distance-dependent or independent speed values in different segments of the horizon window.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the powertrain control system uses traditional speed control methods, then the system is simple to operate, but fuel economy is reduced and emissions increase
Solution Approach 1:
The system performs preliminary actions by predicting future speed trajectory and identifying optimal speed change regions before actual speed changes occur. The controller proactively adjusts throttle and brake controls in advance to optimize efficiency, rather than reacting to current speed conditions alone. This allows the system to anticipate and prepare for efficiency-optimizing maneuvers.
Solution Approach 2:
The control system dynamically adapts by continuously adjusting control strategies based on real-time speed trajectory predictions and actual vehicle conditions. The system modifies throttle and brake control signals dynamically across different speed change regions, transitioning between acceleration and deceleration phases to maximize fuel economy while responding to changing driving conditions.
2Object-generated harmful factors
If the system optimizes speed changes to improve fuel economy, then emissions are reduced, but the control complexity increases
Solution Approach 1:
The speed trajectory is segmented into distinct speed change regions including acceleration phases, deceleration phases, and coasting phases. Each region is controlled with optimized strategies tailored to its specific characteristics. This segmentation allows the system to manage emissions reduction through phase-specific control while organizing the complexity into manageable segments rather than treating the entire trajectory uniformly.
Solution Approach 2:
The system changes control parameters such as throttle position and brake application timing based on the predicted speed trajectory and identified speed change regions. By adjusting these parameters proactively according to the optimized speed profile, the system reduces emissions through efficient powertrain operation while using parameter changes as a controlled mechanism to manage system complexity.
3Use of energy by moving object
If the system adjusts speed profiles strategically based on distance and road conditions, then powertrain efficiency is enhanced, but the processing complexity increases
Solution Approach 1:
The system performs preliminary processing by building predicted speed trajectories and identifying speed change regions in advance, before actual speed adjustments are needed. This upfront analysis of distance and road conditions allows the controller to prepare optimized control strategies, reducing the real-time processing burden while maintaining high powertrain efficiency through pre-computed optimal paths.
Solution Approach 2:
The horizon window is divided into multiple distance segments, with different processing priorities assigned to each segment based on distance from the vehicle. This segmentation allows the system to focus computational resources on near-term critical decisions while using simplified models for distant segments, thereby enhancing powertrain efficiency through strategic processing without overwhelming computational complexity.
Data Source
AI summary
A system and method are provided for operating a powertrain control system. The method includes receiving data measured from a plurality of sensors, the measured data relating to distance dependent speed values, and receiving information from one or more vehicle modules, the vehicle module information relating to distance independent speed values. The method further includes building a speed trajectory profile for a horizon window that includes a plurality of speed change regions represented by at least some distance dependent speed values or at least some distance independent speed values, and creating a synthesized speed profile for the horizon window by processing the speed trajectory profile. The synthesized speed profile optimizes efficiency of the powertrain control system at each of the plurality of speed change regions.