Vehicle Powertrain Control for Anticipated Route Changes
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Solution Overview
Problem
Existing predictive control systems for medium-duty and heavy-duty vehicles often fail to accurately adjust driving strategies when the actual road section differs from the predicted one, leading to inappropriate gear selection and potential safety and efficiency issues.
Innovation Solution
A method and control arrangement that adjusts the predicted route based on driver-initiated indicators, determines a suitable driving strategy for the new route, and controls the powertrain accordingly, incorporating data from navigation and historical routes to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the driving strategy is frequently reevaluated to adapt to route changes, then the adaptability improves, but the response delay increases and negatively impacts vehicle operation
Solution Approach 1:
The system performs preliminary route prediction by analyzing driver-initiated indicators (steering wheel angle, lateral velocity, brake pressure) to anticipate upcoming route changes before the vehicle actually deviates from the current path. This allows the driving strategy to be adjusted in advance, eliminating the time delay associated with waiting for actual route deviation detection.
Solution Approach 2:
The system dynamically adjusts the predicted route based on real-time driver behavior indicators. By continuously monitoring steering wheel angle, lateral velocity, and brake pressure, the system adapts the route prediction to match the driver's actual intentions, enabling timely and accurate driving strategy adjustments without unnecessary delays.
2Stability of the object's composition
If the vehicle continues on the originally predicted route, then the driving strategy remains stable, but the strategy becomes inappropriate when the actual route deviates
Solution Approach 1:
The system uses driver-initiated indicators (steering wheel angle, lateral velocity, brake pressure) as feedback signals to detect when the driver intends to deviate from the predicted route. This feedback mechanism triggers a recalculation of the predicted route and subsequent adjustment of the driving strategy, ensuring the strategy remains suitable for the actual route being taken.
Solution Approach 2:
The system automatically detects route deviation intentions through monitoring driver inputs and self-corrects the predicted route and driving strategy without requiring external intervention. The control arrangement autonomously adjusts the driving strategy based on the detected driver intentions and updated route prediction, maintaining both stability and reliability.
Data Source
AI summary
A control arrangement and a method for controlling a powertrain of a medium-duty or heavy-duty vehicle. The method includes a step of, in response to one or more driver-initiated indicators, adjusting a currently predicted route for the vehicle to a new predicted route, said new predicted route being predicted in consideration of information related to the one or more driver-initiated indicators. The method further includes a step of, determining a driving strategy for an upcoming road section of the new predicted route based on characteristics of said upcoming road section. Moreover, the method includes a step of controlling the powertrain in accordance with said determined driving strategy.