Engine Start Threshold Adaptation for Low-Benefit Hybrid Starts
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Solution Overview
Problem
Hybrid vehicles experience frequent low benefit engine starts due to aggressive driver behavior, leading to inefficient fuel consumption and engine operation.
Innovation Solution
Adjusting automatic engine starting thresholds in response to a plurality of low benefit engine starts, by increasing the threshold time for driver demand torque exceeding a certain level, thereby reducing the frequency of engine starts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If automatic engine starting is triggered by driver demand torque exceeding a threshold, then the engine can respond quickly to power needs, but frequent low benefit engine starts occur due to aggressive driver behavior
Solution Approach 1:
The system performs preliminary classification of driver behavior patterns before making engine start decisions. By analyzing historical driver behavior data and classifying drivers as aggressive or non-aggressive, the system prepares appropriate engine starting strategies in advance, preventing unnecessary engine starts caused by aggressive driving patterns while maintaining quick response for legitimate power needs
Solution Approach 2:
The system dynamically adjusts the engine starting threshold parameter based on classified driver behavior. For aggressive drivers, the threshold for triggering automatic engine start is modified to prevent low benefit starts, while for non-aggressive drivers, the threshold remains more sensitive to ensure quick response. This parameter adaptation resolves the contradiction by making the system response speed and energy consumption characteristics match the actual driver behavior pattern
2Power
If the engine starting threshold is lowered to respond to aggressive driver behavior, then power demand is met quickly, but fuel efficiency deteriorates due to unnecessary starts
Solution Approach 1:
The system implements dynamic adaptation of engine starting criteria based on real-time classification of driver behavior. The engine control system transitions from a static threshold approach to a dynamic one where the starting criteria change based on whether the driver is classified as aggressive or non-aggressive. This allows the system to optimize the power delivery capability and fuel efficiency trade-off according to the actual driver behavior pattern
Solution Approach 2:
The system uses feedback from driver behavior analysis to continuously refine engine starting decisions. By monitoring driver behavior patterns and classifying them, the system feeds this information back to adjust engine starting thresholds, ensuring that power delivery capability is maintained when needed while preventing unnecessary starts that would reduce fuel efficiency
Data Source
AI summary
Methods and systems for adapting engine starting thresholds for automatic engine starting are described. In one example, one or more automatic engine starting thresholds may be adjusted to decrease a possibility of automatic engine starting. The automatic engine starting thresholds may be adjusted based on engine starts being characterized as low benefit engine starts.