Vehicle Stationary Generator Control for Geofenced SOC Windows
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Solution Overview
Problem
Existing vehicle powertrain systems lack efficient management of battery state of charge (SOC) and engine operation when stationary, particularly in geofenced areas with noise and emission restrictions, leading to suboptimal fuel consumption and noise levels.
Innovation Solution
A system that adjusts the battery SOC thresholds and engine idle speeds based on geofencing and ambient noise, extending the SOC window to minimize engine starts and optimize power generation while adhering to noise and emission regulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If the engine operates at higher idle speed to generate electricity while stationary, then power generation capability is improved, but noise levels increase violating geofence restrictions
Solution Approach 1:
The system dynamically adjusts engine idle speed based on real-time conditions including geofence status, ambient noise levels, and battery state of charge. The controller monitors these parameters and continuously optimizes engine operation to balance power generation needs with noise constraints, switching between different idle speed modes as conditions change.
Solution Approach 2:
The system changes key operational parameters including engine idle speed, battery charge/discharge thresholds, and power generation targets based on geofence entry/exit events and ambient noise measurements. By adjusting these parameters dynamically, the system adapts to varying operational constraints and optimizes performance within allowed parameters.
2Reliability
If the battery SOC thresholds are tightly constrained to maintain readiness, then vehicle responsiveness is improved, but fuel consumption increases due to frequent engine starts
Solution Approach 1:
The system performs preliminary charging actions while the vehicle is stationary and within geofenced areas. By extending the maximum SOC threshold and reducing the minimum SOC threshold during geofence operation, the system charges the battery in advance during low-noise periods, reducing the need for frequent engine starts later and improving overall fuel efficiency.
Solution Approach 2:
The battery SOC thresholds are made dynamic rather than fixed. The controller adjusts charge and discharge threshold parameters based on operational context including geofence status, ambient noise levels, and power demand predictions. This dynamic threshold adjustment allows the system to balance battery readiness with fuel efficiency optimally.
3Power
If the engine operates continuously to maintain battery charge, then power availability is improved, but emissions increase violating geofence regulations
Solution Approach 1:
The system employs periodic engine operation rather than continuous operation. By strategically managing battery charge/discharge cycles and adjusting SOC thresholds, the system creates optimized intervals for engine operation that maintain power availability while minimizing total runtime and associated emissions within geofenced areas.
Solution Approach 2:
The system uses the battery as a self-service energy buffer that absorbs excess power generation during low-emission periods and supplies power during high-demand periods. This self-service capability allows the engine to operate intermittently rather than continuously, reducing emissions while maintaining power availability.
Data Source
AI summary
A controller of a vehicle, while the vehicle is within a predefined geofenced region and responsive to the vehicle entering park, increases a maximum state of charge threshold for the battery and decreases a minimum state of charge threshold for the battery. The controller also, while the vehicle is located within the predefined geofenced region and responsive to the vehicle exiting park, decreases the maximum state of charge threshold and increases the minimum state of charge threshold.