Connected Powertrain Control for Low-Emission Zone Compliance
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Solution Overview
Problem
Current vehicle control systems face challenges in efficiently reducing air pollutant emissions while maintaining performance, especially in zones with emission restrictions, as existing methods often lead to a trade-off between emission reduction and vehicle efficiency.
Innovation Solution
A trained artificial neural network is used to predict emission data based on vehicle and location-specific parameters, allowing for real-time adjustment of engine operating conditions to comply with emission limits without significantly impacting vehicle performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-generated harmful factors
If engine temperature is lowered during combustion or exhaust gas aftertreatment processes are implemented to reduce nitrogen oxide emissions, then air pollutant emissions are reduced, but vehicle performance and efficiency are lost and carbon dioxide emissions may increase
Solution Approach 1:
The system applies different engine calibrations and emission control strategies tailored to specific geographic locations and emission zones. Instead of uniform emission reduction across all areas, the control unit adjusts engine parameters locally based on the vehicle's current location, applying stricter controls only in zones with emission restrictions while maintaining optimal performance elsewhere.
Solution Approach 2:
The system dynamically adjusts engine calibration and operating parameters in real-time based on the vehicle's location, detected emission zones, and current driving conditions. The control unit continuously monitors GPS data, compares it with stored emission zone information, and adapts engine management strategies accordingly, transitioning between different calibration profiles as the vehicle moves between zones with different emission requirements.
2Object-generated harmful factors
If engine calibration is adjusted to reduce air pollutant emissions in restricted zones, then emission compliance is achieved, but vehicle performance is compromised
Solution Approach 1:
The system implements location-specific engine calibrations that are optimized for each emission zone's requirements. The control unit stores multiple calibration profiles corresponding to different geographic zones and applies the appropriate profile based on the vehicle's current location, ensuring emission compliance in restricted zones while maintaining optimal power output in areas without restrictions.
Solution Approach 2:
The system changes key engine operating parameters such as fuel injection timing, air-fuel ratio, ignition timing, and exhaust gas recirculation rates based on the detected emission zone. The control unit dynamically adjusts these parameters to achieve the desired balance between emission reduction and power maintenance for each specific location.
Data Source
AI summary
Methods and systems are provided for adjusting a vehicle powertrain. In one example, a vehicle powertrain is adjusted in response to an emission limit of an emission zone. Adjustments may be provided via a neural network wirelessly connected to a vehicle controller.