Cloud Fleet Powertrain Control for Real-Time Emissions Compliance
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Solution Overview
Problem
Current systems lack an efficient method for managing and reducing emissions from fleet vehicles and individual vehicles, particularly in real-time, to comply with regulatory requirements and optimize performance.
Innovation Solution
A remote computing system that receives emissions data packets from vehicle controllers, determines cumulative emissions values, and performs corrective operations by adjusting operational parameters, such as fuel injection quantities or air handling systems, to maintain compliance with emissions thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If emissions tests are periodically updated and generalized guidelines are used, then regulatory compliance is maintained, but real-time emissions monitoring and vehicle-specific optimization are insufficient
Solution Approach 1:
The system continuously monitors actual emissions data from vehicle sensors and compares it against predicted emissions values. This feedback loop enables real-time detection of deviations and triggers automatic corrective actions by the vehicle controller, such as adjusting fuel injection or air handling, to maintain compliance while optimizing for each specific vehicle's operating conditions
Solution Approach 2:
The system pre-calculates predicted emissions values based on vehicle operating parameters and regulatory thresholds before actual emissions occur. This allows the system to proactively identify potential compliance issues and prepare corrective actions in advance, rather than merely reacting to periodic test results
2Object-generated harmful factors
If vehicle operational parameters are dynamically adjusted to reduce emissions, then emissions compliance is improved, but vehicle performance may be compromised
Solution Approach 1:
The system applies corrective actions selectively based on the magnitude and duration of emissions deviations. Not every minor fluctuation triggers a performance-reducing corrective action. The controller adjusts parameters like fuel injection or air handling only when and to the extent necessary to bring emissions back within thresholds, thereby minimizing impact on vehicle performance while still achieving compliance
Solution Approach 2:
The system dynamically adjusts operational parameters in real-time based on actual emissions measurements and predicted values. Rather than applying fixed, conservative settings that would always prioritize emissions over performance, the controller continuously adapts parameters like fuel injection timing and quantity to achieve the optimal balance between emissions compliance and vehicle performance for each moment of operation
3Measurement precision
If comprehensive emissions data collection and analysis are performed, then emissions monitoring accuracy is improved, but system complexity and computational requirements increase
Solution Approach 1:
The system creates simplified predictive models of emissions behavior based on vehicle operating parameters and historical data. These predictive models serve as virtual copies of the complex emissions processes, allowing the system to estimate emissions values and identify compliance issues without requiring equally complex real-time measurement and analysis systems
Solution Approach 2:
The emissions monitoring and control system is divided into separate functional modules: data collection from sensors, predicted value calculation, actual value measurement, deviation analysis, and corrective action implementation. This segmentation allows each module to be optimized independently and simplifies the overall system architecture while maintaining comprehensive monitoring capabilities
Data Source
AI summary
A computing system is disposed remote from a vehicle and communicably coupled to the vehicle over a network. The computing system includes a communications interface, one or more processors, and memory storing instructions that when executed by the one or more processors, cause the one or more processors to receive a first emissions data packet from a vehicle controller, the first emissions data packet including a plurality of emissions values regarding operation of a vehicle; determine whether a first cumulative emissions value is greater than a threshold value; and responsive to determining that the first cumulative emissions value is greater than the threshold, performing, by the remote computing system, corrective operations.