Aftertreatment Temperature Forecasting With Zone-Based Thermal Profiles
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Solution Overview
Problem
Existing exhaust aftertreatment systems face challenges in accurately forecasting temperature changes within the system due to dynamic and ever-changing exhaust gas conditions, leading to inefficiencies in component operation and increased processing power requirements for data storage and memory allocation.
Innovation Solution
A system and method that utilizes a processing circuit with a memory storing instructions for processors to estimate and forecast exhaust temperatures, dynamically moving data among different memory ranks based on vehicle operating parameters, such as engine conditions, to reduce processing power and improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If exhaust temperature forecasting is performed using traditional methods, then temperature predictions can be made, but processing power requirements and memory allocation increase significantly
Solution Approach 1:
The patent segments the exhaust aftertreatment system into multiple zones (e.g., DOC zone, DPF zone, SCR zone) and performs temperature forecasting independently for each zone using zone-specific models. This segmentation allows the system to process only relevant data for each zone rather than computing full-system temperature distributions, thereby reducing processing power requirements while maintaining prediction accuracy for each specific zone.
Solution Approach 2:
The patent pre-calculates and stores look-up tables containing pre-computed temperature profiles and heat transfer parameters for various operating conditions. During runtime, the system queries these pre-computed tables rather than performing complex real-time thermal simulations, significantly reducing processing power requirements while maintaining accurate temperature predictions.
2Productivity
If comprehensive model data is stored in high-speed memory, then processing speed improves, but memory allocation and system complexity increase
Solution Approach 1:
The patent implements a hierarchical memory architecture where frequently accessed zone-specific model data and look-up tables are stored in high-speed memory (SRAM/Cache), while less frequently accessed data is stored in lower-speed memory (DRAM/Flash). Each processing core has access to locally cached data relevant to its specific zone, reducing the need for large unified high-speed memory allocations and simplifying memory management complexity.
Solution Approach 2:
The patent transitions from a monolithic memory architecture to a multi-level hierarchical memory structure with different speed and capacity tiers. This dimensional change in memory organization allows the system to optimize for both processing speed (through local high-speed caching) and resource efficiency (through selective data placement), reducing overall memory allocation requirements while maintaining processing performance.
Data Source
AI summary
A system includes a processing circuit having a memory coupled to one or more processors, the memory storing instructions therein that, when executed by the one or more processors, cause the one or more processors to: receive an estimated exhaust temperature; generate, based on the estimated exhaust temperature, a forecasted exhaust temperature; modify the forecasted exhaust temperature based on a downpipe model to generate a first temperature profile corresponding to a first component of an exhaust aftertreatment system; and generate, based on the first temperature profile, a second temperature profile corresponding to a second component of the exhaust aftertreatment system.