Adaptive Torque Correction for Diesel Particulate Filter Regeneration
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Solution Overview
Problem
The transition between different modes of diesel particulate filter regeneration in diesel engines causes significant variations in engine output torque, leading to control issues in automatic transmissions, as existing adaptive pressure control algorithms struggle to compensate for hardware variability and aging effects.
Innovation Solution
A method that estimates and corrects engine output torque by using an adaptive algorithm to learn and store torque errors, immune to k-factor variability and hardware variances, allowing for precise torque control during DPF regeneration, and utilizing the corrected torque for transmission operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional pressure control adaptive algorithms are used to compensate for hardware variability, then base mapping errors can be corrected, but the algorithms cannot compensate for torque errors during DPF regeneration modes
Solution Approach 1:
The patent applies dynamics by making the torque correction adaptive and mode-specific. Instead of using a single static correction algorithm, the system dynamically selects and applies different torque correction values based on the current DPF regeneration mode (mode 0, 1, or 2). This allows the system to adapt to the unique torque characteristics of each regeneration phase while maintaining accurate torque measurement throughout all operating conditions.
2Measurement precision
If base torque mapping is optimized to reduce error, then base operation accuracy improves, but torque error variations increase during transitions to regeneration modes
Solution Approach 1:
The patent applies segmentation by dividing the torque correction into separate, mode-specific correction values. Instead of using a single correction algorithm for all operating modes, the system segments the correction approach by storing and applying different torque correction values for mode 0 (base), mode 1 (preheat), and mode 2 (regeneration). This segmentation allows each mode to have its own optimized correction while maintaining overall torque consistency across mode transitions.
3Measurement precision
If adaptive pressure control learns per shift, then shift-specific accuracy improves, but the learning process is slow and causes hunting between good and poor shifts
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing torque correction values for each DPF regeneration mode before actual operation. Instead of learning slowly during shifts, the system performs the learning and correction calculation in advance during mode transitions, storing the correction values in memory. This preliminary action eliminates the hunting behavior and provides immediate, accurate torque correction when needed.
Data Source
AI summary
In a motor vehicle powertrain that includes a diesel engine, a particulate filter and a torque converter, a method for correcting an indicated engine output torque includes estimating a magnitude of torque being transmitted from the engine to the torque converter while regenerating the particulate filter, determining a reference magnitude of current engine torque being produced while regenerating the particulate filter, determining a torque error from a difference between the estimated magnitude and the reference magnitude, recording the torque error, determining a current torque error from the recorded torque error using a current engine speed and a current reference engine torque as indices to the recorded engine toque error, producing a corrected engine torque from the sum of the current torque error and the current reference engine torque, and using the corrected engine torque to control operation of the transmission.