Vehicle Diagnostic Tool Extracting PIDS for Powertrain Analysis
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Solution Overview
Problem
Automotive technicians face difficulties in diagnosing complex powertrain systems due to increasing data complexity and the need for timely and accurate diagnostic decisions, often leading to misdiagnosis or overlooking crucial information.
Innovation Solution
An analysis tool that interfaces with the vehicle's powertrain control module via the data link connector, extracting parameter identifications (PIDS) and comparing them to preprogrammed values to alert technicians to potential issues through a color-coded alert light system, providing immediate feedback on system performance and guiding diagnostic decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If technicians manually analyze complex powertrain data, then diagnostic accuracy may improve with expertise, but diagnostic time increases significantly and errors occur
Solution Approach 1:
The diagnostic tool automatically performs data analysis, comparison, and diagnostic decision-making without requiring manual intervention from the technician. The system serves itself by autonomously evaluating PIDS data against preprogrammed criteria and generating diagnostic conclusions, thereby eliminating time-consuming manual analysis while maintaining high accuracy through automated algorithms.
Solution Approach 2:
The patent replaces the mechanical process of manual data analysis with an automated electronic system. The microprocessor-based diagnostic tool electronically processes PIDS data, performs comparisons with preprogrammed values, and generates diagnostic results automatically, substituting the technician's manual cognitive work with an efficient electronic analysis system that operates faster and without fatigue.
2Loss of information
If more data is collected from the powertrain control module, then diagnostic information completeness improves, but data complexity increases making it harder to identify problems
Solution Approach 1:
The diagnostic tool extracts only the most relevant diagnostic information from the comprehensive PIDS data set. By selectively comparing specific PIDS against preprogrammed values and criteria, the system extracts critical diagnostic indicators while filtering out unnecessary data complexity, presenting only the essential information needed for accurate diagnosis to the technician.
Solution Approach 2:
The patent introduces an intermediary processing layer between the raw PIDS data and the technician. The microprocessor acts as an intermediary that automatically processes, compares, and interprets the complex data stream, transforming it into simplified diagnostic conclusions. This intermediary system manages data complexity by handling the computational burden and presenting organized, actionable results to the user.
3Productivity
If technicians rely on available diagnostic data, then diagnostic decisions can be made, but important information may be overlooked leading to misdiagnosis
Solution Approach 1:
The diagnostic system incorporates feedback mechanisms where the microprocessor continuously monitors PIDS data, compares it against preprogrammed criteria, and adjusts diagnostic conclusions based on the analysis. The system provides feedback to the technician through alert lights and diagnostic messages that highlight critical issues, ensuring that important information is not overlooked while maintaining rapid diagnostic decision-making through automated analysis.
Data Source
AI summary
An analysis tool which extracts all the available parameter identifications (i.e. PIDS) from a vehicle's power train control module for diagnostic decisions. This is done by checking these PIDS and other information (e.g., calculated PIDS, Break Points, charts and algorithms) in three states; key on engine off, key on engine cranking, key on engine running. In all three modes the tool is comparing the live data from PIDS and voltage to the other information (e.g., Break Points). If any of this data are outside the programmed values a flag is assigned to the failure or control problem. The relationship between a particular PID and its associated preprogrammed value(s) may be indicated by a light. The depth of the problem (if any) is conveyed by the color of the light. Also included are tests/charts for fuel trim, engine volumetric efficiency, simulated injector, power, catalyst efficiency, and engine coolant range.