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Collaborative multi-agent vehicle fault diagnostic system & associated methodology

An agent program and fault diagnosis technology, applied in the direction of registration/indication of vehicle operation, electrical digital data processing, registration/instruction, etc., which can solve the problems of expensive, long vehicle inspection and diagnosis, etc.

Active Publication Date: 2014-01-01
TOYOTA JIDOSHA KK
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Long and expensive vehicle inspection and diagnostics for vehicle fault determination when DTCs are not available

Method used

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  • Collaborative multi-agent vehicle fault diagnostic system & associated methodology
  • Collaborative multi-agent vehicle fault diagnostic system & associated methodology
  • Collaborative multi-agent vehicle fault diagnostic system & associated methodology

Examples

Experimental program
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Embodiment Construction

[0048] A vehicle includes a number of computerized subsystems controlled by an electronic control unit (ECU). The ECU may operate in or with the OBD system to monitor the performance of subsystems in order to detect vehicle conditions, such as breakdowns or other abnormal operating conditions. As a maintenance feature, the vehicle includes an interface to a maintenance terminal to read data from the OBO system, identify faults and recommend maintenance to be performed.

[0049] Data readout from the OBD system includes DTCs that identify faults, which, combined with visual inspections from technicians, represent routine diagnostic practice. This application is directed to multi-agent systems operating under the assumption that no DTC is available.

[0050] In some aspects, the system logs full-vehicle data (i.e., data involving more than one vehicle subsystem) in order to correlate signals between subsystems by executing singularity detection, aggregation, and machine learnin...

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Abstract

A control unit executes a first agent of a first subsystem of a vehicle, the first agent including a fault detection agent and a communication agent. The fault detection agent monitors performance data of the first subsystem to identify a problem in the first subsystem, stores first candidate fault diagnosis processes corresponding to the first subsystem in a first memory, and searches for a fault diagnosis process which identifies a fault causing the problem in the first subsystem from among the first candidate fault diagnosis processes. The communication agent collaborates with a second agent when a search by the fault detection agent fails to find the fault diagnosis process which identifies the fault. The collaboration includes searching a second memory which stores second candidate fault diagnosis processes, sending the monitored performance data to the second agent, and exchanging search result data between the first and second agents.

Description

[0001] Cross References to Related Applications [0002] This application claims priority to US Serial No. 13 / 097,703, filed April 29, 2011, the entire contents of which are hereby incorporated by reference. technical field [0003] The present application relates to methods, systems, algorithms and processes for diagnosing vehicle faults, more specifically, using intelligent agents to diagnose vehicles. Its applications include efficiently identifying and diagnosing current and potential future vehicle faults in the absence of diagnostic trouble codes (DTCs). Background technique [0004] On-board diagnostic (OBD) systems assist technicians in diagnosing and servicing computerized vehicle systems, such as the engine and braking system. OBD systems are used to diagnose subsystem component failures and failures, and to detect subsystem component damage. When component damage reaches a critical level, a DTC can be generated and / or a warning light on the vehicle's dashboard c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/00
CPCG07C5/008G07C5/085G05B23/0275
Inventor S·吉麦尔D·普罗科霍尔夫
Owner TOYOTA JIDOSHA KK
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