Apparatus and Method for Diagnosing Vehicle Exhaust Increase Using Autoencoder
Summary
USPTO published patent application US20260097776A1 by Hyundai Motor Company for an apparatus and method of diagnosing causes of increased vehicle exhaust gas using autoencoder neural networks. The system receives input data including sensed values, calculates reconstruction errors between input and restored data from a pre-learned autoencoder, and diagnoses exhaust increase causes based on these errors. This AI-based diagnostic technology is relevant to automotive manufacturers and emission control systems.
What changed
USPTO published patent application US20260097776A1 filed by Hyundai Motor Company on April 10, 2025. The application covers an apparatus and method for diagnosing causes of increased exhaust gas in vehicles using autoencoder neural networks. The system includes a processor configured to receive input data containing multiple sensed factors, calculate reconstruction errors between input data and restored data from a pre-learned autoencoder, and diagnose exhaust increase causes based on these reconstruction errors.
For automotive manufacturers and technology developers, this patent application indicates Hyundai's investment in AI-based emission diagnostics. Companies developing similar emission monitoring or predictive maintenance systems should review for potential freedom-to-operate concerns. The autoencoder-based approach represents a machine learning application for vehicle diagnostics that may influence future emission control technologies.
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Archived snapshot
Apr 9, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
APPARATUS AND METHOD OF DIAGNOSING A CAUSE OF INCREASED EXHAUST GAS USING AN AUTOENCODER, AND A VEHICLE INCLUDING THE SAME
Application US20260097776A1 Kind: A1 Apr 09, 2026
Assignee
HYUNDAI MOTOR COMPANY
Inventors
Jin Gwon Park
Abstract
An apparatus for diagnosing a cause of an increase in exhaust gas using an autoencoder includes: at least one processor; and a storage medium for storing a computer-readable instruction, wherein when the computer-readable instruction is executed by the at least one processor, the computer-readable instruction is configured to cause the processor to: receive input data, wherein the input data includes at least two or more factors including a sensed value; determine a reconstruction error for each of the at least two or more factors, wherein the reconstruction error is a reconstruction error between the input data and restored data obtained by inputting the input data to a pre-learned autoencoder; and diagnose the cause of the increase in exhaust gas, based on the reconstruction errors.
CPC Classifications
B60W 50/0205 G06N 3/0455 B60W 2050/021
Filing Date
2025-04-10
Application No.
19175547
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