17933588. DETECTION OF EXTERNAL LEAKS UTILIZING CABIN HUMIDITY MODEL simplified abstract (GM GLOBAL TECHNOLOGY OPERATIONS LLC)

From WikiPatents
Jump to navigation Jump to search

DETECTION OF EXTERNAL LEAKS UTILIZING CABIN HUMIDITY MODEL

Organization Name

GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor(s)

Dhruv Patel of Oshawa (CA)

Joseph F. Szczerba of Grand Blanc MI (US)

David Alexander Hinz of Detroit MI (US)

Rupesh Sonu Kakade of West Bloomfield MI (US)

Cynthia A. Nicholson of Oxford MI (US)

DETECTION OF EXTERNAL LEAKS UTILIZING CABIN HUMIDITY MODEL - A simplified explanation of the abstract

This abstract first appeared for US patent application 17933588 titled 'DETECTION OF EXTERNAL LEAKS UTILIZING CABIN HUMIDITY MODEL

Simplified Explanation

The patent application describes a system for detecting external leaks in a vehicle cabin using sensors and onboard vehicle controls. The system includes control modules with processors, memory, and I/O ports that communicate with the sensors and controls. The modules execute program code portions, including algorithms that determine if data from the sensors and controls meets threshold values and generate a leak detection output.

  • Sensors and onboard vehicle controls are used to detect external leaks in a vehicle cabin.
  • Control modules with processors, memory, and I/O ports communicate with the sensors and controls.
  • Program code portions stored in memory include algorithms that determine if data meets threshold values and generate a leak detection output.

Potential Applications

This technology can be applied in the automotive industry for vehicle safety and maintenance purposes. It can also be used in other industries where leak detection in enclosed spaces is critical.

Problems Solved

This technology helps in early detection of external leaks in a vehicle cabin, preventing potential damage to the vehicle and ensuring the safety of occupants. It also aids in identifying and addressing issues related to cabin air quality.

Benefits

The system provides real-time monitoring and detection of leaks, allowing for prompt action to be taken. It enhances vehicle safety and maintenance practices, leading to increased reliability and longevity of the vehicle.

Potential Commercial Applications

Potential commercial applications of this technology include automotive manufacturers, maintenance and repair services, and industries where leak detection is essential for safety and operational efficiency.

Possible Prior Art

One possible prior art for this technology could be existing leak detection systems used in industrial settings or other enclosed environments. These systems may have similarities in terms of sensor technology and algorithmic analysis for leak detection.

What is the cost of implementing this technology in vehicles?

Implementing this technology in vehicles may involve initial costs for installing the sensors, control modules, and integrating the system with onboard vehicle controls. The overall cost will depend on factors such as the complexity of the system, the number of sensors required, and the level of integration with existing vehicle systems.

How does this technology compare to traditional leak detection methods?

This technology offers advantages over traditional leak detection methods by providing real-time monitoring and automated detection processes. Traditional methods may rely on manual inspection or periodic checks, which can be less efficient and timely compared to an automated system like this.


Original Abstract Submitted

A system for detecting external leaks in a cabin of a vehicle includes sensors and onboard vehicle controls disposed on the vehicle. Control modules of the system have processors, memory, and input/output (I/O) ports. The I/O ports communicate with the sensors and onboard vehicle controls. The control modules execute program code portions stored memory. The program code portions include first and second algorithm portions. The first algorithm portion receives data from the sensors and controls and determines that the data from the sensors and controls meets initialization threshold values. When the data from the sensors and controls meets the threshold values, the second algorithm portion generates a cabin leak detection output including: a first output, a second output, or a third output. The first output indicates a large leak, the second output indicates no leak, and the third output indicates that a small leak has been detected.