Toyota jidosha kabushiki kaisha (20240183751). ENGINE ABNORMALITY PREDICTING DEVICE simplified abstract

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ENGINE ABNORMALITY PREDICTING DEVICE

Organization Name

toyota jidosha kabushiki kaisha

Inventor(s)

Hisatsugu Miyata of Toyota-shi (JP)

ENGINE ABNORMALITY PREDICTING DEVICE - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240183751 titled 'ENGINE ABNORMALITY PREDICTING DEVICE

Simplified Explanation

The patent application focuses on determining the use state of a vehicle based on various factors such as engine speed, engine load factor, vehicle speed, and brake state. It also predicts engine abnormalities by analyzing the generation of condensed water in the engine under specific conditions.

  • Engine speed, engine load factor, vehicle speed, and brake state are used to determine the use state of the vehicle.
  • The presence of condensed water in the engine after a certain elapsed time is analyzed to predict engine abnormalities.

Potential Applications

This technology can be applied in the automotive industry for predictive maintenance of vehicles, improving engine performance, and enhancing overall vehicle safety.

Problems Solved

This technology helps in early detection of engine abnormalities, which can prevent potential breakdowns and accidents. It also aids in optimizing vehicle performance and efficiency.

Benefits

The benefits of this technology include increased vehicle reliability, reduced maintenance costs, improved safety for drivers and passengers, and enhanced overall vehicle longevity.

Potential Commercial Applications

"Predictive Engine Maintenance Technology in Vehicles" can be used in automotive manufacturing, fleet management companies, and automotive service centers to offer advanced maintenance services and ensure optimal vehicle performance.

Possible Prior Art

One possible prior art could be a similar system used in aircraft engines to predict engine abnormalities based on various parameters and conditions.

Unanswered Questions

How does this technology impact fuel efficiency in vehicles?

This article does not delve into the specific effects of this technology on fuel efficiency in vehicles.

What are the potential challenges in implementing this technology on a large scale?

The article does not address the potential obstacles or difficulties that may arise when implementing this technology across a wide range of vehicles and systems.


Original Abstract Submitted

based on at least one of an engine speed which is a rotational speed of the engine, an engine load factor which is a load factor of the engine, a vehicle speed of the vehicle, and an on-off state of a brake in the vehicle, a use state of the vehicle is determined, and based on an elapsed time after the engine is stopped, whether or not condensed water is generated in the engine is determined, and an engine abnormality is predicted based on the determined use state of the vehicle when the condensed water is generated in the engine or when the amount of condensed water generated in the engine is equal to or larger than a predetermined amount of water.