Information Processing for Engine-Disconnecting Clutch Damage Estimation

Solution Overview

Problem

Existing information processing devices fail to capture data characteristics beyond vehicle speed, necessitating a solution that can extract data reflecting the entire original data set, including features other than vehicle speed.

Innovation Solution

An information processing device that acquires data using multiple vehicle sensors, calculates an index value for engine-disconnecting clutch damage by performing a series of search processes involving clustering, time window setting, and error calculation to extract data with reduced volume while maintaining accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If data is compressed by extracting only vehicle speed-related data, then data volume is reduced, but data characteristics beyond vehicle speed are lost

Engineering Contradiction:

Improvedata volumeVSAvoiddata characteristics

Core Design Contradiction:

Quantity of substanceVSLoss of information

Solution Approach 1:

The patent changes the parameter of data extraction from single-dimensional (vehicle speed only) to multi-dimensional (multiple features including vehicle speed, acceleration, braking, steering, engine parameters). This allows comprehensive capture of data characteristics while maintaining reduced data volume through selective feature extraction rather than processing all raw data.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent extracts only the essential feature parameters needed for damage estimation from the original large-volume sensor data. By identifying and extracting key features (vehicle speed, acceleration, braking, steering, engine parameters) that are most relevant to clutch damage, it reduces data volume while preserving the critical information needed for accurate damage assessment.

Inventive Principle:

Principle #2Taking out (Extraction)

2Measurement precision

If original data is used for calculation, then accuracy is maintained, but processing time increases

Engineering Contradiction:

Improvecalculation accuracyVSAvoidprocessing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent extracts only the essential feature parameters needed for damage estimation from the original large-volume sensor data. By identifying and extracting key features (vehicle speed, acceleration, braking, steering, engine parameters) that are most relevant to clutch damage, it reduces data volume while preserving the critical information needed for accurate damage assessment.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

Instead of processing all original sensor data, the patent processes a partial subset of data by selecting only the most relevant feature parameters. This partial action approach maintains calculation accuracy for damage estimation while significantly reducing processing time by avoiding unnecessary computation on irrelevant data.

Inventive Principle:

Principle #16Partial or excessive action

3Loss of information

If multiple features are extracted from original data, then data characteristics are captured, but data volume reduction is limited

Engineering Contradiction:

Improvedata characteristicsVSAvoiddata volume

Core Design Contradiction:

Loss of informationVSQuantity of substance

Solution Approach 1:

The patent changes the parameter of data extraction from single-dimensional (vehicle speed only) to multi-dimensional (multiple features including vehicle speed, acceleration, braking, steering, engine parameters). This allows comprehensive capture of data characteristics while maintaining reduced data volume through selective feature extraction rather than processing all raw data.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS20250285479A1Information processing device

Publication Date: 2025.09.11 TOYOTA JIDOSHA KK

AI summary

The processing device of the information processing device includes: a first step of calculating a relative frequency distribution of the original data; a second step of setting a plurality of time windows for clipping data of a part of the period of the original data; a third step of clipping data from the original data; a fourth step of calculating a relative frequency distribution in the extracted data; and a fifth step of calculating an error between the relative frequency distribution in the original data and the relative frequency distribution in the extracted data; and a search process of repeatedly performing the trial from the second step to the fifth step by changing the setting of the plurality of time windows, and calculating an index value of damage to the engine-disconnecting clutch using the extracted data whose error is equal to or less than the threshold value.