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Summary & Details

Using a Representative Driving Pattern Extraction Technique Modeling with Machine Learning, Development of Durability Test Mode

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Format: PDF

Price: Non-members (tax incl.)：￥6,600 Members (tax incl.)：￥5,280

Paper/Info type: SAE Paper

No.2021-01-0160

Pages: 1-5(Total 5 p)

Date of publication: Apr 2021

Publisher: SAE International

Language: English

Event: SAE WCX Digital Summit 2021

Detailed Information

Author(E)	1) Hye Jeong Beun
Affiliation(E)	1) Hyundai Motor Group
Abstract(E)	The powertrain durability test mode often defines the method by reflecting figures such as frequency of use or severity, but in complex systems, durability is difficult to verify in real life conditions under simple conditions. Therefore, in this session, a new analysis method modeled for each driving unit is presented, rather than analyzing time series data in time to extract representative driving pattern from the perspective of the powertrain load reflecting driving situation and driver’s will by applying machine learning technique, and to develop realistic durability test evaluation mode.

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