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Machine Learning Based Variation Studies for Electric Vehicle Drive Unit Virtual System Models

Year: 2025

Type: conference-paper

Source: SAE technical papers on CD-ROM/SAE technical paper series

DOI: 10.4271/2025-28-0171

Authors: Venkata Ramana Raju Penumatsa, Venkateswar Katha, Derrick Black, Sachin Jain, Seshagiri Maddipati

Institutions: Tata Consultancy Services (India), General Motors (United States)

Language: English

Topic: Probabilistic and Robust Engineering Design

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4407239602

FWCI:

Cites: 17

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Related to: 10