Work

Electric vehicle powertrain sizing through deep learning analysis of multiple drive cycle profiles for evaluating the energy consumption

Year: 2026

Type: article

Source: Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering

DOI: 10.1177/09544070261433927

Authors: Prasanna Ramanan, Raja Subramani, Maher Ali Rusho, Shubham Sharma, Ramachandran Thulasiram, Abinash Mahapatro, Krishna Prakash Arunachalam, Mohamed Abbas

Institutions: Indian Institute of Technology Madras, University of Colorado Boulder, Chitkara University, Jain University, Siksha O Anusandhan University, Metropolitan University of Technology, King Khalid University

Language: English

Topic: Electric and Hybrid Vehicle Technologies

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure, Climate action

Open Access status: closed

Funder: King Khalid University

OpenAlex ID: W7148803621

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Cites: 29

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