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A Practical Methodology for Electric Vehicle Drivetrain Benchmarking: Maximizing Insight from Minimal Test Effort

delete2026-03-12
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Christopher Severin
DOI:10.1016/j.etran.2026.100581delete
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Abstract

Abstract

En 中文
• Electric vehicle drivetrain components and energy flows can be benchmarked with minimal instrumentation • Easily obtainable real-world driving data can be used for model calibration • Physically grounded models compensate for limited test data quality and low sampling rates • Results can be derived on both the component level (e.g. efficiencies) and the vehicle level (e.g. energy flow analysis)
Keywords:
Electric vehicle drivetrain
Benchmarking methodology
Real-world driving data
Model calibration
Energy flow analysis

Journal

eTransportation cover
eTransportation
IF:
17
Papers:
547
Citations:
4.4K

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