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    <responseDate>2026-10-14T13:23:47Z</responseDate>
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    <identifier>10.57760/sciencedb.0102d</identifier>
    <datestamp>2026-08-24T16:29:03Z</datestamp>
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  <dc:date>2026-08-24</dc:date>
  <dc:title>Numerical investigation on no-load loss reduction in electric vehicle gearbox by surface wettability modification</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.0102d</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>High no-load losses during high-speed cruising impair the range performance of electric vehicles. To address the issue, a drag reduction (DR) strategy based on an oleophobic coating is applied to an engineering grade electric vehicle gearbox (EVG), and a component to vehicle energy-saving evaluation chain is established. A decomposition framework is then established to isolate churning loss from total no-load loss and quantify the coating effect. A combined experimental and numerical approach is then adopted. A splash-lubricated EVG model is built using the Moving Particle Semi-Implicit (MPS) method. The model resolves how the flow field, pressure field, and oil coverage rate evolve with rotational speed. The model is validated step by step using a rotating disk rig, a transparent case gearbox rig, and a high speed EVG rig. Surface characterization shows that the coating forms a nanoscale rough surface on the gear end faces. The measured oil contact angle increases from 7.8&amp;deg; to 52.7&amp;deg;, and the oleophobicity is retained after abrasion. The experiments show that the coating reduces the churning loss by approximately 17.3% to 52.3% over the 500 to 10000 r/min range. The MPS simulation shows that the peak oil pressure in the meshing zone is lowered by 41.3%. Finally, the measured power saving &amp;Delta;P0 is mapped onto the WLTC using the proposed model. This mapping yields a cumulative energy saving of about 122 Wh per cycle. The driving range extension is concentrated in the medium and high speed range.</dc:description>
  <dc:subject>Nano-composite ceramic coating; Churning loss; Drag reduction; Electric vehicle; Gearbox; MPS</dc:subject>
  <dc:creator>Yi Liu</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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