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SUMMARY:Analysis of Long-Term Degradation of Electric Heavy Goods Vehicle 
 Traction Batteries Using In-Service Data - Harry Durham\, PhD student\, CU
 ED
DTSTART:20260130T160000Z
DTEND:20260130T170000Z
UID:TALK242827@talks.cam.ac.uk
CONTACT:46601
DESCRIPTION:Electric Heavy Goods Vehicles (eHGVs) represent a critical pat
 hway to decarbonising freight transport\, but long-term battery performanc
 e and lifespan remain key challenges in terms of de -risking eHGV acquisit
 ion for the operators. This presentation details a project investigating t
 he degradation mechanisms in eHGV battery packs\, moving beyond simplified
  laboratory testing to reflect real-world operational profiles. A data-dri
 ven approach has been employed\, beginning with comprehensive data acquisi
 tion from in-service eHGVs to characterise actual usage patterns. This fie
 ld data informs the development of representative drive cycles for laborat
 ory testing of lithium-ion cells. A key focus of the recent experimental w
 ork is the impact of prolonged vibration exposure -and attempting to deter
 mine if this is a significant factor in cell degradation. The resulting ex
 perimental data will be used to validate and refine physics-based battery 
 degradation models\, ultimately enabling more accurate predictions of batt
 ery life and informing strategies for optimised battery management and sec
 ond-life applications in this demanding sector.
LOCATION:JDB Seminar Room\, CUED
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