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Detecting Subsystem Degradation
Over the Vehicle Lifecycle

Public Transport OEM · Fleet quality programs and long-term durability monitoring

Challenge

  • As electric buses accumulate mileage in demanding duty cycles, subsystems (propulsion, HVAC, compressors, auxiliaries, doors) degrade at different rates, but degradation remains invisible until it causes functional failure or significant range loss

  • 2 - 10% higher energy consumption appears long before systems fail, with no way to detect which subsystem is the culprit in complex bus architectures

  • Root-cause analysis is slow, expensive, and often inconclusive, leading to costly recalls, field campaigns, or operator complaints about reduced route capability

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V-Hola Solution

  • Continuous subsystem energy trace across the entire vehicle lifecycle in both OEM validation fleets and customer operations

  • Detection of gradual increases in energy load for specific components (HVAC, compressors, propulsion) versus their original baseline performance

  • Early-stage degradation flagging before fleet operators or passengers experience range loss, no-start events, or reduced route reliability

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Impact

  • Ongoing verification of energy impact over time and distance, enabling predictive warranty and quality strategies for public transport fleets

  • Early detection minimizes cascading failures and prevents costly field campaigns, recalls, or loss of operator confidence

  • Enables design improvements in future bus programs by identifying subsystems with accelerated degradation patterns under high-utilization duty cycles

  • Builds a continuous quality baseline from production through the bus's operational life across diverse routes and climates

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Customer Profile

  • Global electric bus OEM with active quality and durability programs across multiple fleet cohorts and operators

  • Focus on long-term vehicle health monitoring, predictive warranty management, and fleet uptime optimization

  • Critical need for early detection of performance drift to minimize operator impact, maintain route reliability, and reduce total cost of ownership (TCO)

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