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Validate Energy Impact of Every Software
and Hardware Change

Public Transport OEM · Software, calibration &
hardware update validation

Challenge

  • Bus OEMs lack a way to measure the energy impact of software updates, calibration changes, and hardware modifications across complex vehicle architectures, which can introduce undetected energy drift affecting route capability and operator commitments

  • Current validation relies on subsystem-level KPIs, missing whole-vehicle energy consequences critical to public transport operations

  • Changes can introduce 1-8% undetected energy regression that surfaces late-sometimes during certification cycles or after deployment to operators-affecting range, route reliability, and tender compliance

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V-Hola Solution

  • Non-intrusive energy fingerprinting compares any updated build to its previous baseline in real time across all key subsystems (propulsion, HVAC, auxiliaries, doors)

  • Immediate flagging of energy regression across subsystems, isolating root cause before deployment to validation fleets or production

  • Continuous energy QA layer throughout development, ensuring every change is validated for energy impact before reaching operators

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Impact

  • Rapid verification of energy impact per software or hardware release, eliminating late-stage surprises during certification or field deployment

  • Prevents regressions from cascading through validation cycles, protecting route range commitments and accelerating time-to-certification

  • Establishes a continuous "energy QA" checkpoint in development workflows - in-loop validation at every stage from R&D through production

  • Reduces certification risk, maintains operator confidence, and enables confidence, rapid iteration on software, calibration, and hardware updates

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Customer Profile

  • Global electric bus OEM managing frequent software, calibration, and hardware updates across multiple bus platforms and configurations

  • R&D and validation teams executing rapid iteration cycles with high deployment frequency to meet evolving operator requirements

  • Critical requirement: catch energy regressions before they impact certification timelines, route capability, or operator satisfaction

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