
Validate Energy Impact of Every Software
and Hardware Change
Public Transport OEM · Software, calibration &
hardware update validation
Challenge
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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
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Current validation relies on subsystem-level KPIs, missing whole-vehicle energy consequences critical to public transport operations
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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
V-Hola Solution
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Non-intrusive energy fingerprinting compares any updated build to its previous baseline in real time across all key subsystems (propulsion, HVAC, auxiliaries, doors)
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Immediate flagging of energy regression across subsystems, isolating root cause before deployment to validation fleets or production
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Continuous energy QA layer throughout development, ensuring every change is validated for energy impact before reaching operators
Impact
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Rapid verification of energy impact per software or hardware release, eliminating late-stage surprises during certification or field deployment
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Prevents regressions from cascading through validation cycles, protecting route range commitments and accelerating time-to-certification
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Establishes a continuous "energy QA" checkpoint in development workflows - in-loop validation at every stage from R&D through production
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Reduces certification risk, maintains operator confidence, and enables confidence, rapid iteration on software, calibration, and hardware updates
Customer Profile
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Global electric bus OEM managing frequent software, calibration, and hardware updates across multiple bus platforms and configurations
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R&D and validation teams executing rapid iteration cycles with high deployment frequency to meet evolving operator requirements
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Critical requirement: catch energy regressions before they impact certification timelines, route capability, or operator satisfaction
