Detecting Subsystem Degradation
Over the Vehicle Lifecycle

Commercial Fleet Operator · Long-term fleet health monitoring and operational cost management

As electric vehicles accumulate mileage in demanding commercial duty cycles, subsystems (propulsion, HVAC, compressors, auxiliaries, doors) degrade at different rates, but degradation remains invisible until it causes functional failure or significant operational disruption
2-10% gradual increase in energy consumption appears long before systems fail, directly impacting fleet TCO and route profitability with no way to detect which subsystem is the culprit
Fleet operators face unexpected breakdowns, costly emergency repairs, and revenue loss from vehicle downtime without early warning signals
Root-cause analysis is slow, expensive, and often inconclusive, leading to reactive maintenance strategies instead of predictive optimization
Warranty claims require documented evidence of subsystem degradation, but operators lack the tools to prove gradual performance decline before catastrophic failure

Continuous subsystem energy monitoring across the entire vehicle lifecycle in active fleet operations
Detection of gradual increases in energy consumption for specific components (HVAC, compressors, propulsion, auxiliaries) versus their baseline performance-flagging 2–5% deviations long before failure
Automated alerts when subsystem efficiency drops below acceptable thresholds, enabling scheduled maintenance before emergency breakdowns
Documentation of degradation patterns to support warranty claims with objective, time stamped evidence of component decline
Cross-fleet benchmarking to identify vehicles requiring attention and compare degradation rates across similar duty cycles and routes

Transforms reactive "fix when broken" maintenance into proactive intervention, reducing emergency repair costs by 30–50%
Minimizes fleet downtime and revenue loss by addressing subsystem issues during planned maintenance windows rather than roadside failures
Reduces TCO through early detection of inefficient components before they cause secondary damage or excessive energy waste
Provides objective evidence for warranty claims, accelerating resolution and recovering costs from OEM-responsibility failures
Enables data-driven fleet management decisions: which vehicles need attention, which routes cause accelerated degradation, and which subsystems require supplier engagement

Commercial fleet operator managing electric delivery vehicles, buses, or commercial transport
Large fleets (50+ vehicles) across diverse routes and duty cycles with varying utilization patterns
Focus on TCO optimization, uptime maximization, and predictive maintenance to reduce operational disruptions
Need for objective data to support warranty claims and supplier quality discussions
Programs focused on long-term fleet health, cost per kilometer reduction, and route capability assurance over multi-year vehicle lifecycles