The Cost of a Failed Charge: Why Reliability Is Your Real Margin Lever
A charger can report 99 percent uptime and still turn away one driver in three. That gap is the most expensive blind spot in public charging today, and it is why EV charging reliability is a margin lever rather than a maintenance line item. Reported uptime across major networks now sits between 98.7 and 99.9 percent, yet only about 71 percent of charging attempts actually succeed, according to ChargerHelp’s 2025 reliability analysis of millions of real sessions. For a charge point operator (CPO) competing in a saturated market where price is matched and footprint no longer differentiates, the operator whose chargers simply work is the one that wins the next session. Reliability is the demand engine, and most operators are measuring the wrong thing.
A Failed Session Costs More Than a Lost kWh
When a driver pulls up, plugs in, and nothing happens, the operator loses far more than one transaction. J.D. Power’s 2025 US public charging study found that 14 percent of EV owners visited a charger and left without successfully charging. Each of those visits is a lost session, but it is also a lost relationship: in a commoditized market the driver has a dozen alternatives within range and little reason to return to a network that failed them once.
The economics compound from there. A charger’s cost is largely fixed, sunk into hardware, installation, and the grid connection behind it. Utilization is what amortizes that cost across sessions, so every failed charge strands a slice of capital that a working charger would have recovered. Reliability and utilization are the same problem viewed from two angles. The networks closing the profitability gap are the ones treating a failed session as a revenue event, not a support ticket.
Why Chargers Fail: The Multi-Vendor Fault-Code Problem
The uncomfortable truth is that most failures happen on chargers that look perfectly healthy. More than a third of failed sessions occur on equipment a dashboard reports as available, because availability and a successful charge are not the same signal. Drilling into the technical failures, two causes dominate: across roughly 13 million sessions, EV-to-charger communication faults accounted for about 47 percent of technical failures and connector-locking faults for about 44 percent (ChargerHelp, 2025). Neither necessarily takes a charger offline. Both ruin the session.
This is where the multi-vendor estate becomes the core operational problem. A typical CPO runs hardware from a dozen or more manufacturers, and each vendor reports faults in its own dialect, with its own error codes and its own definition of “available.” Without a layer that normalizes those signals, charge point monitoring degrades into a wall of inconsistent dashboards, and the success-rate gap stays invisible until drivers complain. Closing it starts with reading every charger through one consistent model of what a healthy session looks like.
| Failure mode | Share of technical failures | How a vendor-agnostic platform detects it | Revenue impact |
|---|---|---|---|
| EV-to-charger communication fault | ~47% | OCPP transaction and error logs read against a normalized fault model; charge-success-rate tracking | Lost session on a charger that still reports “available,” plus driver churn |
| Connector-locking fault | ~44% | OCPP status notifications and connector-state telemetry | Lost session and a support call; cable left unusable for the next driver |
| Payment-terminal failure | Common (non-technical) | Endpoint health checks and payment-gateway alerts | Abandoned session at the point of sale and brand damage |
| Power-supply / hardware fault | Common | Remote diagnostics, energy-meter telemetry, derating alerts | Out-of-service hours and an avoidable engineer dispatch |
| “Phantom availability” | >1 in 3 of all failures | Charge-success-rate monitoring via OCPI object status, not box-level uptime | Hidden utilization loss the uptime dashboard never shows |
From Reactive to Proactive: The Network Operations Model
The fix is a shift from box-level uptime to session-level reliability, run through a vendor-agnostic operations platform. Instead of asking whether each charger is online, the platform asks whether sessions are succeeding, watches the fault telemetry that predicts a failure, and dispatches a fix before the next driver arrives. The metric that matters is charge success rate, not the headline ev charger uptime figure that hides the problem.
Codibly has built this layer in production. For a global technology solutions provider, our team developed an EV fleet aggregator with vendor-agnostic monitoring and control across a heterogeneous estate, bridging MODBUS, the ChargePoint API, and OCPP in one multi-tenant platform. Normalizing those protocols into a single operational view is the foundation of a CSMS and CPMS that turns reliability into a managed outcome rather than a hope.
Proactive operations also means preventing the faults that come from the grid side: dynamic load management keeps a site within its power envelope so chargers do not derate or trip when demand stacks up. The same discipline that recovers a lost session protects the utilization that makes the asset pay — the foundation of a software strategy for a saturated charging market.
The 99 Percent Floor: Reliability as a Regulatory Minimum
What used to be a competitive choice is becoming a legal baseline. The UK’s Public Charge Point Regulations 2023 require operators to maintain 99 percent average annual reliability across the rapid (50kW and above) network, backed by financial penalties and a 24/7 helpline obligation. Reliability is now the floor in a major European market, and other markets are watching that precedent closely.
The regulations are also instructive on measurement. Compliance is assessed using charge point status data exchanged through the Open Charge Point Interface (OCPI), so the same protocol that enables roaming doubles as the audit trail for reliability. That is why how the data is structured matters as much as the hardware: consistent, protocol-level status reporting through OCPI is what lets an operator prove reliability to a regulator and to itself. Reducing ev charger downtime to clear that bar, while not new ground in the UK, where cutting downtime has already been tied to profitability, is becoming a condition of operating rather than a path to advantage.
Make Reliability the Number You Manage To
The operators who will still be standing after the market consolidates are the ones who stop reporting uptime and start managing charge success rate. A failed charge is a churned driver, a stranded fixed cost, and soon a regulatory liability, all from one signal a healthy-looking dashboard never showed. The lever is software: a vendor-agnostic operations layer that reads every charger in one language, predicts faults before drivers hit them, and proves reliability through the data the regulator already asks for. Reliability is not the cost of running a charging network. It is the mechanism that makes the network worth running.
Frequently Asked Questions
In the United Kingdom, the Public Charge Point Regulations 2023 require operators to maintain a 99 percent average annual reliability standard across the rapid charging network (50kW and above), backed by financial penalties and a 24/7 helpline requirement. Most other markets do not yet mandate a specific figure, but the UK standard is an influential precedent. A caution on the number itself: reported uptime of 99 percent can coexist with a much lower charge success rate, because a charger counted as “available” can still fail the session, so operators should treat the regulatory floor as a minimum and manage to actual session success.
Most failures are not the charger going dark. Analysis of roughly 13 million sessions found that EV-to-charger communication faults caused about 47 percent of technical failures and connector-locking faults about 44 percent, and more than a third of failed sessions happen on equipment that a dashboard reports as available. Other common causes include payment-terminal errors, power-supply problems, and hardware faults. Because a typical operator runs hardware from many vendors, each reporting faults differently, the failures are often invisible until a driver is stranded, which is why vendor-agnostic monitoring matters.
Two metrics matter, and they are not the same. Uptime measures whether a charger is online and available. Charge success rate measures whether drivers actually complete a charge, and it is the more accurate gauge of the experience that drives utilization and repeat visits. For regulatory reporting in the UK, reliability is assessed using charge point status data exchanged through the Open Charge Point Interface (OCPI), so consistent, protocol-level status reporting is what makes reliability both measurable and provable.