Pump to Plug – Part III: A 97% Uptime Goal Isn’t a Hardware Challenge—It’s a Systems Challenge

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Brad Juhasz

For many observers, the reliability challenge in EV charging still sounds like a familiar refrain: “If the chargers were just better, we’d hit 97% uptime.”

The underlying assumption is that higher quality hardware, more rugged enclosures, better power modules, improved connectors and smarter firmware would solve the nascent problem.

All of that matters—but none of it is sufficient.  The hard truth is this:  Uptime isn’t built into hardware. It’s built into systems—hardware + software + humans, amplified by AI—operating at scale. And until the EV charging industry fully absorbs that reality, no amount of capital, kilowatts, or code will consistently deliver the level of reliability drivers now expect—and federal policy increasingly demands.


What 97% Uptime Actually Means in the Real World

On paper, 97% uptime sounds forgiving. In practice, it’s not.

A 97% uptime target allows only about 260 hours of downtime per year per charger. That’s 10–11 total days of permissible outage—spread across random failures, weather, grid interruptions, vandalism, payment faults, thermal derates, and software crashes.

More importantly, uptime isn’t measured by intentions. It’s measured by response speed:

  • How fast faults are detected
  • How fast they’re triaged
  • How fast parts can be ordered and shipped to the site
  • How quickly the right technician is dispatched
  • How accurately the problem was diagnosed
  • How quickly it’s repaired
  • How reliably it’s verified and returned to service

Which leads to a critical reframing:  97% uptime is not a reliability rule. It’s a response-speed rule.

User-centric metrics like First-Time Session Success, as formalized by the ChargeX Consortium, reinforce that uptime must be evaluated as a systems outcome—not a hardware attribute.

And response speed is never a hardware metric. It’s an operational one.


The Gas Station Precedent: Reliability Was Always a Workforce Story

The gasoline world solved uptime long before anyone talked about APIs and AI.  Gas pump reliability didn’t emerge from magical dispensers. It emerged from mandatory service regimes:

  • Authorized regional service networks
  • Required inspections and certifications
  • Meter calibration schedules
  • Environmental compliance programs
  • Contracted response SLAs

Gas pumps became reliable because people were always on call to keep them that way.

Fuel retail never outsourced uptime to hope. It hard-wired it into labor coverage.

Which is why the EV charging reliability challenge is fundamentally a workforce analog of a problem the petroleum industry solved decades ago.


Why EV Charging Is Structurally More Labor-Intensive Than Gas

EV charging is not a simpler system than gasoline. It’s a more demanding one in three structural ways.

1. Electrical + Software = Exponentially More Failure Modes

A DC fast charger is not a pump. It’s a power-electronics system tied to a software platform:

  • Power modules
  • Contactors
  • Cooling systems
  • Cable management
  • Grid interconnection
  • OCPP communications
  • Payment processing
  • Load management
  • Firmware and configuration layers

One software fault can look exactly like a hardware failure to the driver. One failed network handshake can strand a fully powered charger.

That complexity multiplies failure modes—and multiplies the need for skilled human response.

2. Preventive Maintenance Isn’t Optional

Gas dispensers often operate on annual or biennial PM cycles.

DC fast chargers require quarterly preventive maintenance just to manage:

  • Heat stress
  • Thermal interfaces
  • Fan and filter integrity
  • High-current terminations
  • Connector wear
  • Environmental seals

Deferred PM doesn’t just degrade performance—it triggers cascade failures. Thermal inefficiency becomes rectifier failure. Cable wear becomes safety shutdowns. Dust becomes cooling collapse.

Uptime is not saved in repair—it’s saved in prevention.

3. Remote Tools Reduce Truck Rolls—But Only With Humans

Remote reboots, firmware resets, diagnostics dashboards, and predictive maintenance analytics unquestionably matter.

But:

  • A remote reset cannot torque a lug
  • AI cannot replace a contactor
  • Firmware doesn’t clean filters
  • Dashboards don’t install power modules

Remote tools compress workload, but they don’t remove it. They make skilled human labor more efficient—but never obsolete.


The Workforce Reality Behind National Uptime

When you scale those dynamics to a national public charging network, the labor implications become unavoidable.

At today’s scale (2025):

  • The U.S. public network relies on roughly ~2,000 EV charging technicians nationwide when you combine:
    • Senior electricians
    • Junior PM techs
    • Network and diagnostics staff

By 2030, under a mid-range national build-out:

  • The system will require ~12,500–13,000 technicians, including:
    • ~4,500–4,700 senior electricians
    • ~8,000+ junior preventive-maintenance techs
    • ~1,000–2,000 network & diagnostics specialists

For comparison, the gasoline world today operates with approximately 7,000–19,000 petroleum equipment technicians nationwide.  The magnitude is similar. The skill mix is not.

We are rebuilding an entire national fueling workforce from scratch—while simultaneously scaling the hardware.


Why Charging “Software Companies” Are Becoming Workforce Orchestrators

Many charging networks began life thinking they were platform companies:

  • APIs
  • Apps
  • Network layers
  • User experience

NEVI and national uptime enforcement are forcing a reality shift:

  • Staffing models
  • Training pipelines
  • Regional coverage density
  • Shift scheduling
  • Escalation workflows
  • Field safety programs
  • Spare-parts logistics

These are not “software company” problems. They are operating-system problems.

And critically, most networks cannot afford to become fully integrated national employers for thousands of technicians.

Which is exactly what drove the petroleum industry to evolve service partner ecosystems instead of verticalizing everything in-house.


The Three Classes of Workers That 97% Uptime Depends On

At scale, uptime rests on three distinct labor layers—not one.

1. Senior Electricians (The Bottleneck Layer)

These are the high-voltage specialists:

  • Power modules
  • Commissioning
  • Energization
  • Ground fault diagnostics
  • HV safety and lockout/tagout

They are scarce because they are competing with:

  • Utilities
  • Data centers
  • Substations
  • Grid-scale renewables

This is the hardest role to scale—and the one most likely to constrain national uptime.

2. Junior Preventive-Maintenance Technicians (The Volume Layer)

These technicians are the stabilizers of uptime:

  • Connector inspection
  • Cable health
  • Firmware updates
  • Environmental sealing
  • Filter replacement
  • First-line diagnostics

By 2030, this category will represent ~60% of the entire EV charging workforce. Without them, every failure escalates upward—and senior electricians are overwhelmed.

3. Network & Diagnostics Specialists (The Invisible Multipliers)

These roles didn’t exist in gasoline:

  • Remote monitoring
  • OCPP diagnostics
  • Payment system triage
  • Configuration management
  • Predictive maintenance modeling

Well-run networks clear 20–40% of outage events remotely before a truck ever rolls (my estimate based on experience). Poorly run networks double their labor burden by treating every issue as a field dispatch.


The Coming Constraint Isn’t Chargers—It’s Coverage

The national narrative today still fixates on:

  • Permitting
  • Manufacturing capacity
  • Interconnection delays
  • Capital availability

All are real. None will be the dominant limiter by the end of this decade.

By 2028–2030, the binding constraint will increasingly be:

  • Licensed electricians
  • Preventive-maintenance technicians
  • Dispatch density
  • Regional service coverage
  • Training and certification velocity

Hardware scarcity is a temporary bottleneck. Labor scarcity is a structural one.


What Winning Networks Are Actually Doing Differently

The most successful operators are not winning on features. They are winning on systems maturity.

1. They Are De-Emphasizing Feature Proliferation

Drivers do not choose networks based on:

  • Loyalty programs
  • UI animations
  • App skins

They choose based on three fundamentals:

  1. It works
  2. It charges fast
  3. It accepts payment

Features don’t restore uptime. People do.

2. They Are Prioritizing Tier 2 Remote Triage

Tier 2 is now the highest-ROI reliability investment in the industry:

  • Remote reboot
  • Power-cycling subsystems
  • Breaker and interlock verification
  • Payment-path diagnostics
  • Comms validation
  • Firmware rollback

This layer:

  • Clears 20–40% of outages without a truck roll
  • Preserves scarce senior electricians
  • Converts “site down” into “site degraded” in minutes

The fastest repair is the one that never needs a windshield.

3. They Are Professionalizing Tier 3 Field Repair

When remote triage fails, what matters next is not hope—it’s precision:

  • Correct technician
  • Correct parts
  • First-pass fix
  • OEM-specific training
  • HV safety clearance

Winning operators eliminate “wrong truck, wrong tech, wrong part” events through disciplined escalation and skill-matched dispatch.

4. They Are Not Building Giant Internal Technician Armies

Most charging networks today are:

  • Capital-constrained
  • Margin-constrained
  • Deployment-pressured

They cannot sustainably carry:

  • National payrolls
  • Regional training infrastructure
  • Spare-parts depots
  • Safety compliance engines

Recent buyer’s guides show many reliability failures originate upstream—in procurement clarity, commissioning readiness, and service workflow design—not hardware specifications.

Smart charge station operators understand their own limits – which are usually financial, not technical.

5. The Rise of the Reliability Partner as a Permanent Industry Layer

This has created a new structural role in EV charging: the Reliability Partner.

These organizations provide:

  • Multi-regional field coverage
  • OEM-certified technicians
  • Tier-coordinated workflows
  • SLA-aligned response
  • Training pipelines
  • Safety and compliance infrastructure

This is why organizations like ChargerHelp! exist—and why their relevance increases as uptime enforcement tightens.

Charging networks are not becoming workforce companies. They are becoming workforce orchestrators.

6. This Is the Utility Playbook—Reappearing in EV Form

Utilities never expected every generator owner, every substation operator and every grid participant to employ their own national repair crews.

Instead, specialized field-service layers became permanent infrastructure.  EV charging is now following the same arc.

Industry reliability reports consistently show that most failures occur at the station-operations layer, validating that 97% uptime is fundamentally a systems KPI—not a hardware one.


Conclusion: 97% Uptime Is a Systems Metric

In the end, 97% uptime is not a firmware KPI. It is not an enclosure-rating KPI. It is not a chipset KPI. It is a systems KPI—how well humans, amplified by AI, can sense, triage, dispatch, and repair infrastructure at national scale.

Although it is not always the reality today, the EV transition will not ultimately bottleneck on charge stations, power distribution equipment, available power or capital.  It will bottleneck on:

  • People
  • Training
  • Dispatch density
  • Preventive discipline

From pump to plug, the reliability playbook remains unchanged:  Infrastructure only works when a trained human can reach it fast enough to save it.

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