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Utilization rate

Utilization rate is a measure of how much a charging asset (a site, charger, or connector) is actually used compared to the time it is available. It is typically expressed as a percentage over a defined period (day/week/month) and is a core KPI for public charging networks, workplace charging, and fleet depots.

Utilization rate can be calculated in different ways (time-based or energy-based), so it’s important to define the method used.

Why Utilization Rate Matters in EV Charging

Utilization rate is one of the most important KPIs for planning and economics:
– Indicates whether a charger is generating revenue and serving demand
– Helps identify where to expand (high utilization) or relocate (low utilization)
– Influences pricing strategy, bay governance, and idle fee policy
– Supports ROI modeling and TCO tracking
– Helps predict when site electrical capacity will become a bottleneck
– Reveals operational issues (low utilization may be caused by downtime or poor UX)

High utilization can be good for revenue but can also signal congestion and the need for more bays.

Common Ways to Measure Utilization Rate

Time-based Utilization (Most Common)

Measures the share of time the charger/connector is occupied or charging:
– Utilization = (Occupied time ÷ Available time) × 100%
Some operators use “charging time” only, while others use “plugged-in/occupied time” (which includes idle time).

Energy-based Utilization

Measures energy delivered relative to theoretical maximum:
– Utilization = (kWh delivered ÷ (Rated power × hours)) × 100%
This can be useful for comparing assets with different power ratings, but it is sensitive to temperature derating, vehicle limitations, and load caps.

Session-based Utilization (Volume Indicator)

Counts sessions per day/week and compares against expectations:
– Sessions/day per connector
This is often used alongside time-based utilization to understand turnover and demand patterns.

Charger Utilization vs Site Utilization vs Bay Utilization

Utilization can be tracked at different levels:
– Connector utilization: best for operational and expansion decisions
– Charger utilization: aggregates multiple connectors on one unit
– Site utilization: total occupancy and energy across all assets at a location
– Bay utilization: includes whether EV bays are blocked (ICEing) even if the charger is technically available

Factors That Influence Utilization Rate

Utilization is shaped by both demand and constraints:
– Location and dwell time patterns (retail vs residential vs fleet depot)
– Pricing and tariff design (tariff structures, ToU)
– Reliability and uptime (offline chargers reduce usable time)
– Site power limits and load management (can increase session duration)
– Vehicle mix and charging speed limitations
– Parking enforcement and bay blocking behavior
– User experience (payments, roaming, app issues)

Interpreting Utilization Correctly

Utilization alone can be misleading without context:
– High utilization + long session duration may indicate congestion or low power allocation
– Low utilization may mean low demand, but could also mean poor discoverability or downtime
– A site capped by a maximum site demand limit may show high occupancy but lower kWh throughput
– Seasonal patterns matter (winter impacts range and charging demand)

Best practice is to pair utilization with kWh delivered, session success rate, and downtime.

Using Utilization Rate for Planning

Common decisions driven by utilization data:
– When to add more connectors or expand a site
– Whether to change pricing or introduce idle fees
– Whether to adjust load balancing allocations to reduce queues
– Whether to improve signage, access, or payment options
– Identifying underperforming assets that need relocation or marketing support

Common Pitfalls

– Not defining whether utilization counts “occupied” vs “charging” time
– Comparing sites without normalizing by dwell time patterns and power caps
– Ignoring downtime, which inflates apparent utilization if “available time” isn’t tracked correctly
– Using only monthly averages and missing peak-hour congestion

Charger Uptime
Queue Management
Idle Fee Policy
Tariff Structures
Time-series Data
Load Management
Maximum Site Demand Limit
TCO Tracking
Public Charging Economics