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Charger utilization

Charger utilization is a measure of how much an EV charger (or a charging site) is actually used compared to its available time or capacity. It is a core KPI for charging networks because it links demand, revenue potential, and infrastructure sizing. Utilization is typically calculated from session time, energy delivered, and/or connector occupancy.

What Is Charger Utilization?

Utilization can be defined in several practical ways, depending on what you want to optimize:

Time-based utilization
– Percentage of time a charger/connector is in use (Charging state) over a period

Energy-based utilization
– kWh delivered compared to the maximum possible kWh if operated continuously at rated power
– Useful for comparing AC vs DC, or different power levels

Session-based utilization
– Sessions per day/week/month per charger or connector

Occupancy-based utilization
– Percentage of time a bay is occupied (may include plugged-in but not charging)
– Important for public sites where blocking reduces availability

Most operators track multiple utilization metrics to avoid misleading conclusions.

Why Charger Utilization Matters in EV Charging

Utilization is one of the strongest drivers of business performance and user experience. It matters because it:

– Drives revenue in most public charging models (more sessions and kWh)
– Signals whether a site is underused, right-sized, or constrained
– Helps plan expansion: add chargers vs increase power capacity vs improve operations
– Supports ROI and CAPEX recovery decisions
– Reveals operational issues like long dwell time, idle blocking, or slow starts
– Enables benchmarking across sites, regions, and charger types

High utilization without good operations can also mean queues and a poor customer experience.

How Charger Utilization Is Calculated

Common calculations include:

– Time utilization (%)
– Charging time ÷ total time in period (per connector)

– Energy utilization (%)
– Total kWh delivered ÷ (rated kW × hours in period)

– Sessions per connector per day
– Total sessions ÷ number of connectors ÷ days

– Occupancy utilization (%)
– Time bay is occupied ÷ total time (requires occupancy sensing or plugged-in status)

For accuracy, operators often adjust utilization by availability rate (a charger cannot be utilized when it is down).

What Drives Utilization Up or Down

Key factors include:

– Location and demand drivers (traffic, dwell time, destination attractiveness)
– Pricing strategy and tariff clarity
– Charger reliability and uptime (downtime reduces utilization directly)
– Charging speed and vehicle charge acceptance rate
Charge tapering effects (high SoC charging occupies hardware longer)
– Number of connectors and power sharing logic
– Access control (public vs fleet-only vs tenant-only)
– Payment UX and start success rate (friction reduces real utilization)
– Site signage, bay enforcement, and anti-ICEing measures
– Integration quality with CPMS and roaming networks

Typical Use Cases

– Public networks forecasting when to expand high-demand sites
– Fleet depots optimizing charger count vs scheduling and load caps
– Workplace charging balancing employee access with limited site capacity
– Business parks analyzing tenant usage for cost recovery models
– Investment reporting and performance monitoring across portfolios

Key Benefits of Tracking Utilization

– Better investment decisions and fewer mis-sized deployments
– Improved operational performance through targeted fixes
– Stronger pricing and product strategy based on real demand patterns
– Reduced congestion by identifying when queue management is needed
– More accurate forecasting for grid upgrades and expansion planning

Limitations to Consider

– High utilization can be “bad” if it means queues and blocked bays
– Time utilization can be inflated by slow charging or excessive dwell time
– Energy utilization can penalize AC sites with long dwell times but correct use case
– Multi-connector and power-sharing setups need per-connector analysis
– Seasonal demand swings can distort short reporting windows
– Comparisons require consistent methodology (time window, state definitions, exclusions)

Charge Throughput
Availability Rate
Session Success Rate
Idle Fee Policy
Load Management
Active Power Throttling
Charge Acceptance Rate
Charge Tapering
CPMS
Business Case Modelin