Average Charging Time is a critical performance indicator that directly impacts operational efficiency and customer satisfaction.
Reducing charging time can enhance user experience, leading to increased adoption rates of electric vehicles.
This KPI also influences financial health by optimizing resource allocation and reducing costs associated with energy consumption.
Companies that successfully manage this metric can improve their ROI metric and align their strategies with market demands.
By focusing on this key figure, organizations can ensure they meet target thresholds that drive business outcomes and maintain a competitive position.
Average Charging Time is part of the Electric Vehicle (EV) group, one of sixty KPIs tracked there. Its priority is nine, placing it just outside the group's top tier: behind EV Sales Volume, EV Market Share, Total Cost of Ownership (TCO) Savings, Customer Satisfaction Index, Customer Retention Rate, EV Production Volume, Charging Station Availability, and Fast Charging Infrastructure Density.
Its balanced scorecard perspective is internal, reflecting that it's an operational or product performance measure rather than a customer facing or financial one, even though it feeds directly into customer experience.
The real tension is with Total Cost of Ownership (TCO) Savings. The fastest way to cut Average Charging Time is to push more sessions onto high power fast charging and lean harder on fast charging infrastructure, but higher charging power typically means higher electricity costs, harsher demand charges, and faster battery degradation. Total Cost of Ownership (TCO) Savings is the metric that would catch that trade off: if charging time keeps falling while TCO savings flatten or shrink, the improvement is coming at the customer's expense rather than genuinely improving the ownership experience.
The formula is a simple operational average, the sum of all charging times divided by the number of charging sessions, but two definitional choices happen before that division and both need to be fixed and documented: what counts as the start of a session, plug in, or the point charging actually begins after any queueing or authentication delay, and what counts as the end, full charge, a preset target state of charge, or simply when the vehicle disconnects, which for many drivers happens well before a full charge.
Where the data lives matters too: charging time typically comes from charge point operator logs or fleet telematics, a different system than the sales, satisfaction, or retention data the rest of the EV group draws on, so joining them honestly means matching on vehicle or customer ID and time window, not averaging two reports that happen to cover the same quarter.
Segmentation by charging level carries real weight here, since blending home, workplace, and fast charging sessions into one average produces a number that describes no real driver's experience: a customer who charges mostly overnight at home and a customer who relies on public fast charging have very different session lengths for entirely rational reasons. The clearest instrumentation pitfall is counting sessions that were interrupted or abandoned partway through as complete charges, which drags the average down in a way that looks like improvement but actually reflects incomplete data capture.
Many organizations overlook the impact of charging infrastructure on Average Charging Time, leading to missed opportunities for improvement.
Enhancing Average Charging Time requires a strategic focus on technology and user experience.
We have 1 relevant benchmark in our benchmarks database.
Source: Subscribers only
Source Excerpt: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | hours / minutes | typical range | 2025 | battery electric vehicles (BEV) | EV charging | United States |
Browse the Top Benchmarked KPIs in Electric Vehicle (EV)
One outside source covers this metric: the U.S. Department of Transportation, publishing charging speed guidance for battery electric vehicles in the United States as of early 2025. Its framing differs from an internally tracked average, and that difference matters before comparing the two.
The source presents a typical range, its own term, organized by charging speed or level, a published band for what a customer can expect across charging tiers, from standard charging up through fast charging equipment. That's a specification driven framing: it describes what a charging tier can deliver. The canonical formula behind this KPI is an operational average, the sum of all charging times across actual sessions divided by the number of sessions, reflecting a specific fleet or customer's real charging mix.
Before treating the two as comparable, a customer should verify: what mix of charging levels the government range actually spans against what mix the customer's own fleet or session data uses, whether the source's population, battery electric vehicles broadly, matches the customer's own vehicle types and battery sizes, and whether a published equipment based range is being quietly substituted for a genuine operational average across a specific set of charging sessions.
Average Charging Time is named directly in the Electric Vehicle (EV) group's real OKR example. Under the objective boost customer satisfaction and loyalty through enhanced vehicle performance and service, one key result reads reduce Average Charging Time from 45 minutes to 25 minutes with fast charging improvements, alongside increase Customer Satisfaction Index score from 78 to 90 through improved feature offerings, raise Customer Retention Rate from 65% to 80% in post purchase service programs, and extend Vehicle Range per Charge from 250 km to 350 km on standard models.
The group's rationale is explicit about why this KPI carries weight here: faster charging and longer range directly enhance user convenience, reducing friction in daily use, and that convenience is what drives the satisfaction and retention numbers in the same OKR.
A team can treat reduce Average Charging Time from 45 minutes to 25 minutes with fast charging improvements as an illustrative team goal, the real key result from this group, while watching it against Customer Satisfaction Index and, per the tension noted above, Total Cost of Ownership (TCO) Savings, so a shrinking average is confirmed as a genuine service improvement rather than a cost shifted onto the customer.
This KPI is associated with the following categories and industries in our KPI database:
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Charging technology, station maintenance, and user interface design all play significant roles. Upgrading to faster chargers and ensuring regular maintenance can greatly reduce charging times.
Implementing a reporting dashboard that aggregates data from charging stations allows for real-time tracking. This data can be analyzed to identify trends and areas for improvement.
No, different vehicle models and battery sizes can affect charging times. Electric vehicles with larger batteries may require longer charging periods compared to smaller models.
Longer charging times can lead to frustration and decreased usage. Reducing this metric enhances the overall user experience and encourages repeat usage.
An acceptable Average Charging Time typically falls below 30 minutes for fast charging stations. However, this can vary based on technology and user expectations.
Yes, longer charging times can deter customers, impacting revenue. Improving this metric can lead to increased usage and better financial health.
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