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Charging operations

How to improve EV charging station utilisation

Raman Unni website — Editorial · · 6 min read

Start by separating demand, access and reliability. Measure energy delivered, successful starts and repeat visits together, then test the change that addresses the actual constraint.

Define utilisation before trying to improve it

A busy parking bay and a productive charger are different things. Track energy delivered in kilowatt-hours, the time each port actively charges, and the number of successful sessions. A car can occupy a bay after charging ends; that is occupancy, not active charging time. A station can also deliver useful energy in short sessions without looking busy throughout the day.

For a simple time-based measure, divide active charging port-hours by scheduled service port-hours. Two ports advertised as available around the clock provide 48 scheduled port-hours per day. If they deliver six active charging hours between them, time utilisation is 12.5%. This is an illustrative calculation, not a ChargeMOD performance figure. Report downtime separately rather than removing it from the denominator and making a broken station look better.

Find where the driver journey breaks

Review the journey in order: discovery, arrival, access to a compatible port, session start, energy delivery and return visit. Low traffic may call for better visibility. Many arrivals with few successful starts call for an operational investigation. Healthy first visits with little repeat use suggest a different question: did the experience meet the driver's needs?

Walk the site as a first-time visitor. Is the map pin at the actual entrance? Can someone find the bay after dark? Are opening hours, parking charges and charging instructions clear? Does a security gate prevent access? Record each issue with an owner and a completion date. These checks are proposed operating practices, not claims about an existing station.

Measure failed attempts as well as completed sessions

Completed-session records alone can hide frustration before energy starts flowing. Where the system records attempts, compare successful starts with valid start attempts. Define an attempt consistently and distinguish a retry from a new customer. If those events are missing, mark the metric unavailable; do not infer a failure count from zero-energy transactions alone.

Classify the evidence you do have: authorisation, payment, connection, charger fault, communication loss or an unknown cause. Link support observations to session identifiers where possible, while keeping customer data out of public reports. A charger being reachable by software does not establish that a driver can complete a charging session.

Build demand around the reason people stop

Choose a local use case before running a broad promotion. A workplace, hotel, retail stop and fleet parking area create different arrival patterns and dwell times. Talk to nearby businesses about whether charging fits their visitors' routines. Explain the location and access clearly, and use the same station name across approved listings.

Treat any offer as a measurable experiment. Compare similar weekdays and opening hours, record the offer cost, and check whether people return after it ends. More sessions do not by themselves establish that an offer is commercially useful. For a Kerala site, practical questions might include access during rain, visible directions from the road and whether advertised amenities are actually open.

Run one focused review every week

Use a short station scorecard: energy delivered, successful sessions, active charging hours, downtime, start success when measurable, repeat visits and unresolved issues. Break results down by time of day before deciding that a site needs more equipment.

Choose one constraint, name the action and agree how success will be measured. For example, improve entrance directions and compare arrivals and sessions across comparable periods. Keep weather, holidays, outages and nearby events in the notes. This makes it easier to distinguish a useful improvement from ordinary variation. Expand capacity when the evidence shows a capacity constraint, rather than using new hardware as the default answer to low use.

Sources & editorial notes

The scorecard, diagnostic sequence and example calculation are an editorial framework. Sources explain network functions and location principles; they do not validate a utilisation benchmark or promise results.

Prepared with AI assistance for Raman Unni’s website. This guide does not quote Raman or disclose internal company data. Published 2026-10-10.