Skip to main content
Skip table of contents

Charger Dashboard

The Charger Dashboard provides a detailed view of how each individual charger performs over time.
It focuses on session activity, socket behavior, reliability, utilization, and short-term performance metrics.
All data below represents the past 7 days, unless otherwise specified.

Socket Events

What it measures
Shows socket-level activity timelines for the charger over the selected day. Each row represents a socket; color-coded bars indicate operational states.

How to interpret

  • Dense blue bars show high charger activity and frequent usage.

  • Long green lines mean extended idle or ready periods.

  • Gaps between segments may suggest communication downtime or low usage windows.

Ongoing Sessions (Live)

What it measures
Displays all active charging sessions currently in progress, including their duration and energy delivered.

Metric

Description

Active Sessions

Number of ongoing charging sessions.

Energy Delivered

Total kWh supplied so far during the session(s).

Session Duration

Time elapsed since session start.

How to interpret
This data updates in real time.

  • A high energy value and long duration mean active, sustained sessions.

  • Short durations or low energy indicate short top-ups or user interruptions.

Utilization Rate – Last 7 Days

What it measures
Percentage of time the charger’s sockets were in use versus total available time, over the past seven days.

Day

Utilization %

Example 07/10

42%

Example 08/10

55%

How to interpret

  • Higher values → Charger is well-utilized and in frequent demand.

  • Lower values → May indicate low usage, maintenance downtime, or reduced demand.
    Daily tracking helps identify trends or underperforming days.

Success Rate – Last 7 Days

What it measures
Proportion of successful charging session starts compared to total charging attempts.

Day

Success Rate %

Example 07/10

97%

Example 08/10

100%

How to interpret

  • 100% → All attempts successfully initiated — charger performing optimally.

  • Below 95% → Indicates connection errors, user cancellations, or hardware instability.
    Consistent success rates above 95% signify excellent reliability.

Latest Errors (Last 7 Days)

What it measures
Displays the most recent charger errors reported in the last seven days.

How to interpret
If no entries appear, the charger has operated without any recorded faults — ideal stability.
If error events are listed, frequent or repeating codes help identify underlying technical issues.

Sessions (Last 7 Days)

What it measures:
Displays the total number of charging sessions recorded daily across the network over the last 7 days.

How to interpret:

  • Stable or growing session volume = consistent customer activity and platform reliability.

  • Sudden drops = possible outages, connectivity loss, or reduced user demand.
    Session tracking provides visibility into customer usage patterns and helps in demand forecasting.

 

Consumption (Last 7 Days)

What it measures:
Shows the total daily energy (in kWh) delivered through all charging sessions over the last 7 days.

How to interpret:

  • Higher energy delivery = increased charger utilization and customer engagement.

  • Fluctuations = seasonal or behavioral usage variations, or possible operational disruptions.
    This metric helps operators plan for power capacity, energy billing, and site scaling.

 

Avg. session duration (Last 7 Days)

What it measures:
Shows the average session duration over the last 7 days.

How to interpret:

  • Long avg. duration: lots of slow AC charger usage and also depends on site physical location a lot

  • Short avg. duration: lots of fast DC charger usage and also depends on site physical location a lot

  • Helps to find out patterns when people are charging and for how long

 

Avg. consumption per session (Last 7 Days)

What it measures:
Shows the average consumption per session over the last 7 days.

How to interpret:

  • High avg. consumption: batteries are getting charged to full capacity, typical with private AC chargers

  • Low avg. consumption: possible operational disruptions or site has a lot of traffic where people stay for a short time

  • Helps to find out patterns between different sites and their consumption output

Summary

The Charger Level Dashboard provides a focused operational view of individual charger health and performance.
It enables operators to:

  • Monitor socket-level availability and session activity

  • Track charger utilization and success rates

  • Detect errors or downtime early

  • Evaluate energy delivery and charging behavior

By combining short-term (7-day) performance indicators with 30-day historical trends, operators can ensure reliability and maximize charger uptime.

JavaScript errors detected

Please note, these errors can depend on your browser setup.

If this problem persists, please contact our support.