What needs attention first, the evidence behind it, and how the network has performed in the recorded data.
7 high, 15 medium and 4 low priority open items, each traceable to a rule and its records.
Why it matters: Rising resistance, voltage drop or repeated faults in the charging path can lead to heating and failed sessions if left unchecked.
Next step: Schedule a physical inspection of the connector (contacts, pins, latch, cable strain relief) and repeat the measurement.
Why it matters: Rising resistance, voltage drop or repeated faults in the charging path can lead to heating and failed sessions if left unchecked.
Next step: Schedule a physical inspection of the connector (contacts, pins, latch, cable strain relief) and repeat the measurement.
Why it matters: Rising resistance, voltage drop or repeated faults in the charging path can lead to heating and failed sessions if left unchecked.
Next step: Review the fault codes with the operator and inspect the connector and cable assembly.
12 of 32 stations have recorded coordinates. Pins show each station's most concerning charger; select one for its chargers and open items.
Base map: Natural Earth (public domain) · India boundaries
Each charger's category from its own measurement history. Click a category to list those chargers.
Historical data · 01 Jan 2024 – 11 Jan 2024 · 1,000 sessions at 19 stations.
Σ charging power × charging time. Derived, not metered.
Mean charging time; average charging power 26.5 kW.
256 of 1000 sessions labelled “High” loss in the dataset. Median loss 19% of power consumed.
35 lose more power than consumed; 302 exceed battery capacity.
Not shown: utilisation, downtime and failed-session rate. The data has no per-charger availability, no downtime and no session outcome, and its charger counts per station are inconsistent.
Sessions per day ranged from 40 to 96 over 11 days (the first and last day may be partial).
Reduced power loss category
91.7% correct on unseen sessions (guessing: 37.4%)
Reduced power loss category — without power loss
Not predictable — no better than guessing (37.4%)
Voltage stability category
Not predictable — no better than guessing (40.4%)
Use it on the model page to categorise a new session from its measured values.
The daily high-loss share moved between 20% and 28% with no consistent upward or downward trend (robust slope 0 points per day).
Area type is recorded per session.
Thin vertical line: fleet share 26%. Bars: 95 % interval.
The high-loss share ranges from 25% (Rural) to 27% (Urban), but the 95 % intervals overlap — the 2%-point gap is within what chance alone could produce.
Thin vertical line: fleet share 26%. Bars: 95 % interval.
The high-loss share ranges from 25% (V2G) to 27% (Fast), but the 95 % intervals overlap — the 2%-point gap is within what chance alone could produce.