Vattenfall - MAX - Hantverksgatan 1

Vattenfall - MAX - Hantverksgatan 1 44132 Alingsås, VÄSTRA GÖTALAND, SE
Operator: Vattenfall InCharge
Owner: Vattenfall InCharge

Real-time reliability analytics for the Vattenfall InCharge EV charging station at Vattenfall - MAX - Hantverksgatan 1 44132 Alingsås, VÄSTRA GÖTALAND, SE, owned by Vattenfall InCharge. Monitor live availability, utilisation rate and the Symbioen Index across 6 charging points — with 60-day performance history to evaluate charging infrastructure quality. In the 7-day window, Symbioen could score 4 of 6 charging points here.

For site hosts, operators and asset managers

Keep this station under independent review

Add it to your portfolio for weekly Symbioen Index, Availability and Utilisation trends, or scope a report that turns comparable evidence into an SLA, maintenance or asset decision.

Symbioen Index
76.6
Last 7 days · scored points only
Charging points
6
Current
Points scored
4 / 6
Last 7 days
Availability
87.9%
Last 7 days · scored points only
Utilisation Rate
3.4%
Last 7 days · all points
Successful Sessions
70.3%
Last 7 days · scored points only

History

Last 60 days
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Audit Logs

EligibilityPassed
IncompletenessNone
Audit Points15226 tracked

Reliability is scored under Symbioen Reliability Protocol v0.6 and updated continuously from live telemetry.

Charging point fleet

EVSE ab7d
AVAILABLE
Symbioen Index55
UID: 7bb8a8f5-4cd5-4090-b20d-a5785a18ab7d
Power
100kW
Type
CCS/Combo
EVSE cc73
AVAILABLE
Symbioen Index62
UID: ab5bd609-b569-4615-a71c-420fa191cc73
Power
100kW
Type
CCS/Combo
EVSE a7f5
AVAILABLE
Symbioen Index94
UID: f9e749a0-c56d-458d-bbdc-a1e4f7e4a7f5
Power
100kW
Type
CCS/Combo
EVSE d39f
UNKNOWN
UID: 3ee22a89-cc8d-4904-916d-2f3c66f8d39f
Power
100kW
Type
CCS/Combo
EVSE a353
AVAILABLE
Symbioen Index95
UID: e7352944-e338-45ef-9e2a-eff6c34ba353
Power
100kW
Type
CCS/Combo
EVSE 8524
UNKNOWN
UID: f995677a-2a32-4731-892a-a60a59cb8524
Power
100kW
Type
CCS/Combo

What could this reliability be worth?

The calculator opens with the figures above and estimates how much energy downtime and failed sessions leave unsold.

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