If you're not familiar with the Erlang-B model, it is used in the telephony world to predict how many customers will encounter a busy circuit given an average call length and maximum number of concurrent calls.
In the EV world, a "call" is a charging session.
What I found interesting is how low the utilization or efficiency rate of a single station is if you want to avoid unnecessary blocking and how much more efficient the group of stations becomes as you add more stations. This has always been my gut feeling, but I didn't know there was an actual formula for it.
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Stalls Capacity Efficiency
2 0.20 10%
4 1.05 26%
6 2.25 38%
8 3.60 45%
I don't know about the rest of you, but one worry I always have when going on a trip that requires QC is that I'm going to find someone else using the spot (or worse finding the station out of order). But if there were more than one QC per location, even if both were in use, your wait time would likely be significantly reduced.
I've only QCd about 10 times. But two of those times I had to wait to use the station.
If you assume a blocking rate of 20%, here's what the capacity/efficiency looks like:
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Stalls Capacity Efficiency
1 0.20 20%
2 0.95 48%
3 1.90 63%
4 2.90 72%
5 4.00 80%