I was out of town the last 3 days and my car was parked in my NorCal garage. I'm at 2018.42.4. Here's the data I took:
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I also split out the idle and sleep times and plotted them vs the duration of the event. The linear trend lines don't fit the data at all, I just wanted to see what the Excel thinks the formula would be.
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and
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This is all taken by TeslaFi.
Interesting. Looks like this explains the inconsistency I see (I don’t run apps so I don’t have this visibility). The higher draw seems to be dominated by the idle periods.
I ignored the first 30 minute idle period.
Looks like the vampire draw is dominated by the 5 hour idle periods, which draw ~160W.
The sleep mode appears to be closer to an average of 12W, though it can be a few watts higher or lower.
For this 77 hour time period, the overall average was 33.5W.
I’m not sure I would have fitted the data this way. Haven’t really thought about it, but I think it is better to fit the raw kW & miles data, rather than the number Tesla Fi extrapolates to a “per day” number (kWh/day and miles/day). You’d get a slope that is the average number of watts for each mode if you used the other data.
For the data you fit: In theory, for sleep mode, the value should be pretty much the same mi/day or kWh/day loss, regardless of the length of the sleep period (because presumably sleep mode uses a particular number of watts). Now, that clearly isn’t the case here exactly, and there may be some overhead entering/leaving a state.
What I said is a bit confusing - anyway, I think it’s best to break it down to average watts in each mode, as above.
Thanks for the data!
So sleep mode consumption is awful (12W), and in the event you also get a brief (5 hour!) idle event you really get screwed.
Still, 12W would be a start! If only we could avoid the idle events!
And your results indicate that TeslaFi isn’t really impacting your vampire drain since the results are similar to mine.