this post was submitted on 01 Sep 2023
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Formula 1

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[โ€“] [email protected] 11 points 1 year ago (1 children)

The above outputs are achieved by solving energy balance equations using the immense cloud computational power provided by AWS.

if tail_light_last_on_secs_ago < 20:
    mode = recharge
elif tail_light_last_on_secs_ago > 60:
    mode = deploying
else:
    mode = neutral
[โ€“] [email protected] 6 points 1 year ago

IMMENSE CLOUD COMPUTATIONS FROM AWS!!!!

ZHOU TO OVERTAKE MAX IN 7 LAPS!!!

[โ€“] [email protected] 2 points 1 year ago (3 children)

The identification of the driver behaviours is obtained thanks to a correlation analysis of the driverโ€™s demands and the characteristics of specific sections of the circuit.

Sounds like the battery charge and mode isn't actually being directly measured. Seems like they're just inferring with a model.

Either way, I'm not really a fan of this. It's kinda cool for fans, but I think this is giving too much valuable information to other teams. There will be less uncertainty and risk in strategy.

[โ€“] [email protected] 2 points 1 year ago (1 children)

"immense calculations, cloud computations" yada yada

Would rather see if the battery is being deployed or charged than some guess as to what happened last lap

[โ€“] [email protected] 2 points 1 year ago

Yeah.

Until now, broadcasters and fans have only been able to hazard a guess at a driverโ€™s energy usage tactics.

Now, broadcasters and fans are only able to hazard a guess at how that unexplained model works.

[โ€“] [email protected] 1 points 1 year ago

Rival teams can already determine this too a large extent, based on sector times, blinking lights, etc.

Wouldn't something like this has to be approved by teams before broadcast?