Also for the sake of clarity regarding the conclusions of the 1st post, I do exactly the same things to minimize vampire drain. Additionally, almost all my data points are from daily driving & charging.
These 2 aspects minimize the impact that vampire drain could have on the car’s consumption error.
Exemplifying this with a negative example:
- Drive 50 km over the course of 2 weeks, using 15% of the battery
- After those 2 weeks, top of the battery to the initial 70%.
- Simultaneously, at a 1%/day vampire drain, over those 2 weeks, you’d have lost 14% to vampire drain.
- In this example, you’d be getting a 50% consumption “error” just because of vampire drain (14% on top of a reported usage of 15%)!
However, repeat the same above example (use 15% on a 50km drive => then top of to 70%), but this time just in 1 day, and the vampire drain weight drops from 50% to 1% / 15% = 6,6%.
Trying to eliminate the vampire drain as a sole explanation for the consumption error I'm getting => in my dataset, I choose only daily drives of >80km, in order to dilute the impact of the vampire drain:
- 9 drives, with an average of 170km driven in a single day;
- Average consumption reported by the car: 37,9 kWh (223 wh/km reported)
- Average energy that entered to top of the battery: 41,5 kWh
- Consumption error in relation to the useful full pack: (41,5 - 37,9) / 72,5 = 5%
- These 5% are way higher than my daily vampire drain (which is less than 1%), especially for days when you’re driving for more hours.