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Jilldris last won the day on November 21 2018

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  1. @Jason (ABRP) The 40kWh leaf is now replaced with a 62kWh and I have done some measurements. (The data is also uploaded to your server via LeafSpy) When fully charged our Leaf always have around 750 Gids. That is also what LeafySpy use as default for 100% Gids. And when it is empty (dash shows 0%) it has ~75 Gids. The SOH is 99,4% Eg at least for our car a more suitable model would be: gids_max = 750 gid_min = 75 ahr_max = 176.4 Would mean that the available energy is ~52-53 kWh Can you see from other contributed data if other cars really charge up to 775 Gids? Also, as seen in the plot below the Dash% vs Gids is not really linear in this model either.
  2. We are some Leaf 24 and 40kWh users that have provided data to improve those models in ABRP. If you want to do the same for 30kWh to improve that model for you and other Leaf 30kWh users we can help with analyzing the data if you want. And Jason is usually very quick with making updates.
  3. Well as you say @Jason (ABRP) we don't understand exactly how the Dash % is calculated but it corresponds quite ok with the equation used by ABRP. However there is a spreed of several %, up to ~5%, and it is not constant but can differ on the same car from different drives. Eg a deviation of 2-5% seems possible. In the plot below is data from Leaf 40kWh where the straight line is the equation used by ABRP. If @Frankesousahave similar data from Leaf30kWh it would be easier to see how it deviates.
  4. Polestar 2 will be the first car with infotainment system power by android. Probably this will come to other cars as well. https://www.polestar.com/press-release/2019/05/07/polestar-unlocks-android-developer-potential-at-google-i-o Do you think it will be possible in the future to develop an ABRP app for this? Would be nice if the would be an API allowing access to the needed data, but the chances for that is probably quite small or what do you think?
  5. @Jason (ABRP) Se above. 😀
  6. Jilldris

    LeafSpy error msg

    Upcoming LeafSpy feature? 😀
  7. Ok! Understand that you don't have time for everything. Is amazed of all functionality you manage to add to ABRP.
  8. This would be extremely interesting to see @Jason (ABRP) :) The reason many of us provide the data is to try to help improve the model. (But we understand that LeafSpy data is not optimal)
  9. I made a post on the mynissanleaf forum and a user posted data from a new fully charged 62kWh Leaf. (http://www.mynissanleaf.com/viewtopic.php?f=9&t=28950&p=557895#p557895) It charged to 775 gids and the ahr scaled to 100% SOH was 176.4. No data from empty battery available yet but I think your assumption make sense Jason, so 75 is probably a good starting point until more data is available. Then roughly 54.2 kWh available from fully charged to when dash shows 0%. How is it, do you calculate the usable energy from gids_max and gids_min? Or do you enter it manually? gids_max = 775 gid_min = 75 ahr_max = 176.4 Regarding charging it seems fine to scale it you propose. When the Leaf 62kWh is available in abetterrouteplanner someone could hopefully provide data to improve the model. Are you planning to add the 62kWh Leaf soon?
  10. @JohnT @Jason (ABRP) Yes. My data is with 99% SOH. I plotted that with the data I got from TeslaBjörns videos with the Leaf that seems to have 95% SOH. An then added the linear equations from ABRP for 99 and 95% SOH. I guess it is difficult to say much with so little data. But generally it looks better for higher SOC. But I guess it is quite ok even though the difference is a little higher in the lower end. I have some thoughts though: -Maybe both Gids_min and Gids_max changes with SOH? It would be interesting with more data at low SOC for more cars with different SOH. -As long as we have a good value for Gids_min I guess it is better to have this linear calculation instead of mimicking the somewhat non-linear behavior of the Dash%. This as the Gids give the best measurement of actual available energy, right? Even if a slightly non-linear approximation would correspond better to the dash% it would probably be worse for the route planning as the available energy would be less true? -What is the reason for the large spread of the measurement values at high SOC? What is the advantage with the manipulation they do instead of just making a straight conversion from Gids? One thing I have noticed is that after charging full the Gids have sometimes decreased overnight. I guess this is due to balancing so the energy in the battery really decreases. They might also correct the estimated Gids value at high state of charge where the energy vs cell voltage curve is steeper. However I have noted that the Dash% still shows 100% even though the Gids values have decrease to what normally correspond to 98%. But if I restart the charging then the Dash% jumps to 98% and it starts to charge. So it might be that they don’t want customers wondering why 2% energy have decreases overnight so they “sheet” and freeze the Dash% during balancing. Then when you start to drive they need to smooth out these lacking 2% and that is one reason for the variation at high Gids? What do you think of the points above?
  11. Found more data on saved picture in my phone, some of it from when the car was driven down to 0%. Also got some from a couple of youtube videos.
  12. My father have worked hard today to gather data. 😊 Here is the update. Maybe the trend is linear anyway, but the variation looks high. I have also added all data in a google sheet. So if someone want to contribute data it is open for editing. https://docs.google.com/spreadsheets/d/11W9jb5mKgAWM4jY7cNBAjjJYi1DoTpHeH5WCUDWDhf0/edit?usp=sharing
  13. Nice! I can put up a public google sheet were people can contribute. Can post the link in a swedish facebook group also.
  14. Yes it is very strange why they do like this. Someone that understands the reason for implementing these non-linear behaviours?
  15. That is no problem. If you want you can make one reading per day, that would be very useful. And you don't need to run ABRP. You only need to note the % the Leaf show in the dash (Dash% we have called it above) and the data from LeafSpy (Gids, SOC, SOH, Battery temp). I can make a public google sheet were people could contribute data if they want.

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