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Jilldris

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Jilldris last won the day on November 21 2018

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  1. @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?
  2. 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.
  3. 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
  4. Nice! I can put up a public google sheet were people can contribute. Can post the link in a swedish facebook group also.
  5. Yes it is very strange why they do like this. Someone that understands the reason for implementing these non-linear behaviours?
  6. 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.
  7. Have now checked a couple of points for the Leaf 40kWh now to see how the new equation for Dash% works out. There have been a difference of a couple of percent. So i plotted the data points with the equation active in LeafSpy. Unfortunalty it looks like it is not really linear. Also plotted Gids and LeafSpy SoC against Dash% and it is quite clear that it is not linear. Have asked my father to make notes of more data points to get more data. There is not more people here that have this kind of data for the Leaf 40kWh that we could compare with?
  8. Sure I will check more with him. However I think the main point is this: They every week drive trips so long that they have to charge during the day. Or actually they are often on the limit of if they need to charge or not. But they do not dare to not charge as there is no reliable range estimation in the Leaf. So for this it would be good for them to use ABRP to see if they really need to charge, and if they charge how much that is needed. However as the Dash% vs ABRP% have not corresponded they have not really seen how this will make them more confident. Which I can understand.
  9. Thanks! I understand. What made me confused was that the car would show in the dash that there is battery remaing until you reach 0 Gids, eg even past the point you have reach turtle. But maybee I missunderstood that? Beacuse is there even a % number in the dash for remaining battery in Leaf24/30kWh as in the Leaf40kWh?
  10. It is my parents that drive the Leaf 40kWh. I will see if I can check during the weekend if I am there how the new computation works. But maybe more people here also have 40kWh Leaf? I am trying to get my father to use ABRP but he think is it a little difficult. I hope that if we get the ABRP% to match the display % it will make more sense for him. The splitscreen tip from Stefan_K was also good, he likes having Leafspy up to check battery temp. Splitscreen for LeafSpy and mapless mode seems nice to avoid having to use two devices.
  11. I like both suggestions! Regarding adding the charger as waypoint, I have also done that some times to acchive this. However it comes with the drawback that you need to specify the charge power manually, it does not use the charge power vs SOC curve for the car, right?
  12. @JohnT I mean the Dash battery %. Yes that equation looks better. Intresting data. So with the 24kWh version it is possible to drive the car until LeafSpy shows 0 Gids and it is not until then the dash shows 0%? @Jason (ABRP) These equations will then be used to calculate the actual "ABRP %" shown in ABRP when you use live data? Which will hopefully correspond quite good with the Leaf Dash%, However how will the correlation to avalible energy be? Is avalible energy calculated as "ABRP %" multiplied with a constant for each Leaf type? Or are you calculating avalible energy as (Gids-Gids_min)*GidsEnergyConstant?
  13. Just noticed that there were more SOH - Ahr data in the picture from the post above from Stefan_K. Added that datapoint and it also gives 115,44 as maximum Ahr.

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