Jilldris 1 Posted February 21, 2019 Share Posted February 21, 2019 On 2/20/2019 at 12:31 AM, Jason (ABRP) said: That's actually really good feedback, we often get feedback from very involved power users who learn all the little features and bugs and how to really use the website. Better is feedback from those who don't go to that level, so if you wouldn't mind I'd love to hear more about your father's feedback. What specifically does he find difficult? Anything we could do to make it easier for him? @JohnT This one brings up an important point. There are two pieces at play to calculate a route, one is the consumption model which spits out a power (in kW) for an input speed, and the other is the capacity of the battery. At the moment, I've set the battery capacity, and tuned the consumption model based on real-world inputs to where the achievable range matches the real-world experiences. My guess is that I've set the battery capacity too low, but since I adjusted the consumption curve to match you're getting accurate %'s but the energy usage doesn't match. What I suppose I need to do is go back upthread to where the Gids were listed out and do (Gids_max - Gids_min)*80Wh To set the available battery capacity for each model, then re-adjust the consumption model to match. This will be important when I analyze all the LeafSpy data you've all contributed, as there's no raw power information in the LeafSpy stream, so I have to figure out the power consumption from the battery % reported. 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. Quote Link to post Share on other sites
Jilldris 1 Posted February 21, 2019 Share Posted February 21, 2019 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? Quote Link to post Share on other sites
Stefan_K 2 Posted February 21, 2019 Share Posted February 21, 2019 I can do this to. But my daily trips are to short. I drive the whole week and have 60% left in the battery pack. The next longer trips I will use ABRP and Leaf Spy and post the results. Quote Link to post Share on other sites
Jason-ABRP 180 Posted February 22, 2019 Author Share Posted February 22, 2019 Am I allowed to complain about Nissan's bizarre SoC scheme now? Maybe it'd be better to just go back to using the LeafSpy "raw" SoC value? Quote Link to post Share on other sites
JohnT 0 Posted February 22, 2019 Share Posted February 22, 2019 25 minutes ago, Jason (ABRP) said: Am I allowed to complain about Nissan's bizarre SoC scheme now? Maybe it'd be better to just go back to using the LeafSpy "raw" SoC value? Feel free to complain Jason, you wont be alone 🙂 I can't speak for 40 kWh Leaf but for 24 KWh model the Leafspy SOC will be even more complex. I can show you data that indicates the relationship between SOC and dash%/gids is quite non linear below around 30% and temperature dependant. Quote Link to post Share on other sites
JohnT 0 Posted February 22, 2019 Share Posted February 22, 2019 5 hours ago, Jilldris said: 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? I don't have an expectation that ABRB and my car will agree to the nth degree of accuracy, but I agree that this looks like a bigger margin of error than one would like. I'll put a post on the NZ Leaf Owners FB page to see if I can encourage anyone else to contribute. There are only a small number of 40KWh models here - Nissan don't sell Leafs here and they come in on the second hand car market ex UK and Japan. Quote Link to post Share on other sites
Jilldris 1 Posted February 22, 2019 Share Posted February 22, 2019 8 hours ago, Stefan_K said: I can do this to. But my daily trips are to short. I drive the whole week and have 60% left in the battery pack. The next longer trips I will use ABRP and Leaf Spy and post the results. 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. Quote Link to post Share on other sites
Jilldris 1 Posted February 22, 2019 Share Posted February 22, 2019 5 hours ago, JohnT said: Feel free to complain Jason, you wont be alone 🙂 I can't speak for 40 kWh Leaf but for 24 KWh model the Leafspy SOC will be even more complex. I can show you data that indicates the relationship between SOC and dash%/gids is quite non linear below around 30% and temperature dependant. Yes it is very strange why they do like this. Someone that understands the reason for implementing these non-linear behaviours? Quote Link to post Share on other sites
Jilldris 1 Posted February 22, 2019 Share Posted February 22, 2019 5 hours ago, JohnT said: I don't have an expectation that ABRB and my car will agree to the nth degree of accuracy, but I agree that this looks like a bigger margin of error than one would like. I'll put a post on the NZ Leaf Owners FB page to see if I can encourage anyone else to contribute. There are only a small number of 40KWh models here - Nissan don't sell Leafs here and they come in on the second hand car market ex UK and Japan. Nice! I can put up a public google sheet were people can contribute. Can post the link in a swedish facebook group also. Quote Link to post Share on other sites
Jilldris 1 Posted February 22, 2019 Share Posted February 22, 2019 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 Quote Link to post Share on other sites
Jilldris 1 Posted February 23, 2019 Share Posted February 23, 2019 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. Quote Link to post Share on other sites
JohnT 0 Posted February 23, 2019 Share Posted February 23, 2019 20 hours ago, Jilldris said: 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. An other point to note is that SOH also comes into play. While your data is with consistent SOH, more generally the linear relationship is postulated to be dash% vs (Gid-Gmin)/(Gmax-Gmin)/SOH Quote Link to post Share on other sites
Jason-ABRP 180 Posted February 24, 2019 Author Share Posted February 24, 2019 Okay, so, the message I'm seeing is that assuming all our assumptions are correct, we should have a fairly close (within a couple percentage points) match to displayed SoC on the dash? Quote Link to post Share on other sites
Jilldris 1 Posted February 24, 2019 Share Posted February 24, 2019 @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? Quote Link to post Share on other sites
JohnT 0 Posted February 24, 2019 Share Posted February 24, 2019 1 hour ago, Jilldris said: @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? The equation that I have suggested would plot as a straight line with Y axis of dash%*SOH and X axis of Gids. The X axis value at y=0 would be Gmin and and y=100 would be Gmax. The assumption that Gids is available remaining energy is gospel in the 24 kWh battery world so the figures from the 40 kWh model are still a surprise to me 🙂 It makes me wonder if Nissan now put some other data out on the bus that Leafspy isn't looking for. The non linearity in your data looks much like the SOC behaviour in the data for my car. Pure speculation on my part though. Your hypothesis on what is happening with charge/recharge might be correct, an alternative is that SOH gets recalculated again when you restart charging and that causes the dash% to change. In the end we are probably saying much the same thing. Quote Link to post Share on other sites
moestaverne 0 Posted March 14, 2019 Share Posted March 14, 2019 Hello, I wanted to test the beautiful function. Unfortunately I get a URL error 03/13/2019 17:15:55 06 29 88 true URL = https://abetterrouteplanner.com:4441/leaf##, Error = unsupported URL is this URL correct? Quote Link to post Share on other sites
Stefan_K 2 Posted March 14, 2019 Share Posted March 14, 2019 49 minutes ago, moestaverne said: Hello, I wanted to test the beautiful function. Unfortunately I get a URL error 03/13/2019 17:15:55 06 29 88 true URL = https://abetterrouteplanner.com:4441/leaf##, Error = unsupported URL is this URL correct? https://abetterrouteplanner.com:4441/leaf40 Quote Link to post Share on other sites
Jason-ABRP 180 Posted March 14, 2019 Author Share Posted March 14, 2019 9 hours ago, Stefan_K said: https://abetterrouteplanner.com:4441/leaf40 Or whatever battery size you have. If it's a 30kWh, send it to leaf30, 24kWh send it to leaf24. Quote Link to post Share on other sites
moestaverne 0 Posted March 14, 2019 Share Posted March 14, 2019 Thanks for help, it works. Not all data fields are displayed, the temperature is too low. SoC is correct and the interval is correct. That's okay with me at the right time. Quote Link to post Share on other sites
Byron 0 Posted March 16, 2019 Share Posted March 16, 2019 Should I mess with the settings like change the 110 kph to 200wper km. should I ad 130kg if I’m that weight. What wind will I buy in? Is the base settings reliable? Quote Link to post Share on other sites
Jason-ABRP 180 Posted March 17, 2019 Author Share Posted March 17, 2019 You are absolutely welcome to mess with the settings! Weight is a relatively low-impact setting, unless you're driving in a lot of mountains. Adding wind accounts for the extra drag that's incurred by driving into the wind (or the lower drag by driving with the wind). My experience is that the base settings are very good for a "nice" day. If you're driving and you have live data, the planner should calibrate to the actual conditions you're driving in, and offer a replan after it has a chance to calibrate (if it becomes needed). Quote Link to post Share on other sites
moestaverne 0 Posted March 17, 2019 Share Posted March 17, 2019 Hi Jason, I can confirm to you that the calculation is very good. I drove a long distance on the weekend, where I could test extensively. Quote Link to post Share on other sites
geeknz 0 Posted May 7, 2019 Share Posted May 7, 2019 I haven't hooked this up to the car yet (2012 Leaf 24 SoH 70%), but I notice when using the planner with all the assumptions loaded, it gives a very optimistic charge time of around 9 minutes to get from say 15% to 61% and 10 minutes from 23% to 72%. I know from 3 years of driving this car, that it will never achieve those charge times. Is there a bug in the way these are calculated, or is there a lack of real world data from the older Leafs, or some other reason I've missed? Quote Link to post Share on other sites
Jason-ABRP 180 Posted May 8, 2019 Author Share Posted May 8, 2019 13 hours ago, geeknz said: I haven't hooked this up to the car yet (2012 Leaf 24 SoH 70%), but I notice when using the planner with all the assumptions loaded, it gives a very optimistic charge time of around 9 minutes to get from say 15% to 61% and 10 minutes from 23% to 72%. I know from 3 years of driving this car, that it will never achieve those charge times. Is there a bug in the way these are calculated, or is there a lack of real world data from the older Leafs, or some other reason I've missed? Interesting, to investigate could use some more information. In my experience with my wife's 2015 Leaf the charge times have been pretty close. Perhaps the Leaf throttles charge rates at high degradation? I do know the Leaf throttles when the battery is too hot, after multiple fast charges and we definitely don't account for that. What power levels do you observe when fast charging at a >50kW charger? Ideally, if we got a charge curve from you something like this one from FastNed we could incorporate that and improve our estimates: https://support.fastned.nl/hc/en-gb/articles/204784998-Charging-with-a-Nissan-Leaf-e-or-e-NV200 When I have some time I need to work through the analysis of the Leaf Data that's been sent in to see if I can build a real-world model from what I have access to. Since the LeafSpy data is somewhat limited, it'll be interesting to see what the results are. Quote Link to post Share on other sites
Younio 0 Posted May 13, 2019 Share Posted May 13, 2019 For 24kwh Leaf the battery does charge slower if the degradation is more than 20%. So it is better to stop more frequently but drive faster. From my recent experience in 700km trip I realized that the fastest way to go is to charge for 10-20 minutes from 15 to 70% and stop to charge each 50-60 km while going at maximum speed. Note that this will only be possible when the weather is below 10c. Otherwise the battery will get hot within 300 km and will not accept QCs anymore. Quote Link to post Share on other sites
Recommended Posts
Join the conversation
You can post now and register later. If you have an account, sign in now to post with your account.