mkjayakumar
Well-known member
Nope only once. And then i gave the GID meter to someone else to check their car capacity.
Cheezmo said:Did you measure the gids several times over several days? Remember when I borrowed that same meter, my first measurement was sub 270, but over the next couple of days each reading crept higher until I got 274 or so I believe.
Wow - I did not see Nissan being your mystery benefactor for this test! Good on them!TonyWilliams said:I am happy to report that Nissan has agreed to a reimbursement of $2,593.67 for expenses related to this test.
TonyWilliams said:I am happy to report that Nissan has agreed to a reimbursement of $2,593.67 for expenses related to this test.
I will receive $965.49.
Nissan has also now bought back 4 of the 12 cars tested.
Now that's what I call a goodwill gesture! Way to step up, Nissan!TonyWilliams said:I am happy to report that Nissan has agreed to a reimbursement of $2,593.67 for expenses related to this test.
I will receive $965.49.
Nissan has also now bought back 4 of the 12 cars tested.
TonyWilliams said:I am happy to report that Nissan has agreed to a reimbursement of $2,593.67 for expenses related to this test.
+1Volusiano said:I hope this token of good will gesture is a good start but it doesn't end there. I truly hope Nissan will continue with a general good will remedy to all early adopters who bought the car but suffer early capacity loss. I truly think a pro-rated battery swap plan will go a long way in restoring good will with early adopters.
jspearman said:TonyWilliams said:I am happy to report that Nissan has agreed to a reimbursement of $2,593.67 for expenses related to this test.
I will receive $965.49.
Nissan has also now bought back 4 of the 12 cars tested.
Wow! Congratulations. Glad to hear Nissan doing something right in all this. Interesting that 4/12 cars have been bought back, which means 2 besides Scott and Azdre/Opossum. Did the other buybacks also go through the lemon law process?
I think they didn't see the need to do that, they probably already know the answer: Arizona and the Leaf are not a good fit.DaveinOlyWA said:being the one of the contenders for "Nissan fanboy of the year" i have to say i am disappointed. Nissan may have done right by alleviating any financial burden for those involved, but to me its more of a surrender. I wanted to see Nissan come out and start pulling packs to analyze them, replacing packs, etc. to find some answers
Stoaty said:I think they didn't see the need to do that, they probably already know the answer: Arizona and the Leaf are not a good fit.DaveinOlyWA said:being the one of the contenders for "Nissan fanboy of the year" i have to say i am disappointed. Nissan may have done right by alleviating any financial burden for those involved, but to me its more of a surrender. I wanted to see Nissan come out and start pulling packs to analyze them, replacing packs, etc. to find some answers
Many, but not all.TonyWilliams said:Phoenix buyers and leasees might have reached the same conclusion, had they known that the battery would be at End Of Life in 4 years with just normal 12,000 mile driving.
One small correction: based on Nissan's own data and my battery aging model developed from their data, 12500 miles per year in Phoenix has a predicted End of Life of 5 years.TonyWilliams said:Phoenix buyers and leasees might have reached the same conclusion, had they known that the battery would be at End Of Life in 4 years with just normal 12,000 mile driving.
So you are saying that a LEAF with 66% more mileage and 3X the calendar life as Scott's car will have less degradation? That doesn't add up to me. Perhaps I am missing something...Stoaty said:One small correction: based on Nissan's own data and my battery aging model developed from their data, 12500 miles per year in Phoenix has a predicted End of Life of 5 years.
No, I am saying that based on the data Nissan provided this will be the case. One outlier does not a model break. Perhaps he kept his car at 100% SOC most of the time. Maybe he parked in the baking sun day after day. Perhaps he drove like a maniac and had a very low miles per kwh and thus cycled his battery a lot more. Perhaps he had his car painted in a 150 degree oven. Or maybe we just don't know the reason. As I said in another thread, my model predicts TickTock's capacity to within 1%. I hope to add other factors to the model if I can have a reasonable idea that the numbers will be meaningful.RegGuheert said:I am glad to hear that Nissan is reimbursing expenses for the test! That is an outstanding gesture of good will!So you are saying that a LEAF with 66% more mileage and 3X the calendar life as Scott's car will have less degradation? That doesn't add up to me. Perhaps I am missing something...Stoaty said:One small correction: based on Nissan's own data and my battery aging model developed from their data, 12500 miles per year in Phoenix has a predicted End of Life of 5 years.
I have provided several criticisms of the model in other threads. Here is a succinct summary:Stoaty said:No, I am saying that based on the data Nissan provided this will be the case.
Agreed. But with only a couple of hundred LEAFs in AZ over 12 months old, there have been 4 buy-backs. That indicates to me these cars are not far outliers, but are within about 2-sigma of the mean.Stoaty said:One outlier does not a model break.
Sure, we can speculate like that, but we also know of extremely pampered LEAFs in Phoenix that lost a bar after 18 months.Stoaty said:Perhaps he kept his car at 100% SOC most of the time. Maybe he parked in the baking sun day after day. Perhaps he drove like a maniac and had a very low miles per kwh and thus cycled his battery a lot more. Perhaps he had his car painted in a 150 degree oven. Or maybe we just don't know the reason.
Just as one outlier does not a model break, one fitting data point does not a model make. This is particularly true since we have no idea which part of the distribution TickTick's LEAF occupies.Stoaty said:As I said in another thread, my model predicts TickTock's capacity to within 1%.
I appreciate all your efforts in building a model for LEAF degradation! I hope that you don't take my criticisms of the model's predictions as an indication that your efforts are not appreciated! Keep up the good work!Stoaty said:I hope to add other factors to the model if I can have a reasonable idea that the numbers will be meaningful.
Stoaty said:One small correction: based on Nissan's own data and my battery aging model developed from their data, 12500 miles per year in Phoenix has a predicted End of Life of 5 years.TonyWilliams said:Phoenix buyers and leasees might have reached the same conclusion, had they known that the battery would be at End Of Life in 4 years with just normal 12,000 mile driving.
X = Nissan's Current (October 2012) Revised
Phoenix Battery Degradation Projections
New Car Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 Year 7
0 miles 7500 15000 22500 30000 37500 45000 52750
0 km 12070 24140 36210 48280 60350 72420 84490
100% X
95%
90% X
86.5% # X
83% X
79.5%% # X
76% # X
72.5% X
#
69% X
# = Normal drivers at 12,500 miles/annum in Phoenix
New Car Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 Year 7
0 miles 12500 25000 37500 50000 62500 75000 87500
0 km 20116 40233 60350 80467 100584 120701 140817
I don't know whether that is true until I complete my model and test other cases--and that is the next item on my list. Note that the 5 year EOL prediction was for city type driving (high miles per kwh). If you plug in lower values, my model will give a worse outcome. So perhaps I should have said 5 years EOL driving 12500 miles per year with average 4.68 miles/kwh from the dash. If someone gets 3.5 miles/kwh it will worsen the degradation significantly for the same amount of miles in my model. I hope to have an easy way to get actual numbers from the inputs by the weekend.RegGuheert said:We have data from several posters here that are far worse than what is predicted by the model.
Stoaty said:PS Criticism OK. I am doing the best I can with the information I have. Once I add the miles/kwh I think you will find that my model is a reasonable predictor for most of the cases we have (but I won't know for sure until I set this part up).