DoxyLover said:
As a comparison, my 2011 lives in San Jose, CA (aging factor 0.90, although I'm south of downtown and it's typically 5F hotter in the summer, so the actual factor is probably higher). After ~17 months and 20K miles, my latest 100% charge GID reading is 265 for only 6% lost (no bars lost, of course). No special servicing by Nissan or anyone else.
It appears that there are more factors involved. The near-coastal California Leafs with lost bars may well be outliers.
Thanks for that datapoint. The second largest contributing factor is believed to be solar loading. This would be consistent with a larger number of LEAFs south of the 34th parallel being affected. The climatic data used in the model assumed that the car will be parked outside and away from the sun. If that's not the case, then the model would have to be adjusted to reflect your particular situation.
While the effects of microclimates are not to be underestimated, I don't believe that a few miles distance from San Jose are going to have a large impact. However, storage conditions, both overnight and during the day, will likely make themselves noticeable.
There is one known bar loser in the SF Bay Area: Fabio. He commutes from the Peninsula to San Jose and parks the LEAF in an open lot during the day. I don't believe that we had a recent Gid count for his vehicle. Then there is GeekEV in the vicinity of Sacramento, which is supposed to have an aging factor of 0.96.
Please have a look at this
research report from NEC, Nissan's partner in the AESC joint venture. Note that on page 62 the following factors are considered:
- battery SOC cycle over a 24-hour period
- temperature
- climate based on ambient temperatures in three cities
The format and the overall approach is strikingly similar to the aging model Stoaty compiled based on the available data last year. How accurate this model will prove to be, we don't really know. It was an educated guess created to fill a void. It would be great if Nissan and AESC would help owners understand these effects with the help of their extensive collection of data, but there has been little movement in this regard.
In some sense, the capacity warranty did implicitly validate some of these assumptions, just like JP said upthread. It's the best information we have, and hopefully it will get better over time.