This is actually fitting reality in bikes, cars, tools, etc. So I basically agree with her, we need to look at our predictive modeling,
But wow - people give the battery hate a rest.
Reality is that things that can rebalance intercalated ions, and operations thst keep a higher SOC or, more importantly, a more narrow band of soc will be healthier. I agree thst modeling that evaluates stress/strain of the anode, and impedance growth due to time at temperature will be telling.
There are a million other manufacturing and component related failures thst come into play too.
She's likely researching what she's paid to research and potentially publishing findings as per 'expectations' from said research. Most what she says is common sense anyway.
That can be true, but in science like this, unless it’s from someone with a climate or sales agenda, most folks want to actually get to objective truth. The NSF program director pipeline may be a good old boys network, but it doesn’t mean that the science is false.
The article brings up some interesting points.
However I don't think its completely accurate for a very simple reason - the big EV manufacturers already have way more data than any lab study is going to produce. So they already know the likely longevity, and have optimized the charge profile to the use case, and there probably already cheapening the batteries to benefit from what they know.
Shorter - as usual the academics are behind.
It’s incredibly hard to make heads and tails of those data. It’s no different than when we ask about what oil is best or can we tell the difference between oil a and b in wear testing, and the answer usually is no, thst some ppm of wear metal is statistically the same and won’t make a difference in observed engine longevity. There are too many variables, which is why specific characterization tests are desirable. Those coupled with smarte algorithms and data analytics may yield better outcomes in time…
Sounds great on paper but the reality is far too many researchers genuflect to the entity funding the research. The pressure to receive funding at many higher education research-based institutions is immense. That weight is suffocating to pure, unbiased research.
You’re not wrong, often researchers hungry for money… and remember that research expenditures are the real golden goose and key metric for most university professors looking to progress their career… will speak the outlook of the program officer resourcing their work. And will study to observe the outcome that the funding is attempting to observe or prove. But if it isn’t real - that’s not to say that the science will be misleading or lying…
Some early Model S buyers used them as airport limousines, supercharging them from near "empty" to 100% several times a day and then running long distances on the freeway. And those batteries were lasting 200 - 250,000 miles.
According to this study, that type of limousine service would be an even worse case situation (for extended battery life) than we had thought.
thing is, there is calendar life and cycle life. Both have their effects. If the battery is suitably derated, and kept cool, cycle life can be not that big of a deal…
