Thanks to Mr. Miller, Ms. Muskett and Digi-key. Thanks also for archiving the class slides and lecture. Overall a good class that improved each day and came together very well. The example slides are well done and presentation audio ties it together. Certainly worth the review.
Power Monitoring is a good application example. It is a place where we may consider it heroic to save a few hundred micro Amps, but where we need to be thinking of saving 400 MWatts in each region of the country, be it from consumer, commercial, industrial, entertainment, municipal or other sources.
Be careful y'all with your battery charging designs!
@richwillaims- Yes the Internet of Things is going to have some very important low power requirements. I believe this is one of the major drivers for more Low Power MCUs and more advanced low power features. Once the wireless block becomes more integrated things become even more interesting (from a low power standpoint).
As the intiernet of things moves to mesh networks(like power meters), the power estimates need to include waking up to relay other nodes messages and an estimate of total network traffic. Not really a question, just a thought.
@Pat Mc- Great to hear that this will be useful in your design. make sure you check out the references I included at the end of the first 4 lectures. I think you will find that they provide even more details that will be useful.
@JSP- I don't really cover the types of processors your are asking about, but hopefully some of the techniques and triacks will still apply. Power off as much as you can (hopefully Enet, USB etc cab be powered off/down or at least gate the clocks) and make sure any external devices that are running off your battery are in low power states too. Could you use an external MCU to do the wake-up and put your processor in a really low power state? Wake time of your processor seems to be the big issue however.
So we've been talking about rinky-dinky little processors so far, but I wonder if there is going to be any mention about power-saving techniques with heavy-hitting ARM9/11 processors that can run at 400MHz, 700MHz (Pi), 1GHz (Cubieboard) with an embedded OS such as some Linux distro. I'm currently working on a project where I have to sleep this behemoth and then have it wake up to perform heavy-duty processing when an ext INT/rtcwake is applied. No, it doesn't have a user (interface, push-button finger) and it can't wait the 30 seconds+ while Linux/M$Win/whatever fires up. Any tips to power down all the usual PC-like junk USB/Ethernet/video/SSDs/CPU etc on these boards and have them not consume all the meagre battery capacity when not in use ?
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Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.