editor's blog
Subscribe Now

Switching Power Supplies Revamped

Bric_pic.jpgA big change is coming to a power supply near you.

At least, that’s what Semitrex is promising with their new TRONIUM family of power supply systems on a chip (PSSoCs). They’re doing some things differently, resulting in lower-power – and, in particular, lower-“vampire”-power – bricks.

The first difference is that they’re going capacitive; there’s no transformer. How do they handle breakdown issues? By using a cascade of smaller capacitors (which they say also reduces electromagnetic interference (EMI) ). They have an array, and they pick the caps to suit the necessary breakdown.

They haven’t been able to completely eliminate inductors, since the high-current caps they need require non-standard processing (apparently, the breakdown voltage is tied to RDSon, and they need to decouple that). They’re working with fabs on that one. So the caps are used for “pre-regulation.”

The second big change is how they do the sensing needed for control. These switching converters use pulse-width modulation to control the in/out voltage ratio, and – for no good reason, according to Semitrex – the sensing required for that control loop has traditionally been on the secondary side.

These more traditional units used transformers for isolation, meaning the primary and secondary side were  mutually isolated. The control is on the primary side, so you need a way to get the secondary sense signal back across the transformer without an electrical connection; this was typically done with an opto-isolator.

Instead, Semitrex is doing the sensing on the primary side. This eliminates several components from the bill of materials. (Although, if there’s no transformer, there isn’t isolation … some of these details and diagrams are pending their filing of patents, so not all is clear.)

Finally, they’ve integrated most everything into a single module, reducing the number of external components required. The algorithms are built in (they have a state machine for low-level  control and a microprocessor for higher-level algorithms). This saves cost, hassle, and lowers power.

They’re targeting supplies in the 10-100-W range, 50-500 mA. They claim less than 1 mW of standby power, and the chip can respond to a load in 3-5 ns. You can think of the standby power as the vampire power when it’s sitting around doing nothing useful. For comparison, Semitrex says that today’s idle power supplies can burn more than 100 mW (100 mW is apparently an upcoming US Dept. of Energy efficiency standard that they say many supplies today cannot meet).

You can read more in their announcement.

 

PS They tried to put some pronunciation help in the press release, but I have to confess that it confused me more than helping. They use stress marks, but indicate primary stress on the first and second syllables (you can’t have primary stress on more than one syllable), and then they show the middle syllable in caps – another way to indicate primary stress. They also have a double-stress mark on the last syllable… that would normally mean extra stress, which can’t be right. If I ignore the stress marks, then it’s “tron-EE-um.” If that’s the case, I’m not sure that will stick – my guess is that, without hearing it, everyone is going to say “TROH-nee-um.” (Or, more formally, “’tron-i-um” or “tron’-i-um”, depending on whether you pre- or-post-mark stress… seems both ways are done…) But I digress…

Leave a Reply

featured blogs
Nov 12, 2024
The release of Matter 1.4 brings feature updates like long idle time, Matter-certified HRAP devices, improved ecosystem support, and new Matter device types....
Nov 13, 2024
Implementing the classic 'hand coming out of bowl' when you can see there's no one under the table is very tempting'¦...

featured video

Introducing FPGAi – Innovations Unlocked by AI-enabled FPGAs

Sponsored by Intel

Altera Innovators Day presentation by Ilya Ganusov showing the advantages of FPGAs for implementing AI-based Systems. See additional videos on AI and other Altera Innovators Day in Altera’s YouTube channel playlists.

Learn more about FPGAs for Artificial Intelligence here

featured paper

Quantized Neural Networks for FPGA Inference

Sponsored by Intel

Implementing a low precision network in FPGA hardware for efficient inferencing provides numerous advantages when it comes to meeting demanding specifications. The increased flexibility allows optimization of throughput, overall power consumption, resource usage, device size, TOPs/watt, and deterministic latency. These are important benefits where scaling and efficiency are inherent requirements of the application.

Click to read more

featured chalk talk

Advanced Gate Drive for Motor Control
Sponsored by Infineon
Passing EMC testing, reducing power dissipation, and mitigating supply chain issues are crucial design concerns to keep in mind when it comes to motor control applications. In this episode of Chalk Talk, Amelia Dalton and Rick Browarski from Infineon explore the role that MOSFETs play in motor control design, the value that adaptive MOSFET control can have for motor control designs, and how Infineon can help you jump start your next motor control design.
Feb 6, 2024
53,355 views