Compact Power Management ICs Boast Low Standby Power

Maxim Integrated Products.offers a pair of power management ICs (PMICs) aimed at designers of Bluetooth headphones, activity monitors, smart garments, smartwatches, and other size-constrained devices where battery life and efficiency are priorities.

Maxim 9065

The MAX77650 and MAX77651 feature single inductor multiple output (SIMO) buck-boost regulators that provide three independently programmable power rails from a single inductor, 150mA LDO, and three current sink drivers to reduce overall component count and maximize available board space. For design flexibility, the MAX77650 operates up to 3.3V and the MAX77651 operates up to 5V—both include an analog multiplexer (MUX) output for safe battery monitoring, making them ideal for low-power designs.

Size is critical for hearables and wearables as they continue moving to smaller form factors. Most PMICs for these small, lithium-ion battery-operated devices require additional components, such as boost, buck, and low dropout (LDO) regulators; a charger; and current regulators for LED indicators. For space-savings and efficiency, Maxim has integrated all these functions into a complete power solution that is only 19.2mm2—less than 1/2 the size of existing component combinations.

Key Advantages

  • Lowest Standby Power: 0.3µA; 5.6µA operating current
  • High Efficiency: 3-output SIMO channels plus LDO extend Li+ battery life
  • Small Size: Multi-channel SIMO regulator reduces component count

Availability and Pricing

  • MAX77650/MAX77651 are available from stock and priced at $1.99 (1,000-up, FOB USA)
  • MAX77650EVKIT# and MAX77651EVKIT# are available from stock and priced at $193.63 each

Maxim Integrated Products.|

Zero-Drift Op Amp Consumes Only 1.3 μAmps

Analog Devices,  which recently acquired Linear Technology, has announced the LTC2063 zero-drift op amp which draws just 1.3μA typ (2μA max) on a 1.8V supply. This micropower amplifier maintains high precision: maximum input offset voltage is 5μV at 25°C, maximum drift is 0.06μV/°C from –40°C to 125°C. Maximum input bias current is 15pA at 25°C, and 100pA from –40°C to 125°C. These high precision input characteristics allow the use of large value feedback network resistors, keeping power consumption low without compromising accuracy, even at elevated temperature.


Rail-to-rail inputs and outputs simplify single supply use and enhance dynamic range. An integrated EMI filter provides 114dB electromagnetic interference rejection at 1.8GHz. With low 1/f noise inherent to its zero-drift architecture the LTC2063 is well suited for amplifying and conditioning low frequency sensor signals in high temperature industrial and automotive systems as well as portable and wireless sensor network applications.

The LTC2063 is available in SOT-23 and SC70 packages. The SC70 version includes a shutdown mode which reduces current consumption to just 90nA when the amplifier is not in use. This enables ultralow power duty cycled sensor applications. For example, a precision low duty cycle oxygen sensor circuit shown in the data sheet consumes less than 200nA average current.

The LTC2063 works well with Dust Networks’ SmartMesh wireless sensor networks, expanding the reach of precision measurements to places previously not practical. An example is the DC2369A wireless current sense reference board which uses the LTC2063 and LTP5901-IPM SmartMesh IP module and other micropower components to create an isolated floating current sense measurement platform which operates for years on small batteries.

The LTC2063 operates on supply voltages from 1.7V to 5.25V and is fully specified from –40°C to 125°C. Pricing starts at $1.50 each in 1,000-piece quantities.

Linear Technology |

Low Power NXP i.MX7 CPU Rides SMARC 2.0 Card

Kontron has introduced a new, extremely energy-efficient SMARC 2.0 module. Thanks to the use of low power NXP i.MX7 CPUs in both dual-core and single-core configurations the SMARC-sAMX7 is suitable for the development of smart devices in a very compact and fanless design. This approach, which balances processor and graphics performance while retaining a very low energy footprint, is especially useful in Internet of Things (IoT) and Industry 4.0 applications. The presence of two Ethernet ports directly on the board facilitates networking.

Kontron smarc-samx7_front_per

The SMARC-sAMX7 features a 2×1 GHz ARM Cortex A7 processor with an additional 200 MHz M4 processor in dual-core configuration, the single-core version runs at 800 MHz. It comes with up to 2 Gbytes DDR3 memory, a dual channel LVDS interface, up to two Gbit Ethernet, three PCI-Express (PCIe) and four USB 4.0 ports. A 64 Gbyte eMMC 5.0 is used as onboard storage. The SMARC-sAMX7 utilizes the Uboot bootloader and supports Yocto Linux as operating system. It is fully operational in an extended temperature range from -20°C up to +85°C.

Kontron |

Small, Self-Contained GNSS Receiver

TM Series GNSS modules are self-contained, high-performance global navigation satellite system (GNSS) receivers designed for navigation, asset tracking, and positioning applications. Based on the MediaTek chipset, the receivers can simultaneously acquire and track several satellite constellations, including the US GPS, Europe’s GALILEO, Russia’s GLONASS, and Japan’s QZSS.

LinxThe 10-mm × 10-mm receivers are capable of better than 2.5-m position accuracy. Hybrid ephemeris prediction can be used to achieve less than 15-s cold start times. The receiver can operate down to 3 V and has a 20-mA low tracking current. To save power, the TM Series GNSS modules have built-in receiver duty cycling that can be configured to periodically turn off. This feature, combined with the module’s low power consumption, helps maximize battery life in battery-powered systems.

The receiver modules are easy to integrate, since they don’t require software setup or configuration to power up and output position data. The TM Series GNSS receivers use a standard UART serial interface to send and receive NMEA messages in ASCII format. A serial command set can be used to configure optional features. Using a USB or RS-232 converter chip, the modules’ UART can be directly connected to a microcontroller or a PC’s UART.

The GPS Master Development System connects a TM Series Evaluation Module to a prototyping board with a color display that shows coordinates, a speedometer, and a compass for mobile evaluation. A USB interface enables simple viewing of satellite data and Internet mapping and custom software application development.
Contact Linx Technologies for pricing.

Linx Technologies

Q&A: Marilyn Wolf, Embedded Computing Expert

Marilyn Wolf has created embedded computing techniques, co-founded two companies, and received several Institute of Electrical and Electronics Engineers (IEEE) distinctions. She is currently teaching at Georgia Institute of Technology’s School of Electrical and Computer Engineering and researching smart-energy grids.—Nan Price, Associate Editor

NAN: Do you remember your first computer engineering project?

MARILYN: My dad is an inventor. One of his stories was about using copper sewer pipe as a drum memory. In elementary school, my friend and I tried to build a computer and bought a PCB fabrication kit from RadioShack. We carefully made the switch features using masking tape and etched the board. Then we tried to solder it and found that our patterning technology outpaced our soldering technology.

NAN: You have developed many embedded computing techniques—from hardware/software co-design algorithms and real-time scheduling algorithms to distributed smart cameras and code compression. Can you provide some information about these techniques?

Marilyn Wolf

Marilyn Wolf

MARILYN: I was inspired to work on co-design by my boss at Bell Labs, Al Dunlop. I was working on very-large-scale integration (VLSI) CAD at the time and he brought in someone who designed consumer telephones. Those designers didn’t care a bit about our fancy VLSI because it was too expensive. They wanted help designing software for microprocessors.

Microprocessors in the 1980s were pretty small, so I started on simple problems, such as partitioning a specification into software plus a hardware accelerator. Around the turn of the millennium, we started to see some very powerful processors (e.g., the Philips Trimedia). I decided to pick up on one of my earliest interests, photography, and look at smart cameras for real-time computer vision.

That work eventually led us to form Verificon, which developed smart camera systems. We closed the company because the market for surveillance systems is very competitive.
We have started a new company, SVT Analytics, to pursue customer analytics for retail using smart camera technologies. I also continued to look at methodologies and tools for bigger software systems, yet another interest I inherited from my dad.

NAN: Tell us a little more about SVT Analytics. What services does the company provide and how does it utilize smart-camera technology?

MARILYN: We started SVT Analytics to develop customer analytics for software. Our goal is to do for bricks-and-mortar retailers what web retailers can do to learn about their customers.

On the web, retailers can track the pages customers visit, how long they stay at a page, what page they visit next, and all sorts of other statistics. Retailers use that information to suggest other things to buy, for example.

Bricks-and-mortar stores know what sells but they don’t know why. Using computer vision, we can determine how long people stay in a particular area of the store, where they came from, where they go to, or whether employees are interacting with customers.

Our experience with embedded computer vision helps us develop algorithms that are accurate but also run on inexpensive platforms. Bad data leads to bad decisions, but these systems need to be inexpensive enough to be sprinkled all around the store so they can capture a lot of data.

NAN: Can you provide a more detailed overview of the impact of IC technology on surveillance in recent years? What do you see as the most active areas for research and advancements in this field?

MARILYN: Moore’s law has advanced to the point that we can provide a huge amount of computational power on a single chip. We explored two different architectures: an FPGA accelerator with a CPU and a programmable video processor.

We were able to provide highly accurate computer vision on inexpensive platforms, about $500 per channel. Even so, we had to design our algorithms very carefully to make the best use of the compute horsepower available to us.

Computer vision can soak up as much computation as you can throw at it. Over the years, we have developed some secret sauce for reducing computational cost while maintaining sufficient accuracy.

NAN: You wrote several books, including Computers as Components: Principles of Embedded Computing System Design and Embedded Software Design and Programming of Multiprocessor System-on-Chip: Simulink and System C Case Studies. What can readers expect to gain from reading your books?

MARILYN: Computers as Components is an undergraduate text. I tried to hit the fundamentals (e.g., real-time scheduling theory, software performance analysis, and low-power computing) but wrap around real-world examples and systems.

Embedded Software Design is a research monograph that primarily came out of Katalin Popovici’s work in Ahmed Jerraya’s group. Ahmed is an old friend and collaborator.

NAN: When did you transition from engineering to teaching? What prompted this change?

MARILYN: Actually, being a professor and teaching in a classroom have surprisingly little to do with each other. I spend a lot of time funding research, writing proposals, and dealing with students.

I spent five years at Bell Labs before moving to Princeton, NJ. I thought moving to a new environment would challenge me, which is always good. And although we were very well supported at Bell Labs, ultimately we had only one customer for our ideas. At a university, you can shop around to find someone interested in what you want to do.

NAN: How long have you been at Georgia Institute of Technology’s School of Electrical and Computer Engineering? What courses do you currently teach and what do you enjoy most about instructing?

MARILYN: I recently designed a new course, Physics of Computing, which is a very different take on an introduction to computer engineering. Instead of directly focusing on logic design and computer organization, we discuss the physical basis of delay and energy consumption.

You can talk about an amazingly large number of problems involving just inverters and RC circuits. We relate these basic physical phenomena to systems. For example, we figure out why dynamic RAM (DRAM) gets bigger but not faster, then see how that has driven computer architecture as DRAM has hit the memory wall.

NAN: As an engineering professor, you have some insight into what excites future engineers. With respect to electrical engineering and embedded design/programming, what are some “hot topics” your students are currently attracted to?

MARILYN: Embedded software—real-time, low-power—is everywhere. The more general term today is “cyber-physical systems,” which are systems that interact with the physical world. I am moving slowly into control-oriented software from signal/image processing. Closing the loop in a control system makes things very interesting.

My Georgia Tech colleague Eric Feron and I have a small project on jet engine control. His engine test room has a 6” thick blast window. You don’t get much more exciting than that.

NAN: That does sound exciting. Tell us more about the project and what you are exploring with it in terms of embedded software and closed-loop control systems.

MARILYN: Jet engine designers are under the same pressures now that have faced car engine designers for years: better fuel efficiency, lower emissions, lower maintenance cost, and lower noise. In the car world, CPU-based engine controllers were the critical factor that enabled car manufacturers to simultaneously improve fuel efficiency and reduce emissions.

Jet engines need to incorporate more sensors and more computers to use those sensors to crunch the data in real time and figure out how to control the engine. Jet engine designers are also looking at more complex engine designs with more flaps and controls to make the best use of that sensor data.

One challenge of jet engines is the high temperatures. Jet engines are so hot that some parts of the engine would melt without careful design. We need to provide more computational power while living with the restrictions of high-temperature electronics.

NAN: Your research interests include embedded computing, smart devices, VLSI systems, and biochips. What types of projects are you currently working on?

MARILYN: I’m working on with Santiago Grivalga of Georgia Tech on smart-energy grids, which are really huge systems that would span entire countries or continents. I continue to work on VLSI-related topics, such as the work on error-aware computing that I pursued with Saibal Mukopodhyay.

I also work with my friend Shuvra Bhattacharyya on architectures for signal-processing systems. As for more unusual things, I’m working on a medical device project that is at the early stages, so I can’t say too much specifically about it.

NAN: Can you provide more specifics about your research into smart energy grids?

MARILYN: Smart-energy grids are also driven by the push for greater efficiency. In addition, renewable energy sources have different characteristics than traditional coal-fired generators. For example, because winds are so variable, the energy produced by wind generators can quickly change.

The uses of electricity are also more complex, and we see increasing opportunities to shift demand to level out generation needs. For example, electric cars need to be recharged, but that can happen during off-peak hours. But energy systems are huge. A single grid covers the eastern US from Florida to Minnesota.

To make all these improvements requires sophisticated software and careful design to ensure that the grid is highly reliable. Smart-energy grids are a prime example of Internet-based control.

We have so many devices on the grid that need to coordinate that the Internet is the only way to connect them. But the Internet isn’t very good at real-time control, so we have to be careful.

We also have to worry about security Internet-enabled devices enable smart grid operations but they also provide opportunities for tampering.

NAN: You’ve earned several distinctions. You were the recipient of the Institute of Electrical and Electronics Engineers (IEEE) Circuits and Systems Society Education Award and the IEEE Computer Society Golden Core Award. Tell us about these experiences.

MARILYN: These awards are presented at conferences. The presentation is a very warm, happy experience. Everyone is happy. These things are time to celebrate the field and the many friends I’ve made through my work.

Low-Power, High-Efficiency Boost Regulator

The TS3300 is an ultra-low-power, load-independent, high-efficiency boost regulator. It operates from supply voltages as low as 0.6 up to 4.5 V and can deliver at least 75 mA of continuous output current.

The TS3300 can be powered from a variety of power sources including single- or multiple-cell alkaline or single Li-chemistry batteries. The boost regulator’s output voltage range can be user-specified from 1.8 to 5.25 V to simultaneously power a range of low-power analog circuits, microcontrollers, and low-energy Bluetooth radios. The TS3300 produces a 3-V output from a 1.2-V input source. Its efficiency performance is constant over a 100:1 span in output current. To power low-energy radios, the TS3300’s internal, low-dropout linear regulator can deliver up to 100 mA output current while reducing boost-converter-generated output voltage ripple.

Drawing only 3.5 µA no-load supply current, the TS3300 is ideal for “always on” and other battery-powered or portable applications where an extended battery run-time is required. The TS3300 operates from low power sources (e.g., photovoltaic cells to three alkaline cells) and is ideally suited for handheld/portable applications (e.g., wireless remote sensors, RFID tags, wireless microphones, solar cell post-regulator/chargers, post-regulators for energy harvesting, blood glucose meters, and personal health-monitoring devices).

The TS3300 is fully specified over the –40°C-to-85°C temperature range and is available in a low-profile, thermally-enhanced 16-pin 3mm × 3mm TQFN package with an exposed backside paddle. The TS3300 costs $0.85 in 1,000-unit quantities.

Touchstone Semiconductor