Low dropout voltage regulator packs performance into small footprint

Trade-offs between quiescent current, output power, dynamic response, and package size are relieved, says STMicroelectronics at the launch of its STLQ020 low dropout (LDO) voltage regulator.

By combining small size with high performance and energy efficiency, the STLQ020 is particularly suitable for use in battery-powered consumer products like smartphones and tablets, smart watches, audio or media devices, and wearables. It helps extend battery life in IoT endpoints such as smart meters and wireless sensors, healthcare devices like wearable monitors, and industrial applications such as factory automation or sensor networking.

Drawing just 300nA quiescent current (Iq), and capable of supplying up to 200mA to the load, power-supply rejection (PSRR), and transient response, the STLQ020 is available in a choice of compact packages which can be as small as a 0.8 x 0.8mm flip-chip4.

The STLQ020’s dedicated low-power design and adaptive bias circuitry is claimed to ensure fast response and a stable output with high PSRR. In addition, dropout voltage as low as 160mV (typical) at maximum load allows longer equipment runtimes as the battery discharges. The 5nA logic-controlled shutdown mode allows the STLQ020 to extend the interval between coin-cell replacements in low-duty-cycle applications, like remote sensors.

With an input voltage range of 2.0 to 5.5V, the STLQ020 can be powered directly from a suitable battery voltage (VBAT) or logic rail. The output voltage can be set between 0.8 and 4.5V, with either fixed-output or adjustable-output versions available. The fixed output voltages are selectable in 50mV increments.

The STLQ020 is in production now, and available as a 2.0 x 2.0mm DFN6, 0.8 x 0.8mm flip-chip4, or 2.1 x 2.0mm SOT323-5L.

A quad-LDO evaluation board (STEVAL-LDO001V1) based on STLQ020 and three other low-dropout (LDO) voltage regulators are available to order.

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Low power microcontroller duo extends battery-powered sensors and wearables

Two microcontrollers from Maxim Integrated, the MAX32660 and MAX32652 are based on the low-power Arm Cortex-M4F. They are suitable for wearable sensors and battery-powered applications such as IoT sensors, environmental sensors, smartwatches, medical/preventive health wearables, and other size-constrained devices.

The MAX32660 and MAX32652 microcontrollers provide designers with the means to develop advanced applications under restrictive power constraints, says the company. Maxim’s family of Darwin microcontrollers combine its wearable-grade power technology with the biggest embedded memories in their class and what the company claims is some of the most advanced embedded security in the world.

The MAX32660 is characterised by powerful processing in a tiny form factor. Memory, size, power consumption, and processing power are critical features for engineers designing complex algorithms for smarter IoT applications. Existing solutions either have sufficient power consumption but limited processing and memory capabilities, or if they have higher power consumption there are more powerful processors and more memory. The MAX32660 offers designers access to enough memory to run some advanced algorithms and manage sensors (256kbyte flash and 96kbyte SRAM). They also offer power performance down to 50-microW/MHz), and a small form factor of 1.6 x 1.6mm in a WLP. They are also available at a cost-effective price point, adds Maxim, enabling engineers to build more intelligent sensors and systems that are smaller and lower in cost, while also providing a longer battery life.

The MAX32652 is a low power microcontroller with scalable memory. As IoT devices become more intelligent, they require more memory and additional embedded processors which can each be expensive and power-hungry, explains Maxim. The MAX32652 offers an alternative for designers with the low power consumption of an embedded microcontroller with the capabilities of a higher powered applications processor. With 3Mbyte flash and 1Mbyte SRAM integrated on-chip and running up to 120MHz, the MAX32652 can be used in IoT devices that strive to do more processing and provide more intelligence. Integrated high-speed peripherals such as high-speed USB 2.0, secure digital (SD) card controller, a thin-film transistor (TFT) display controller, and a security engine position are integrated. With the added capability to run from external memories over HyperBus or XcellaBus, the MAX32652 can be designed to do even more tomorrow, providing designers a future-proof memory architecture and anticipating the increasing demands of smart devices, Maxim believes.  

MAX32660EVKIT# and MAX32652EVKIT# evaluation kits are also both available via Maxim’s website.

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Software brings Amazon Alexa to connected objects

The X-Cube-AVS software package from STMicroelectronics enables Amazon’s Alexa Voice Service (AVS) to run on STM32 microcontrollers This means, simple connected objects such as smart appliances, home-automation devices, and office products, can support advanced conversational user interfaces with Cloud-based intelligence like automatic speech recognition and natural-language understanding.

The expansion package for the STM32Cube software platform, X-Cube-AVS contains ready-to-use libraries and open routines that accelerate porting the AVS software development kit (SDK) to the microcontroller. Application samples are also included. The software abstracts developers from the complex software layers needed to host AVS on an embedded device. STMicroelectronics claims that this is the first package to cater specifically for microcontrollers. In contrast, AVS development usually targets more power-hungry and expensive microprocessors. As a result, X-Cube-AVS makes Alexa technology accessible to a wider spectrum of developers and projects, says STMicroelectronics.

The software handles low-layer communication and connection to AVS servers. It provides application-specific services, and encapsulates the AVS protocol to ease application implementation. Connection management includes a persistent-token mechanism for directly restoring connection losses without repeated user authentication. A software test harness is for endurance testing, which can simulate events such as network disconnection to facilitate robustness testing and validation of the user application.

X-Cube-AVS comes with a demonstration example for the STM32F769 Discovery kit which shows how to connect a simple smart-speaker to AVS, leveraging the board-configuration interface included in the software. X-Cube-AVS can be used with other STM32F7 microcontrollers, or any STM32 device with adequate CPU performance and memory to run the AVS SDK.

X-Cube-AVS is available now to download, free of charge, from the STMicroelectronics website.

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IHS Markit Identifies Top Trends Driving the IoT in 2018 and Beyond

Number of connected IoT devices to top 31 billion in 2018

LONDON (February 1, 2018) – Driven by the need for intelligent connected devices in industrial and commercial applications, the number of connected Internet of Things (IoT) devices globally will grow to more than 31 billion in 2018, according to new analysis from business information provider IHS Markit (Nasdaq: INFO). The commercial and industrial sector, powered by building automation, industrial automation and lighting, is forecast to account for about half of all new connected devices between 2018 and 2030.

“The IoT is not a recent phenomenon, but what is new is it’s now working hand in hand with other transformative technologies like artificial intelligence and the cloud,” said Jenalea Howell, research director for IoT connectivity and smart cities at IHS Markit. “This is fueling the convergence of verticals such as industrial IoT, smart cities and buildings, and the connected home, and it’s increasing competitiveness.”

In its latest IoT Trend Watch report, IHS Markit identifies four key drivers and the trends that will impact the IoT this year and beyond:

Innovation and competitiveness

  • The IoT opportunity has attracted numerous duplicative and overlapping wireless solutions such as Bluetooth, Wi-Fi, 5G, NB-IoT, LoRa and Sigfox. Standards consolidation lies ahead, but confusion and fragmentation will dominate in the near term.
  • Enterprises are leveraging the location of data as a competitive advantage — and as a result, a hybrid approach to cloud and data center management is taking hold. More and more companies will employ both on-premises data centers and off-premises cloud services to manage their IT infrastructure.

Business models

  • 5G builds upon earlier investments in M2M (machine-to-machine) and traditional IoT applications, enabling significant increases in economies of scale that drive adoption and utilization across all sectors of industry. Improved low-power requirements, the ability to operate on licensed and unlicensed spectrum, and better coverage will drive significantly lower costs across the IoT.
  • Cellular IoT gateways, which facilitate WAN connectivity, will be integral to edge computing deployments. 2018 will bring increased focus on compute capabilities and enhanced security for cellular IoT gateways.

Standardization and security

  • Cybersecurity is a leading concern for IoT adopters. IoT deployments face critical cybersecurity risks because there are potentially many more IoT devices to secure compared to traditional IT infrastructure devices, presenting increased risk to traditional communications and computing systems, as well as physical health and safety.
  • Despite the promise it holds, blockchain — a technology for securely storing and transferring data — is not a panacea. Initially, IoT applications for blockchain technology will focus on asset tracking and management.

Wireless technology innovation

  • IoT platforms are becoming more integrated. Currently, there are more than 400 IoT platform providers. Many vendors are using integration to compete more effectively, providing highly integrated functionality for IoT application developers and adopters.
  • Significant innovation will occur when IoT app developers can leverage data from myriad deployed sensors, machines and data stores. A key inflection point for the IoT will be the gradual shift from the current “Intranets of Things” deployment model to one where data can be exposed, discovered, entitled and shared with third-party IoT application developers.

IHS Markit provides insight and analysis for more than 25 connectivity technologies in 34 application segments used for the IoT. For more information on wireless connectivity technologies and the opportunities offered by the IoT, visit The Evolving Internet of Things or call +1 844 301 7334.

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