Nordic introduces first PMIC for tight spaces

Nordic Semiconductor’s first power management device is the nPM1100, a power management integrated circuit (PMIC). It combines a USB compatible Li-ion/Li-Po battery charger and DC/DC buck regulator in a compact WLCSP for space-constrained applications.

The low IQ PMIC for the company’s nRF52/nRF53 series SoCs and other compatible devices. The 400mA battery charger and 150mA DC/DC step down regulator is integrated with a USB-compatible input regulator with overvoltage protection in a WLCSP which measures 2.075 x 2.075mm. The PMIC ensures reliable power supply and stable operation for the nRF52 and nRF53 series multi-protocol SoCs and maximises the application battery life, says Nordic. It can be used as a generic PMIC for any application using rechargeable Lithium Ion or Lithium Polymer batteries.  Its form factor makes it suitable for wearables, connected medical devices, and other space-constrained applications.

The nPM1100’s battery charger can bypass the first regulator stage of Bluetooth Low Energy (BLE) applications based on nRF52 and nRF53 SoCs. In this configuration the buck regulator’s high efficiency reduces overall system power consumption while its 150mA current capability increases the current available for other system components from approximately 10 to 100mA.

The nPM1100 features a low quiescent current (IQ) of 700nA (typicall) which can be further reduced to 470nA in “ship mode” (i.e disabling the power output, removing the need for an external power switch), which minimises battery lifetime impact on products in transit. The power management solution takes up as little as 23mm2 of PCB area, including passive components (rising to 27mm2 when optimised for performance).

The nPM1100 input regulator draws its power from either a 4.1 to 6.6V USB input or from a 2.3 to 4.35V connected battery input. It can supply a 3.0 to 5.5V unregulated voltage to the application at up to 500mA output current. The PMIC supports USB standard downstream port (SDP), charging downstream port (CDP) and dedicated charger port (DCP) detection. The input regulator includes over-voltage protection for transient voltage spikes up to 20V.

The battery charger is JEITA-compliant and will charge the application’s Li-ion/Li-Po battery with a resistor-selectable charge current from 20 to 400mA and a selectable termination voltage of 4.1 or 4.2V. The charger includes battery thermal protection and automatic selection from three charging modes: automatic trickle, constant current and constant voltage. The charger also features a discharge current limitation.

The DC/DC buck voltage regulator runs at more than 90 per cent efficiency down to below 100 microA load current. It takes its power from the input system regulator and provides up to 150mA current at a selectable 1.8, 2.0, 2.7 or 3.0V regulated output voltage. The regulator features soft start up and automatic transition between hysteretic and pulse width modulation (PWM) modes. It also supports a forced PWM mode for clean power operation.

No configuration software is required as all settings are pin configurable. The PMIC is compatible with all devices designed to operate within the output voltages and supply currents the chip can deliver. The product’s operating temperature range is -40 to 85 degrees C.

Nordic also offers the nPM1100 evaluation kit with switches for all selectable settings, buttons to enter and exit ship mode and connectors for batteries, USB and headers for all pins on the PMIC. It can be powered by USB via the on-board micro-USB port, from an external DC power supply through header pins or from battery power via the battery connectors on one of the headers.

http://www.nordicsemi.com

> Read More

Development kit brings voice control indoors to appliances

To enable far-field voice recognition to its FamilyHub connected hub for smart appliance, Samsung has selected the AISonic development kit to adds voice control to smart home appliances.

Knowles supplies micro-acoustic microphones and speakers, audio processing, and precision devices and the development kit is designed to enable fast and easy voice integration for smart appliances. OEMs and ODMs can build voice-activated control and far-field speech recognition capabilities into smart appliances, such as refrigerators, ovens and microwaves, clothes washing and drying machines, vacuums and dishwashers.

The AISonic White Goods Standard Solution is a development package built on Knowles’ AISonic Audio Edge Processor IA8201 for contextual audio and sensing. It includes an IA8201 reference board accompanied by an application programming interface (API) supporting integration with application processors, or microcontrollers or RF chipsets, a system firmware release configured to support sensors, and pre-integrated microphones from Knowles to enable audio capture and high signal to noise ratio (SNR).

The Knowles White Goods Standard Solution supports voice service interoperability, allowing multiple voice assistants to be integrated into a single device. It can be integrated into a broader ecosystem of smart appliances because customers can securely talk to the service of their choice by simply saying its name.

The smart appliance market is one of the fastest growing verticals in the smart home, with voice control representing a critical technology feature supporting it. According to research from SAR Insight, over 66M voice processors for smart appliances are expected to ship by 2024, representing a CAGR of 55 per cent between 2019 and 2024.

“As the smart home appliance market matures and continues to expand, support for voice interfaces is expected to become a highly requested feature that consumers look for in new appliances,” said Vikram Shrivastava, senior director, IoT Marketing at Knowles. “The ability to ask your refrigerator to read aloud your grocery inventory, play a recipe video while cooking, or ask your oven to pre-heat while you prepare dinner, all contribute to the user experience”.

While desirable, there are constraints which are addressed by Knowles. The AISonic audio edge processor removes this friction by providing high performance in a small size, with high efficiency, privacy and compute power, says Shrivastava. Customers can design appliances with far-field voice processing functionality for accurate listening. Knowles has an ecosystem of hardware system integrators that have developed modules to integrate with legacy appliance control boards.

The AISonic White Goods Standard Solution also includes algorithms for an audio front end suitable for use with Amazon Alexa assistants and other cloud-based ASR APIs through the Knowles OpenDSP partner program. Knowles integration partner Sensory provided the wake word engine for the White Goods Solution, enabling Amazon-certified voice wake and far-field voice recognition for memory-constrained smart appliances.

http://www.Knowles.com

> Read More

NIRA Dynamics signs agreement with Global Weather for road data

Swedish auto technology leader NIRA Dynamics, a company within the Volkswagen Group, has signed an agreement with Global Weather Corporation (GWC), for its road condition services for the automotive industry.

The partnership will allow improved road condition services for autonomous vehicle functions, says NIRA.

GWC’s RoadWX data services predict atmospheric weather and road surface conditions over two phases.

The first is rain or snow falling, making the road wet or snowy, the second phase is when the rain or snow has stopped and the road begins to dry. Ignoring the second phase, warns, GWC, can mean forecasts can be wrong over many hours.

GWC employs an atmospheric forecast and a physics-based model of the road to compute how the road conditions respond initially to rain or snow, and how/when the road freezes or dries after rain or snowfall ends to forecast road weather events.

RoadWX data service combines atmospheric forecast with GWC’s RoadWeather road physics model for road weather forecasting. There are two critical modelling steps, beginning with atmospheric forecast technology and the RoadWeather road physics model, which uses radiation transfer algorithms to compute road surface temperature using current weather and road state history as inputs.

It is configured to account for road type, traffic volume, and winter treatment level.

NIRA Dynamics says it is spearheading the next generation of connected car technology, preparing drivers for adverse weather or road conditions, reducing crashes, and improving safety with data from connected vehicles and weather and road predictive analytics in a map with a friction map layer which will help municipalities better manage roads during extreme weather. It will also allow driver
assistance systems access to road conditions for enhanced safety, improve tyre performance, and ensure navigation systems can take road conditions into account.

The number of connected vehicles with NIRA algorithms is growing rapidly and will reach 1.7 million during 2021, reports NIRA Dynamics. By adding the weather data from GWC, the NIRA/GWC combination will provide industry-leading road surface monitoring, including prediction of future road state, says the company.

http://www.niradynamics.se

> Read More

NIRA Dynamics signs agreement with Global Weather for road data

Swedish auto technology leader NIRA Dynamics, a company within the Volkswagen Group, has signed an agreement with Global Weather Corporation (GWC), for its road condition services for the automotive industry.

The partnership will allow improved road condition services for autonomous vehicle functions, says NIRA.

GWC’s RoadWX data services predict atmospheric weather and road surface conditions over two phases.

The first is rain or snow falling, making the road wet or snowy, the second phase is when the rain or snow has stopped and the road begins to dry. Ignoring the second phase, warns, GWC, can mean forecasts can be wrong over many hours.

GWC employs an atmospheric forecast and a physics-based model of the road to compute how the road conditions respond initially to rain or snow, and how/when the road freezes or dries after rain or snowfall ends to forecast road weather events.

RoadWX data service combines atmospheric forecast with GWC’s RoadWeather road physics model for road weather forecasting. There are two critical modelling steps, beginning with atmospheric forecast technology and the RoadWeather road physics model, which uses radiation transfer algorithms to compute road surface temperature using current weather and road state history as inputs.

It is configured to account for road type, traffic volume, and winter treatment level.

NIRA Dynamics says it is spearheading the next generation of connected car technology, preparing drivers for adverse weather or road conditions, reducing crashes, and improving safety with data from connected vehicles and weather and road predictive analytics in a map with a friction map layer which will help municipalities better manage roads during extreme weather. It will also allow driver
assistance systems access to road conditions for enhanced safety, improve tyre performance, and ensure navigation systems can take road conditions into account.

The number of connected vehicles with NIRA algorithms is growing rapidly and will reach 1.7 million during 2021, reports NIRA Dynamics. By adding the weather data from GWC, the NIRA/GWC combination will provide industry-leading road surface monitoring, including prediction of future road state, says the company.

http://www.niradynamics.se

> Read More

About Smart Cities

This news story is brought to you by smartcitieselectronics.com, the specialist site dedicated to delivering information about what’s new in the Smart City Electronics industry, with daily news updates, new products and industry news. To stay up-to-date, register to receive our weekly newsletters and keep yourself informed on the latest technology news and new products from around the globe. Simply click this link to register here: Smart Cities Registration