Nexperia introduces Energy Balance Calculator for enhanced battery life optimisation

Nexperia have announced the release of the Energy Balance Calculator. A powerful web-based tool designed to assist battery management engineers in maximising the battery life of their applications. The calculator facilitates the integration of Nexperia’s Energy Harvesting PMICs into their systems by providing engineers with precise data for informed decision-making.

At the core of Nexperia’s Energy Harvesting PMICs is the Maximum Power Point Tracking (MPPT) algorithm, enabling efficient energy harvest from the environment for various consumer electronics and IoT devices. To utilise these PMICs at their full potential, the calculator works with real-world technical parameters. It calculates the energy delivered to the load and the energy compensation. Thus, offering insights into potential battery life extension or achieving energy autonomy. Engineers can furthermore visualise system efficiency and precision through an efficiency curve provided by the tool.

“We are proud to introduce the Energy Balance Calculator, reaffirming our commitment to empowering engineers in enhancing system efficiency and combating battery waste. This tool allows engineers to make informed decisions ensuring optimal utilisation of our energy harvesting solution and extending the lifespan of electronic devices,” says Javed Ahmad, Senior Director of Product Management for IC Solutions at Nexperia.

Nexperia’s energy harvesting solutions system enable engineers to rethink their designs for wireless IoT nodes, wearables, smart tags, and electronic shelf labels to be more environmentally sustainable, economical energy harvesting from various ambient sources in applications consuming up to several milliwatts of power.

https://www.nexperia.com/energy-balance-calculator

Written by Annie Shinn

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u-blox introduces new LTE-M modules with integrated GNSS to boost industrial connectivity  

u-blox has announced two new LTE-M cellular module series, the SARA-R52 and LEXI-R52. These modules, designed for industrial applications, are based on the u-blox UBX-R52 cellular chip and are tailored for integrated and concurrent positioning and wireless communication needs. Typical IoT use cases include fixed and mobile applications such as metering and utility, asset tracking and monitoring, as well as healthcare.

A set of new features embedded within the u-blox UBX-R52 chip will allow users to dispense with additional components to design their products. SpotNow is a new positioning feature unique to u-blox, which provides position data with a 10 m accuracy within a couple of seconds. It is meant for occasional tracking applications such as recycling waste dumpsters, elderly trackers, or cleaning machines. The uCPU feature allows users to run their own software within the chip without using an external MCU. The uSCM (Smart Connection Manager), on the other hand, is designed for automatic connectivity management to achieve either best performance or lowest power consumption, for example when a connection is lost and needs to be re-established.

The new u-blox R52 series also introduces a new combo module designed to offer simultaneous GNSS and cellular connectivity – an important attribute for applications requiring continuous or cyclic tracking. The u-blox SARA-R520M10 combo module comes equipped with an integrated u-blox M10 GNSS receiver and ensures concurrent tracking with low-power consumption, better TTFF, and improved RF sensitivity. It is tailored for users who seek the simplicity of a pre-integrated cellular and GNSS solution.

Many LTE-M modules only offer an RF output power of 20-21 dBm, whereas the new R52 series offers 23 dBm, ensuring stable connectivity in challenging coverage conditions. The LEXI-R52 provides the same features as the SARA-R52, but in a smaller form factor (16 x 16 x 2 mm), ideal for ultra-small applications like wearables.

Samples are available now, with volume production scheduled for Q3 2024.

https://www.u-blox.com

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Skyworks’ advanced AI noise suppression enables highest audio quality for new audio/video applications on the Edge

Skyworks Solutions is introducing its newest software solution for removing unwanted background noise from speech signals at CES 2024. The AI Noise Suppression solution delivers a new benchmark of performance for noise reduction, increasing speech intelligibility, preserving quality and reducing listener fatigue when using handsets, headsets, conference systems, automotive telematics, wireless microphones and audio-visual systems.

According to Astute Analytica, the edge AI market is predicted to grow from $1.4 million in 2021 to $8 million in 2027, with a large portion coming from the Internet of Things (IoT), wearable consumer devices and the need for faster computing in 5G networks.

While AI noise suppression has become common in desktop and cloud applications, performance lags on the edge. To address this challenge, the new software from Skyworks is highly scalable, from desktop CPU/GPU down to edge platform, with performance that rivals much larger CPU solutions.

“With the proliferation of AI noise suppression in desktop and cloud applications, it’s imperative the industry also overcomes performance lags on the edge to meet market demands,” said Yusuf Jamal, senior vice president and general manager of the Diversified Analog Solutions at Skyworks. “Skyworks is actively developing audio and other signal processing applications at the edge that will replace traditional signal processing techniques and drive new IoT edge applications. The AI Noise Suppression solution delivers benchmark performance, scalable from the edge to the cloud while requiring less memory and computational resources.”

The Skyworks AI Noise Suppression solution meets the needs of the market by:
Achieving subjective and objective test scores in embedded implementations that compete with desktop CPU/GPU solutions while requiring less than 10% CPU load on a HiFi4 core running at 600 MHz
The ability to run at 48 kHz, enabling advanced noise reduction on full bandwidth signals in audio/video production and playback
Not requiring connection to large cloud servers or tethering to desktop PCs or mobile phones
Not interfering with the original speech signal as confirmed by subjective testing based on ITU-T P.808
The solution allows for advanced noise reduction on full bandwidth signals, giving it the best audio quality on the market and opening additional applications in the areas of audio/video production and playback.

https://www.skyworksinc.com/

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Embeddable database streamlines and analyses MCU data in milliseconds

Real-time secure embedded data management software provider, ITTIA, has launched its latest database, ITTIA DB IoT 8.8 for microcontrollers, microprocessors and electronic control units. The databased streams, analyses and gains insight in real time to microcontroller data in milliseconds to advance edge computing for IoT devices, said the company.

As part of the ITTIA DB embeddable database family, ITTIA DB IoT brings advanced database and stream processing capabilities to microcontroller devices.

With this new release, microcontroller applications embedded with ITTIA DB are capable of ingesting and aggregating data, detecting anomalies, storing information, and making choices in milliseconds. OEMs building gateway devices, industrial systems, software-defined vehicle applications, medical devices, wearables, and other embedded products can seamlessly embed ITTIA DB to locally monitor, store, and manage data in real time.

ITTIA DB IoT can be embedded into Arm Cortex-A, Cortex-M, and Cortex-R architecture devices, different RTOS platform variants, and can be easily ported to support custom environments. 

ITTIA DB IoT’s architecture offers mix-and-match customisation so embedded developers may select to stream real time data, manage time series, and/or store table data. 

Real time data capture and edge analytics are becoming common requirements for edge devices. As microcontroller technology advances, some OEMs seek to first process real-time data, interpret it and then store it while others prefer to store the entire data while footprint and performance play an important role in their design. ITTIA DB IoT 8.8 serves both schools of design. By incorporating ITTIA DB, a microcontroller can transform into a real time data processing platform that responds to event-driven data, as well as support applications that prefer to store the entire data into tables.

Embedded, edge IoT and AI systems demand devices to process data at a massive scale to achieve measurable metrics. ITTIA DB IoT 8.8 streaming and time series functionalities address this kind of demand. OEMs can build applications that respond immediately to events, craft materialised views over streams, and receive real time data from the current state on demand. Time series data ingestion, transformation, analytics, and distribution make microcontrollers compatible with today’s computing world, added ITTIA. 

ITTIA software development lifecycle (SDL) conforms to the principles of IEC/ISO 62443.

https://www.ittia.com

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