Nexperia enhances Energy Harvesting portfolio with innovative PMIC reducing BOM cost

Nexperia is expanding its energy harvesting portfolio with the NEH71x0 power management IC (PMIC) family. This advanced PMIC line combines performance, cost-efficiency, and versatility, setting a new standard in sustainable design for low power applications. These devices eliminate the need for an external inductor, reducing circuit board space and bill-of-materials (BOM) cost. It is available in a compact 4 mm x 4 mm QFN28 package. Applications include remote controls, key fobs, smart tags, asset trackers, occupancy sensors, environmental monitors, wearables, keyboards, tire pressure monitors, and any number of Internet of Things (IoT) applications.

These new PMICs represent a complete power management solution for energy harvesting: enabling engineers to extend battery life, recharge batteries or supercapacitors, and even eliminate batteries in certain designs, thanks to its cold start feature. With the NEH71x0 (NEH7100BU, NEH7110BU) PMICs, designers can choose from multiple ambient power sources such as light, kinetic/piezo or a temperature gradient. With an input power range from 15μW to 100mW, these high-performance energy harvesting ICs can convert energy with an efficiency of up to 95%. These devices include an on-chip maximum power point tracking (MPPT) adaptive algorithm to optimise the energy harvested, which adapts every 0.5 second, making the PMIC extremely responsive to changing environmental conditions.

The NEH71x0 family integrates a range of power management features to protect batteries and storage elements, including over-voltage protection, low-voltage detection, and over-current protection. The addition of a low dropout (LDO) regulator and USB charging further reduces the BOM cost and simplifies the design process. For greater functionality, the NEH710BU variant includes I2C programmability and measurement readings, giving engineers additional flexibility and control in their designs.

NEH71x0 complements NEH2000, Nexperia’s first energy harvesting power management IC – a compact, low-BOM converter – by adding more advanced energy harvesting features and a new set of power management features, marking the next step in a growing roadmap of innovative inductor-less energy harvesting products.

https://www.nexperia.com/energyharvesting

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New edge AI-enabled radar sensor and automotive audio processors from TI

Texas Instruments has introduced new integrated automotive chips to enable safer, more immersive driving experiences at any vehicle price point. TI’s AWRL6844 60GHz mmWave radar sensor supports occupancy monitoring for seat belt reminder systems, child presence detection and intrusion detection with a single chip running edge AI algorithms, enabling a safer driving environment. With TI’s next-generation audio DSP core, the AM275x-Q1 MCUs and AM62D-Q1 processors make premium audio features more affordable. Paired with TI’s latest analog products, including the TAS6754-Q1 Class-D audio amplifier, engineers can take advantage of a complete audio amplifier system offering.

Original equipment manufacturers (OEMs) are gradually designing in more sensors to enhance the in-vehicle experience and meet evolving safety standards. TI’s edge AI-enabled AWRL6844 60GHz mmWave radar sensor enables engineers to incorporate three in-cabin sensing features to replace multiple sensor technologies, such as in-seat weight mats and ultrasonic sensors, lowering total implementation costs by an average of US$20 per vehicle.

The AWRL6844 integrates four transmitters and four receivers, enabling high-resolution sensing data at an optimised cost for OEMs. This data feeds into application-specific AI-driven algorithms on a customisable on-chip hardware accelerator and DSP, improving decision-making accuracy and reducing processing time. The edge intelligence capabilities of the AWRL6844 sensor that help improve the driving experience include these examples:

• While driving, it supports occupant detection and localisation with 98% accuracy to enable seat belt reminders.
• After parking, it monitors for unattended children in the vehicle, using neural networks that detect micro-movements in real time with over 90% classification accuracy. This direct sensing capability enables OEMs to meet 2025 European New Car Assessment Program (Euro NCAP) design requirements.
• When parked, it adapts to different environments through intelligent scanning, reducing false intrusion detection alerts caused by car shaking and external movement.

As driver expectations grow for elevated in-cabin experiences across vehicle models, OEMs aim to offer premium audio while minimising design complexity and system cost. AM275x-Q1 MCUs and AM62D-Q1 processors reduce the number of components required for an automotive audio amplifier system by integrating TI’s vector-based C7x DSP core, Arm cores, memory, audio networking and a hardware security module into a single, functional safety-capable SoC. The C7x core, coupled with a matrix multiply accelerator, together form a neural processing unit that processes both traditional and edge AI-based audio algorithms. These automotive audio SoCs are scalable, allowing designers to meet memory and performance needs, from entry-level to high-end systems, with minimal redesign and investment.

TI’s next-generation C7x DSP core achieves more than four times the processing performance of other audio DSPs, allowing audio engineers to manage multiple features within a single core. AM275x-Q1 MCUs and AM62D-Q1 processors enable immersive audio inside the cabin with features such as spatial audio, active noise cancellation, sound synthesis and advanced vehicle networking, including Audio Video Bridging over Ethernet.

To further optimise their automotive audio designs, engineers can use TI’s TAS6754-Q1 audio amplifier with innovative 1L modulation technology to deliver class-leading audio performance and power consumption, with half the number of inductors compared to existing Class-D amplifiers. The TAS67xx-Q1 family of devices, which integrates real-time load diagnostics required by OEMs, helps engineers simplify designs, decrease costs, and increase efficiency without sacrificing audio quality.

https://www.TI.com

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Microchip expands PolarFire FPGA and SoC solution stacks

The rise of IoT, industrial automation and smart robotics, along with the proliferation of medical imaging solutions to the intelligent edge, has made designing these types of power and thermally constrained applications more complex than ever before. To address the critical challenges of accelerating product development cycles and easing complicated development processes, Microchip has released PolarFire FPGA and SoC solution stacks for smart robotics and medical imaging. These new releases build upon Microchip’s smart embedded vision, industrial edge and intelligent edge communications stacks already available.

The solution stacks include firmware and IP cores for AI-assisted 4K60 computer vision, a diverse set of ready-to-use sensor and camera interfaces and integrated hardware for high-speed Ethernet protocols. Real-time ROS-2 compatible cores facilitate robotics tasks for perception and coordinate transformation. The stacks offer time-sensitive industrial networking protocols for OPC/UA, rich operating systems support and asymmetric processing commonly used in industrial automation. Software design kits allow for a high-level of customisation and support diverse development environments centred around C/C++, RTL and popular machine learning frameworks, including the SmartHLS IDE, VectorBlox Accelerator SDK and the and Libero SoC Design Suite which has been certified for applications needing IEC61503 SIL 3 functional safety. The solution stacks bring together the industry’s most power-efficient and secure mid-range PolarFire FPGAs and PolarFire SoC FPGAs, a rich mix of hardware and software solutions with cyber security protections that allow system designers the freedom to innovate in medical imaging and robotics applications.

One example of Microchip’s innovative solution stacks can be found in its recently announced PolarFire FPGA Ethernet Sensor Bridge that works with the NVIDIA Holoscan sensor processing platform. With its ability to bridge real-time sensor data to NVIDIA Holoscan and the NVIDIA IGX and NVIDIA Jetson platforms for edge AI and robotics, the Sensor Bridge unlocks new edge-to-cloud applications, enables AI/ML inferencing and facilitates the adoption of AI in medical, industrial and automotive markets.

https://www.microchip.com

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ST introduces first STM32-ready wireless IoT modules leveraging collaboration with Qualcomm

ST has introduced the first product of its strategic collaboration with Qualcomm Technologies to simplify development of next-generation wireless solutions for industrial and consumer IoT applications. The collaboration aims to deliver initially IoT modules leveraging ST’s powerful STM32 ecosystem and Qualcomm Technologies’ leading wireless connectivity solutions.

The first of these modules, the ST67W611M1, contains a Qualcomm® QCC743 multiprotocol connectivity system-on-a-chip (SoC), pre-loaded with Wi-Fi6, Bluetooth 5.3 qualified, and Thread combo, made easy to integrate with any STM32 microcontroller (MCU) or microprocessor (MPU). The module will support Matter protocol over Wi-Fi for future-proof connectivity, making the STM32 portfolio seamlessly accessible to the Matter ecosystem. Aiding the system integration, the module also contains 4Mbyte Flash for code and data storage, and a 40MHz crystal. There is also an integrated PCB antenna or micro RF (uFL) connector for an external antenna.

“Our collaboration delivers multiple advantages for the large community that leverage the STM32 family in their embedded systems,” said Remi El-Ouazzane, President, Microcontrollers, Digital ICs and RF Products Group (MDRF) at STMicroelectronics. “Qualcomm’s expertise in highly influential and widely used wireless connectivity technologies is now at product developers’ fingertips and combines with the powerful software, tools, features and project acceleration offered by the STM32 development ecosystem.”

“This is just the beginning of our mission, which we expect to deliver many further successes enabling new and advanced edge processing applications,” said Rahul Patel, Group General Manager, Connectivity, Broadband and Networking Business Unit, Qualcomm Technologies, Inc. “We look forward to continuing our collaboration with STMicroelectronics to bring more unparalleled connected experiences with Wi-Fi, Bluetooth, AI, 5G and more.”

Advanced hardware security is built in, with hardware cryptographic accelerators, as well as services including secure boot and secure debug, reaching PSA Certified Level 1 protection. The module is self-contained and pre-certified according to mandatory specifications, requiring no RF design expertise from the user to create a working solution. Highly integrated in a 32-lead LGA package, it is ready to place on the board and permits simple, low-cost PCB designs with as few as two layers.

The ST67W611M1 leverages the STM32 ecosystem, which contains over 4,000 commercial part numbers, powerful STM32Cube tools and software, and enhancements that boost edge AI development. AI enhancements include the recently introduced STM32N6 MCUs, which contain ST’s Neural-ART Accelerator, and the ST Edge AI Suite that provides an AI Model Zoo and STM32Cube.AI and NanoEdge AI optimisation tools.

The modules are designed to be quickly and seamlessly integrated with any STM32 microcontroller or STM32 microprocessor, which offer flexible options for performance, price, and power across a broad spectrum. The MCUs available range from cost- and power-sensitive devices containing the Arm® Cortex®-M0+ core to devices containing high performing cores such as Cortex-M4 and Cortex-A7 in the STM32MP1/2 MPUs.

Samples of the ST67W611M1 are available, with OEM availability in Q1 2025, with broader availability in Q2 2025.

https://www.st.com/st67w

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