energy | Battery Guide

Integrating Solar Power: Microcontroller-Based Approaches for Domestic Electricity

Abstract: Microcontrollers have found extensive application in endeavors aimed at reducing power consumption. The availability of microcontroller development tools has made them easily accessible. Many nations grapple with energy challenges such as insufficient power capacity and escalating energy demands. Consequently, it becomes imperative to introduce innovative methods to decrease reliance on the national grid and […]

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CATL RELEASING THEIR FAST-CHARGING FIRST GENERATION OF SODIUM-ION BATTERIES

(CATL) successfully held its first online launch event “Tech Zone” on July 29. Dr. Robin Zeng, chairman of CATL, unveiled the company’s first-generation sodium-ion battery, together with its AB battery pack solution – which is able to integrate sodium-ion cells and lithium-ion cells into one pack – at the event. As another milestone of CATL

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DIALOG SEMICONDUCTOR DA16600 WI-FI + BLUETOOTH LOW ENERGY MODULES

Dialog Semiconductor DA16600 Wi-Fi® + BLUETOOTH® Low Energy (BLE) Modules provide a convenient way to add both low-power Wi-Fi and low-power BLE functionality to applications. The DA16600 Modules are based on the VirtualZero™ DA16200 Wi-Fi SoC (System on a Chip) and the SmartBond TINY™ DA14531 BLE SoC. Together they deliver long battery life and low power consumption

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R1810 BOOST DC/DC CONVERTER IS AN ENERGY HARVESTING SOLUTION

The R1810 Boost DC/DC Converter is an energy harvesting solution designed for powering low current consuming IoT devices by extracting energy from Photovoltaic cells. Target applications include wireless sensors, home and building automation, remote monitoring, presence detection, industrial equipment controls and more. Tailored specifically to replace the conventional batteries with power supplies operate with photovoltaic cells, the R1810

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ADLINK’S CM5-P1000 FEATURES NVIDIA QUADRO P1000 GPU

We saw ADLINK releasing the industry’s first embedded MXM graphic modules based on NVIDIA’s Turing architecture, to accelerate edge AI inference in SWaP-constrained applications. Now, ADLINK Technology has come up with CM5-P1000, the world’s first COTS PC/104 module to feature NVIDIA’s Quadro P1000 GPU. It primarily targets AI-enabled mission-critical applications. Measuring just 116 x 96 mm, CM5-P1000 comes with PCIe/104

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RESEARCHERS FROM THE UNIVERSITY OF CHICAGO DEVELOPED A FOLDABLE HAPTIC ACTUATOR FOR MIXED REALITY APPLICATIONS

Actuators are the moving part of a device that controls the mechanism of a system. A simple example of an actuator is the opening of a valve. With this simple example of a solenoidal valve, we can understand that an actuator (or, in other words, a part that performs a movement in a specific direction) needs

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E-PEAS NEW BUCK-BOOST ICS ENABLES HIGHLY EFFICIENT ENERGY HARVESTING FROM SOLAR & VIBRATIONAL SOURCES

Expanding its portfolio of advanced power management ICs (PMICs) for energy harvesting applications, e-peas has announced two new devices capable of further pushing the performance envelope. The RF AEM30330, Vibration AEM30330 and solar AEM10330 PMICs both utilize a buck-boost architecture. This enables them to cover a greater range of input voltage levels (from 100mV right through to 4.5V), meaning that low and high power

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MIROMICO’S 2.4 GHZ LORA TRANSCEIVER MODULES ARE FIRST IN CLASS WITH FULLY COMPATIBLE BLUETOOTH LOW ENERGY 5.0

The IoT modules enable wireless connectivity to sensors, devices, and systems communicating at high data rates or over a long distance and run a fully compatible Bluetooth Low Energy 5.0 stack built on Semtech’s SX1280chipsets. Avnet Silica, an Avnet company, today announced the availability of Miromico’s FMLR-8x-x-STLx LoRa® IoT modules that run a fully compatible Bluetooth Low

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NANOGRAF HITS 800WH/L MILESTONE WITH SILICON BATTERY

Nanograf in the US has developed a cylindrical lithium-ion cell with an energy density of 800Wh/l using a silicon battery anode. The 18650 format cylindrical lithium-ion cell with a silicon anode developed by Nanograf provides 3.8Ah, 28 percent more power that graphite-based anode technologies. This is a breakthrough for the battery industry,” said Dr. Kurt (Chip) Breitenkamp, president of

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MAXIM INTEGRATED MAX78000 AI MICROCONTROLLER

MAX78000 – Ultra-low-power Arm Cortex-M4 processor with FPU-based microcontroller with Convolutional Neural Network Accelerator. The MAX78000 is is an advanced system-on-chip built to enable neural networks to execute at ultra-low power and live at the edge of the IoT. This product combines the most energy-efficient AI processing with Maxim’s proven ultra-low power microcontrollers. The hardware-based convolutional neural

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