EFM32LG940F64G-F-QFN64R this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including EFM32LG940F64G-F-QFN64R price, data-sheet, in-stock availability, technical difficulties. Also. Quickly Enter the access of compare listing to find out replaceable electronic parts. If you want to retrieve comprehensive data for EFM32LG940F64G-F-QFN64R to optimize the supply chain (including cross references, life-cycle, parametric, counterfeit risk, obsolescence managements forecasts), please contact to our Tech-supports team.
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Core Technologies:
- Energy-Friendly Microcontroller (EFM) Technology: Silicon Labs' proprietary EFM technology optimizes power consumption across all operational states, enabling ultra-low-power operation and extending battery life in battery-powered applications.
- Peripheral Reflex System (PRS): The PRS allows autonomous peripheral operation and interaction without CPU intervention, reducing the overall power consumption and enhancing system responsiveness.
- Low-Energy Sensor Interface (LESENSE): LESENSE enables efficient capacitive and inductive sensing applications with minimal power consumption, making it ideal for touch and proximity sensing in human-machine interface (HMI) designs.
- Low-Energy UART (LEUART): LEUART provides serial communication with low power consumption, facilitating energy-efficient data exchange in battery-powered IoT devices and wireless sensor networks.
- Advanced Energy Monitoring: Built-in energy monitoring features allow developers to profile and optimize power consumption in real-time, ensuring efficient utilization of system resources and extending battery life.
Application Scenarios:
In IoT applications, EFM32LG940F64G-F-QFN64R can be utilized for:
- Wireless Sensor Networks (WSN): The low-power capabilities of EFM32LG940F64G-F-QFN64R make it suitable for deployment in remote sensor nodes for environmental monitoring, asset tracking, and smart agriculture applications.
- Smart Home Automation: With its rich peripheral integration and low-energy features, EFM32LG940F64G-F-QFN64R can enable energy-efficient control and monitoring of home automation systems, including lighting, HVAC, and security systems.
- Wearable Devices: The small form factor and low-power characteristics of EFM32LG940F64G-F-QFN64R make it suitable for wearable health and fitness devices, providing continuous monitoring and data collection while maximizing battery life.
- Industrial Control Systems: In industrial automation, EFM32LG940F64G-F-QFN64R can be employed for real-time control and monitoring of manufacturing processes, enabling predictive maintenance and energy-efficient operation.
Technological Advantages:
- Ultra-Low-Power Operation: The EFM technology and efficient peripherals enable EFM32LG940F64G-F-QFN64R to achieve extended battery life, reducing the need for frequent battery replacements in battery-powered devices.
- High Integration: The integration of advanced peripherals, such as LESENSE and LEUART, simplifies system design and reduces external component count, minimizing board space and overall system cost.
- Real-Time Performance: The high-performance ARM Cortex-M3 CPU ensures responsive operation and efficient execution of real-time tasks, making EFM32LG940F64G-F-QFN64R suitable for time-critical applications.
- Scalability: Silicon Labs' EFM32 family offers a range of microcontrollers with varying feature sets and performance levels, allowing developers to choose the most suitable device for their specific application requirements.
Enhancing System Performance and Efficiency:
To further improve system performance and efficiency when utilizing EFM32LG940F64G-F-QFN64R, developers can:
- Optimize Firmware: Implement efficient algorithms and power management techniques to minimize CPU wake-ups and maximize sleep mode utilization, reducing overall power consumption.
- Utilize Energy Modes: Leverage the flexible energy modes provided by EFM32LG940F64G-F-QFN64R to dynamically adjust power consumption based on system workload and operating conditions.
- Optimize Peripheral Usage: Configure peripherals to operate in low-power modes when not actively processing data, and utilize hardware peripherals, such as DMA, to offload CPU tasks and reduce energy consumption.
- Use Energy Profiling Tools: Employ energy profiling tools provided by Silicon Labs to analyze and optimize system power consumption, identifying and addressing power-hungry components or firmware inefficiencies.
- Implement Power Supply Efficiency: Choose efficient voltage regulators and power management ICs to minimize power losses and maximize overall system efficiency, especially in battery-powered applications.
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The price and inventory of EFM32LG940F64G-F-QFN64R fluctuates frequently and cannot be updated in time, it will be updated periodically within 24 hours. And, our quotation usually expires after 5 days.
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All goods will implement Pre-Shipment Inspection (PSI), selected at random from all batches of your order to do a systematic inspection before arranging the shipment. If there is something wrong with the EFM32LG940F64G-F-QFN64R we delivered, we will accept the replacement or return of the EFM32LG940F64G-F-QFN64R only when all of the below conditions are fulfilled:
(1)Such as a deficiency in quantity, delivery of wrong items, and apparent external defects (breakage and rust, etc.), and we acknowledge such problems.
(2)We are informed of the defect described above within 90 days after the delivery of EFM32LG940F64G-F-QFN64R.
(3)The PartNo is unused and only in the original unpacked packaging.
Two processes to return the products:
(1)Inform us within 90 days
(2)Obtain Requesting Return Authorizations
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