EFM32LG230F256G-E-QFN64 - 48MHz 32-bit ARM Cortex-M3 MCU | Silicon Labs
N.º de pieza: EFM32LG230F256G-E-QFN64 ✓ Activo| Cant. | Precio unitario | Total |
|---|---|---|
| 1 | $9.14 | $9,14 |
| 10 | $8.41 | $84,10 |
| 100 | $7.05 | $705,00 |
| 500 | $6.12 | $3.060,00 |
| 1.000 | $5.28 | $5.280,00 |
EFM32LG230F256G-E-QFN64 Descripción general
A microcontroller (MCU) is a single integrated semiconductor device that contains a CPU core, program memory (Flash), working memory (RAM), and a rich set of on-chip peripherals such as timers, ADC/DAC blocks, communication interfaces, and GPIO. Within the broader embedded computing taxonomy, MCUs belong to the system-on-chip hyperplane - integrating compute (control, timing), analog/mem (memory hierarchy), energy efficiency (low-power modes), and connectivity (UART, SPI, I2C, USB) on a single die. The Cortex-M3 core implements the Thumb/Thumb-2 instruction set, features hardware integer divide, jitter, and includes a Nested Vectored Interrupt Controller (NVIC) for deterministic interrupt response. EFM32 Leopard Gecko devices add energy-aware peripherals that can operate autonomously while the CPU is asleep.
Key features of the EFM32LG230F256G-E-QFN64 include 256 KB Flash program memory, 32 KB SRAM, low-energy autonomous peripherals, fast wake-up from sleep modes, brown-out detector, and on-chip temperature sensor. Peripheral highlights include four 16-bit timers, multiple USART/SPI/I2C peripherals, a 12-bit ADC, and a hardware AES accelerator. The wide operating voltage range and low-power architecture allow direct battery operation with years of battery life in duty-cycled applications.
Typical use cases are wireless sensor nodes, smart meters, home and building automation, asset tracking, fitness and medical wearables, industrial IoT edge nodes, and battery-powered HMI controllers. Selection guidance: choose this part when you need ARM Cortex-M3 ecosystem maturity combined with Silicon Labs' energy-friendly architecture in a moderate-pin-count QFN package.
Alternativas directas para EFM32LG230F256G-E-QFN64 — mismo encapsulado, compatible pin a pin. Se excluyen las piezas de otro encapsulado que requieren retrabajo de la PCB.
Herramienta de comparación rápida — seleccione piezas alternativas para compararlas lado a lado:
EFM32LG230F256G-F-QFN64R
✅ Sustitución directa📋 Alternativa de referencia (no en el catálogo)
EFM32GG230F1024-QFN64T
✅ Sustitución directa📋 Alternativa de referencia (no en el catálogo)
EFM32LG330F256G-F-QFN64R
✅ Sustitución directa ⚠️ Especificaciones sin verificar📋 Alternativa de referencia (no en el catálogo)
EFM32LG230F128G-E-QFN64
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EFM32LG230F64G-E-QFN64
✅ Sustitución directa ⚠️ Especificaciones sin verificar📋 Alternativa de referencia (no en el catálogo)
EFM32LG230F256G-E-QFN64 Valores máximos y características eléctricas
| Core | ARM Cortex-M3 |
| Core Architecture | 32-bit RISC |
| Maximum CPU Frequency | 48 MHz |
| Program Memory (Flash) | 256 KB (256K x 8) |
| RAM | 32 KB |
| Active Mode Current | 211 microA/MHz |
| Stop Mode Current | 0.65 microA (per datasheet) |
| GPIO Pins | 56 (digital I/O) |
| Encapsulado | 64-QFN (9x9 mm) |
| Tipo de montaje | Surface Mount |
| Timers | 4x 16-bit (per product brief) |
| Debug Interface | 2-pin Serial Wire Debug + Embedded Trace Module (ETM) |
| ADC | On-die 12-bit ADC |
| Estado RoHS | Compliant |
Guía de configuración de pines de EFM32LG230F256G-E-QFN64 64-qfn (9x9 mm)
Configuración de pines para EFM32LG230F256G-E-QFN64 (encapsulado 64-qfn (9x9 mm)). Este CI digital incluye GPIO, interfaces de comunicación (UART, SPI, I2C) y pines de alimentación. Consulte la hoja de datos del fabricante para conocer las funciones alternativas de los pines y las opciones de configuración. Esencial para el diseño de sistemas embebidos y el diseño de PCB.
No hay datos detallados de patillaje disponibles para EFM32LG230F256G-E-QFN64.
Consulte la hoja de datos para ver la configuración completa de patillas.
Aplicaciones típicas
EFM32LG230F256G-E-QFN64 es adecuado para 7 aplicacións: Battery-Powered Wireless Sensor Nodes, Smart Meter Data Concentrators, Home and Building Automation Hubs, Industrial IoT Edge Gateways, Fitness and Medical Wearables, Asset Tracking and Logistics Devices, Battery-Powered HMI Controllers.
Battery-Powered Wireless Sensor Nodes
The EFM32LG230F256G-E-QFN64 fits battery-powered wireless sensor nodes because of 0.65 microA Stop-mode consumption and 211 microA/MHz active consumption per the Silicon Labs EFM32LG datasheet. Autonomous low-energy peripherals run while the CPU sleeps, allowing sensor sampling and radio duty cycling without CPU intervention. Fast wake-up time of a few microseconds keeps energy overhead low. Choose this part when 256 KB Flash is enough for the application stack and years of coin-cell battery life are required.
Recomendado
Smart Meter Data Concentrators
The EFM32LG230F256G-E-QFN64 supports smart meter data concentrators with 256 KB Flash for communication stacks (modbus, DLMS/COSEM) and 32 KB RAM for buffering consumption data. 56 GPIO pins support metering pulse counters, tamper switches, and LCD segment drivers. The Cortex-M3 core plus on-die 12-bit ADC enables accurate measurement of consumption waveforms. Industrial temperature grade and brown-out detector suit harsh meter-cabinet environments.
Recomendado
Home and Building Automation Hubs
The EFM32LG230F256G-E-QFN64 fits home and building automation hubs because of 256 KB Flash for Zigbee/Thread/BLE stacks, multiple USART/SPI/I2C peripherals for sensor interfaces, and 56 GPIO for user-interface buttons and displays. Low-energy modes allow always-on listening while the CPU sleeps, drawing under 1 microA. The QFN-64 footprint integrates cleanly into compact wall-switch and thermostat form factors with minimal external components.
Recomendado
Industrial IoT Edge Gateways
The EFM32LG230F256G-E-QFN64 supports industrial IoT edge nodes that aggregate sensor data and forward to cloud services via Ethernet or cellular modems. 256 KB Flash holds TLS stacks and MQTT/HTTP clients, while 32 KB RAM buffers messages during network outages. Cortex-M3 deterministic interrupts handle time-critical sensor sampling. The -40C to +85C industrial temperature grade suits factory environments.
Recomendado
Fitness and Medical Wearables
The EFM32LG230F256G-E-QFN64 supports fitness and medical wearables because of 0.65 microA Stop-mode current and autonomous low-energy peripherals that sample heart-rate and motion sensors without waking the CPU. The 256 KB Flash holds BLE stacks and sensor-fusion algorithms, while 32 KB RAM buffers motion data. The compact QFN-12 footprint fits into wrist-watch form factors with multi-day battery life.
Recomendado
Asset Tracking and Logistics Devices
The EFM32LG230F256G-E-QFN64 fits asset-tracking devices that combine GPS, BLE, and accelerometer data because of 256 KB Flash for location-fusion firmware and 32 KB RAM for movement buffers. Low-energy modes enable always-on geo-fence monitoring while the CPU sleeps. The 56 GPIO pins support e-paper displays, buttons, and battery gauges. Long-life silicon revisions extend fleet longevity beyond standard EOL.
Recomendado
Battery-Powered HMI Controllers
The EFM32LG230F256G-E-QFN64 supports battery-powered human-machine interface controllers with segment-LCD or small TFT displays. 256 KB Flash holds graphics libraries and menu logic; 32 KB RAM buffers display frames. 56 GPIO support touch-panel sensing, encoders, and LED indicators. Low-energy modes allow always-on touch sensing while the CPU sleeps, extending battery life in remote-control and thermostat applications.
Recomendado
Resumen de productos recomendados
Datos de referencia de ingeniería para EFM32LG230F256G-E-QFN64 — comparación, orientación de diseño e información de cumplimiento.
Guía de selección
Comparación con alternativas
| Parámetro | Este producto | EFM32LG230F256G-F-QFN64R | EFM32GG230F1024-QFN64T | EFM32LG330F256G-F-QFN64R | EFM32LG230F128G-E-QFN64 |
|---|---|---|---|---|---|
| Package | QFN-64 (9x9 mm) | QFN-64 (9x9 mm) - same | QFN-64 (9x9 mm) - same | QFN-64 (9x9 mm) - same | QFN-64 (9x9 mm) - same |
| Brand | Silicon Labs | Silicon Labs | Silicon Labs | Silicon Labs | Silicon Labs |
| Core | ARM Cortex-M3 | ARM Cortex-M3 | ARM Cortex-M3 | ARM Cortex-M3 | ARM Cortex-M3 |
| Maximum CPU Frequency | 48 MHz | 48 MHz | 48 MHz | 48 MHz | 48 MHz |
| Flash Memory | 256 KB | 256 KB | 1 MB | 256 KB | 128 KB |
| RAM | 32 KB | 32 KB | 128 KB | 32 KB | 32 KB |
| Stop Mode Current | 0.65 microA | 0.65 microA | 0.65 microA | 0.65 microA | 0.65 microA |
| GPIO Pins | 56 | 56 | 56 | 56 | 56 |
| Silicon Revision | E (standard) | F (long-life) | T (tape) | F (long-life) | E (standard) |
Diferenciadores clave
- Industry-leading 0.65 microA Stop-mode current for multi-year battery life (frente a EFM32GG230F1024-QFN64T)
- Mature Cortex-M3 ecosystem with extensive middleware availability (frente a EFM32LG230F128G-E-QFN64)
- Long-life silicon revision (F suffix) available in same footprint (frente a EFM32LG230F256G-F-QFN64R)
Notas de diseño
Use the EFM32LG230F256G-E-QFN64's low-energy peripherals (LETIMER, LESENSE, LEUART) to keep the CPU asleep as much as possible. Per the Silicon Labs EFM32LG datasheet, Stop mode draws 0.65 microA; deeper EM4 (Shutoff) modes draw nanampere-level attenuation but require specific wake-up pin configuration. Always define energy-mode entry/exit sequences in firmware to avoid unintended current spikes during transitions.
At 48 MHz CPU, the device dissipates only a few milliwatts; thermal management is not a primary concern at typical ambient. However, in enclosed industrial enclosures with no airflow, the QFN-64 exposed pad must be soldered to a copper pour for thermal spreading. Estimated theta_JA for QFN-64 9x9 mm with 4-layer 1-oz copper is approximately 25 C/W per JEDEC EIA/JESD51 - acceptable for industrial use.
Place the 1 microF and 100 nF decoupling capacitors as close as possible to the VDD and VSS pins of the EFM32LG230F256G-E-QFN64. Per Silicon Labs reference designs, the QFN-64 exposed thermal pad must be soldered to a continuous ground plane via 9 thermal vias in a 3x3 array. Keep the SWDIO/SWCLK traces short and away from switching nodes to preserve signal integrity.
Estimated: the EFM32LG230F256G-E-QFN64's QFN-64 9x9 mm package has 56 GPIO pins - the discrepancy from 64 is because of dedicated VDD/VSS/RESET pins. Do not assume all 64 pads are GPIO; check the datasheet pinout table. Also, the Cortex-M3 MPU requires aligned memory regions - use the CMSIS pack definitions for proper alignment of interrupt vector tables and stack regions.
Información de cumplimiento
RoHS compliant per Silicon Labs product page. Not AEC-Q100 qualified - choose AEC-Q100 qualified EFR32 variants for automotive applications. Conflict-minerals compliant per Silicon Labs CMRT filings.
