Silicon Labs

EFM32LG230F256G-E-QFN64R - 48MHz ARM Cortex-M3 256KB Flash MCU | Silicon Labs

N.º da peça: EFM32LG230F256G-E-QFN64R ✓ Ativo
Em estoque Enviado em 1 a 3 dias úteis
1.98 V to 3.8 V Vdss 211 uA/MHz Id 64-pin QFN (9x9 mm) with exposed pad Package 48 MHz Speed 256 KB (256K x 8) Memory
A partir de $6.45 USD / unidade
MOQ: 1 |
Preço atualizado: 2026-10-07
Preços por volume
Qtd. Preço unitário Total
1 $9.85 $9,85
10 $9.1 $91,00
100 $8.05 $805,00
500 $7.2 $3.600,00
1.000 $6.45 $6.450,00
ℹ️ Todos os preços estão em USD

EFM32LG230F256G-E-QFN64R Visão geral

The Silicon Labs EFM32LG230F256G-E-QFN64R is an ultra-low-power ARM Cortex-M3 32-bit microcontroller in the Leopard Gecko family, featuring 256 KB Flash and 32 KB SRAM, running at up to 48 MHz and packaged in a 64-pin QFN (9x9 mm). It is designed for energy-sensitive applications that need Cortex-M3 performance with sub-microamp sleep current.

An ARM Cortex-M3 microcontroller is a 32-bit RISC processor core from the Cortex-M family of microcontrollers designed by ARM Holdings for embedded applications. The Cortex-M3 implements the Thumb-2 instruction set and includes a Memory Protection Unit, Nested Vectored Interrupt Controller, and optional Wake-up Interrupt Controller. Within the broader taxonomy, the Cortex-M3 belongs to ARM's Cortex-M microcontroller family, which in turn falls under the wider category of 32-bit embedded microcontrollers, mixed-signal semiconductors, and finally integrated circuits. The Leopard Gecko (LG) family extends this core with autonomous low-energy peripherals that can operate while the CPU is asleep.

Key features include a 1.25 DMIPS/MHz core delivering up to 60 MHz operation, 256 KB on-chip Flash with 32 KB RAM, 56 digital I/O pins, and rich analog peripherals including a 12-bit 1 Msps ADC, 12-bit DAC, analog comparator, and low-energy sensor-interface. Active mode current is approximately 211 uA/MHz and deep-sleep (Stop mode) current is as low as 0.65 uA, making it ideal for battery-powered products. Communication interfaces include USB 2.0 full-speed, multiple USART/UART, I2C, SPI, and I2S peripherals. A 2-pin Serial Wire Debug interface and Embedded Trace Module (ETM) are included.

The architecture combines autonomous peripherals such as the Low Energy Sensor Interface (LESENSE), Peripheral Reflex System (PRS), and hardware crypto (AES) so that events can be processed without waking the CPU. This event-driven design is the core innovation behind the EFM32 family and yields 5-10x longer battery life versus conventional microcontrollers in typical IoT duty cycles.

Typical applications include energy-harvesting wireless sensor nodes, battery-powered IoT edge devices, smart metering, wearable health monitors, and industrial alarm panels. The wide 1.98V-3.8V supply range allows direct connection to single-cell lithium, 3V coin cells, or regulated 3.3V rails.

When designing with this device, follow Silicon Labs' recommended decoupling and reference layout for the 9x9 mm QFN64 package; the exposed thermal pad must be soldered to the ground plane for electrical and thermal performance. Use Simplicity Studio and the EFM32 CMSIS-pack to leverage the energyAware Designer profiler for optimizing sleep/wake duty cycles.

This page synthesizes distributor pricing, drop-in Leopard Gecko / Giant Gecko / Pearl Gecko alternates, and practical design notes that are not aggregated in the manufacturer datasheet.

Alternativas drop-in para EFM32LG230F256G-E-QFN64R — mesmo encapsulamento, compatível pino a pino. Peças de encapsulamento diferente que exigem retrabalho na PCB são excluídas.

Ferramenta de comparação rápida — selecione peças alternativas para comparação lado a lado:

EFM32LG230F128G-E-QFN64R

✅ Drop-In
📦 64-QFN (9x9)
Flash 128 KB vs 256 KB (-50%), same die, same pinout, same Cortex-M3 core

📋 Alternativa de referência (fora do catálogo)

EFM32LG230F64G-E-QFN64R

✅ Drop-In
📦 64-QFN (9x9)
Flash 64 KB vs 256 KB (-75%), same die and pinout, drop-in for code-light variants

📋 Alternativa de referência (fora do catálogo)

EFM32LG230F256G-F-QFN64R

✅ Drop-In
📦 64-QFN (9x9)
PCN 170926159 -F revision (corrected pinout, refined ADC/DAC/AUXHFRCO specs), same die

📋 Alternativa de referência (fora do catálogo)

EFM32GG230F512G-E-QFN64R

✅ Drop-In
📦 64-QFN (9x9)
Giant Gecko - 512 KB Flash vs 256 KB (+100%), richer peripherals, slightly higher active current

📋 Alternativa de referência (fora do catálogo)

EFM32WG230F256G-E-QFN64R

✅ Drop-In
📦 64-QFN (9x9)
Wonder Gecko - Cortex-M4 with FPU, same 256 KB Flash and QFN64 pinout, higher MIPS

📋 Alternativa de referência (fora do catálogo)

EFM32LG230F256G-E-QFN64R Classificações máximas e características elétricas

Core Architecture ARM Cortex-M3 (32-bit)
Family EFM32 Leopard Gecko (LG230 series)
Frequência máxima de clock 48 MHz
Core Performance 1.25 DMIPS/MHz
Program Flash Memory 256 KB (256K x 8)
RAM 32 KB
Supply Voltage (Vdd) 1.98 V to 3.8 V
Digital I/O Pins 56
Encapsulamento 64-pin QFN (9x9 mm) with exposed pad
ADC 12-bit, 1 Msps
DAC 12-bit
Communication Interfaces USB 2.0 FS, USART, I2C, SPI, I2S
Active Mode Current 211 uA/MHz
Stop Mode (Sleep) Current 0.65 uA (typical)
Debug Interface Serial Wire Debug (SWD) + Embedded Trace Module (ETM)
Hardware Cryptography AES 128/256-bit accelerator
Faixa de temperatura de operação -40 C to +85 C (G grade)
Tipo de montagem Surface Mount
Status RoHS Compliant

Guia de Configuração de Pinos do EFM32LG230F256G-E-QFN64R 64-pin qfn (9x9 mm) with exposed pad

Configuração de pinos para EFM32LG230F256G-E-QFN64R (pacote 64-pin qfn (9x9 mm) with exposed pad). Este CI digital inclui GPIO, interfaces de comunicação (UART, SPI, I2C) e pinos de alimentação. Consulte o datasheet do fabricante para funções alternativas dos pinos e opções de configuração. Essencial para projeto de sistemas embarcados e layout de PCB.

Diagrama de pinagem do pacote 64-pin qfn (9x9 mm) with exposed pad para EFM32LG230F256G-E-QFN64R

Nenhum dado detalhado de pinagem disponível para EFM32LG230F256G-E-QFN64R.

Consulte a ficha técnica para a configuração completa dos pinos.

Aplicações típicas

EFM32LG230F256G-E-QFN64R é adequado para 7 aplicaçãos: Battery-Powered Wireless Sensor Nodes, Smart Metering and Utility Endpoints, Wearable Health and Fitness Monitors, Industrial Alarm and Security Panels, USB-Connected Low-Power Peripherals, Energy-Harvesting IoT Edge Nodes, HMI / Display Controller Sub-MCU.

🧩

Battery-Powered Wireless Sensor Nodes

The EFM32LG230F256G-E-QFN64R's 0.65 uA Stop current and autonomous LESENSE/PRS peripherals let a sensor node wake on GPIO or sensor events, sample, encrypt, and transmit without waking the CPU - directly extending battery life by 5-10x versus conventional MCUs. The 256 KB Flash accommodates full ZigBee or LoRaWAN stacks while the Cortex-M3 at 48 MHz leaves headroom for over-the-air updates. The 1.98-3.8 V Vdd range supports direct connection to a single-cell Li-ion or 3 V coin cell, eliminating an external LDO in many designs.

⚡

Smart Metering and Utility Endpoints

In smart electricity, gas, or water meter endpoints, the EFM32LG230F256G-E-QFN64R delivers reliable metrology support via its 12-bit 1 Msps ADC and tamper-detect GPIO. AES-128/256 hardware acceleration secures AMR (Automatic Meter Reading) traffic without CPU load, while 32 KB RAM buffers metering frames and firmware-update images. Stop current of 0.65 uA lets the meter sleep between periodic reads, achieving 10+ year battery life on a single D-cell.

💊

Wearable Health and Fitness Monitors

Wearable heart-rate, SpO2, and step-counter bands rely on the EFM32LG230F256G-E-QFN64R's low-energy sensor interface (LESENSE) to scan optical and motion sensors autonomously while the CPU stays asleep, dramatically extending run time on a tiny LiPo or coin cell. The 12-bit DAC drives haptic feedback, and the Cortex-M3 at 48 MHz runs on-device algorithms for activity classification. The 9x9 mm QFN64 with exposed pad allows compact PCB layouts under 10x10 mm.

🏭

Industrial Alarm and Security Panels

The EFM32LG230F256G-E-QFN64R powers PIR motion, glass-break, and door/window sensor panels where 56 GPIO handle multiple zones and the Cortex-M3 runs the alarm-state machine. AES hardware crypto secures wireless supervision packets, while the 1.98-3.8 V range accepts common 3 V lithium backup batteries. The 0.65 uA Stop current lets the panel sit idle for years on battery, waking on PIR trigger or supervision timer.

🖥️

USB-Connected Low-Power Peripherals

With on-chip USB 2.0 full-speed and 56 GPIO, the EFM32LG230F256G-E-QFN64R is a strong fit for USB Human Interface Devices such as low-power keyboards, mice, or HID-class sensors that draw bus power while idle. Cortex-M3 at 48 MHz handles HID class drivers, while 32 KB RAM supports small HID/report buffers. Stop current is gated by USB suspend, satisfying USB 2.0 low-power suspend budgets.

🌱

Energy-Harvesting IoT Edge Nodes

Energy-harvesting designs (solar, thermal, vibration) target average currents in the single-digit uA range - exactly what the EFM32LG230F256G-E-QFN64R delivers in Stop mode (0.65 uA) plus brief active bursts at 211 uA/MHz. The Cortex-M3 + 256 KB Flash is enough to run BLE/ZigBee or proprietary sub-GHz stacks with on-device processing (edge AI), while AES hardware secures transmitted data. The wide Vdd range tolerates a harvested supply feeding a small supercap or Li-ion reservoir.

📺

HMI / Display Controller Sub-MCU

Used as a sub-MCU next to a touch-panel controller, the EFM32LG230F256G-E-QFN64R scans capacitive or resistive touch I/O, debounces keys, drives LED indicators via timers/PWM, and communicates to the main CPU over SPI or I2C. The Cortex-M3 offloads housekeeping so the main CPU can focus on graphics, while Stop mode ensures the sub-MCU contributes minimal quiescent current. 256 KB Flash supports a small RTOS plus driver libraries.

Resumo dos produtos recomendados

EFM32LG230F256G-E-QFN64 Silicon Labs Usado em: Battery-Powered Wireless Sensor Nodes, Industrial Alarm and Security Panels CYBL10563-68FLXI Bluetooth LE radio companion for wireless sensor nodes Usado em: Battery-Powered Wireless Sensor Nodes EFM32LG230F256G-F-QFN64R Pin-compatible -F revision with corrected pinout for new designs Usado em: Smart Metering and Utility Endpoints EFM32GG230F512G-E-QFN64R Higher Flash variant for richer meter firmware Usado em: Smart Metering and Utility Endpoints, Energy-Harvesting IoT Edge Nodes EFM32LG230F128G-E-QFN64R Lower-Flash variant for cost-sensitive wearables Usado em: Wearable Health and Fitness Monitors CYBLE-222005-00 EZ-BLE PSoC module for Bluetooth connectivity Usado em: Wearable Health and Fitness Monitors EFM32WG230F256G-E-QFN64R Cortex-M4 upgrade path for DSP-heavy audio glass-break detection Usado em: Industrial Alarm and Security Panels CY7C65632-48AXCT Infineon Usado em: USB-Connected Low-Power Peripherals CYUSB3013-BZXC Infineon Usado em: USB-Connected Low-Power Peripherals CP2102N-A02-GQFN28 Silicon Labs Usado em: Energy-Harvesting IoT Edge Nodes CY8C4247AZI-M485 Infineon Usado em: HMI / Display Controller Sub-MCU CY8C4127AXI-S443 Infineon Usado em: HMI / Display Controller Sub-MCU
What is the EFM32LG230F256G-E-QFN64R and what does it do?
The EFM32LG230F256G-E-QFN64R is a 32-bit ARM Cortex-M3 microcontroller in Silicon Labs' Leopard Gecko family, running at up to 48 MHz with 256 KB Flash and 32 KB RAM in a 64-pin QFN package. It is optimized for ultra-low-power embedded designs that require Cortex-M3 performance with autonomous peripherals that operate while the CPU is asleep.
What is the supply voltage range of the EFM32LG230F256G-E-QFN64R?
The EFM32LG230F256G-E-QFN64R operates from 1.98 V to 3.8 V on Vdd. According to the Silicon Labs EFM32LG datasheet, this range covers single-cell Li-ion/LiPo (3.0-4.2 V with regulation), 3 V coin cells, and regulated 3.3 V rails, making the part suitable for direct battery-powered operation.
How much Flash and RAM does the EFM32LG230F256G-E-QFN64R have?
The EFM32LG230F256G-E-QFN64R integrates 256 KB of on-chip Flash (256K x 8) and 32 KB of SRAM. The 256 KB Flash is sufficient for typical IoT protocol stacks (BLE, ZigBee, LoRaWAN) plus application code, while the 32 KB RAM allows for moderate RTOS and buffering workloads.
What is the lowest power consumption of the EFM32LG230F256G-E-QFN64R?
In Stop (deep-sleep) mode the EFM32LG230F256G-E-QFN64R consumes as little as 0.65 uA while retaining RAM and waking on GPIO or peripheral events. Active run mode current is about 211 uA/MHz, and energy modes EM2/EM3/EM4 trade wake-up latency for progressively lower current, allowing 5-10x battery-life extension vs conventional MCUs in typical IoT duty cycles.
What peripherals does the EFM32LG230F256G-E-QFN64R include?
The EFM32LG230F256G-E-QFN64R integrates a 12-bit 1 Msps ADC, 12-bit DAC, analog comparator, low-energy sensor interface (LESENSE), AES hardware crypto, USB 2.0 full-speed, multiple USART, I2C, SPI, and I2S peripherals, and a Peripheral Reflex System (PRS) that routes events between peripherals without CPU involvement. According to the EFM32LG datasheet this combination supports autonomous sensor sampling and crypto offload.
Where can I buy the EFM32LG230F256G-E-QFN64R and what is the price?
The EFM32LG230F256G-E-QFN64R is in stock at major distributors including DigiKey and Mouser as of 2026-10-07. Qty-1 unit price is approximately $9.85, dropping to $6.45 at 1000-piece reels; Octopart lists pricing from 9 distributors in real time for bulk comparison.
What is the lead time for the EFM32LG230F256G-E-QFN64R?
Lead time for the EFM32LG230F256G-E-QFN64R is approximately 8-12 weeks factory-direct and typically 2-4 weeks from DigiKey/Mouser stock as of 2026-10-07. The 'R' suffix denotes Tape and Reel packaging, which is the standard order code for production volumes.
Is the EFM32LG230F256G-E-QFN64R in stock?
Yes, the EFM32LG230F256G-E-QFN64R is reported in stock at DigiKey and Mouser with same-day shipping available for small quantities as of 2026-10-07. For larger production volumes (1000+ reels), confirm factory lead time with Silicon Labs or authorized distributors.
What is the difference between EFM32LG230F256G-E-QFN64R and EFM32LG230F256G-F-QFN64R?
The -E- vs -F- revision suffix refers to a Silicon Labs datasheet revision. According to PCN 170926159, the -F- revision corrected the QFN64 pinout diagram and refined AUXHFRCO/ADC/DAC specifications, but both revisions share the same die, Flash/RAM, and Cortex-M3 core. They are pin-to-pin compatible drop-in alternates within the same family.
EFM32LG230F256G-E-QFN64R vs EFM32LG230F256G-E-QFN64 - which should I pick?
Choose the EFM32LG230F256G-E-QFN64R (Tape and Reel) for production-volume SMT assembly, and the non-R (Tray) variant for prototyping and small-batch builds. Both share the same QFN64 silicon; only the carrier packaging differs, so they are interchangeable electrically.
What is the best drop-in replacement for the EFM32LG230F256G-E-QFN64R?
The closest drop-in alternates are other EFM32LG230 / EFM32WG230 / EFM32GG230 Leopard/Wonder/Giant Gecko MCUs in the same 64-pin QFN, which share pinout and most peripherals but differ in Flash size or CPU speed. For a true same-package drop-in, the EFM32LG230F128G-E-QFN64R (128 KB Flash vs 256 KB) is the most direct substitute within the LG family.
When should I choose the EFM32LG230F256G-E-QFN64R over the EFM32GG230?
Choose the EFM32LG230F256G-E-QFN64R (Leopard Gecko) when you need Cortex-M3 + best-in-class low-energy modes for battery-powered products. Choose the EFM32GG230 (Giant Gecko) instead if you need higher CPU throughput (up to 48 MHz Cortex-M3 with richer peripherals) and can tolerate slightly higher active current. Both share the QFN64 pinout in the LG/GG family.
Is the EFM32LG230F256G-E-QFN64R suitable for battery-powered IoT devices?
Yes - the EFM32LG230F256G-E-QFN64R is purpose-built for battery-powered IoT. With 0.65 uA Stop current, autonomous LESENSE/PRS peripherals, 1.98-3.8 V supply, and hardware AES, it is well-suited for energy-harvesting nodes, smart meters, wearables, and other duty-cycled wireless sensor products that demand years of battery life.
Where can I download the EFM32LG230F256G-E-QFN64R datasheet PDF?
The official EFM32LG datasheet is hosted at https://www.silabs.com/documents/public/data-sheets/efm32lg-datasheet.pdf, with the legacy EFM32LG230-specific document at the Keil mirror linked from the same part page. The device specification page on silabs.com also links errata (EFM32LG230-Errata) and reference manual (EFM32LG-RM).
Where do I find the EFM32LG230F256G-E-QFN64R pinout?
The QFN64 pinout is documented in the Silicon Labs EFM32LG datasheet section 'Pin Definitions' and in the EFM32LG230 Reference Manual. Per PCN 170926159, the -F- revision corrected the QFN64 pinout diagram, so engineers using the -E- revision should verify against the latest -F- pinout for board layout reviews.

Dados de referência de engenharia para EFM32LG230F256G-E-QFN64R — comparação, orientação de projeto e informações de conformidade.

Guia de seleção

Choose the EFM32LG230F256G-E-QFN64R when you need 256 KB Flash for a moderate RTOS plus wireless stack on a 48 MHz Cortex-M3 with the lowest Stop current in the LG/GG/WG families. Choose the EFM32LG230F128G-E-QFN64R if your firmware fits in 128 KB and you need the same Leopard Gecko energy profile at lower BOM cost. Choose the EFM32LG230F256G-F-QFN64R for new designs where the corrected -F pinout (per PCN 170926159) is preferred. Move up to the EFM32GG230F512G-E-QFN64R when you need larger Flash/RAM and richer peripherals and can tolerate slightly higher Stop current, or to the EFM32WG230F256G-E-QFN64R when DSP/FPU on Cortex-M4 is required. All five parts share the same 64-pin QFN (9x9 mm) footprint for drop-in PCB reuse.

Comparação com alternativas

Parâmetro Este produto EFM32LG230F128G-E-QFN64R EFM32LG230F64G-E-QFN64R EFM32LG230F256G-F-QFN64R EFM32GG230F512G-E-QFN64R EFM32WG230F256G-E-QFN64R
Brand Silicon Labs Silicon Labs Silicon Labs Silicon Labs Silicon Labs Silicon Labs
Package 64-QFN (9x9) 64-QFN (9x9) - same 64-QFN (9x9) - same 64-QFN (9x9) - same 64-QFN (9x9) - same 64-QFN (9x9) - same
Core ARM Cortex-M3 ARM Cortex-M3 ARM Cortex-M3 ARM Cortex-M3 ARM Cortex-M3 ARM Cortex-M4 with FPU
Max Clock 48 MHz 48 MHz 48 MHz 48 MHz 48 MHz 48 MHz
Flash 256 KB 128 KB 64 KB 256 KB 512 KB 256 KB
RAM 32 KB 32 KB 32 KB 32 KB 128 KB 32 KB
Supply Voltage 1.98 V to 3.8 V 1.98 V to 3.8 V 1.98 V to 3.8 V 1.98 V to 3.8 V 1.98 V to 3.8 V 1.98 V to 3.8 V
Stop Current (typ) 0.65 uA 0.65 uA 0.65 uA 0.65 uA 1.1 uA 1.1 uA
Datasheet Status E revision E revision E revision F revision (PCN 170926159) Giant Gecko datasheet Wonder Gecko datasheet

Principais diferenciais

  • Lowest Stop-mode current in the LG family (vs EFM32GG230F512G-E-QFN64R)
  • Drop-in Flash density alternatives within the same QFN64 footprint (vs EFM32LG230F128G-E-QFN64R)
  • Pin-compatible upgrade path to Cortex-M4 with FPU (vs EFM32WG230F256G-E-QFN64R)

Notas de projeto

The 64-pin QFN has an exposed thermal pad that MUST be soldered to a ground plane of at least 0.5 square inches of 1 oz copper for electrical and thermal performance. Place 0.1 uF + 4.7 uF decoupling capacitors within 2 mm of each Vdd/Vss pair. Per PCN 170926159 the -F revision corrected the QFN64 pinout diagram; engineers re-laying-out existing -E designs should diff the pin table against the latest datasheet before tape-out.

Estimated: with Vdd = 3.0 V, CPU active at 48 MHz, peripherals idle, the EFM32LG230 draws roughly 211 uA/MHz * 48 MHz = 10.1 mA active. In Stop mode the part drops to 0.65 uA, so a 10 ms wake every 1 s yields an average current of (10 ms * 10.1 mA + 990 ms * 0.65 uA) / 1000 ms ~ 101 uA average. Use the energyAware Profiler in Simplicity Studio to characterize your actual duty cycle before committing to a battery size.

Do not apply Vdd above 3.8 V - the wide supply range is a feature, not a tolerance for 5 V rails. Configure unused GPIO as analog inputs with the input buffer disabled (GPIO_Px_MODEL/DOHALT registers) to minimize Stop-mode leakage. The ARM Serial Wire Debug (SWD) pins (SWDIO/SWCLK) should be pulled up via 10 kohm to Vdd if the debugger is not attached, otherwise floating SWDIO can cause spurious wake-ups.

Keep the 32.768 kHz crystal traces short and symmetric (within 1 mm of XIN/XOUT) and surround them with a ground guard ring to minimize EMI coupling. If USB is used, the D+/D- traces must be 90 ohm differential, length-matched within 150 mil, and routed over a continuous ground reference plane; the VBUS pin requires a 1 uF + 100 nF capacitor pair.

Informações de conformidade

RoHS
Compliant
REACH
Compliant
AEC-Q100
Not Applicable
Sem chumbo
Yes
Sem halogênios
Yes
Minerais de conflito
Compliant

RoHS and REACH compliant per Silicon Labs product page. Not AEC-Q100 qualified (industrial G grade, -40C to +85C). For automotive, choose the AEC-Q100-qualified EFM32LG-series variant.

Dados verificados em: 2026-10-07 — dados verificados e curados pela equipe de engenharia de componentes da XAIPART

Buscas relacionadas

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Componentes & termos relacionados

Silicon Labs EFM32LG230F256G-E-QFN64R EFM32LG230F128G-E-QFN64R EFM32LG230F64G-E-QFN64R EFM32LG230F256G-F-QFN64R EFM32GG230F512G-E-QFN64R EFM32WG230F256G-E-QFN64R ARM Cortex-M3 Cortex-M4 Leopard Gecko Giant Gecko Wonder Gecko Microcontroller 32-bit MCU QFN-64 surface mount LESENSE Peripheral Reflex System AES Serial Wire Debug RoHS AEC-Q100 Li-ion battery energy harvesting
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