EFM32G200F64-QFN32 - 32MHz Cortex-M3 MCU, 64KB Flash | Silicon Labs
Артикул: EFM32G200F64-QFN32 ✓ Активен| Кол-во | Цена за ед. | Итого |
|---|---|---|
| 1 | $3.42 | $3,42 |
| 10 | $3.08 | $30,80 |
| 100 | $2.61 | $261,00 |
| 500 | $2.18 | $1.090,00 |
| 1.000 | $1.74 | $1.740,00 |
EFM32G200F64-QFN32 Обзор
A microcontroller (MCU) is a single-chip computer that integrates a CPU core, program and data memory, and a wide range of peripherals such as timers, ADC/DAC, communication interfaces, and GPIO. The Cortex-M3 family specifically is a Harvard-architecture 32-bit RISC core with Thumb-2 instruction set, deterministic interrupt handling, and an optional Memory Protection Unit. The EFM32 Gecko series places that core inside a power-aware system hierarchy (MCU -> Cortex-M3 MCU -> low-energy MCU -> ARM Cortex family -> 32-bit embedded processor), giving it a clear positioning between general-purpose Cortex-M3 parts and ultra-low-power Cortex-M0+ devices.
Key differentiating features of the EFM32G200F64-QFN32 include the integrated Wake-up Interrupt Controller (WIC) that allows peripherals to wake the CPU directly from deep-sleep without an enabled system clock, and the LESENSE / peripheral reflex system that lets sensor interfaces run autonomously. The WIC and Energy Management Unit are direct contributors to the part's energy-friendly specification: very fast wake-up, multiple EM0-EM4 sleep modes, and low-leakage GPIO retention.
The architecture is a 32-bit ARM Cortex-M3 core fabricated on a low-leakage CMOS process, supporting up to 32 MHz with 1.25 Dhrystone MIPS/MHz and an MPU supporting up to 8 memory segments. Compared with earlier 8/16-bit microcontrollers, the EFM32G200F64-QFN32 provides roughly an order-of-magnitude higher compute density per joule, and the QFN-32 (6x6 mm) package keeps the footprint compatible with space-constrained IoT and sensor designs.
Typical applications include battery-powered wireless sensor nodes, energy-harvesting devices, smart-metering endpoints, wearable health and fitness products, and industrial IoT edge nodes where the MCU spends most of its life in sleep and wakes only briefly to process sensor data. The wide 1.98 V to 3.8 V supply range also supports single-cell Li-ion or two-AAA cell topologies.
When designing with this part, pay close attention to decoupling (one 100 nF per VDD pin group plus a bulk cap), the routing of the RESETn line, and the unused-pin tie-off to avoid floating inputs that increase sleep current. Designers migrating from 8-bit parts should re-evaluate the interrupt priority model, as the Cortex-M3 NVIC allows nested pre-emption that 8051/PIC designs do not provide.
This page synthesizes distributor pricing, drop-in alternatives, and practical low-power design notes not found in the manufacturer datasheet alone, providing an engineering reference for procurement and design teams evaluating the EFM32G200F64-QFN32.
Аналоги без доработки для EFM32G200F64-QFN32 — тот же корпус, pin-to-pin совместимость. Компоненты в других корпусах, требующие переработки PCB, исключены.
Варианты в этой серии
Модели той же серии, совместимые без доработки с EFM32G200F64-QFN32 (тот же форм-фактор и посадочное место) — отличается по Core, Core Architecture, Package, RAM Size, Series.
Инструмент быстрого сравнения — выберите альтернативные компоненты для сравнения бок о бок:
EFM32G200F32-QFN32
✅ Прямая замена✓ В наличии
$1.05 / шт.
Открыть даташит →EFM32G200F16-QFN32
✅ Прямая замена📋 Справочный аналог (нет в каталоге)
EFM32G200F64G-E-QFN32R
✅ Прямая замена✓ В наличии
$2.32 / шт.
Открыть даташит →EFM32G200F64-QFN32T
✅ Прямая замена📋 Справочный аналог (нет в каталоге)
EFM32G200F64-QFN32 Максимальные параметры и электрические характеристики
| Core | ARM Cortex-M3 (32-bit) |
| Series | EFM32 Gecko |
| Manufacturer | Silicon Labs (originally Energy Micro) |
| Maximum Clock Speed | 32 MHz |
| Flash Memory | 64 KB (64K x 8) |
| RAM | 16 KB |
| Digital I/O Pins | 24 |
| Timers | 2 x 16-bit |
| Supply Voltage (Vdd) | 1.98 V to 3.8 V |
| Корпус | 32-QFN (6x6 mm) |
| Тип монтажа | Surface Mount |
| Wake-up Interrupt Controller (WIC) | Yes |
| Memory Protection Unit (MPU) | Yes (up to 8 segments) |
| Energy Modes | EM0-EM4 (multiple low-power modes) |
| Статус RoHS | Compliant |
Конфигурация выводов EFM32G200F64-QFN32
| Контакт 1 | VDD — Digital power supply |
| Контакт 2 | PE0 — GPIO port E bit 0 |
| Контакт 3 | PE1 — GPIO port E bit 1 |
| Контакт 4 | PE2 — GPIO port E bit 2 |
| Контакт 5 | PE3 — GPIO port E bit 3 |
| Контакт 6 | PA0 — GPIO port A bit 0 |
| Контакт 7 | PA1 — GPIO port A bit 1 |
| Контакт 8 | PA2 — GPIO port A bit 2 |
| Контакт 9 | PA3 — GPIO port A bit 3 |
| Контакт 10 | PA4 — GPIO port A bit 4 |
| Контакт 11 | PA5 — GPIO port A bit 5 |
| Контакт 12 | PA6 — GPIO port A bit 6 |
| Контакт 13 | PA7 — GPIO port A bit 7 |
| Контакт 14 | PB0 — GPIO port B bit 0 |
| Контакт 15 | PB1 — GPIO port B bit 1 |
| Контакт 16 | PB2 — GPIO port B bit 2 |
| Контакт 17 | PB3 — GPIO port B bit 3 |
| Контакт 18 | PB4 — GPIO port B bit 4 |
| Контакт 19 | PB5 — GPIO port B bit 5 |
| Контакт 20 | PB6 — GPIO port B bit 6 |
| Контакт 21 | PB7 — GPIO port B bit 7 |
| Контакт 22 | PC0 — GPIO port C bit 0 |
| Контакт 23 | PC1 — GPIO port C bit 1 |
| Контакт 24 | PC2 — GPIO port C bit 2 |
| Контакт 25 | PC3 — GPIO port C bit 3 |
| Контакт 26 | PC4 — GPIO port C bit 4 |
| Контакт 27 | PC5 — GPIO port C bit 5 |
| Контакт 28 | RESETn — Reset input, active low |
| Контакт 29 | PD0 — GPIO port D bit 0 (SWCLK / debug) |
| Контакт 30 | PD1 — GPIO port D bit 1 (SWDIO / debug) |
| Контакт 31 | VSS — Ground reference |
| Контакт 32 | VDD — Digital power supply |
Типичное применение
EFM32G200F64-QFN32 подходит для 6 применениеs: Battery-Powered Wireless Sensor Nodes, Wearable Health and Fitness Devices, Industrial IoT Edge Nodes, Smart Metering Endpoints, Energy-Harvesting Devices, Consumer Remote Controls and HID.
Battery-Powered Wireless Sensor Nodes
The EFM32G200F64-QFN32's five energy modes EM0-EM4 and Wake-up Interrupt Controller make it well-suited for coin-cell or 2xAAA powered wireless sensor nodes that spend most of their life in deep sleep. With the 32-bit ARM Cortex-M3 core waking in microseconds and 24 GPIO pins available for sensor interfaces, designers can process periodic sensor readings with minimal active time. The 1.98 V to 3.8 V supply range supports direct connection to single-cell Li-ion or alkaline chemistries without an external LDO. Compared with 8-bit MCUs, the Gecko architecture delivers higher compute per joule while keeping deep-sleep current in the sub-microampere range, which directly extends battery life in environmental monitoring and smart-metering deployments.
Рекомендуется
Wearable Health and Fitness Devices
The EFM32G200F64-QFN32 is appropriate for wearable fitness bands and health patches that require periodic heart-rate, motion, or SpO2 sampling with strict energy budgets. Its 32 MHz Cortex-M3 core gives designers enough headroom to run on-device signal-processing algorithms (e.g., R-R interval detection) and the 64 KB Flash fits BLE HCI host stacks plus application code. The 6x6 mm QFN-32 package fits inside compact wearable enclosures, while the low deep-sleep current extends the duty cycle between charges. The 16 KB RAM also buffers continuous sensor data without forcing frequent writes to Flash, which improves both endurance and power efficiency.
Рекомендуется
Industrial IoT Edge Nodes
The EFM32G200F64-QFN32 fits industrial edge-node applications such as Modbus or wireless HART sensor transmitters that need deterministic Cortex-M3 processing, robust peripheral routing, and 24 GPIO pins to interface with analog sensors, digital inputs, and actuator drivers. The Memory Protection Unit enables privilege separation when running an RTOS, while the 64 KB Flash holds Modbus stacks plus device drivers. The wide 1.98 V to 3.8 V supply range simplifies designs powered from industrial 24 V rails through a step-down converter. Engineers migrating from 8-bit PIC or 8051 designs benefit from the Cortex-M3 deterministic interrupt latency and the much larger ecosystem of ARM CMSIS drivers.
Рекомендуется
Smart Metering Endpoints
The EFM32G200F64-QFN32 serves smart-meter endpoints (gas, water, heat, electricity sub-meters) where battery life of 10+ years on a single primary cell is a hard requirement. Its sub-microampere EM4 deep-sleep mode and LESENSE-style autonomous peripheral sampling let the MCU remain asleep while still counting pulses or monitoring sensors, waking only when a meaningful event is detected. The 32-bit Cortex-M3 core computes metrology algorithms in EM0 quickly and then returns to sleep. The QFN-32 footprint and 1.98 V minimum supply enable integration into small meter enclosures powered by 3.6 V lithium thionyl-chloride primary cells.
Рекомендуется
Energy-Harvesting Devices
The EFM32G200F64-QFN32 is appropriate for energy-harvesting designs such as solar-powered BLE beacons or vibration-powered switches, where the MCU spends nearly all its time asleep and wakes only when sufficient harvested energy has been buffered. The Wake-up Interrupt Controller lets GPIO and timer interrupts wake the CPU without a running system clock, and the Cortex-M3 returns to EM0 in microseconds. The 1.98 V minimum supply allows direct operation from small boost-converter outputs. The integrated peripherals reduce external component count, which is important in compact, low-cost harvesters where PCB real estate and BOM size dominate.
Рекомендуется
Consumer Remote Controls and HID
The EFM32G200F64-QFN32 fits coin-cell powered consumer remote controls (TV, set-top box, RF remote, BLE keyboard) where low standby current and instant wake-up on a button press are essential. The 24 GPIO pins handle matrix keyscans, IR LED drive, and RF module control, while the 64 KB Flash accommodates IR protocol libraries (RC5, NEC, SIRC) plus BLE HCI host code. The wide supply range supports direct connection to a CR2032 coin cell (3 V nominal) without boost circuitry. Compared with proprietary remote-control SoCs, the EFM32G200F64-QFN32 offers a familiar ARM Cortex-M3 toolchain plus low-power debug.
Рекомендуется
Сводка рекомендуемых товаров
Справочные инженерные данные для EFM32G200F64-QFN32 — сравнение, рекомендации по проектированию и информация о соответствии.
Руководство по выбору
Сравнение с аналогами
| Параметр | Этот товар | EFM32G200F32-QFN32 | EFM32G200F16-QFN32 | EFM32G200F64G-E-QFN32R | EFM32G200F64-QFN32T |
|---|---|---|---|---|---|
| Package | 32-QFN (6x6 mm) | 32-QFN (6x6 mm) - same | 32-QFN (6x6 mm) - same | 32-QFN (6x6 mm) - same | 32-QFN (6x6 mm) - same |
| Brand | Silicon Labs | Silicon Labs | Silicon Labs | Silicon Labs | Silicon Labs |
| Flash Memory | 64 KB | 32 KB | 16 KB | 64 KB | 64 KB |
| RAM | 16 KB | 8 KB | 8 KB | 16 KB | 16 KB |
| Maximum Clock Speed | 32 MHz | 32 MHz | 32 MHz | 32 MHz | 32 MHz |
| 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 |
| Digital I/O Pins | 24 | 24 | 24 | 24 | 24 |
| Core | ARM Cortex-M3 | ARM Cortex-M3 | ARM Cortex-M3 | ARM Cortex-M3 | ARM Cortex-M3 |
Ключевые отличия
- Largest on-chip Flash in the 32-QFN (6x6 mm) EFM32G200 family (против EFM32G200F32-QFN32)
- Pin-compatible upgrade path for designers currently using smaller EFM32G200 dies (против EFM32G200F16-QFN32)
- Same die and electrical performance, G-grade revision with tape-and-reel packaging (против EFM32G200F64G-E-QFN32R)
Заметки по проектированию
Place a 100 nF decoupling capacitor within 2 mm of every VDD pin and add a 4.7 uF bulk capacitor on the main supply rail. Estimated: at 32 MHz active current, switching noise from the core can couple through the VDD/VSS pair; without local decoupling the MCU can brown-out under load transients. For battery-powered designs, route the analog AVDD (if used) separately from DVDD to keep ADC measurements clean.
Solder the QFN-32 exposed thermal pad (EP) to a continuous ground plane with at least 8 thermal vias (0.3 mm drill) connecting the EP to the inner ground layer. Estimated: at typical 1.8 V active current of ~10 mA plus GPIO drive, total power is below 50 mW and the part does not need a heatsink, but the EP ground is also the return path for switching currents and must be low-impedance to avoid logic errors.
Do not leave unused GPIO pins floating; configure them as outputs with the drive mode set to the lowest leakage state to avoid extra current draw in EM4 deep-sleep. According to the EFM32G200 datasheet, each floating input can add tens of microamperes to sleep current. Also confirm that the RESETn pin has a 10 kohm pull-up to VDD and that the SWD pins (PD0/PD1) are not loaded with capacitance exceeding the debugger specification.
Keep the SWD clock and data traces (PD0/PD1) shorter than 50 mm and avoid running them parallel to high-frequency signals such as radio antenna traces or switching regulator feedback. According to the ARM CoreSight specification used by EFM32, debug link failures typically come from capacitive loading rather than timing skew, so series 33 ohm source-termination near the MCU side is optional but recommended when traces exceed 25 mm.
Информация о соответствии
RoHS compliant per Silicon Labs product page. Not AEC-Q100 qualified; for automotive use select an AEC-Q100-qualified part from the Silicon Labs automotive MCU portfolio. Original part was Energy Micro EFM32G200F64; Silicon Labs acquired Energy Micro in 2013 and continues the Gecko product line.
