Aiming Low: Low-Power MCUs for the IoT
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This document discusses low-power microcontrollers for IoT applications. It describes the EFM32TG and EFM32ZG microcontrollers, which offer very low active power consumption between 110-150 μA/MHz at 3V. They can wake from sleep modes in just 2 microseconds and have ultra-low standby currents as low as 20 nA. The microcontrollers provide autonomous peripherals that can operate independently of the CPU when it is sleeping to further reduce power usage. They also have well-designed energy modes that allow extremely low power consumption down to 500 nA in stop mode and 20 nA in shutoff mode.
Aiming Low: Low-Power MCUs for the IoT
- 1. Aiming Low: Low-Power MCUs for the IoT
- 2. 2 Silicon Labs Confidential Reduced processing time Very fast wake up time Very low active power consumption 10 Low-Energy Design Factors EFM32TG µA/MHz @3V EFM32ZG µA/MHz @3V 150 110 CoreMark/MHz Cortex-M0+ Cortex-M3 Cortex-M4 2.42 3.32 3.40 Wake-up time from sleep modes 2 µs
- 3. 3 Silicon Labs Confidential Autonomous peripherals Peripheral Reflex System Ultra-low standby current 10 Low-Energy Design Factors Direct peripheral interconnection system Boosting the value of autonomous operation Highly configurable Operation while CPU sleeps Extensive DMA Support All peripherals can operate autonomously Shutoff current @ 3V Deep Sleep @ 3V incl. POR, BOD, RTC, RAM and CPU retained 20 nA 900 nA Reflex Producers Reflex Consumers ARM Cortex -M processor Z Z Z Peripheral Reflex System ADCTimer GPIO DAC
- 4. 4 Silicon Labs Confidential Ultra energy efficient peripherals Low Energy Sensor Interface Well designed Energy Modes 10 Low-Energy Design Factors EM0 “Run Mode”: 110 µA/MHz EM1 “Sleep Mode”: 45 µA/MHz EM2 “Deep Sleep Mode”: 900 nA RTC, Brown-Out Detection, RAM and CPU retained EM3 “Stop Mode”: 500 nA Brown-Out Detection, RAM & CPU retained EM4 “Shutoff Mode”: 20 nA Pin/GPIO Reset, RTC + 512-byte backup memory : 400 nA Analog to Digital Converter 12-bit @ 1 MSamples/s: 350 µA Low Energy UART Full UART with 32 kHz clock 150 nA @ 9600 baud/s LCD Controller Directly driving up to 8x36 segment LCDs Boost/Contrast/Animation/Blink 550 nA for 4x40 Autonomous sensor monitoring in deep sleep Up to 16 sensors simultaneously Highly configurable Resistive, Capacitive, Inductive EFM32 Z Z Z Z Z
- 5. 5 Silicon Labs Confidential 10 Low-Energy Design Factors AEM - Advanced Energy Monitoring and the energyAware Profiler The energyAware Profiler is an energy debugging tool that use Advanced Energy Monitoring (AEM) data available from the development tools to perform real- time profiling and debugging of the associated object code.
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