Squeezing the Most out of Battery Life using Modern MCU’s


The proliferation of mobile devices has led to the need of squeezing every last micro-amp-hour out of batteries.

Minimizing the energy profile of a micro-controller is not always straight forward. A combination of sleep modes, peripheral control and other techniques can be used to maximize battery life. In this session, strategies for optimizing micro-controller energy profiles will be examined which will extend battery life while maintaining the integrity of the system. These techniques will be demonstrated and labs performed on an ARM Cortex-M platform but can easily be used on any modern MCU.

Course Overview

Session 1 – Introduction to Low Power Systems

  • Overview of Low Power
  • Identifying the problem
  • Understanding Energy and Current
  • Energy Profiles
  • Measuring Current

Session 2 – Fundamentals of Low Power Systems

  • Dynamic vs Static Current
  • 8 bit vs 32 bit
  • Calculating Power Consumption
  • Power Budgets
  • A low power example
  • Design Goals

Session 3 – Microcontroller Low Power Modes

  • Overview of Power Modes
  • Run Modes
  • Wait Modes
  • Deep Sleep Modes
  • Entering and Waking from Sleep
  • Examples

Session 4 – Software Architecture and Low Power

  • Overview of Software Architectures
  • Wait for Event and Wait for Interrupt
  • The effects of Interrupts
  • Sleep on Exit
  • RTOS Energy Minimization
  • Architecture Selection and Implementation

Session 5 – Energy Conservation Techniques

  • Frequency vs Voltage
  • Clock Throttling
  • Autonomous Peripherals
  • DMA
  • Compiler Optimizations
  • Energy Profiling Tools
  • Example Wake Code

The course is organized as a “work at your own pace” course which allows the student to either complete the course in a single day or split it up over the course of a week or month. The course is designed to be 50% lecture and 50% lab with a plethora of examples for real world use.

This course can be ordered by clicking the “Add to Cart” button located at the bottom of the page.

The course is also offered on-site and as series of webinars. Anyone interested in this method can contact us at [email protected] to request the course schedule.

For additional questions or comments please contact sales@beningo.com

Price: $495

* Please note that once the course is added to the cart you must return to the bottom of the Training Page to Check-out or click here to check-out.