Energy storage debugging tool

What is energy debugging?

Energy debugging is now a circular development cycle where developers can use Energy Micro’s hardware and software tools together with EFM32 MCUs to achieve the lowest energy consumption in their applications (Figure 2). The developer can iteratively debug the code towards energy friendliness with instant feedback on the applied changes.

What is power debugger?

Can deliver up to 100mA Power Debugger is a powerful development tool for debugging and programming AVR microcontrollers using UPDI, JTAG, PDI, debugWIRE, aWire, TPI or SPI target interfaces and ARM® Cortex®-M based SAM microcontrollers using JTAG or SWD target interfaces.

What is Energy Micro's advanced energy debugging tool?

These energy pitfalls can now be avoided with Energy Micro’s patent pending toolset for advanced energy debugging. The simple and affordable solution presented by Energy Micro enables developers to identify and remove energy bugs with a high degree of accuracy.

How important is time factor for energy debugging?

Energy consumption is simply the area below the current trace, so the smaller the area the smaller the energy drain. This is achieved by reducing the current consumption and the time the MCU takes to execute tasks. It is therefore easy to realize how important the time factor is for energy debugging.

How can software reduce energy consumption?

Software is not usually seen as an energy drain but every clock cycle consumes energy and minimizing this becomes a key challenge in order to reduce overall system consumption. Developers are now able to visualize the energy consumption of their systems and relate it to the software running on the microcontroller.

What is the energy storage evaluation tool (ESET TM)?

The Energy Storage Evaluation Tool (ESET TM) is a suite of applications that enable utilities, regulators, vendors, and researchers to model, optimize, and evaluate various energy storage systems (ESS). The tool examines a broad range of use cases and grid applications to maximize ESS benefits from stacked value streams.