Low power high accuracy fuel gauging
tailored for embedded IoT
Estimating state-of-charge in rechargeable batteries
Estimating the state of charge in recherageable lithium batteries is crucial for optimizing performance and ensuring safe operation. There are several methods used to estimate the state-of-charge of single-cell lithium batteries.
All methods have their benefits and drawbacks, but some benefits are more desired and some drawbacks are less severe than others. For the nPM1300 and nPM1304, we decided that algorithm based fuel gauging was the way to go.
To take advantage of the fuel gauging capabilities of the nPM1304, you can read the application note explaining how to create a virtual model of your battery for use with the fuel gauge sample in the nRF Connect SDK.
For selected lithium ion polymer batteries from Renata, Nordic is also providing turnkey battery models ready to use. Scroll down to see the list of supported batteries.
Learn how
Guide to profile your batteries with nPM FG
Low power high accuracy fuel gauging tailored for embedded IoT
To accurately estimate the battery state-of-charge in percent, from 0 to 100 %, the nPM1304's fuel gauge functionality uses a model of your battery along with the battery's temperature, voltage and the current measured by the PMIC. The estimation algorithm can then be run on any Arm Cortex M4 or M33, like those found in the nRF52, nRF53 and nRF91 Series and does not require additional hardware beyond this.
The battery model is created by doing an analysis of your specific battery, in your own lab, using the nPM1300 or nPM1304 Evaluation Kit.
Learn how to profile batteries from the comfort of your own lab:
Fuel Gauging Webinar
nPM PowerUP walktrough Webinar
nPM PowerUP, part 1: Evaluation Kit setup and GUI walkthrough
nPM PowerUP, part 2: Exporting PMIC settings to any Zephyr RTOS application
nPM PowerUP, part 3: Profiling a battery to create a custom battery model
nPM PowerUP, part 4: Integrating fuel gauging in a Zephyr RTOS