Battery-Gauging Algorithm Boosts Accuracy and Avoids Unexpected Shutdowns (Download)
Portable and mobile products require sophisticated battery-management circuitry to extend battery life and avoid unexpected shutdowns. A key battery-management component is the battery gauge, which uses voltage and current measurements to calculate such essential parameters as state of health (SOH), remaining battery capacity, and state of charge (SOC), or conversely, the depth (or degree) of discharge (DoD).
Traditional battery gauges model a battery as a simple low-frequency RC network, which is sufficient to make highly accurate SOC estimations for slowly varying loads. However, a slew of emerging artificial-intelligence (AI)-enabled products as well as established products like drones, power tools, robots, and e-bikes can experience rapid fluctuations in load currents that complicate predictions of remaining battery life.