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Accurate Fuel Gauging Without Battery Characterization Using Modelgauge m5 EZ Algorithm

Discover how the ModelGauge m5 EZ algorithm delivers accurate battery state-of-charge measurement across diverse Li-ion chemistries — without requiring upfront battery characterization.


June 01, 2026 by Analog Devices
Topics Covered
Working Principal of ModelGauge m5 EZ Algorithm
Measurement and Simulation Results
ModelGauge m5 EZ Error vs. Custom-Tuned Model
Silicon Implementation
Helpful References

Application Note Overview 

Accurate fuel gauging in battery-powered devices is essential for user experience and system reliability, but traditional approaches require extensive upfront battery characterization — a time-consuming process that must be repeated for every new battery chemistry, form factor, or cell supplier. As the diversity of lithium-ion cell chemistries and configurations continues to expand, this characterization burden has become a significant design and supply chain challenge.

The ModelGauge™ m5 EZ algorithm from Analog Devices takes a fundamentally different approach. By leveraging an adaptive fuel-gauging methodology, it delivers accurate state-of-charge estimation across a wide range of battery chemistries, capacities, and charge voltages without requiring the traditional characterization step. This application note explains the technical basis for this approach, how it handles the impedance variation that makes conventional fuel gauging chemistry-dependent, and how it performs across real-world battery configurations.

Engineers designing portable devices, communications equipment, wearables, or other battery-powered systems can use this resource to reduce design cycle time and improve fuel gauge accuracy across their product portfolio. Download now to learn how ModelGauge m5 EZ simplifies fuel gauging implementation without sacrificing accuracy.

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