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State-of-health estimation of Li-ion batteries in the early phases of qualification tests: An interpretable machine learning approach

Gyumin Lee, Juram Kim, Chang‐Yong Lee

2022Expert Systems with Applications73 citationsDOI

Topics & Concepts

Computer scienceBattery (electricity)State of healthMean squared errorReliability engineeringReliability (semiconductor)Mean absolute percentage errorMachine learningArtificial intelligenceStatisticsArtificial neural networkMathematicsEngineeringPower (physics)Quantum mechanicsPhysicsAdvanced Battery Technologies ResearchReliability and Maintenance OptimizationElectric Vehicles and Infrastructure
State-of-health estimation of Li-ion batteries in the early phases of qualification tests: An interpretable machine learning approach | Litcius