Multidimensional Lithium-Ion Battery Status Monitoring

Multidimensional Lithium-Ion Battery Status Monitoring

Stroe, Daniel-Ioan; Fernandez, Carlos; Liu, Kailong; Wang, Shunli; Wang, Yujie; Guerrero, Josep M

Taylor & Francis Ltd

10/2024

338

Mole

9781032367903

15 a 20 dias

Descrição não disponível.
1. Battery Characteristics and Parameters. 2. Equivalent Modeling and Parameter Identification. 3. Battery State of Charge Estimation. 4. Battery State of Health Estimation. 5. Battery State of Power Estimation. 6. Battery State of Energy and Cycle Life Estimation.
Lithium Ion Batteries;RUL Prediction;EV;Internal Resistance;Cutoff Voltage;PF Algorithm;OCV;UKF Algorithm;Multiple Linear Regression;Peak Ii;PCR;Energy Density;Lithium Iron Phosphate;EKF Algorithm;Remaining Life Prediction;Residual Life Prediction;Thevenin Model;Power Errors;Support Vector Regression Machine Model;BP Neural Network;Negative Electrode;Error Covariance;RBF Neural Network;State Space Expression;Pooling Layer