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State of the Art of Solid-State Transformers: Advanced Topologies, Implementation Issues, Recent Progress and Improvements.

, , , , , , and . IEEE Access, (2020)

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Jellyfish optimized recurrent neural network for state of health estimation of lithium-ion batteries., , , , and . Expert Syst. Appl., 238 (Part C): 121904 (March 2024)Modeling and Performance Evaluation of ANFIS Controller-Based Bidirectional Power Management Scheme in Plug-In Electric Vehicles Integrated With Electric Grid., , , , , , and . IEEE Access, (2021)Neural Network Approach for Estimating State of Charge of Lithium-Ion Battery Using Backtracking Search Algorithm., , , , and . IEEE Access, (2018)A Comparative Analysis of Lithium Ion Battery Input Profiles for Remaining Useful Life Prediction by Cascade Forward Neural Network., , , , and . AIIoT, page 181-186. IEEE, (2021)Extreme Learning Machine for SOC Estimation of Lithium-ion battery Using Gravitational Search Algorithm., , , , , and . IAS, page 1-8. IEEE, (2018)SOC Estimation using Deep Bidirectional Gated Recurrent Units with Tree Parzen Estimator Hyperparameter Optimization., , , , , , and . IAS, page 1-8. IEEE, (2021)State-of-Charge Estimation of Li-ion Battery at Variable Ambient Temperature with Gated Recurrent Unit Network., , , , , and . IAS, page 1-8. IEEE, (2020)Lithium-ion Battery State of Charge Estimation Method Using Optimized Deep Recurrent Neural Network Algorithm., , , , , and . IAS, page 1-9. IEEE, (2019)State of Charge Estimation for Lithium-Ion Battery Using Recurrent NARX Neural Network Model Based Lighting Search Algorithm., , , , , and . IEEE Access, (2018)State of Charge Estimation for Lithium-Ion Batteries Using Model-Based and Data-Driven Methods: A Review., , , and . IEEE Access, (2019)