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Deep Learning-Based Predictive Control for the Optimal Charging of a Lithium-Ion Battery with Electrochemical Dynamics.

, , and . CCTA, page 785-790. IEEE, (2022)

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Balancing-Aware Charging Strategy For Series-Connected Lithium-Ion Cells: A Nonlinear Model Predictive Control Approach., , , and . CoRR, (2019)A Neural Network-Based Approximation of Model Predictive Control for a Lithium-Ion Battery with Electro-Thermal Dynamics., , and . ICCA, page 160-165. IEEE, (2022)Optimal Design of Experiment for Parameter Estimation of a Single Particle Model for Lithiumion Batteries., , , , and . CDC, page 6482-6487. IEEE, (2018)Optimal design of experiments for a lithium-ion cell: parameters identification of a single particle model with electrolyte dynamics., , , and . CoRR, (2018)Reinforcement Learning-based Fast Charging Control Strategy for Li-ion Batteries., , , , , , and . CCTA, page 100-107. IEEE, (2020)Optimizing Battery Charging Using Neural Networks in the Presence of Unknown States and Parameters., , and . Sensors, 23 (9): 4404 (2023)Deep Learning-Based Predictive Control for the Optimal Charging of a Lithium-Ion Battery with Electrochemical Dynamics., , and . CCTA, page 785-790. IEEE, (2022)Ecological Velocity Planning through Signalized Intersections: A Deep Reinforcement Learning Approach., , , , , and . CDC, page 245-252. IEEE, (2020)Controlling Bias Between Categorical Attributes in Datasets: A Two-Step Optimization Algorithm Leveraging Structural Equation Modeling., , and . IEEE Access, (2023)Review and Alignment of Domain-Level Ontologies for Materials Science., , , , , , , , , and 1 other author(s). IEEE Access, (2023)