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A Fast Balance Optimization Approach for Charging Enhancement of Lithium-Ion

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State of charge estimation of lithium‐ion battery based on extended Kalman filter and unscented Kalman filter techniques
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Enabling Safety-Enhanced fast charging of electric vehicles via soft actor Critic-Lagrange DRL algorithm in a Cyber-Physical system
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Twin delayed deep deterministic policy gradient-based deep reinforcement learning for energy management of fuel cell vehicle integrating durability information of powertrain
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A fast active balancing strategy based on model predictive control for lithium-ion battery packs
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Machine learning-based fast charging of lithium-ion battery by perceiving and regulating internal microscopic states
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Effect of integrating the hysteresis component to the equivalent circuit model of Lithium-ion battery for dynamic and non-dynamic applications
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Deep reinforcement learning-based energy management of hybrid battery systems in electric vehicles
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Active cell voltage balancing of Electric vehicle batteries by using an optimized switched capacitor strategy
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Adaptive estimation-based hierarchical model predictive control methodology for battery active equalization topologies: Part I–Balancing strategy
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A model based balancing system for battery energy storage systems
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A switchable indicator for active balance of the lithium-ion battery pack using a bypass equalizer
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A multi-winding transformer-based active cell equalizer with self-driven switches for series-connected lithium-ion batteries and super-capacitors
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State of Charge Estimation for Lithium Ion Battery Based on Reinforcement Learning
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Nonlinear extension of battery constrained predictive charging control with transmission of Jacobian matrix
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Study of the charging process of a LiCoO2-based Li-ion battery
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A lumped-parameter electro-thermal model for cylindrical batteries
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An active equalization method for redundant battery based on deep reinforcement learning
inferredcites →https://doi.org/10.1016/j.segan.2022.100620openalex-extracted
Intelligent charging planning for electric vehicle commercial parking lots and its impact on distribution network’s imbalance indices
inferredcites →https://doi.org/10.1016/j.segan.2022.100662openalex-extracted
Multi-stage planning of fast charging stations for PEVs using traffic-based approach
inferredcites →https://doi.org/10.1016/j.segan.2022.100795openalex-extracted
Distributed reinforcement learning energy management approach in multiple residential energy hubs
inferredcites →https://doi.org/10.1016/j.segan.2022.100919openalex-extracted
Data-driven sustainable distributed energy resources’ control based on multi-agent deep reinforcement learning
inferredcites →https://doi.org/10.1016/j.segan.2022.100962openalex-extracted
An enhanced fuzzy decision making approach for the assessment of sustainable energy storage systems
inferredcites →https://doi.org/10.1016/j.segan.2023.101112openalex-extracted
Ultra-fast charging of electric vehicles: A review of power electronics converter, grid stability and optimal battery consideration in multi-energy systems
inferredcites →https://doi.org/10.1080/03772063.2021.1886604openalex-extracted
Optimized Passive Cell Balancing for Fast Charging in Electric Vehicle
inferredcites →https://doi.org/10.1109/access.2021.3068776openalex-extracted
Lithium-Ion Battery Pack Robust State of Charge Estimation, Cell Inconsistency, and Balancing: Review
inferredcites →https://doi.org/10.1109/access.2021.3115255openalex-extracted
Machine Learning-Based Optimal Cell Balancing Mechanism for Electric Vehicle Battery Management System
inferredcites →https://doi.org/10.1109/apec39645.2020.9124431openalex-extracted
Lithium-Ion Battery Charging Control Using a Coupled Electro-Thermal Model and Model Predictive Control
inferredcites →https://doi.org/10.1109/ecce47101.2021.9595601openalex-extracted
Cell Balancing of Li-ion Battery Pack with Adaptive Generalised Extended State Observers for Electric Vehicle Applications
inferredcites →https://doi.org/10.1109/esars-itec57127.2023.10114861openalex-extracted
An Integrated Approach to Lithium-Ion Battery Cell Management through Accurate Voltage Measurement and Cell Balancing
inferredcites →https://doi.org/10.1109/greentech56823.2023.10173832openalex-extracted
State-of-Charge (SoC) Balancing of Battery Modular Multilevel Management (BM3) Converter using Q-Learning
inferredcites →https://doi.org/10.1109/iccep.2013.6586973openalex-extracted
Passive balancing design for Li-ion battery packs based on single cell experimental tests for a CCCV charging mode
inferredcites →https://doi.org/10.1109/isse51996.2021.9467557openalex-extracted
Balancing and SOC Estimation in a Battery Management System for Electric Vehicle
inferredcites →https://doi.org/10.1109/tcst.2012.2217143openalex-extracted
Online Parameterization of Lumped Thermal Dynamics in Cylindrical Lithium Ion Batteries for Core Temperature Estimation and Health Monitoring
inferredcites →https://doi.org/10.1109/tcst.2022.3161764openalex-extracted
Optimal Control of Active Cell Balancing: Extending the Range and Useful Lifetime of a Battery Pack
inferredcites →https://doi.org/10.1109/tcst.2022.3215610openalex-extracted
Extending Life of Lithium-Ion Battery Systems by Embracing Heterogeneities via an Optimal Control-Based Active Balancing Strategy
inferredcites →https://doi.org/10.1109/tie.2021.3070514openalex-extracted
Deep Deterministic Policy Gradient-DRL Enabled Multiphysics-Constrained Fast Charging of Lithium-Ion Battery
inferredcites →https://doi.org/10.1109/tie.2022.3142406openalex-extracted
An Adaptive Control Framework for Dynamically Reconfigurable Battery Systems Based on Deep Reinforcement Learning
inferredcites →https://doi.org/10.1109/tie.2023.3274853openalex-extracted
Balancing Awareness Fast Charging Control for Lithium-Ion Battery Pack Using Deep Reinforcement Learning
inferredcites →https://doi.org/10.1109/tii.2020.3014599openalex-extracted
Battery Thermal- and Health-Constrained Energy Management for Hybrid Electric Bus Based on Soft Actor-Critic DRL Algorithm
inferredcites →https://doi.org/10.1109/tii.2022.3188361openalex-extracted
Evaluation of Cell Inconsistency in Lithium-Ion Battery Pack Using the Autoencoder Network Model
inferredcites →https://doi.org/10.1109/tte.2022.3140316openalex-extracted
A Deep Reinforcement Learning Framework for Fast Charging of Li-Ion Batteries
inferredcites →https://doi.org/10.1109/tte.2022.3186151openalex-extracted
Improving Aging Identifiability of Lithium-Ion Batteries Using Deep Reinforcement Learning
inferredcites →https://doi.org/10.15607/rss.2019.xv.011openalex-extracted
Learning to Walk Via Deep Reinforcement Learning
inferredcites →https://doi.org/10.2139/ssrn.4407686openalex-extracted
inferredcites →https://doi.org/10.3390/a15110393openalex-extracted
Lithium-Ion Battery Prognostics through Reinforcement Learning Based on Entropy Measures
inferredcites →https://doi.org/10.3390/en14051361openalex-extracted
Learning to Calibrate Battery Models in Real-Time with Deep Reinforcement Learning
inferredcites →https://doi.org/10.3390/en14144279openalex-extracted
A Consensus Algorithm for Multi-Objective Battery Balancing
inferredcites →https://doi.org/10.3390/en16010074openalex-extracted
Multi-Objective Energy Management Strategy for Hybrid Electric Vehicles Based on TD3 with Non-Parametric Reward Function
inferredcites →https://doi.org/10.48550/arxiv.1801.01290openalex-extracted
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
inferredcites →https://doi.org/10.48550/arxiv.2203.04226openalex-extracted
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