C. Fernandez

发表

An Accurate Time Constant Parameter Determination Method for the Varying Condition Equivalent Circuit Model of Lithium Batteries

D. Stroe, Shunli Wang, Liang Zhang, 2020 .

The parameter identification method study of the splice equivalent circuit model for the aerial lithium-ion battery pack

Jie Su, Shunli Wang, C. Fernandez, 2018 .

A novel collaborative multiscale weighting factor‐adaptive Kalman filtering method for the time‐varying whole‐life‐cycle state of charge estimation of lithium‐ion batteries

D. Stroe, Shunli Wang, C. Fernandez, 2022, International Journal of Energy Research.

Lithium-ion battery characteristics and applications

D. Stroe, Shunli Wang, C. Fernandez, 2021, Battery System Modeling.

A novel combined estimation method of online full‐parameter identification and adaptive unscented particle filter for Li‐ion batteries SOC based on fractional‐order modeling

Hong Jiang, Shunli Wang, C. Fernandez, 2021, International Journal of Energy Research.

A novel state of charge estimation method of lithium‐ion batteries based on the IWOA‐AdaBoost‐Elman algorithm

Shunli Wang, Chuanyun Zou, C. Fernandez, 2021, International Journal of Energy Research.

An adaptive fractional-order unscented Kalman filter for Li-ion batteries in the energy storage system

Hao Jiang, C. Fernandez, W. Shunli, 2022, Indian Journal of Physics.

Improved gray wolf particle filtering and high‐fidelity second‐order autoregressive equivalent modeling for intelligent state of charge prediction of lithium‐ion batteries

Shunli Wang, C. Fernandez, Chunmei Yu, 2021, International Journal of Energy Research.

A Critical Review of Online Battery Remaining Useful Lifetime Prediction Methods

Shunli Wang, C. Fernandez, Siyu Jin, 2021, Frontiers in Mechanical Engineering.

Fuzzy adaptive singular value decomposition cubature Kalman filtering algorithm for lithium‐ion battery state‐of‐charge estimation

Shunli Wang, C. Fernandez, Chunmei Yu, 2021, Int. J. Circuit Theory Appl..

A Novel Autoregressive Rainflow—Integrated Moving Average Modeling Method for the Accurate State of Health Prediction of Lithium-Ion Batteries

Shunli Wang, C. Fernandez, Wenhua Xu, 2021, Processes.

Improved covariance matching—electrical equivalent modeling for accurate internal state characterization of packing lithium‐ion batteries

D. Stroe, Shunli Wang, C. Fernandez, 2021, International Journal of Energy Research.

A novel feedback correction-adaptive Kalman filtering method for the whole-life-cycle state of charge and closed-circuit voltage prediction of lithium-ion batteries based on the second-order electrical equivalent circuit model

D. Stroe, Shunli Wang, C. Fernandez, 2022, International Journal of Electrical Power & Energy Systems.

A novel streamlined particle‐unscented Kalman filtering method for the available energy prediction of lithium‐ion batteries considering the time‐varying temperature‐current influence

Shunli Wang, Liang Zhang, Chuanyun Zou, 2021, International Journal of Energy Research.

A novel adaptive dual extended Kalman filtering algorithm for the Li‐ion battery state of charge and state of health co‐estimation

Cong Jiang, Shunli Wang, C. Fernandez, 2021, International Journal of Energy Research.

Battery hysteresis compensation modeling and state‐of‐charge estimation adaptive to time‐varying ambient temperature conditions

Shunli Wang, C. Fernandez, Wenhua Xu, 2022, International Journal of Energy Research.

A strong tracking adaptive fading‐extended Kalman filter for the state of charge estimation of lithium‐ion batteries

Shunli Wang, C. Fernandez, Etse Bobobee, 2022, International Journal of Energy Research.

Improved multi-time scale lumped thermoelectric coupling modeling and parameter dispersion evaluation of lithium-ion batteries

Shunli Wang, C. Fernandez, Chunmei Yu, 2022, Applied Energy.

An optimized relevant long short-term memory-squared gain extended Kalman filter for the state of charge estimation of lithium-ion batteries

Shunli Wang, C. Fernandez, Huan Li, 2022, Energy.

ANALYSIS AND OPTIMIZATION OF A TUBULAR SOFC, USING NUCLEAR HYDROGEN AS FUEL

C. Fernandez, C. D. O. Lira, D. Rodríguez, 2013 .

A novel equivalent modeling method combined with the splice‐electrochemical polarization model and prior generalized inverse least‐square parameter identification for UAV lithium‐ion batteries

Shunli Wang, C. Fernandez, Xin Xiong, 2022, Energy Science & Engineering.

Correlation among physical and electrochemical behaviour of nanostructured electrolytic manganese dioxide from leach liquor and synthetic for aqueous asymmetric capacitor.

D. Mitchell, Avijit Biswal, Robert T. Jones, 2016, Physical chemistry chemical physics : PCCP.

A Novel Multiple Training-Scale Dynamic Adaptive Cuckoo Search Optimized Long Short-Term Memory Neural Network and Multi-Dimensional Health Indicators Acquisition Strategy for Whole Life Cycle Health Evaluation of Lithium-Ion Batteries

D. Stroe, Shunli Wang, C. Fernandez, 2022, SSRN Electronic Journal.

An improved feedforward-long short-term memory modeling method for the whole-life-cycle state of charge prediction of lithium-ion batteries considering current-voltage-temperature variation

D. Stroe, Shunli Wang, C. Fernandez, 2022, Energy.

An improved forgetting factor recursive least square and unscented particle filtering algorithm for accurate lithium-ion battery state of charge estimation

Shunli Wang, C. Fernandez, Yanxin Xie, 2023, Journal of Energy Storage.

A Critical Review of Improved Deep Convolutional Neural Network for Multi-Timescale State Prediction of Lithium-Ion Batteries

Shunli Wang, C. Fernandez, Siyu Jin, 2022, Energies.

A state-of-charge estimation method of the power lithium-ion battery in complex conditions based on adaptive square root extended Kalman filter

Bin Wu, Xin Xiong, Cong Jiang, 2020 .

Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries

Shunli Wang, C. Fernandez, Yongcun Fan, 2023, Reliab. Eng. Syst. Saf..

An adaptive working state iterative calculation method of the power battery by using the improved Kalman filtering algorithm and considering the relaxation effect

Shun-Li Wang, Carlos Fernandez, Wen Cao, 2019, Journal of Power Sources.

Novel Improved Particle Swarm Optimization-Extreme Learning Machine Algorithm for State of Charge Estimation of Lithium-Ion Batteries

Chuyan Zhang, Shunli Wang, C. Fernandez, 2022, Industrial & Engineering Chemistry Research.

Battery system active control strategies

Daniel-Ioan Stroe, Shunli Wang, Carlos Fernandez, 2021, Battery System Modeling.

A novel practical state of charge estimation method: an adaptive improved ampere‐hour method based on composite correction factor

Chuan-Yun Zou, Xin Xiong, Cong Jiang, 2020, International Journal of Energy Research.

An improved Variable Forgetting Factor Recursive Least Square-Double Extend Kalman Filtering based on global mean particle swarm optimization algorithm for collaborative state of energy and state of health estimation of lithium-ion batteries

Shunli Wang, C. Fernandez, Wen Cao, 2023, Electrochimica Acta.

Improved Particle Swarm Optimization-Extreme Learning Machine Modeling Strategies for the Accurate Lithium-ion Battery State of Health Estimation and High-adaptability Remaining Useful Life Prediction

Chuyan Zhang, Shunli Wang, C. Fernandez, 2022, Journal of The Electrochemical Society.

A hybrid probabilistic correction model for the state of charge estimation of lithium-ion batteries considering dynamic currents and temperatures

Shunli Wang, C. Fernandez, Paul Takyi‐Aninakwa, 2023, Energy.

A critical review of improved deep learning methods for the remaining useful life prediction of lithium-ion batteries

Shunli Wang, Carlos Fernandez, Dekui Bai, 2021, Energy Reports.

A novel combined estimation method for state of energy and predicted maximum available energy based on fractional-order modeling

Hong Jiang, Shunli Wang, C. Fernandez, 2023, Journal of Energy Storage.

A novel safety assurance method based on the compound equivalent modeling and iterate reduce particle‐adaptive Kalman filtering for the unmanned aerial vehicle lithium ion batteries

Wei Xie, Yongcun Fan, Shunli Wang, 2020, Energy Science & Engineering.

A novel adaptive state of charge estimation method of full life cycling lithium‐ion batteries based on the multiple parameter optimization

Wen Cao, Shun-Li Wang, Chuan-Yun Zou, 2019, Energy Science & Engineering.

A novel charged state prediction method of the lithium ion battery packs based on the composite equivalent modeling and improved splice Kalman filtering algorithm

Daniel-Ioan Stroe, Yongcun Fan, Wen Cao, 2020, Journal of Power Sources.

Incremental Capacity Curve Health-Indicator Extraction Based on Gaussian Filter and Improved Relevance Vector Machine for Lithium–Ion Battery Remaining Useful Life Estimation

Shunli Wang, C. Fernandez, Yongcun Fan, 2022, Metals.

An Improved Weighting Coefficient Optimization-Particle Filtering Algorithm Based on Gaussian Degradation Model for Remaining Useful Life Prediction of Lithium-ion Batteries

Shunli Wang, C. Fernandez, Jialu Qiao, 2022, Journal of The Electrochemical Society.

On-line adaptive asynchronous parameter identification of lumped electrical characteristic model for vehicle lithium-ion battery considering multi-time scale effects

Shunli Wang, C. Fernandez, Yongchao Zhang, 2022, Journal of Power Sources.

Collaborative state estimation of lithium‐ion battery based on multi‐time scale low‐pass filter forgetting factor recursive least squares ‐ double extended Kalman filtering algorithm

Shunli Wang, C. Fernandez, Wen Cao, 2022, Int. J. Circuit Theory Appl..

A novel bias compensation recursive least square‐multiple weighted dual extended Kalman filtering method for accurate state‐of‐charge and state‐of‐health co‐estimation of lithium‐ion batteries

Shunli Wang, Carlos Fernandez, Chunmei Yu, 2021, Int. J. Circuit Theory Appl..

A novel lumped thermal characteristic modeling strategy for the online adaptive temperature and parameter co-estimation of vehicle lithium-ion batteries

Shunli Wang, C. Fernandez, Xin Xiong, 2022, Journal of Energy Storage.

Review—Optimized Particle Filtering Strategies for High-Accuracy State of Charge Estimation of LIBs

D. Stroe, Shunli Wang, C. Fernandez, 2023, Journal of The Electrochemical Society.

An improved long short‐term memory based on global optimization square root extended Kalman smoothing algorithm for collaborative state of charge and state of energy estimation of lithium‐ion batteries

F. Wu, Shunli Wang, C. Fernandez, 2023, Int. J. Circuit Theory Appl..

Improved Compound Correction‐Electrical Equivalent Circuit Modeling and Double Transform‐Unscented Kalman Filtering for the High‐Accuracy Closed‐Circuit voltage and State‐of‐Charge Co‐Estimation of Whole‐Life‐Cycle Lithium‐Ion batteries

Shunli Wang, C. Fernandez, Chunmei Yu, 2022, Energy Technology.

Research on the state of charge estimation method of lithium‐ion batteries based on novel limited memory multi‐innovation least squares method and SDE‐2‐RC equivalent model

Shunli Wang, C. Fernandez, Yanxin Xie, 2022, Int. J. Circuit Theory Appl..

A novel nonlinear decreasing step-bacterial foraging optimization algorithm and simulated annealing-back propagation model for long-term battery state of health estimation

Jun Jia, Shunli Wang, C. Fernandez, 2023, Journal of Energy Storage.

A chaotic firefly - Particle filtering method of dynamic migration modeling for the state-of-charge and state-of-health co-estimation of a lithium-ion battery performance

Shunli Wang, C. Fernandez, Chunmei Yu, 2022, Energy.

Battery state estimation methods

Daniel-Ioan Stroe, Shunli Wang, Carlos Fernandez, 2021, Battery System Modeling.

Battery state-of-health estimation methods

Daniel-Ioan Stroe, Shunli Wang, Carlos Fernandez, 2021, Battery System Modeling.

Enhanced multi-state estimation methods for lithium-ion batteries considering temperature uncertainties

Shunli Wang, C. Fernandez, Paul Takyi‐Aninakwa, 2023, Journal of Energy Storage.

Improved lumped electrical characteristic modeling and adaptive forgetting factor recursive least squares-linearized particle swarm optimization full-parameter identification strategy for lithium-ion batteries considering the hysteresis component effect

Gexiang Zhang, Shunli Wang, C. Fernandez, 2023, Journal of Energy Storage.

Open circuit voltage and state of charge relationship functional optimization for the working state monitoring of the aerial lithium-ion battery pack

Shun-Li Wang, Chuan-Yun Zou, Chun-Mei Yu, 2018, Journal of Cleaner Production.

Adaptive State-of-Charge Estimation Method for an Aeronautical Lithium-ion Battery Pack Based on a Reduced Particle-unscented Kalman Filter

Shun-Li Wang, Chun-Mei Yu, Carlos Fernandez, 2018 .

An integrated online adaptive state of charge estimation approach of high-power lithium-ion battery packs

Zhanfeng Li, Liping Shang, Huifang Yuan, 2018, Trans. Inst. Meas. Control.

Online state of charge estimation for the aerial lithium-ion battery packs based on the improved extended Kalman filter method

Zhanfeng Li, Liping Shang, Jianchao Li, 2017 .

An ASTSEKF optimizer with nonlinear condition adaptability for accurate SOC estimation of lithium-ion batteries

X. Yang, Shunli Wang, C. Fernandez, 2023, Journal of Energy Storage.

A NARX network optimized with an adaptive weighted square-root cubature Kalman filter for the dynamic state of charge estimation of lithium-ion batteries

Shunli Wang, C. Fernandez, Paul Takyi‐Aninakwa, 2023, Journal of Energy Storage.

An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries

Shunli Wang, C. Fernandez, Iraj Habibi, 2022, Applied Energy.

A novel adaptive H‐infinity filtering method for the accurate SOC estimation of lithium‐ion batteries based on optimal forgetting factor selection

Shunli Wang, C. Fernandez, Yanxin Xie, 2022, Int. J. Circuit Theory Appl..

A Novel Gaussian Particle Swarms optimized Particle Filter Algorithm for the State of Charge Estimation of Lithium-ion Batteries

Yicong Zhou, Shunli Wang, C. Fernandez, 2020, International Journal of Electrochemical Science.

An improved particle swarm optimization-least squares support vector machine-unscented Kalman filtering algorithm on SOC estimation of lithium-ion battery

Shunli Wang, C. Fernandez, Yanxin Xie, 2023, International Journal of Green Energy.

Electrical equivalent circuit modeling

D. Stroe, Shunli Wang, C. Fernandez, 2021, Battery System Modeling.

Improved singular filtering-Gaussian process regression-long short-term memory model for whole-life-cycle remaining capacity estimation of lithium-ion batteries adaptive to fast aging and multi-current variations

Qi Huang, D. Stroe, Shunli Wang, 2023, Energy.

Electrochemical Nernst modeling

D. Stroe, Shunli Wang, C. Fernandez, 2021, Battery System Modeling.

A novel safety anticipation estimation method for the aerial lithium-ion battery pack based on the real-time detection and filtering

Lu Wang, Mingjie Chen, Shun-Li Wang, 2018, Journal of Cleaner Production.

Multi-time scale identification of key kinetic processes for lithium-ion batteries considering variable characteristic frequency

Shunli Wang, C. Fernandez, Jianhong Liang, 2023, Journal of Energy Chemistry.

Optimized multi-hidden layer long short-term memory modeling and suboptimal fading extended Kalman filtering strategies for the synthetic state of charge estimation of lithium-ion batteries

F. Blaabjerg, Gexiang Zhang, Shunli Wang, 2023, Applied Energy.

Improved noise bias compensation-equivalent circuit modeling strategy for battery state of charge estimation adaptive to strong electromagnetic interference

X. Yang, Shunli Wang, C. Fernandez, 2023, Journal of Energy Storage.

High-precision joint estimation of the state of charge and state of energy for new energy electric vehicle lithium-ion batteries based on improved singular value decomposition-adaptive embedded cubature Kalman filtering

Shunli Wang, C. Fernandez, Yanxin Xie, 2023, Journal of Solid State Electrochemistry.

An Improved Compression Factor Particle Swarm Optimization-Unscented Particle Filter Algorithm for Accurate Lithium-Ion Battery State of Energy Estimation

Shunli Wang, C. Fernandez, Yongcun Fan, 2023, Journal of The Electrochemical Society.

Battery state-of-energy prediction methods

Daniel-Ioan Stroe, Shunli Wang, Carlos Fernandez, 2021, Battery System Modeling.

Hybrid gray wolf optimization method in support vector regression framework for highly precise prediction of remaining useful life of lithium-ion batteries

Shunli Wang, C. Fernandez, Yanxin Xie, 2023, Ionics.

A novel energy management strategy for the ternary lithium batteries based on the dynamic equivalent circuit modeling and differential Kalman filtering under time-varying conditions

Daniel-Ioan Stroe, Chuan-Yun Zou, Chun-Mei Yu, 2020, Journal of Power Sources.

Improved forgetting factor recursive least square and adaptive square root unscented Kalman filtering methods for online model parameter identification and joint estimation of state of charge and state of energy of lithium-ion batteries

Shunli Wang, C. Fernandez, Yongcun Fan, 2023, Ionics.

Novel reduced-order modeling method combined with three-particle nonlinear transform unscented Kalman filtering for the battery state-of-charge estimation

Wenhua Xu, Yongcun Fan, Wen Cao, 2020, Journal of Power Electronics.

A novel weight coefficient calculation method for the real‐time state monitoring of the lithium‐ion battery packs under the complex current variation working conditions

Shun-Li Wang, Chuan-Yun Zou, Qiang Li, 2019, Energy Science & Engineering.

A Novel Adaptive Function—Dual Kalman Filtering Strategy for Online Battery Model Parameters and State of Charge Co-Estimation

Shunli Wang, C. Fernandez, Yongcun Fan, 2021, Energies.

Battery state-of-charge estimation methods

Daniel-Ioan Stroe, Shunli Wang, Carlos Fernandez, 2021, Battery System Modeling.

The battery management system construction method study for the power lithium-ion battery pack

Carlos Fernandez, Shunli Wang, Jianchao Li, 2017, 2017 2nd International Conference on Robotics and Automation Engineering (ICRAE).

A complete ensemble empirical mode decomposition with adaptive noise deep autoregressive recurrent neural network method for the whole life remaining useful life prediction of lithium-ion batteries

Shunli Wang, C. Fernandez, Chunmei Yu, 2023, Ionics.

A hybrid algorithm based on beluga whale optimization-forgetting factor recursive least square and improved particle filter for the state of charge estimation of lithium-ion batteries

Xianfeng Shen, Shunli Wang, C. Fernandez, 2023, Ionics.

Multi-kernel support vector regression optimization model and indirect health factor extraction strategy for the accurate lithium-ion battery remaining useful life prediction

Shunli Wang, C. Fernandez, Jie Cao, 2023, Journal of Solid State Electrochemistry.

Improved fractional‐order hysteresis‐equivalent circuit modeling for the online adaptive high‐precision state of charge prediction of urban‐electric‐bus lithium‐ion batteries

Shunli Wang, C. Fernandez, Wen Cao, 2023, International Journal of Circuit Theory and Applications.

Joint State of Charge and State of Health Estimation of Lithium-ion Battery Using Improved Adaptive Dual Extended Kalman Filter Based on Piecewise Forgetting Factor Recursive Least Squares

Shunli Wang, C. Fernandez, Yanxin Xie, 2022, 2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES).

A novel intelligent weight decreasing firefly–particle filtering method for accurate state‐of‐charge estimation of lithium‐ion batteries

Shunli Wang, C. Fernandez, Chunmei Yu, 2021, International Journal of Energy Research.

Improved splice‐electrochemical circuit polarization modeling and optimized dynamic functional multi‐innovation least square parameter identification for lithium‐ion batteries

Shunli Wang, C. Fernandez, Chunmei Yu, 2021, International Journal of Energy Research.

Online full-parameter identification and SOC estimation of lithium-ion battery pack based on composite electrochemical - dual circuit polarization modeling

Shunli Wang, C. Fernandez, Chunmei Yu, 2021 .

A comprehensive working state monitoring method for power battery packs considering state of balance and aging correction

Zhang Li, Chen Lei, Chuan-Yun Zou, 2019, Energy.

Remaining useful life prediction and state of health diagnosis for lithium-ion batteries based on improved grey wolf optimization algorithm-deep extreme learning machine algorithm

Shunli Wang, C. Fernandez, Yanxin Xie, 2023, Energy.

An improved packing equivalent circuit modeling method with the cell‐to‐cell consistency state evaluation of the internal connected lithium‐ion batteries

Chuan-Yun Zou, Shun-Li Wang, Jian‐You Shi, 2019, Energy Science & Engineering.

A novel endurance prediction method of series connected lithium-ion batteries based on the voltage change rate and iterative calculation

Zhang Xiaoqin, Carlos Fernandez, Chuan-Yun Zou, 2019, Journal of Cleaner Production.

A novel M-1 structured Bidirectional Long Short Term Memory-Rauch Tung Striebel Smoothing algorithm for the joint estimation State of Charge and multi-constrained sustained peak power of lithium-ion batteries

Shunli Wang, C. Fernandez, Yangtao Wang, 2023, Journal of Energy Storage.

A novel power state evaluation method for the lithium battery packs based on the improved external measurable parameter coupling model

Daniel-Ioan Stroe, Yongcun Fan, Wen Cao, 2020 .

A linear recursive state of power estimation method based on fusion model of voltage and state of charge limitations

Shunli Wang, Carlos Fernandez, Chunmei Yu, 2021 .

Adaptive iterative working state prediction based on the double unscented transformation and dynamic functioning for unmanned aerial vehicle lithium-ion batteries

Shunli Wang, Haotian Shi, Chunmei Yu, 2020, Measurement and Control.

A hybrid algorithm for the state of energy estimation of lithium-ion batteries based on improved adaptive-forgotten-factor recursive least squares and particle swarm optimized unscented particle filtering

C. Fernandez, Chunmei Yu, Zehao Li, 2024, Ionics.

Remaining useful life prediction and state of health diagnosis of lithium-ion batteries with multiscale health features based on optimized CatBoost algorithm

C. Fernandez, Yanxin Xie, Yifei Zhou, 2024, Energy.

An improved forgetting factor recursive least square and extended particle filtering algorithm for accurate lithium-ion battery state of energy estimation

C. Fernandez, Chunmei Yu, Zehao Li, 2024, Ionics.

Innovative multiscale fusion – Antinoise extended long short-term memory neural network modeling for high precision state of health estimation of lithium-ion batteries

C. Fernandez, Wen Cao, Shunli Wang, 2024, Energy.