Chunmei Yu

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 .

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.

Adaptive finite‐time attitude stabilization for rigid spacecraft with actuator faults and saturation constraints

Yuanqing Xia, Kunfeng Lu, Mengyin Fu, 2016 .

Lithium-ion battery characteristics and applications

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

Dynamic sliding mode-based attitude stabilisation control of satellites with angular velocity and control constraints

Chunmei Yu, Chunmei Yu, Xu-Hui Xie, 2019, Trans. Inst. Meas. Control.

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.

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..

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 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.

Study of hysteresis voltage state dependence in lithium-ion battery and a novel asymmetric hysteresis modeling

Pengfei Yu, Shunli Wang, Chunmei Yu, 2022, Journal of Energy Storage.

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 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 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.

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 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.

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..

Joint estimation of the state-of-energy and state-of-charge of lithium-ion batteries under a wide temperature range based on the fusion modeling and online parameter prediction

Shunli Wang, Chunmei Yu, Yanxin Xie, 2022, Journal of Energy Storage.

Finite-Time Tracking Control of Rigid Spacecraft Under Actuator Saturations and Faults

Yuanqing Xia, Hailiang Liu, Kunfeng Lu, 2018, IEEE Transactions on Automation Science and Engineering.

Finite-time intercept-angle guidance

Yuanqing Xia, Kunfeng Lu, ChunMei Yu, 2015, Int. J. Control.

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.

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 novel fuzzy adaptive cubature Kalman filtering method for the state of charge and state of energy co-estimation of lithium-ion batteries

Shunli Wang, Chunmei Yu, Siyu Jin, 2022, Electrochimica Acta.

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.

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 .

Electrical equivalent circuit modeling

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

Electrochemical Nernst modeling

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

Battery state-of-energy prediction methods

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

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.

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.

Battery state-of-charge estimation methods

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

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.

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.

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 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.

Modeling and experimental evaluation of vibration reduction of hydraulic-driven joint with a MRF damper

Chunmei Yu, Shumei Chen, Hui Huang, 2023 .

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.

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.