Shunli Wang

Orcid: 0000-0003-0485-8082

Affiliations:
  • Southwest University of Science and Technology, Mianyang, China
  • Inner Mongolia University of Technology, Hohhot, Inner Mongolia, China


According to our database1, Shunli Wang authored at least 19 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Combing dynamic parameter identification and singular value decomposition adaptive unscented Kalman filter for predictive state of charge of lithium-ion batteries.
J. Intell. Fuzzy Syst., January, 2024

Improved fractional-order hysteresis-equivalent circuit modeling for the online adaptive high-precision state of charge prediction of urban-electric-bus lithium-ion batteries.
Int. J. Circuit Theory Appl., January, 2024

2023
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.
Int. J. Circuit Theory Appl., August, 2023

A Single-Magnetic Bidirectional Integrated Equalizer Using Multi-Winding Transformer and Voltage Multiplier for Hybrid Energy Storage System.
IEEE Trans. Veh. Technol., June, 2023

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.
Int. J. Circuit Theory Appl., April, 2023

Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries.
Reliab. Eng. Syst. Saf., 2023

2022
Fuzzy adaptive singular value decomposition cubature Kalman filtering algorithm for lithium-ion battery state-of-charge estimation.
Int. J. Circuit Theory Appl., 2022

An improved adaptive spherical unscented Kalman filtering method for the accurate state-of-charge estimation of lithium-ion batteries.
Int. J. Circuit Theory Appl., 2022

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.
Int. J. Circuit Theory Appl., 2022

A novel adaptive H-infinity filtering method for the accurate SOC estimation of lithium-ion batteries based on optimal forgetting factor selection.
Int. J. Circuit Theory Appl., 2022

A novel fuzzy-extended Kalman filter-ampere-hour (F-EKF-Ah) algorithm based on improved second-order PNGV model to estimate state of charge of lithium-ion batteries.
Int. J. Circuit Theory Appl., 2022

Digital Predictive Current-Mode Control for Asymmetrical Half-Bridge LED Constant-Current Driver.
IEEE Access, 2022

An Adaptive State of Charge Estimation Method of Lithium-ion Battery Based on Residual Constraint Fading Factor Unscented Kalman Filter.
IEEE Access, 2022

2021
Efficient convolutional neural network with multi-kernel enhancement features for real-time facial expression recognition.
J. Real Time Image Process., 2021

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.
Int. J. Circuit Theory Appl., 2021

Discrete-Time Modeling of High Power Asymmetric Half-Bridge LED Constant-Current Driver Controlled by Digital Current Mode.
IEEE Access, 2021

2020
Detail retaining convolutional neural network for image denoising.
J. Vis. Commun. Image Represent., 2020

High-Precision State of Charge Estimation for the Power Lithium Ion Batteries by Introducing an Improved Extended Kalman Filtering Algorithm with Complex Varying Temperatures.
Proceedings of the 5th International Conference on Advanced Robotics and Mechatronics, 2020

2018
An integrated online adaptive state of charge estimation approach of high-power lithium-ion battery packs.
Trans. Inst. Meas. Control, 2018


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