Shunli Wang
Orcid: 0000-0003-0485-8082Affiliations:
- 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 21 papers
between 2018 and 2024.
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Bibliography
2024
High-precision state of charge estimation of lithium-ion batteries based on improved particle swarm optimization-backpropagation neural network-dual extended Kalman filtering.
Int. J. Circuit Theory Appl., March, 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
An enhanced lithium-ion battery state-of-charge estimation method using long short-term memory with an adaptive state update filter incorporating battery parameters.
Eng. Appl. Artif. Intell., 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
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