Li Zhang

Orcid: 0000-0002-9128-7240

Affiliations:
  • Shanghai University, School of Mechatronic Engineering and Automation, Shanghai Key Laboratory of Power Station Automation Technology, China


According to our database1, Li Zhang authored at least 9 papers between 2017 and 2025.

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

Timeline

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Links

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Bibliography

2025
Extreme learning machine-radial basis function neural network-based state-of-charge estimation of lithium-ion batteries assisted with fiber Bragg grating sensor measurements.
Trans. Inst. Meas. Control, 2025

Recent progresses in state estimation of lithium-ion battery energy storage systems: A review.
Trans. Inst. Meas. Control, 2025

Fast battery capacity estimation using convolutional neural networks.
Trans. Inst. Meas. Control, 2025

2023
A regularised fast recursive algorithm for fraction model identification of nonlinear dynamic systems.
Int. J. Syst. Sci., May, 2023

2020
State-of-Charge Estimation of Lithium-Ion Battery Pack Based on Improved RBF Neural Networks.
Complex., 2020

A Sparse Learning Machine for Real-Time SOC Estimation of Li-ion Batteries.
IEEE Access, 2020

2018
Compact Neural Modeling of Single Flow Zinc-Nickel Batteries Based on Jaya Optimization.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

A Novel Binary Jaya Optimization for Economic/Emission Unit Commitment.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
State-of-Charge Estimation of Lithium Batteries Using Compact RBF Networks and AUKF.
Proceedings of the Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration, 2017


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