Dong Zhang

Orcid: 0000-0002-7945-2100

Affiliations:
  • University of Oklahoma, Norman, OK, USA
  • Carnegie Mellon University, Pittsburgh, PA, USA
  • University of California at Berkeley, Berkeley, CA, USA (Ph.D., 2020)


According to our database1, Dong Zhang authored at least 24 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
On Electrochemical Model-Based State Estimation for Lithium-Sulfur Batteries.
IEEE Trans. Control. Syst. Technol., May, 2024

Safety-Driven Battery Charging: A Fisher Information-guided Adaptive MPC with Real-time Parameter Identification.
CoRR, 2024

Physics-Informed Neural Networks for Discovering Systems with Unmeasurable States with Application to Lithium-Ion Batteries.
Proceedings of the American Control Conference, 2024

Deep-MPC: A DAGGER-Driven Imitation Learning Strategy for Optimal Constrained Battery Charging.
Proceedings of the American Control Conference, 2024

2023
Physics-Informed Neural Network for Discovering Systems with Unmeasurable States with Application to Lithium-Ion Batteries.
CoRR, 2023

2022
Co-Estimation of State-of-Charge and State-of- Health for Lithium-Ion Batteries Using an Enhanced Electrochemical Model.
IEEE Trans. Ind. Electron., 2022

Thermal-Enhanced Adaptive Interval Estimation in Battery Packs With Heterogeneous Cells.
IEEE Trans. Control. Syst. Technol., 2022

Resolving Kirchhoff's Laws for Parallel Li-Ion Battery Pack State-Estimators.
IEEE Trans. Control. Syst. Technol., 2022

Faster and Healthier Charging of Lithium-Ion Batteries via Constrained Feedback Control.
IEEE Trans. Control. Syst. Technol., 2022

State-Of-Health Estimation Pipeline for Li-ion Battery Packs with Heterogeneous Cells.
Proceedings of the American Control Conference, 2022

Pack Level State-of-Power Prediction for Heterogeneous Cells<sup>*</sup>.
Proceedings of the American Control Conference, 2022

Identifiability of Lithium-Ion Battery Electrolyte Dynamics.
Proceedings of the American Control Conference, 2022

2021
Electrode-Level State Estimation in Lithium-Ion Batteries via Kalman Decomposition.
IEEE Control. Syst. Lett., 2021

Battery internal temperature estimation via a semilinear thermal PDE model.
Autom., 2021

PDE Observer for All-Solid-State Batteries via an Electrochemical Model.
Proceedings of the IEEE Conference on Control Technology and Applications, 2021

Estimation of Cyclable Lithium for Li-ion Battery State-of-Health Monitoring.
Proceedings of the 2021 American Control Conference, 2021

State Estimation for a Zero-Dimensional Electrochemical Model of Lithium-Sulfur Batteries.
Proceedings of the 2021 American Control Conference, 2021

2020
Real-Time Capacity Estimation of Lithium-Ion Batteries Utilizing Thermal Dynamics.
IEEE Trans. Control. Syst. Technol., 2020

Battery Adaptive Observer for a Single-Particle Model With Intercalation-Induced Stress.
IEEE Trans. Control. Syst. Technol., 2020

Interval Observer for SOC Estimation in Parallel-Connected Lithium-ion Batteries.
Proceedings of the 2020 American Control Conference, 2020

State of Charge Estimation of Parallel Connected Battery Cells via Descriptor System Theory.
Proceedings of the 2020 American Control Conference, 2020

2018
Lithium-Ion Battery State Estimation for a Single Particle Model with Intercalation-Induced Stress.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Remaining useful life estimation of Lithium-ion batteries based on thermal dynamics.
Proceedings of the 2017 American Control Conference, 2017

Hybrid electrochemical modeling with recurrent neural networks for li-ion batteries.
Proceedings of the 2017 American Control Conference, 2017


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