Publications

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Journals

J1. Real-time Capacity Estimation of Lithium-ion Batteries Utilizing Thermal Dynamics

D. Zhang, S. Dey, H. E. Perez, S. J. Moura

IEEE Transactions on Control Systems Technology

DOI: 10.1109/TCST.2018.2885681

J2. Battery Adaptive Observer for a Single-Particle Model with Intercalation-Induced Stress

D. Zhang, S. Dey, L. D. Couto, S. J. Moura

IEEE Transactions on Control Systems Technology

DOI: 10.1109/TCST.2019.2910797

J3. Electrode-Level State Estimation in Lithium-Ion Batteries via Kalman Decomposition

D. Zhang L. D. Couto, S. J. Moura

IEEE Control Systems Letters

DOI: 10.1109/LCSYS.2020.3042751

J4. Thermal-Enhanced Adaptive Interval Estimation in Battery Packs With Heterogeneous Cells

D. Zhang, L. D Couto, P. S. Gill, S. Benjamin, W. Zeng, S. J. Moura

IEEE Transactions on Control Systems Technology

DOI: 10.1109/TCST.2021.3091108

J5. Battery Internal Temperature Estimation via a Semilinear Thermal PDE Model

D. Zhang, S. Dey, S.-X. Tang, R. Drummond, S. J. Moura

Automatica

DOI: 10.1016/j.automatica.2021.109849

J6. Nonlinear State and Parameter Estimation for Li-ion Batteries with Thermal Coupling

D. Zhang, L. D Couto, S. Park, P. S. Gill, S. J. Moura

IFAC World Congress

DOI: 10.1016/j.ifacol.2020.12.1752

J7. Cell-Level State of Charge Estimation for Battery Packs Under Minimal Sensing

D. Zhang, L. D Couto, R. Drummond, S. Sripad, V. Viswanathan

On arXiv: https://doi.org/10.48550/arXiv.2109.08332 

J8. Beyond Battery State of Charge Estimation: Observer for Electrode-Level State and Cyclable Lithium with Electrolyte Dynamics

D. Zhang, S. Park, L. D Couto, S. J. Moura, V. Viswanathan

IEEE Transactions on Transportation Electrification

DOI: 10.1109/TTE.2022.3191136

J9. Co-estimation of State-of-Charge and State-of-Health for Lithium-ion Batteries Using an Enhanced Electrochemical Model

Y. Gao, K. Liu, C. Zhu, X. Zhang, D. Zhang

IEEE Transactions on Industrial Electronics

DOI: 10.1109/TIE.2021.3066946

J10. Resolving Kirchhoff's Laws for State-Estimator Design of Li-ion Battery Packs Connected in Parallel

R. Drummond, L. D Couto, D. Zhang

IEEE Transactions on Control Systems Technology

DOI: 10.1109/TCST.2021.3134451

J11. Faster and Healthier Charging of Li-Ion Batteries via Constrained Feedback Control

L. D. Couto, R. Romagnoli, S. Park, D. Zhang, S. Moura, M. Kinnaert, E. Garone

IEEE Transactions on Control Systems Technology

DOI: 10.1109/TCST.2021.3135149

J12. Enabling Safety-Enhanced fast charging of electric vehicles via soft actor Critic-Lagrange DRL algorithm in a Cyber-Physical system

X. Yang, H. He, Z. Wei, R. Wang, K. Xu, D. Zhang

Applied Energy

DOI: 10.1016/j.apenergy.2022.120272

J13. Determination of Half-Cell Open-Circuit Potential Curve of Silicon-Graphite in a Physics-based Model for Lithium-ion Batteries

Y. Gao, Z. Sun, D. Zhang, D. Shi, X. Zhang

Applied Energy

DOI: 10.1016/j.apenergy.2023.121621

J14. On Electrochemical Model-Based State Estimation for Lithium–Sulfur Batteries

Z. Huang, L. Couto, C. Dangwal, S. Xiao, W. Lv, D. Zhang, S. Moura

IEEE Transactions on Control Systems Technology

DOI: 10.1109/TCST.2023.3337589

J15. State Estimation of Solid-State Lithium-Ion Batteries via a Distributed Parameter Electrochemical Model

D. Zhang, S. Tang, L. D. Couto, Z. Wei, V. Viswanathan

Under Review

J16. Detection and Isolation of Incipient Internal Faults in Lithium-Ion Batteries via the Asymptotic Local Approach

L. D. Couto, J. Reniers, D. Zhang, C. Birkl, D. Howey, M. Kinnaert

Under Review

J17. A Novel Joint Estimation Framework for Battery State of Health and Remaining Useful Life based on Sparse and Limited Data

J. Qu, Y. Wang, R. Zheng, M. Li, D. Zhang

Under Review

J18. State-of-Power for Battery Pack with Heterogeneous Cells using Reachable Set Approach

C. Dangwal, D. Zhang, L. D. Couto, P. Gill, S. Benjamin, W. Zeng, S. Moura 

Under Review

Conference Proceedings

C1.   Safety-Driven Battery Charging: A Fisher Information-guided Adaptive MPC with Real-time Parameter Identification

J. Espin, Y. Kajiura, D. Zhang

Submitted to 2024 Modeling, Estimation and Control Conference (MECC)

C2. Physics-Informed Neural Network for Discovering Systems with Unmeasurable States with Application to Lithium-Ion Batteries

Y. Kajiura, J. Espin, D. Zhang

Accepted to 2024 American Control Conference (ACC)

C3. Deep-MPC: A DAGGER-Driven Imitation Learning Strategy for Optimal Constrained

J. Espin, D. Zhang, D. Toti, A. Pozzi

Accepted to 2024 American Control Conference (ACC)

C4. Remaining Useful Life Estimation of Lithium-ion Batteries Based on Thermal Dynamics

D. Zhang, S. Dey, H. E. Perez, S. J. Moura

2017 American Control Conference (ACC)

DOI: 10.23919/ACC.2017.7963575

C5. Hybrid Electrochemical Modeling with Recurrent Neural Networks for Li-ion Batteries

S. Park, D. Zhang, S. J. Moura

2017 American Control Conference (ACC)

DOI: 10.23919/ACC.2017.7963533

C6. Lithium-Ion Battery State Estimation for a Single Particle Model with Intercalation-Induced Stress

D. Zhang, S. Dey, S. J. Moura

2018 American Control Conference (ACC)

ASME Energy System Best Paper Finalist (Top 3)

DOI: 10.23919/ACC.2018.8431476

C7. State and Disturbance Estimator for Unstable Reaction-Advection-Diffusion PDE with Boundary Disturbance

D. Zhang, S.-X. Tang, S. J. Moura

2019 SIAM Conference on Control and its Applications

DOI: 10.23919/ACC.2017.7963575

C8. State of Charge Estimation of Parallel Connected Battery Cells via Descriptor System Theory

D. Zhang, L. D. Couto, S. Benjamin, W. Zeng, D. F. Coutinho, S. J. Moura

2020 American Control Conference (ACC)

ASME Energy System Best Paper

DOI: 10.23919/ACC45564.2020.9147284

C9. Estimation of Parameter Probability Distributions for Lithium-Ion Battery String Models Using Bayesian Methods

L. D. Couto, D. Zhang, A. Aitio, S. J. Moura, D. Howey

ASME 2020 Dynamic Systems and Control Conference

ASME Energy System Best Paper Finalist (Top 3)

DOI: 10.1115/DSCC2020-3218

C10. Interval Observer for SOC Estimation in Parallel-Connected Lithium-ion Batteries

D. Zhang, L. D. Couto, P. S. Gill, S. Benjamin, W. Zeng, S. J. Moura

2020 American Control Conference (ACC)

DOI: 10.23919/ACC45564.2020.9147468

C11. State Estimation for a Zero-Dimensional Electrochemical Model of Lithium-Sulfur Batteries

Z. Huang, D. Zhang, L. D Couto, Q.-H. Yang, S. J. Moura

2021 American Control Conference (ACC)

DOI: 10.23919/ACC50511.2021.9483225

C12. Estimation of Cyclable Lithium for Li-ion Battery State-of-Health Monitoring

S. Park, D. Zhang, R. Klein, S. J. Moura

2021 American Control Conference (ACC)

DOI: 10.23919/ACC50511.2021.9482841

C13. PDE Observer for All-Solid-State Batteries via an Electrochemical Model

D. Zhang, S.-X. Tang, L. D. Couto, V. Viswanathan

2021 Conference on Control Technology and Applications (CCTA)

DOI: 10.1109/CCTA48906.2021.9658679

C14. State-Of-Health Estimation Pipeline for Li-ion Battery Packs with Heterogeneous Cells 

P. Gill, D. Zhang, L. D. Couto, C. Dangwal, S. Benjamin, W. Zeng, S. J. Moura

2022 American Control Conference (ACC)

DOI: 10.23919/ACC53348.2022.9867450

C15. Pack Level State-of-Power Prediction for Heterogeneous Cells 

C. Dangwal, D. Zhang, L. D. Couto, P. Gill, B. Sebastien, W. Zen, S. J. Moura

2022 American Control Conference (ACC)

DOI: 10.23919/ACC53348.2022.9867529

C16. Identifiability of Lithium-Ion Battery Electrolyte Dynamics 

L. D. Couto, R. Drummond, D. Zhang, T. Kirk, D. A. Howey

2022 American Control Conference (ACC)

DOI: 10.23919/ACC53348.2022.9867154

C17. A Model Predictive Control Scheme for Fast Charging via Accurate Quadratic Battery Models 

A. Bills, M. Salazar, D. Zhang, V. Viswanathan

2022 American Control Conference (ACC)

DOI: 10.23919/ACC53348.2022.9867614