Publications

Recent DSLab Team Publications

  1. Ahmadzadeh, O., Rodriguez, R., Getz, J., Panneerselvam, S., & Soudbakhsh, D. (2025). The impact of lightweighting and battery technologies on the sustainability of electric vehicles: A comprehensive life cycle assessment. Environmental Impact Assessment Review, 110, 107668. https://doi.org/10.1016/j.eiar.2024.107668
  2. Rodriguez, R., Wang, Y., & Soudbakhsh, D. (2024, June). Fast Charging of Li-ion Batteries via Learning and Optimization. In 2024 European Control Conference (ECC) (pp. 3715-3720). IEEE. https://doi.org/10.23919/ECC64448.2024.10591042
  3. Ahmadzadeh, O., Tewari, D., Jeevarajan, J., & Soudbakhsh, D. (2024, July). Real-Time Internal Short Circuit Detection in Li-ion Battery Modules During Field Use. In 2024 American Control Conference (ACC) (pp. 3480-3485). IEEE. 10.23919/ACC60939.2024.10644527
  4. Ahmadzadeh, O., Wang, Y., & Soudbakhsh, D. (2024). A data-driven framework for learning governing equations of Li-ion batteries and co-estimating voltage and state-of-charge. Journal of Energy Storage, https://doi.org/10.1016/j.est.2024.110743
  5. Rodriguez, R., Ahmadzadeh, O., Wang, Y., & Soudbakhsh, D. “Data-Driven Discovery of Lithium-Ion Battery State of Charge Dynamics.” ASME. J. Dyn. Sys., Meas., Control. January 2024; 146(1): 011101. https://doi.org/10.1115/1.4064026.
  6. Lukyanenko, A. and Soudbakhsh, D., “Probabilistic motion planning for non-Euclidean and multi-vehicle problems,” Robotics and Autonomous Systems, vol. 168, p. 104487, Oct. 2023, doi: 10.1016/j.robot.2023.104487.
  7. Soudbakhsh, D., Annaswamy, A.M., Wang, Y., Brunton, S.L., Gaudio, J., Hussain, H., Vrabie, D., Drgona, J., Filev, D., “Data-Driven Control: Theory and Applications,” 2023 American Control Conference (ACC), San Diego, CA, USA, 2023, pp. 1922-1939, doi: 10.23919/ACC55779.2023.10156081.
  8. Rodriguez, R., Ahmadzadeh, O., Wang, Y., & Soudbakhsh, D. (2023, May). Discovering governing equations of li-ion batteries pertaining state of charge using input-output data. In 2023 American Control Conference (ACC) (pp. 3081-3086). IEEE, https://doi.org/10.23919/ACC55779.2023.10156114.
  9. Ahmadzadeh, O., Wang, Y., and Soudbakhsh, D., “Sparse Modeling of Energy Storage Systems in the Presence of Noise,” IFAC-PapersOnLine, 56(2), 3764-3769, https://doi.org/10.1016/j.ifacol.2023.10.1546
  10. Ahmadzadeh, O., Rodriguez, R., Wang, Y., & Soudbakhsh, D. (2023, May). A physics-inspired machine learning nonlinear model of Li-ion batteries. In 2023 American Control Conference (ACC) (pp. 3087-3092). IEEE, https://doi.org/10.23919/ACC55779.2023.10156368.
  11. Rodriguez, R., Wang, Y., Ozanne, J., Morrow, J., Sumer, D., Filev, D., and Soudbakhsh, D. “Adaptive Learning and Optimization of High-Speed Sailing Maneuvers for America’s Cup.” ASME. J. Dyn. Sys., Meas., Control. February 2023; 145(2): 021005. https://doi.org/10.1115/1.4056107.
  12. Derakhshan, M., Sahraei, E., and Soudbakhsh, D. “Detecting mechanical indentation from the time constants of Li-ion batteries, Cell Reports Physical Science, Volume 3, Issue 11, 2022, 101102, ISSN 2666-3864, https://doi.org/10.1016/j.xcrp.2022.101102.
  13. Ahmadzadeh, O., Rodriguez, R., and Soudbakhsh, D. “Modelling of Li-ion Batteries for Real-Time Analysis: A Data-Driven Approach,” American Control Conference, 2022, https://doi.org/10.23919/ACC53348.2022.9867616.
  14. Rodriguez, R., Wang, Y., Ozanne, J., Sumer, D., Filev, D., & Soudbakhsh, D. (2022). Adaptive Takeoff Maneuver Optimization of a Sailing Boat for America’s Cup. Journal of Sailing Technology, 7(01), 88-103, https://doi.org/10.5957/jst/2022.7.4.88.
  15. Derakhshan, M., and Soudbakhsh, D. “Temperature-Dependent Time Constants of Li-ion Batteries,” in IEEE Control Systems Letters, vol. 6, pp. 2012-2017, 2022, doi: 10.1109/LCSYS.2021.3138036.
  16. Rodriguez, R., Wang, Y., Ozanne, J., Sumer, D., Filev, D., & Soudbakhsh, D. (2022). Adaptive Learning for Maximum Takeoff Efficiency of High-Speed Sailboats. IFAC-PapersOnLine, 55(12), 402-407, https://doi.org/10.1016/j.ifacol.2022.07.345.
  17. Lukyanenko, A., and Soudbakhsh, D. “Sampling-Based Multi-Agent Choreography Planning: A Metric Space Approach,” 2021, arXiv: 2108.03191 [cs.RO].
  18. Keshavarzi,M., Derakhshan, D., Gilaki,M., L’Eplattenier, P., Caldichoury, I., Soudbakhsh, D., and Sahraei, E., “Coupled Electrochemical-Mechanical Modeling of Lithium-Ion Batteries Using Distributed Randle Circuit Model,” 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET), 2021, pp. 1-6, doi: 10.1109/ICECET52533.2021.9698796.
  19. Derakhshan, M., Gilaki, M., Stacy, A., Sahraei, E., and Soudbakhsh, D. (January 22, 2021). “Bending Detection of Li-Ion Pouch Cells Using Impedance Spectra.” ASME. Letters Dyn. Sys. Control. July 2021; 1(3): 031005. doi 10.1115/1.4049527.
  20. Lukyanenko, A., Camphire, H., Austin, A., Schmidgall, S., and Soudbakhsh, D.”Optimal Localized Trajectory Planning of Multiple Non-holonomic Vehicles,” 2021 IEEE Conference on Control Technology and Applications (CCTA), 2021, pp. 820-825, doi: 10.1109/CCTA48906.2021.9658995.
  21. Rodriguez, R. (2021). Optimal Control Of The Ac75 Sailboat For The America’s Cup Race (Master’s Thesis, Temple University. Libraries), http://dx.doi.org/10.34944/dspace/7177.
  22. Soudbakhsh, D.; Gilaki, M.; Lynch, W.; Zhang, P.; Choi, T.; Sahraei, E. Electrical Response of Mechanically Damaged Lithium-Ion Batteries. Energies 2020, 13, 4284. doi: 10.3390/en13174284.
  23. Stacy, A., Gilaki, M., Sahraei, E., and Soudbakhsh, D.”Investigating the Effects of Mechanical Damage on Electrical Response of Li-Ion Pouch Cells,” 2020 American Control Conference (ACC), 2020, pp. 242-247, doi: 10.23919/ACC45564.2020.9147883.
  24. Rodriguez, R., & Soudbakhsh, D. (2019, October). Modeling and predictive control of an unmanned underwater vehicle. In Dynamic Systems and Control Conference (Vol. 59162, p. V003T21A009). American Society of Mechanical Engineers, https://doi.org/10.1115/DSCC2019-9154.
  25. Sahraei, E., Gilaki, M., Lynch, W., Kirtley, J., and Soudbakhsh, D. “Cycling Results of Mechanically Damaged Li-Ion Batteries,” 2019 IEEE Electric Ship Technologies Symposium (ESTS), 2019, pp. 226-230, doi: 10.1109/ESTS.2019.8847923.
  26. Soudbakhsh, Damoon; Annaswamy, Anuradha; Voit, Harald: “Adaptation in network control systems with hierarchical scheduling,” IET Control Theory & Applications, 2019, 13, (17), p. 2775-2782, doi: 10.1049/iet-cta.2018.6121.
  27. Soudbakhsh D., Phan L.X, Annaswamy A.M., and Sokolsky O., “Co-Design of Arbitrated Network Control Systems With Overrun Strategies,” in IEEE Transactions on Control of Network Systems, vol. 5, no. 1, pp. 128-141, March 2018, doi: 10.1109/TCNS.2016.2583064.
  28. Soudbakhsh D., Chakrabortty A., Annaswamy A.M., “A delay-aware cyber-physical architecture for wide-area control of power systems,” Control Engineering Practice, Volume 60, 2017, Pages 171-182, doi: 10.1016/j.conengprac.2016.12.012.
  29. Soudbakhsh, D., Annaswamy, A.M., “Health monitoring with matrix regressor based adaptive observers,” 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2017, pp. 5131-5136, doi: 10.1109/CDC.2017.8264419.
  30. Soudbakhsh, D, & Annaswamy, AM. “Prognostics and Health Monitoring of Electro-Hydraulic Systems.” Proceedings of the ASME 2017 Dynamic Systems and Control Conference. Tysons, Virginia, USA. October 11–13, 2017. V002T19A005. doi: 10.1115/DSCC2017-5392
  31. Dibaji, S.M., Yildiz, Y., Annaswamy, A.M., Chakrabortty, A., Soudbakhsh, D., “Delay-Aware Control Designs of Wide-Area Power Networks”, IFAC-PapersOnLine, Volume 50, Issue 1, 2017, Pages 79-84, doi: 10.1016/j.ifacol.2017.08.014.

Talks and Tutorials

  1. Soudbakhsh, D., Annaswamy, A.M., Wang, Y., Brunton, S.L., Gaudio, J., Hussain, H., Vrabie, D., Drgona, J., Filev, D., “Data-Driven Control: Theory and Applications,” Tutorial paper, ACC’2023, p. 18, 2023.
  2. Soudbakhsh, D., “Evaluating the Safety of Li-ion Batteries Using their Distributed Time Constants: Theory and Experiments,” SAE World Congress, Detroit, MI, April 2023.
  3. Soudbakhsh, D., Annaswamy A.M., “Overun Strategies for Network Control systems,” IMECE 2017, Tampa, FL.
  4. “Adaptation in Cyber-Physical Systems,” The Eighteenth Yale Workshop on Adaptive and Learning Systems, Yale University, New Haven, Connecticut, June 21-23, 2017.