Publications

Taesic Kim: Google Scholar Citation

YouTube Lab Channel: https://www.youtube.com/channel/UCHdSXn_HfHXsaRjc2ECZlYA

Refereed Journal Papers (* Corresponding Author):

1. J. Zeng*, A. De La Cruz, T. Kim, and V. Winstead, "A stacking ensemble learning-based model predictive control for a three-phase inverter," IEEE Trans. Industry Applications, 2024, submitted. 

2. D. Han, M. A. Zamee, G. Choi , T. Kim, and D. Won*, "Optimal electric vehicle charging planning and routing using real-time trained energy prediction with physics-based powertrain model ," IEEE Access , 2024, submitted. 

3. N. Sugunaraj, S. R. A. Balaji, B. S. Chandar, T. Mahfuz, P. Chakraborty, S. Ahmad, T. Kim, G. Aprunzzese, A. Dubey, L. Strezoski, B. Blakely, S. Ghosh, M. J. B. Reddy, H. V. Padullaparti, and P. Ranganathan*, "Distributed energy resources management system (DERMS) cybersecurity scenarios, trends, and potential technologies: A review," IEEE Communications Surveys and Tutorials, 2023, submitted. 

4. M. Chae, T. Kim, and D. Won*, "Optimal operation scheme of electric vehicle routing and charging considering power distribution and transportation integrated system," IEEE Access , vol. 12, pp. 83427-83438, May 2024. 

5. B. Ahn, T. Kim*, S. Ahmad, S. Mazumder, J. Johnson, A. Mantooth, and C. Farnell, "An overview of cyber-resilient smart inverters based on practical attack models," IEEE Trans. Power Electronics, vol. 39, no. 4, pp. 4657-4673, April 2024.

6. E. Kim, M. Kim, J. Kim, J. Kim, J-H. Park, K-T. Kim, J-H. Park, T. Kim, K. Min*, "Data-driven methods for predicting state of health, state of charge, and remaining useful life of Li-ion batteries: A comprehensive review," International Journal of Precision Engineering and Manufacturing, vol. 24, pp.  1281-1304, July 2023.  

7. J. Kim, E. Kim, J-H. Park, K-T. Kim, J-H. Park*, T. Kim*, and K. Min*, "Impact of data partitioning to improve the prediction accuracy for remaining useful life of Li-ion batteries," International Journal of Energy Research, vol. 2023, pp. 1-13, Feb. 2023. 

8. A. Moradzadeh, M. Mohammadpourfard*, C. Konstantinou, I. Genc, T. Kim, and B. Mohammadi-Ivatloo, "Electric load forecasting under false data injection attacks using deep learning," Energy Reports, vol. 8, pp. 9933-9945, Nov. 2022. 

9. J. Ye, A. Giani, A. Elasser, S. K. Mazumder, C. Farnell, H. A. Mantooth, T. Kim, J. Liu, B. Chen, G-S. Seo, W. Song, M. Greidanus, S. Sahoo, F. Blaabjerg, J. Zhang, L. Guo, B. Ahn, M. B. Shadmand, N. R. Gajanur, M. A. Abbaszada, "A review of cyber-physical security for photovoltaic systems," IEEE Journal of Emerging and Selective Topics in Power Electronics, vol. 10, no. 4, pp. 4879-4901, Aug. 2022.

10. W. Hua*, F. Luo, L. Du, S. Chen, T. Kim, T. Morstyn, V. Robu, and Y. Zho, "Guest editorial: Blockchain technologies empowering peer-to-peer trading in multi-nergy systems: From advanced technologies towards applications," IET Smart Grid, vol. 5, no. 4, pp. 219-222, July 2022. 

11. H-Y. Kwon, T. Kim, and M-K. Lee*, "Advanced intrusion detection by combining signature and behavior-based methods for real-time control systems," Electronics, vol. 11, no. 6, 867, Mar. 2022.

12. T. Kim*, J. Ochoa, T. Faika, A. Mantooth, J. Di, Q. Li, and Y. Lee, “An overview of cyber-physical security of battery management systems and adoption of blockchain technology,” IEEE Journal of Emerging and Selective Topics in Power Electronics, vol. 10, no. 1, pp. 1270-1281, Feb. 2022. 

13. J. Ahn, H. Kwon, B. Ahn, K. Park, T. Kim, M. Lee, J. Kim, and J. Chung*, "Toward quantum secured distributed energy resources: Adoption of post-quantum cryptography (PQC) and quantum key distribution (QKD)," Energies,  vol. 15,  714, Jan. 2022. 

14. H. Lee, K. Kim, J-H. Park, G. Bere, J. J. Ochoa, and T. Kim*, "Convolutional neural network-based false battery data detection and classification for battery energy storage systems," IEEE Trans. Energy Conversion, vol. 36, no, 4, pp. 3108-3117, Dec. 2021.

15. T. Gaybullaev, H-Y. Kwon, T. Kim, M-K. Lee*, "Efficient and privacy-preserving energy trading on blockchain using dual binary encoding for inner product encryption," Sensors, vol. 21.  no. 6, 2024, Mar. 2021.

16. C. Wei*, X. Bai, and T. Kim, "Advanced control and optimization for complex energy systems," Complexity, 2020, Complexity, vol. 2020, pp. 1-3, Mar. 2020.

17. J. Zeng*, J. Ning, X. Du, T. Kim, Z. Yang, and V. Winstead, “A four-port DC-DC converter for a standalone wind and solar energy system”, IEEE Trans. Industry Applications, vol. 56, no. 1, pp. 446-454, Jan./Feb. 2020.

18. T. Kim, W. Qiao*, and L. Qu, "An enhanced real-time hybrid battery model," IEEE Trans. Energy Conversion, vol. 34, no. 4, pp. 1848-1858, Dec. 2019.

19. C. Wei*, M. Benosman, and T. Kim, "Online parameter identification for state of power prediction of lithium-ion batteries in electric vehicles using extremum seeking,"  International Journal of Control, Automation and Systems, vol. 17, no. 11,  pp. 2906-2916, Nov. 2019.

20. T. Kim*, A. Adhikaree, R. Pandey, D. Kang, M. Kim, C-Y Oh, and J. Baek, “An on-board model-based condition monitoring for lithium-ion batteries,” IEEE Trans. Industry Applications, vol. 55, no. 2,  pp. 1835-1843, Mar/April, 2019.

21. T. Kim*, D. Makwana, A. Adhikaree, J. S. Vagdoda, and Y. Lee, “Cloud-based battery condition monitoring and fault diagnosis platform for large-scale lithium-ion battery energy storage systems,” Energies, vol. 11.  no. 1, 125, Jan. 2018.

22. T. Kim, Y. Wang*, Z. Sahinoglu, T. Wada, S. Hara, and W. Qiao, “Model-based condition monitoring for lithium-ion batteries,” Journal of Power Sources, vol. 295, pp.16-27, Nov. 2015.

23. T. Kim, Y. Wang*, Z. Sahinoglu, T. Wada, S. Hara, and W. Qiao, “Rayleigh quotient-based recursive total least square online maximum capacity estimation for lithium-ion batteries,” IEEE Trans. Energy Conversion, 2015, vol. 30, no. 3, pp. 842-851, May 2015.

24. T. Kim, W. Qiao* and L. Qu, “Power electronics-enabled self-X multicell batteries: a design toward smart batteries,” IEEE Trans. Power Electronics, vol. 27, no. 11, pp. 4273-4733, Nov. 2012.

25. T. Kim and W. Qiao*, “A hybrid battery model capable of capturing dynamic circuit characteristics and nonlinear capacity effects,” IEEE Trans. Energy Conversion, vol. 26, no. 4, pp. 1172-1180, Dec. 2011.

Refereed Conference Proceedings (* Corresponding Author): 

1. J. Zeng*, T. Kim, and V. Winstead, "A load insensitive model predictive control for three-phase inverter with L-C filter," in Proc. 2024 IEEE Energy Conversion Congress and Exposition, 2024, accepted.  

2. C. Hingu, X. Fu*, R. Mishan, and T. Kim, "PWM-based hardware authentication for smart inverters: Detecting counterfeit inverter through transient response analysis," in Proc. 2024 IEEE Energy Conversion Congress and Exposition, 2024, accepted.

3. J. Massa, K-T. Kim, T. Kim*, K. Venayagamoorthy, and J. Zeng, "Adversarial machine learning attack on machine learning-based controller for solar inverters,"  in Proc. 2024 IEEE Energy Conversion Congress and Exposition, 2024, accepted

4. B. Ahn, K. Nakka, and T. Kim*, "Field demonstration of blockchain-based security for a solar farm," in Proc. 2024 IEEE Energy Conversion Congress and Exposition, 2024, accepted.

5. A. Khot, T. Kim*, A. Akash, C. H. Kim, and W. Moy, “Quantum-inspired machine learning framework using a physics-based Ising solver chip,” in Proc. 2024 International Conference on Industrial Cyber-Physical Systems, Saint Louis, MO, USA, 2024, in press.

6. B. Ahn, A. Jenkins, J. Massa, L. M. Silva, T. Kim*, and S. Choi, "Disruption of commercial solar inverter system by TLS Proxy Man-in-the-Middle Attack," in Proc.  the 7th IEEE International Conference on Industrial Cyber-Physical Systems, Saint Louis, MO, USA, 2024, in press.

7. K. Nakka, S. Ahmad, T. Kim*, L. Atkinson, and H. Ammari, "Post-quantum cryptography (PQC)-grade IEEE 2030.5 for quantum secure distributed energy resources networks," in Proc. 2024 IEEE PES ISGT NA, Washington, DC, USA, 2024, pp. 1-5. 

8. S. Gupta, M. D. R. Greidanus, S. A. D'silva, M. Baker, S. Bhattacharya, S. K. Mazumder*, M. Shadmand, M. Govindarasu, T. Kim, J. C. Balda, X. Song, R. Adapa, M. Shahidehpour, and J. Johnson, "Cyber resilience of a solid-state power substation," in Proc. 2024 IEEE Applied Power Electronics Conference and Exposition (APEC), Long Beach, CA, USA, 2024, pp. 2293-2300. 

9. A. Akash, A. Khot, and T. Kim*, "Quantum annealing-based machine learning for battery health monitoring robust to adversarial attacks," in Proc. 2023 IEEE Energy Conversion Congress and Exposition, Nashville, TN, USA, 2023, pp. 6307-6311.

10. B. Ahn, A. Jenkins, T. Kim*, and J. Zeng, "Exploring ransomware attacks on smart inverters," in Proc. 2023 IEEE Energy Conversion Congress and Exposition, Nashville, TN, USA, 2023, pp. 1567-1573.  

11. A. Cruz, J. Zeng*, T. Kim, and V. Winstead, "Comparing support vector machine and artificial neural networks based model predictive control in power converter, in Proc. 2023 IEEE Energy Conversion Congress and Exposition,  Nashville, TN, USA, 2023, pp. 3490-3494.

12. A. Akash, B. Ahn, A. Jenkins, A. Khot, L. Silva, H. Tavares-Vengas, and T. Kim*, "Quantum convolutional neural network-based online malware file detection for smart grid devices," in Proc. 2023 IEEE Design Methodologies Conference, Miami, FL, USA, 2023, pp. 1-5.

13. M. Chae, H. J. Cha, D. Won*, and T. Kim, "Optimal EV route scheduling considering the integrated power and transportation System," in Proc. CIRED 2023 Int. Conference & Exhibition on Electricity Distribution, Rome, Italy, June 12-15, 2023, pp. 3215-3219.

14. A. Akash, D. Yendluri, J. Kim, T. Kim*, E. Kim, J-H. Park, K-T. Kim, J-H. Park, and K. Min, "Online battery data analytics pipeline using bigdata tools for electric vehicles," in Proc. IEEE ICPE 2023-ECCE Asia, Jeju Island, Korea, May. 22-25, 2023, pp. 1207-1211.  

15. A. M. Jenkins, B. Ahn, A. Akash, and T. Kim*, "Device-centric ransomware detection using machine learning-based memory forensics for smart inverters," in Proc. Eighth Annual Industrial Control System Security (ICSS) Workshop, Austin, TX, USA, Dec. 6, 2022, pp. 1-7. 

16. S. Ahmad, B. Ahn, T. Kim*, J. Choi, M. Chae, D. Han, and D. Won, "Blockchain-integrated resilient distributed energy resources management system," in Proc. 2022 IEEE SmartGridComm, Singapore, Oct. 25-28, 2022, pp. 59-64.      

17. A. K. Verma*, C. Burgos-Mellado, S. Gautam, H. Ahmed, T. Kim, M. A. Akhtar, G. Fedele, and P. Roncero-Sanchez, “Robust nonadaptive three-phase quasi-type-I PLL approach under distorted grid voltage conditions,” in Proc. 2022 IEEE 5th International Conference on Computing, Power and Communication Technologies, New Delhi, India, 2022, Sep. 23-25, 2022, pp. 1-6.

18. S. Alvee, B. Ahn, S. Ahmad, K. Kim, T. Kim*, and J. Zeng, "Device-centric firmware malware detection for smart inverters using deep transfer learning," in Proc. 2022 IEEE Design Methodologies Conferences, Bath U.K., Sep. 1-2, 2022, pp. 1-5.  

19. R. Mishan, A. D. L. Cruz, J. Zeng*, and T. Kim, “A virtual impedance based control for power sharing in a microgrid with uncertainty in line impedance,” in Proc. 2022 IEEE International Conference on Electro Information Technology, Mankato, MN, May 19-21, 2022, pp. 268-272. 

20. M. Mohmmadpourfard*, Y. Weng, I. Genc, and T. Kim, "An accurate false data injection attack (FDIA) detection in renewable-rich power grids," in Proc. 10th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, Milan, Italy, May 3, 2022, pp. 1-5. 

21. S. Ahmad, B. Ahn, S. R. B. Alvee, D. Trevino, T. Kim*, Y-W. Youn, and M-H. Ryu, "Advanced persistent threat (APT)-style attack modeling and testbed for power transformer diagnosis system in a substation," in Proc. 2022 IEEE PES Innovative Smart Grid Technologies Conference North America, New Orleans, LA, April 24-28, 2022, pp. 1-5. 

22. J. Kim, K. Park, B. Ahn, J. Choi, Y. Noh, D. Won, and T. Kim*, "Real-time hardware-in-the-loop distributed energy resources system testbed using IEEE 2030.5 standard," in Proc. 2021 IEEE PES Innovative Smart Grid Technologies – Asia (ISGT Asia), Brisbane, Australia, Dec. 5-8, 2021, pp. 1-5. (Best Paper Award)

23. Y. Su, B. Ahn, S. Alvee, T. Kim*, J. Choi, and S. Smith, "Ransomware security threat modeling for photovoltaic systems," in Proc. 2021 6th IEEE Workshop on Electronic Grid (eGrid), New Orleans, LA, Nov. 8-10, 2021, pp.1-5.

24. S. Alvee, B. Ahn, T. Kim*, Y. Su, Y-W. Yoon, and M-H. Ryu, "Ransomware attack modeling and artificial intelligence-based ransomware detection for digital substations," in Proc. 2021 6th IEEE Workshop on Electronic Grid (eGrid), New Orleans, LA, Nov. 8-10, 2021, pp.1-5.

25. J. Choi, B. Ahn, S. Pedavalli, S. Ahmad, A. Villasenor, and T. Kim*, "Secure firmware update and device authentication for smart inverter using blockchain and physically unclonable function (PUF)-embedded security module," in Proc. 2021 6th IEEE Workshop on Electronic Grid (eGrid), New Orleans, LA, Nov. 8-10, 2021, pp.1-4.

26. H-Y. Kwon, T. Kim, M-K. Lee*, "A hybrid intrusion detection method for industrial control systems," in Proc. The 7th International Conference on Next Generation Computing 2021, Jeju, Korea, Nov. 4- 6, 2021, pp. 95-99.

27. B. Ahn, G. Bere, S. Ahmad, J. Choi, and T. Kim*, "Blockchain-enabled security module for transforming conventional inverters toward firmware security-enhanced smart inverters," in Proc. 2021 IEEE Energy Conversion Congress and Exposition, Vancouver, BC, Canada, Oct. 10-14, 2021, pp. 1307-1312.

28. K. Kim, H. Lee, J-H. Park, G. Bere, J. Ochoa, and T. Kim*, "Artificial intelligence-based hardware fault detection for battery balancing circuits," in Proc. 2021 IEEE Energy Conversion Congress and Exposition, Vancouver, BC, Canada, Oct. 10-14, 2021, pp. 1387-1392.

29. J. Choi, B. Ahn, G. Bere, S. Ahmad, A. Mantooth, and T. Kim*, "Blockchain-based man-in-the-middle (MITM) attack detection for photovoltaic systems," in Proc. 2021 IEEE Design Methodologies Conference, Bath, UK, Jul. 14-15, 2021, pp. 1-6.

30. K. Park, B. Ahn, J. Kim, D. Won, Y. Noh, J. Choi, and T. Kim*, "An advanced persistent threat (APT)-style cyberattack testbed for distributed energy resources (DER) systems," in Proc. 2021 IEEE Design Methodologies Conference, Bath, UK, Jul. 14-15, 2021, pp. 1-5.

31. T. Kim*, C. Lee, J. J. Ochoa, H. Lee, K. Kim, and J-H. Park, "Hybrid bar-delta filter-based health monitoring for multicell lithium-ion batteries using an internal short-circuit cell model," in Proc. 2021 IEEE International Symposium on Power Electronics for Distributed Generation Systems, June 28-July 1, 2021, pp. 1-7.

32. J. Ahn, J. Chung, T. Kim*, B. Ahn, and J. Choi, "An overview of quantum security for distributed energy resources," in Proc. 2021 IEEE International Symposium on Power Electronics for Distributed Generation Systems, June 28-July 1, 2021, pp. 1-7.

33. J. Choi, B. Ahn, S. Ahmad, D. Narayanasamy, J. Zeng, and T. Kim*, "A real-time hardware-in-the-Loop (HIL) cybersecurity testbed for power electronics devices and systems in cyber-physical system environments," in Proc. 2021 IEEE International Symposium on Power Electronics for Distributed Generation Systems, June 28-July 1, 2021, pp. 1-5.

34. G. Bere, B. Ahn, J. J. Ochoa, T. Kim*, A. A. Hadi, and J. Choi, "Blockchain-based firmware security check and recovery for smart inverters," in Proc. 2021 IEEE Applied Power Electronics Conference and Exposition (APEC), Phoenix, AZ, June 14-17, 2021, pp. 675-679.  

35. B. Ahn, T. Kim*, J. Choi, K. Park, and D. Won, "A cyber kill chain model for distributed energy resources (DER) aggregation systems," in Proc. 2021 IEEE PES Innovative Smart Grid Technologies Conference North America, Washington, DC, USA, Feb. 16-18, 2021, pp. 1-5. 

36. B. Ahn, T. Kim*, S. Smith, Y. Yoon, and M-H. Ryu, "Security threat modeling for power transformers in cyber-physical environments," in Proc. 2021 IEEE PES Innovative Smart Grid Technologies Conference North America,  Washington, DC, USA, Feb. 16-18, 2021, pp. 1-5.   

37. H. Lee, G. Bere, K. Kim, J. Ochoa, J-H. Park, and T. Kim*, "Deep learning-based false sensor data detection for battery energy storage systems," in Proc. 2020 IEEE CyberPELS Workshop, Oct. 13, 2020, pp. 1-6. 

38.  A. A. Hadi, G. Bere, B. Ahn, and T. Kim*, "Smart contract-defined control and co-simulation for smart inverters in a photovoltaic (PV) system and blockchain network," in  Proc. 2020 IEEE CyberPELS Workshop, Oct. 13, 2020, pp.1-6. 

39. G. Bere, J. Ochoa, I. R. Aenugu, and T. Kim*, "Blockchain-based firmware security check and recovery for battery management systems," in Proc. 2020 IEEE Transportation Electrification Conference and Expo (ITEC), Jun. 22-26, 2020, pp. 262-266.  

40. I. R. Aenugu, G. Bere, J. Ochoa, T. Kim*, C. Lee, and J-H. Park, "Battery data management and analytics platform using blockchain technology," in Proc. 2020 IEEE Transportation Electrification Conference and Expo (ITEC), Jun. 22-26, 2020, pp. 153-157. 

41. A. A. Hadi, G. Bere, J. Ochoa, T. Kim*, J. Zeng, and G. Seo, “Secure and cost-effective micro phasor measurement unit (PMU)-like metering for behind the meter (BTM) solar systems using blockchain-assisted smart inverters,” in Proc. IEEE 2020 Applied Power Electronics Conference and Exposition (APEC), New Orleans, LA,  Mar. 16-19, 2020 , pp. 2369-2375.

42. X. Du, J. Zeng*, J. Ning, T. Kim, and V. Winstead, “Modeling and control of a four-port DC-DC converter for a DC microgrid with renewable energy sources,” in Proc. IEEE 2020 Applied Power Electronics Conference and Exposition (APEC), New Orleans, LA,  Mar. 16-19, 2020, pp. 3391-3396. 

43. H. Lee, J-H Park*, J. Kim, and T. Kim, "Design of state of health prediction model for retired high power LiNiMnCoO2 cell with Holts exponential smoothing method," in Proc. International Conference on Intelligent Information Technology (ICIIT 2020), Hanoi,  Vietnam, Feb. 19-22, 2020, pp.152-155.

44. J. Ochoa, G. Bere, I. R. Aenugu, T. Kim*, and K. K. R. Choo, “Blockchain-as-a-service for battery energy storage systems," in Proc. 2020 IEEE Texas Power and Energy Conference, College Station, TX, Feb. 6-7, 2020, pp. 1-6. 

45. C. Lee, T. Kim, J. Kim, and J-H. Park*, "Available discharge capacity estimation according to C-rate variation of second-used battery," in Proc. 2019 The 7th International Conference on Information Technology, Dec. 20-23, 2019, pp. 458-462.

46. S. Park* and T. Kim, "Correcting timing mismatch of interleaved ADCs Using DCT," in Proc. The 2019 International Conference on Computational Science and Computational Intelligence, Las Vegas, NV, USA, Dec. 5-7, 2019,  pp. 590-594. 

47. T. Faika, T. Kim*,  J. Ochoa, M. Khan, S. Park, and  C. S. Leung, “A blockchain-based Internet of Things (IoT) network for security-enhanced wireless battery management systems,” in Proc. 2019 IEEE IAS Annual Meeting, Baltimore, MD, Sept. 29-Oct. 3, 2019, pp. 1-6.

48. A. A. Hadi, U. Sinha, T. Faika, T. Kim*, J. Zeng, and M-H. Ryu, “Internet of Things (IoT)-enabled solar micro inverter using blockchain technology,” in Proc. 2019 IEEE IAS Annual Meeting, Baltimore, MD, Sept. 29-Oct. 3, 2019, pp. 1-5.

49. U. Sinha, A. A. Hadi, T. Faika, and T. Kim*, “Blockchain-based communication and data security framework for IoT-enabled micro solar inverters,” in Proc. 2019 IEEE CyberPELS Workshop, Knoxville, TN, April 29-May 1, 2019, pp. 1-5.

50. J. Zeng*, J. Ning, T. Kim, and V. Winstead, "Modeling and control of a four-port DC-DC converter for a hybrid energy system," in Proc. 2019 IEEE Applied Power Electronics Conference and Exposition, Anaheim, CA, Mar. 17-21, 2019, pp. 193-198.

51. T. Kim*,  X. Zhang, S. Park, J. Zeng, and C. Wei, “A novel phase-locked loop-enabled power estimator for single-phase power electronic converters,” in Proc. 2018 International Conference on Circuit, Devices and Systems (ICCDS 2018), Nov. 24-26, 2018, pp. 240-244 .

52. T. Kim*, D. Kang, M. Kim, C-Y Oh, and J. Baek, "An efficient on-board health monitoring for multicell lithium-ion battery systems using Gaussian process clustering,” in Proc. 2018 IEEE Energy Conversion Congress and Exposition, Portland, OR, Sept. 23-27, 2018, pp. 5604-5609.

53. J. Zeng*, J. Zhao, T. Kim, “Modeling and control for a photovoltaic inverter with power decoupling on the AC side,” in Proc. 2018 IEEE Energy Conversion Congress and Exposition, Portland, OR, Sept. 23-27, 2018, pp. 991-997.

54. J. Zeng*, T. Kim, and V. Winstead, “A soft-switched four-port DC-DC converter for renewable energy integration application,” in Proc. 2018 IEEE Energy Conversion Congress and Exposition, Portland, OR, Sept. 23-27, 2018, pp. 5851-5856.

55. J. Vagdoda, D. Makwana, A. Adhikaree, T. Faika, and T. Kim*, “A cloud-based multiagent system platform for residential microgrids towards smart grid community,” in Proc.  IEEE Power and Energy Society General Meeting, 2018, Long Beach, CA, Aug. 5-9, 2018, pp. 1-5.

56.  S. Kumbhar, T. Faika, D. Makwana, T. Kim*, and Y. Lee, “Cybersecurity for battery management systems in cyber-physical environments,” in Proc. 2018 IEEE Transportation Electrification Conference and Expo (ITEC), Long Beach, CA, June 13-15, 2018, pp. 934-938. 

57. T. Faika, T. Kim*, and M. Khan, “An Internet of Things (IoT)-based network for dispersed, decentralized wireless battery management systems,” in Proc.  2018 IEEE Transportation Electrification Conference and Expo, (ITEC), Long Beach, CA, June 13-15, 2018, pp. 1060-1064. 

58. T. Kim*, A. Adhikaree, R. Pandey, D. Kang, M. Kim, C-Y Oh, and J. Baek, “An outlier mining-based real-time fault diagnosis for lithium-ion batteries using a low-priced microcontroller,” in Proc. 2018 IEEE Applied Power Electronics Conference and Exposition, San Antonio, TX, Mar. 4-8, 2018, pp. 3365-3369. (Outstanding Presentation Award). 

59. J. Zeng*, M. Zhuo, H. Cheng, T. Kim, V. Winstead, and L. Wu, “Power pulsation decoupling for a two-stage single-phase photovoltaic inverter with film capacitor,” in Proc. 2017 IEEE Energy Conversion Congress and Exposition, Cincinnati, OH, Oct. 1-5, 2017, pp. 468-474.

60. A. Adhikaree, T. Kim*, J. Vagdoda, A. Ochoa, P. J. Hernandez, and Y. Lee, “Cloud-based battery condition monitoring platform for large-scale lithium-ion battery energy storage systems using Internet-of-Things (IoT)," in Proc. 2017 IEEE Energy Conversion Congress and Exposition, Cincinnati, OH, Oct. 1-5, 2017, pp. 1004-1009.

61. T. Kim*, A. Adhikaree, D. Kang, M. Kim, C-Y. Oh and J. Baek, “A real-time condition monitoring for lithium-ion batteries using a low-priced microcontroller,” in Proc. 2017 IEEE Energy Conversion Congress and Exposition, Cincinnati, OH, Oct. 1-5, 2017,  pp. 5248-5253.

62. C. Wei*, W. Qiao, and T. Kim, “Low-voltage ride-through performance sensorless vector controlled doubly-fed induction generators, in Proc. 2017 IEEE International Conference on Electro Information Technology, Lincoln, NE, May 14-17, 2017, pp. 530-534. 

63. T. Kim,* R. Huerta, J. Zeng, C. S. Leung, and S. Park, “Fast recursive least square-based estimator for active and reactive power control of single-phase power electronic converts,” in Proc. 2017 IEEE International Conference on Electro Information Technology, Lincoln, NE, May 14-17, 2017, pp. 121-124 (Best Paper Award). 

64. A. Adhikaree, H. Mankani, J. Kim, W. Qiao, and T. Kim*, “IoT-enabled multiagent system for residential DC microgrids,” in Proc. 2017 IEEE International Conference on Electro Information Technology, Lincoln, NE, May 14-17, 2017, pp. 100-104.

65. T. Kim*, A. Adhikaree, D. Kang, M. Kim, and J. Baek, “A new hybrid filter-based online condition monitoring for lithium-ion batteries,” in Proc. 2017 IEEE International Conference on Electro Information Technology, Lincoln, NE, May 14-17, 2017, pp. 22-27.

66. T. Kim, W. Qiao*, and L. Qu, “Hysteresis modeling for model-based condition monitoring of lithium-ion batteries,” in Proc. 2015 IEEE Energy Conversion Congress and Exposition, Montreal, Canada, Sept. 20-24, 2015, pp. 5068-5073.

67. T. Kim, J. Yoon, and W. Qiao*, “A multiagent system for residential DC microgrid,” in Proc. IEEE Power and Energy Society General Meeting, July 26-30, 2015, pp. 1-5.

68. T. Kim, Y. Wang*, Z. Sahinoglu, T. Wada, S. Hara, and W. Qiao, “State of charge estimation based on real-time battery model and iterative SVSF,” in Proc. 2014 IEEE Innovative Smart Grid Technologies Conference, Kuala Lumpur, Malaysia, May 20-23, 2014, pp. 132-137.

69. T. Kim, Y. Wang*, Z. Sahinoglu, T. Wada, S. Hara, and W. Qiao, “ Fast UD factorization-based RLS online parameter identification for model-based condition monitoring of lithium-ion batteries,” in Proc. American Control Conference, Portland, OR, June 4-6, 2014, pp. 4410-4415.

70. T. Kim, W. Qiao*, and L. Qu, “Online SOC and SOH estimation for multicell lithium-ion batteries based on an adaptive hybrid battery model and sliding-mode observer,” in Proc. 2013 IEEE Energy Conversion Congress and Exposition, Denver, CO, Sept. 15-19, 2013, pp. 292-298. 

71. T. Kim, W. Qiao*, and L. Qu, “Online state of charge and electrical impedance estimation for multicell lithium-ion batteries,” 2013 IEEE Transportation Electrification Conference and Expo, June 16-19, 2013, pp. 1-6.

72. T. Kim, W. Qiao*, and L. Qu, “Real-time state of charge and electrical impedance estimation for lithium-ion batteries based on a hybrid battery model,” in Proc. 2013 IEEE Applied Power Electronics Conference and Exposition, Mar. 2013, pp. 563-568. 

73. F. Parigi, T. Gachovska, T. Kim, Y. Gao, D. Patterson, J. L. Hudgins*, and Y. Lu, “Minimal energy storage system using carbon nanotube and nano-onion ultracapacitors for an electrified bike,” in Proc. IASTED International Conference on Power and Energy Systems, EuroPES 2012, Napoli, Italy, June 25-27, 2012, pp. 147-153.

74. T. Kim, W. Qiao*, and L. Qu, “A Multicell battery system design for electric and plug-in hybrid electric vehicles,” in Proc. 2012 IEEE International Electric Vehicle Conference, Greenville, SC, USA, Mar. 4-8, 2012, pp. 1-7.

75. T. Kim, W. Qiao*, and L. Qu, “Series-connected self-reconfigurable multicell battery capable of safe and effective charging/discharging and balancing operations,” in Proc. 2012 IEEE Applied Power Electronics Conference and Exposition, Orlando, FL, USA, Feb. 5-9, 2012, pp. 2259-2264.

76. T. Kim, W. Qiao*, and L. Qu, “Self-reconfigurable multicell battery,” in Proc. 2011 IEEE Energy Conversion Congress and Exposition 2011, Phoenix, Arizona, Sept 17-22, 2011, pp. 3549 - 3555.

77. T. Kim, W. Qiao*, and L. Qu, “Series-connected self-reconfigurable multicell battery,” in Proc. 2011 IEEE Applied Power Electronics Conference and Exposition, Fort Worth, TX, USA, Mar. 6-10, 2011, pp. 1382-1387.

78. T. Kim, W. Qiao*, and L. Qu, “Series-connected reconfigurable multicell battery: A novel design towards smart batteries,” in Proc. IEEE Energy Conversion Congress and Exposition 2010, Atlanta, GA, USA, Sept. 12-16, 2010, pp. 4257-4263. 

Patents:

1. Toshihiro Wada, Tomoki Takegami, Yebin Wang, Taesic Kim, and Zafer Sahinoglu, “ Rechargeable battery parameter estimation apparatus and rechargeable battery parameter estimation method for calculating first and second coefficients which are partial derivatives of an estimated value of the battery state-of-charge,” U. S. patent: 10,353,007 B2, July 16, 2019.

2. Wei Qiao, Taesic Kim, and Lyan Qu, “Rechargeable multicell battery,” U.S. patent: 2019/0245237 A1, August 08, 2019.

Ph.D. Dissertation:

T. Kim, “Model-based condition monitoring and power management for rechargeable electrochemical batteries,” Department of Computer Science and Engineering, University of Nebraska-Lincoln, May 2015. (Advisor: Dr. Wei Qiao and Dr. Liyan Qu)

M.S. Thesis:

T. Kim, “Hybrid battery model capable of capturing dynamic circuit characteristics and nonlinear capacity effects,” Department of Electrical Engineering, University of Nebraska-Lincoln, Aug. 2012. (First Prize Award in IEEE Industry Applications Society Thesis Competition, Advisor: Dr. Wei Qiao)