Education
- Ph.D., Electrical Engineering, McMaster University, 2008
Research Interests
- Battery Management Systems
- Human Machine Systems
- Signal processing
- Machine learning
- Information fusion
Professional Affiliations
- Professional Engineer of Ontario
- Senior Member, Institute of Electrical and Electronics Engineering (IEEE)
- Member, International Society of Information Fusion (ISIF)
Selected Publications
- B. Balasingam, Robust Battery Management Systems With Matlab, Artech House, Norwood, MA, June 2023. ISBN: 9781630819521.
- P. Kumar, S. Sundaresan, and B. Balasingam, "Theoretical Performance Evaluation of Battery Equivalent Circuit Model Parameter Estimators," IEEE Journal of Emerging and Selected Topics in Industrial Electronics, Oct. 2023, doi:10.1109/JESTIE.2023.3342717.
- P. Pillai, J. Nguyen, and B. Balasingam, "Performance Analysis of Empirical Open-Circuit Voltage Modeling of Li-ion Batteries, Part-3: Experimental Results," IEEE Transactions on Transportation Electrification, Dec. 2023, doi:10.1109/TTE.2023.3341695.
- P. Pillai, K. R. Pattipati, and B. Balasingam, "Robust Extended Kalman Filtering for State of Charge Estimation in Batteries: Modelling, Implementation and Performance Monitoring," IEEE Journal of Emerging and Selected Topics in Industrial Electronics, Aug. 2023, doi:10.1109/JESTIE.2023.3339429.
- P. Pillai, B. Balasingam, Y. K. Hoon, C. Lee, and F. Biondi, "Eye-gaze metrics for cognitive load detection on a driving simulator," IEE/ASME Transactions on Mechatronics, Jan. 2022, doi:10.1109.TMECH.2022.3175774.
- K. Movassagh, A. Raihan, B. Balasingam, and K.R. Pattipati, "A critical look at Coulomb counting method for state of charge estimation in rechargeable batteries," Energies, July 2021, doi:10.3390/en14144074.
Website