[TC Webinar] Battery Management Systems for Electric Vehicle Applications
Thursday 27 November 2025 at 6:30 PM IST, 2:00 PM CET, 8:00 AM EDT
By Kalpana R (Department of Electrical and Electronics Engineering, National Institute of Technology Karnataka (NITK), Mangalore, India)
Register now using the link below:
https://attendee.gotowebinar.com/register/7773976468498286171
Abstract:
Lithium-ion batteries play a vital role in renewable energy systems and electric vehicles, offering a reliable and efficient means of storing energy. However, these batteries are sensitive to operating conditions, and factors such as overcharging, deep discharging, and extreme temperatures can accelerate their degradation. To mitigate these effects and ensure optimal performance, a sophisticated battery management system (BMS) is essential. The primary function of a BMS is to monitor critical parameters like voltage, current, and temperature, protecting the battery from damage and estimating its state of charge (SoC) and state of health (SoH). An accurate online coulomb counting method is crucial for estimating the SoH of lithium-ion cells, particularly in battery-integrated electric vehicles. Knowing the SoH in advance enhances system reliability and enables proactive maintenance.
Mathematical modeling of lithium iron phosphate (LFP) batteries is also vital for understanding their runtime characteristics and aging behavior. By accounting for the impact of operating temperature and depth of discharge on battery aging, these models can provide valuable insights into battery performance and lifespan. Furthermore, a dedicated BMS is necessary for equalizing the voltage or SoC of serially connected cells in a stack, ensuring that each cell operates within a safe and optimal range.
This webinar proposes to present a modularized two-stage active cell balancing topology utilizing an improved buck-boost converter for series-connected lithium-ion battery strings. The voltage monitoring circuit controls switches to balance cell voltages by transferring charge from a source cell to a target cell. This approach enables module-to-module balancing through a module equalizer while simultaneously targeting two cells within a module through a cell equalizer. By combining cell and module balancing, the balancing time is significantly reduced compared to performing cell balancing alone under dynamic charging and discharging conditions. This methodology substantially reduces cell equalization time and enhances system performance with minimal components for a five-module battery string under static and dynamic conditions.
The focus of this webinar will be on LFP cells’ state estimation and active cell balancing techniques, providing a comprehensive overview of the latest advancements in BMS technology. By exploring the intricacies of battery management and balancing, audience shall gain a deeper understanding of the complex interactions between battery cells and the importance of sophisticated BMS in optimizing their performance.
Presenter’s bio:
Kalpana R (Senior Member, IEEE) received her B.E. degree in Electrical and Electronics Engineering and Master’s degree in Power Systems from Anna University, Chennai, India, and Ph.D. degree in Electrical Engineering from Indian Institute of Technology Delhi, New Delhi, India. She is presently working as an Associate Professor in the Department of Electrical and Electronics Engineering, National Institute of Technology Karnataka (NITK), Mangalore, India. She has published 30 journal/transactions papers, 60 conference papers and holds three Indian patents and filed two Indian patents. She has received awards and recognitions for her research contributions, including the IEEE WinTechCon Award – Faculty Member Category (2024), VGST-ARP (2023), PPSA POSCO 2019 Award, IETE Best Research Award (2018), and Best Paper Awards in IEEE Conferences. She has been elected as IEEE IAS Member at Large Executive Board Member 2025-26. Her research areas include Power Conditioning and Monitoring, Electric Vehicle Chargers, and Battery Management Systems for EV applications. She is a highly dedicated and active member of the IEEE community.