Future trends in battery management systems for next-generation EV battery packsUnderstand the current scenario and future projections of BMS development from a global perspective of high energy density and fast charging battery development trends for electric vehicles.Exploring machine learning and artificial intelligence for the intelligent batteryDiscover the latest breakthroughs in BMS engineering using machine learning and AI algorithms for better optimization of battery parameters for longer and safer battery operation.Latest research in battery topology for improving safety, durability, and efficiencyEvaluate innovations in mapping battery topology to accurately access the deterioration of the battery’s state of health by aging and cycling.Case studies on Electrochemical Impedance Spectroscopy (EIS) in electric vehiclesCase studies on Electrochemical Impedance Spectroscopy (EIS) in EVs to complement the current BMS data-driven algorithms with an additional sensor fusion for accurate SOH assessment.Evaluating the features of the architecture of distributed, modular, and centralized BMS architectureGain insights into various BMS architectures, such as distributed, modular, and centralized BMS, and learn their benefits and limitations regarding hardware, wiring costs, and functional redundancy in its application.Upcoming regulations and safety standards for battery management systemsHear from key regulators and governing bodies on lithium-ion battery safety, especially on fire hazards caused by inferior design of the BMS.