July 22 Lithium-ion Battery Remaining Charge and Degradation Estimation Webinar

Explaining the basics of BMS to remaining capacity and degradation estimation. Learn about modeling with MATLAB and its application to EVs, HEVs, and PHEVs.

■Title "Explanation of Remaining Capacity and Degradation Estimation Techniques for Optimal Management of Lithium-Ion Batteries: Focusing on Operating Principles, Modeling, and Control Methods from the Perspectives of Different Batteries and Applications in EVs, HEVs, and PHEVs" High performance and long lifespan of lithium-ion batteries require highly accurate estimation of remaining capacity (SOC) and degradation state (SOH). This seminar will systematically explain the operating principles of lithium-ion batteries, modeling using equivalent circuit models, the basic structure of Battery Management Systems (BMS), remaining capacity estimation using Kalman filters, and degradation diagnosis using Recursive Least Squares (RLS). Additionally, simulation methods using MATLAB, application examples in EVs, HEVs, and PHEVs, and the latest lifespan prediction technologies will also be introduced. 【Knowledge Gained from the Seminar】 - Basic characteristics of lithium-ion batteries - Fundamentals of battery modeling and BMS - SOC and SOH estimation techniques - Degradation diagnosis and lifespan prediction methods 【Target Audience】 Beginners, young engineers, and those involved in research, development, and design related to batteries, EVs, and energy management.

Secondary Cells/BatteriesElectrical equipment partsTechnical Seminar