Web seminar on "Estimation of Battery Remaining Capacity and Degradation" held on December 15.

BMS technology essential for EVs, HEVs, PHEVs, and energy storage systems. Battery modeling using MATLAB, SOC and SOH estimation, degradation diagnosis, and lifespan prediction.

■Title: "Explanation of Remaining Capacity and Degradation Estimation Techniques for Optimal Management of Lithium-Ion Batteries" ――This seminar explains the essential techniques for estimating remaining capacity and diagnosing degradation for the optimal management of lithium-ion batteries. Participants will learn the fundamentals and practical technologies of Battery Management Systems (BMS), from modeling the battery's equivalent circuit to high-precision remaining capacity estimation using Kalman filters, degradation diagnosis using Recursive Least Squares (RLS), and simulation and implementation using MATLAB. 【Knowledge Gained from the Seminar】 - Basic characteristics and operating principles of lithium-ion batteries - Electrical characteristics of storage batteries and equivalent circuit models - Extraction of equivalent circuit models using Nyquist plots - Battery simulation using MATLAB - High-precision remaining capacity estimation using Kalman filters - Degradation mechanisms of storage batteries and their modeling - Degradation diagnosis using Recursive Least Squares (RLS) - Latest technologies for predicting the lifespan of storage batteries 【Target Audience for the Seminar】 - Researchers and developers involved in lithium-ion batteries and storage systems - Engineers working on Battery Management Systems (BMS) - Individuals involved in remaining capacity estimation and degradation diagnosis of batteries - Beginners and young engineers interested in battery simulation and the use of MATLAB

Lithium-ion batteryElectrical equipment partsTechnical Seminar