Measuring the Performance of Electrochemical Devices in COMSOL^®

Name: Measuring the Performance of Electrochemical Devices in COMSOL®
Uploaded: 2019-04-22 20:14:08
Duration: 59 min 54 s
Description: Learn how to use COMSOL Multiphysics® for measuring the performance of electrochemical devices. Watch the archived webinar here.

时长： 59:54

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Watch this archived webinar to learn about using the COMSOL Multiphysics^® software to measure and optimize electrochemical device performance.

Guest speaker Edmund Dickinson of the National Physical Laboratory discusses simulating electrochemical impedance spectroscopy (EIS) in test cells in order to characterize battery materials. In addition, he talks about deploying the Newman model in 2D and 3D geometries and shows how EIS measurement is affected by the geometric configuration.

Tip: Browse for upcoming live webinars here.

章节选择

Introduction (0:00) Agenda (1:53) COMSOL Multiphysics^® (2:20) COMSOL Approach to Coupled Physics (3:39) General Physics Interfaces (4:19) Application-Specific Interfaces (5:06) Measuring and Optimising Electrochemical Device Performance with Simulation (6:09) Introduction to NPL (7:37) NPL Electrochemistry (9:08) Why model? (10:52) Example of an electrochemical device: “traditional” Li-ion battery (13:17) Example of a measurement technique: electrochemical impedance spectroscopy (EIS) (15:50) Typical battery EIS features (17:15) Electrochemical impedance spectroscopy (EIS) (18:39) Three-electrode EIS (19:22) Methods for understanding three-electrode EIS (21:33) EIS cell: schematic geometry (22:16) Example of geometric variation: reference electrode position and size (23:40) Some preliminary results (24:42) Chemical asymmetry: state-of-charge (SOC) (26:15) Modeling batteries: the Newman model (29:43) General approach to modeling impedance (30:48) Challenges: variable geometry (32:03) Taking the edge off inordinate data output: manual solver settings (39:20) Challenge: parametric study with extensive customised solver sequence (41:37) Challenges: full frequency-domain solution of Newman model (44:56) Mixed numerical-analytical model: lowers dimension (45:48) Implementation: user-defined equations (46:43) Conclusions (47:51) Q&A (48:53) Further Resources (58:38) Contact Us (59:07)