Online Training: Electrochemistry & Batteries Modeling (4 Days)

Jul 14 - Jul 17, 2020 11:00 AM - 4:30 PM

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If you want to learn how to model electrochemical problems in general, or batteries in particular, this is the course for you.

During Block 1, you will get an introduction to the theory and applications of the Electrochemistry Module and electrochemistry modeling in general. We will describe in detail the coupling between electric potential in the electrode, electrolyte, and electrode kinetics as well as the ability to combine multiple electrode reactions on one and the same electrode. In addition, we will investigate the effects of chemical species transport on the electrochemical reaction kinetics. During the training exercises, you will learn how to account for ohmic, activation, and concentration overpotential. You will also understand how simulations can predict the effects of electrode geometry, catalytic activity, material properties, and operating conditions on the performance of electrochemical cells. We will also have a look at porous electrodes, deposition/dissolution of electrodes, as well as electrochemical impedance spectroscopy (EIS).

Block 2 of the course focuses on the modeling of batteries and the functionality of the Batteries & Fuel Cells Module. We will look at a whole range of battery modeling approaches: heterogenous, homogenized (Newman-P2D), and lumped/equivalent circuit approaches. These models can be used for performance modeling as well as aging (capacity fade). Thermal (heat transfer) modeling coupled to electrochemistry and the parameter estimation of electrochemical models will also be covered in Block 2.

Day 1 (Block 1)

11 a.m.–1:30 p.m. EDT

  • Charge transport
  • Electrode kinetics
  • Mass transport in liquids and convective flow
  • Current distributions
  • Solving electrochemical models

1:30–4 p.m. EDT

  • Exercise (offline)

4–4:30 p.m. EDT

  • Q&A

Day 2

11 a.m.–1:30 p.m. EDT

  • Dissolving-depositing electrodes
  • Porous electrodes
  • Flow in porous media
  • Gas phase mass transport
  • Fuel cell modeling
  • Electrochemical impedance spectroscopy (EIS)

1:30–4 p.m. EDT

  • Exercise (offline)

4–4:30 p.m. EDT

  • Q&A

Day 3 (Block 2)

11 a.m.–1:30 p.m. EDT

  • Heterogeneous battery modeling
  • The Doyle-Fuller-Newman (P2D) model for lithium-ion batteries
  • Simulation of charge and discharge cycles
  • Battery aging and capacity fade

1:30–4 p.m. EDT

  • Exercise (offline)

4–4:30 p.m. EDT

  • Q&A

Day 4

11 a.m.–1:30 p.m. EDT

  • Single-particle, lumped, and equivalent circuit models
  • Parameter estimation
  • Thermal effects in electrochemical cells
  • Battery abuse modeling

1:30–4 p.m. EDT

  • Exercise (offline)

4–4:30 p.m. EDT

  • Q&A

Some or all of the above topics will be considered according to the length of the course and the interests of the participants.

Suggested Background

This course assumes familiarity with the fundamentals of electrochemistry. We strongly recommend that those new to COMSOL Multiphysics® take the COMSOL Multiphysics® Intensive course prior to attending this class.

Pricing & Payment Methods

The price for this course is $595 per person.

  • We offer an academic discount to those who qualify. The academic rate for this course is $445.

We accept payment by credit card, company purchase order, check, wire, or direct deposit. For security purposes, please do not send credit card information via email. COMSOL will contact you by phone to confirm the payment information.

Mail payments or purchase orders to:

COMSOL, Inc.
100 District Avenue
Burlington, MA 01803

Fax purchase orders to:

COMSOL, Inc.
ATTN: Training
781-273-3322

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Please review our course cancellation/return policies. For additional information, please email info@comsol.com.

Register for Online Training: Electrochemistry & Batteries Modeling (4 Days)

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Training Course Details

Speaker

Shruti Srivastav
COMSOL

Shruti Srivastav joined COMSOL AB as a technology specialist in 2016. She has a PhD in theoretical electrochemistry. Her work includes analytical and numerical methods of solving theoretical aspects at disordered electrochemical Ă­nterfaces. She has used FEM to understand interfacial phenomena in Li-ion batteries and energy storage systems.