ABOUT THE WORKSHOP

Workshop focuses on modeling frameworks for battery technologies at multiple length scales coupled with thermal, electrochemical and lifetime models; This workshop will provide the participants with insight to varies types of modeling techniques and their application for process and cost optimization.

 

 Workshop is designed for

▪ New technology startups
▪ AI/ML enthusiasts
▪ Battery designers
▪ Energy storage/Power R&D engineers
▪ Energy storage supplier
▪ Academic researchers
▪ Automotive industry manager
▪ Other industry member

 

KEY BENEFITS 

 
▪ Introduction to key modeling techniques for battery applications
▪ Guidelines on model to design battery
▪ Learning process optimization through modeling
▪ Application of machine learning and artificial intelligence in battery technology
 

Contact

For any questions, contact us at contact@abeegroup.com

Registration deadline is 04/01/2021

Registration fee: Industrial: € 1,000 + VAT, Academic: € 750 + VAT, Online participation: € 500 + VAT

10% discount for two (2) group attendees. The number of participants is limited. The registration fee includes hard copy print out of all workshop presentations, lunch, refreshments and excludes dinner.

Registration is open through the following link

Program topics:

Technology overview – Cell design – Modelling techniques (Cell ↣ module ↣ pack) – Multiphysics & Thermal model – Data driven techniques – System modelling – Optimization – State of health – Hands-on.

Workshop Highlights
An opportunity to learn, extend your expertise and implement your knowledge to design novel battery models, to be safe and more efficient for next generation batteries.

Schedule          Day 1: Program agenda

8:30 – 8:45          Registration desk

8:45 – 9:00          Welcome note

9:00 – 9:45          Equivalent circuit model

9:45 – 10:30        Multi-physics model

10:30 – 10:45      Coffee break & networking

10:45 – 11:30      Lifetime modeling – Calendar fading and cycle fading

11:30 – 12:15      Extrapolation techniques and sensitivity analysis

12:15 – 1:00        Lunch

1:00 – 1:30          Introduction to software (Hands-on)

1:30 – 2:45          Building up an ECM model: Parameter extraction

2:45 – 3:00          Coffee break & networking

3:00 – 4:15          Battery lifetime model: State of health

4:15 – 4:45          Summary & conclusions

                              Day 2: Program agenda

8:30 – 8:45          Coffee & Refreshment

8:45 – 9:30          1D & 3D thermal modeling cell to module and pack level

9:30 – 10:30        Thermal management system modeling (active & passive cooling)

10:30 – 10:45      Coffee break & networking

10:45 – 11:30      Recent advances with data-driven approach

11:30 – 12:15      Material discovery for next-generation battery materials

12:15 – 1:00        Lunch

1:00 – 1:30          Introduction to software (Hands-on)

1:30 – 2:45          How to estimate battery performance by multiphysics model?

2:45 – 3:00          Coffee break & networking

3:00 – 4:15           How to optimize battery operating conditions by thermal model?

4:15 – 4:45           Wrap-up (Summary & conclusions)

Destination: Ransbeekstraat 310, 1120 Brussels