webinar

Mastering Thermal Runaway: Simulation and Mitigation Strategies for Battery Safety

Date: March 20, 2024

Timetable: 11:00-12:00 a.m. CET time

Speaker/s: Marcello Bruno (EnginSoft), Prajakta Sabnis (oorja)

Language: English

Thermal runaway (TR) is a self-accelerating exothermic reaction that increases temperature and pressure in a battery, leading to catastrophic failure or fire. Join our upcoming webinar to understand how to quickly simulate and mitigate thermal runaway in various battery packs, a critical challenge, for example, for the EV industry. Leveraging a hybrid approach to battery pack design technology, participants will gain insights into accurately simulating TR initiation, its propagation speed, and designing effective mitigation strategies to prevent battery fires at the design stage.

During this webinar, we will also discuss how the hybrid approach (combining physics and ML) enables users to simulate the spread of TR across the pack and immediately predict self-heating at the cell level, leading to explosions and early detection of TR events.

Topic Area

  • Thermal Runaway
  • EV industry
  • Hybrid approach
  • Thermal Runaway propagation speed
  • Thermal Runaway detection
  • TR mitigation strategies

Registration Procedure

This event is free of charge: registration is required to attend.

It uses a web platform that does not require local software installation. You can join the session via: Mac, PC, or any mobile device.

Registered participants will receive the link and credentials to participate at the email address provided during registration.

You can ask questions and participate in the discussion via the chat function in the web platform.

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Find out more

software

oorja

Innovative digital platform for the development and modeling of Li-ion batteries, which simulates, predicts and optimizes their behavior

oorja, an innovative digital platform for Li-ion battery development and modeling, which uses a hybrid approach: ease to use and accuracy to predictions.

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CASE STUDY

Battery modelling and the Goldilocks zone

The article discusses the importance of understanding the behaviour and performance of batteries under different operating conditions, particularly in the context of large-scale adoption of batteries. The hybrid approach has successfully identified the Goldilocks Zone for electrochemical parameters and provides a good match between predicted and experimental data.

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