ATCx E-Powertrain - Battery Panel Discussion
A recording of the battery development panel discussion as part of the ATCx Electric Powertrain virtual event in March 2021. The panel features insight from Dr. Anna Wise, Head of Battery Technology at Innovate UK; Martin Kemp, Regional Manager at Altair; Dr. Denis Cumming, Senior Lecturer at The University of Sheffield; John Milios, CEO at Sendyne; Dr. Gregory Offer, Reader at Imperial College London; and Prof. Jun Xu, Director of Vehicle Energy & Safety Laboratory at The University of North Carolina.
Battery Part 1: Developing Predictive Electro Thermal Cell Models for Pack Level Deployment
Martin Kemp, Regional Manager at Altair, Dr. Denis Cumming, a Senior Lecturer at The University of Sheffield, John Milios, CEO at Sendyne, Dr. Gregory Offer, Reader at Imperial College London and finally Professor Jun Xu, Director of Vehicle Energy & Safety Laboratory at The University of North Carolina, present - Developing Predictive Electro Thermal Cell Models for Pack Level Deployment.
This presentation will focus on the simulation of the battery cell to represent its complex thermal and mechanical behaviour. The thermal behaviour requires the simulation of the electric behaviour within the cell which leads to the generation of heat. Managing the thermal behaviour is fundamental to the long term health of the battery. The talk provides an overview of the technologies used to simulate battery behaviour, commencing with the understanding of the battery structure including the simulation of electrode manufacture. Both electrochemical and equivalent circuit models will be discussed with the advantages and disadvantages of both methods presented. Finally, machine learning technology is used to create an intelligent cell model which retains accuracy whilst delivering computational efficiency which can be used in Part 2.
Physics-based Cell and Pack Models for System Simulation
Sendyne, part of the Altair Partner Alliance, provides a virtual, physics-based battery model called CellMod Virtual Battery for real-time co-simulation for individual cells and packs. This presentation provides a brief overview of the battery model and benefits as well as an example of system simulation using Altair Activate using the Functional Mock-up Interface standard for co-simulation.
Introduction to CellMod FMU by Sendyne
Sendyne’s CellMod™ FMU is the first physics-based virtual battery software that will simulate battery behavior under any condition with an accuracy better than 97%.
This technical webinar is addressed to battery systems designers who want to understand the advantages of using an electrochemical and physics based battery model for their system design and validation.
CellMod™ FMU User Documentation
Documentation for CellMod FMU, BasicPackMod FMU and CellMod Lite FMU
Top Use Cases CellMod FMU
CellMod™ Virtual Battery is the first Li-Ion virtual battery capable of predicting cell and pack behavior, including thermal behavior, with an accuracy of better than 97%.
Technical Papers, Use Cases
Quick video showcasing CellMod FMU inside Altair Activate
CellMod FMU is the first Li-Ion virtual battery capable of predicting cell and pack behavior. This quick video demonstrates how CellMod FMU integrates with Altair Activate.
CellMod FMU Product Brief
CellMod FMU is the first Li-Ion virtual battery capable of predicting cell and pack behavior. Read the product brief for a complete over of CellMod FMU.
e-Mobility Development Webinar Series
The electric mobility revolution is ready to go mainstream.
OEMs, suppliers, and emerging vehicle manufacturers are investing billions to develop innovative electric vehicles and optimize development and production processes to deliver e-mobility to the masses. In these presentations, learn how Altair works with the world’s leading manufacturers and suppliers to accelerate product development, enhance energy efficiency, and optimize integrated system performance.
A CAE based approach for SnR Detection and Prevention
This webinar provides an overview of a typical CAE based approach for SnR detection and prevention and demonstrates how this is achieved through a Risk and Root Cause analysis in Altair Squeak and Rattle Director. We will also discuss how to increase the complexity and fidelity of the model with the progression of development, and the importance of exploring multiple loading scenarios. Throughout the entire process, structural optimization is there as a helpful tool to find solutions to the problems we encounter on the way or even prevent them from the start.
SnR Prevention Start at Concept and Design Phase
If you are a designer, Squeak and Rattle test engineer or a maybe just a beginner to the SnR Analysis world, this presentation is for you. We will showcase how you can benefit from simulation as early as the concept design phase by performing a CAD based modal analysis combined with a material compatibility analysis, and perform a Screening Risk Assessment which provides upfront results using a streamlined and easy-to-use workflow in Squeak and Rattle Director. Webinars,Squeak and Rattle Director,Automotive,Structures,Corporate,HyperWorks