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Ansys at Global EV Battery Technologies & Management Systems 2022

We help you push the limits

Ansys helps you advance battery designs while balancing safety, performance, size, cost and reliability to make you the market leader. With our help, reduce project costs by up to 30% and design cycle time by up to 50%.

Date:
March 22 -23, 2022

Venue:
Online


Accurate & Fast Battery Modeling

We understand the complexity with battery design. Every design choice requires complex decisions, requiring trade-offs for optimum performance. Ansys Multiphysics battery simulation solutions bring together interdisciplinary expertise at different scales. Supporting applications such as:

  • Battery Management Systems 
    Integrated solution for BMS design and development for risk-free virtual testing.

  • Battery Structural Reliability 
    Optimize housing designs and reinforcements for safer batteries.

  • Battery Thermal Management 
    Simulate thermal performance for effective cooling, enhancing performance and improving safety.

  • Battery EMI/EMC 
    Seamlessly combine frequency and time domain simulation for enhanced optimization.

Ansys Presentation

Optimized Battery Management Solutions through Simulation

Time: March 22, 2022, 10:20AM - 11:00AM EST

Speaker: Rolf Reinelt (Lead Application Engineer)  

Dr. Reinelt was born in Berlin and studied Aeronautics at TU Berlin and Cranfield Institute of Technology before gaining a PhD from TU München. Dr. Reinelt joined Ansys in 2002 based out of Germany in Darmstadt and is currently a Lead Application Engineer focusing on Battery Management.

During this session, hear how introducing new processes and workflows using engineering simulation tools can optimize, validate and increase efficiency of your Battery Management System (BMS). Discover:

  • The use of a cell selection tool to design a more efficient battery based on existing cells.
  •  Workflows to calculate thermal fields within battery modules and packs to better manage the thermal properties of the battery.
  • How deriving Reduced Order Models (ROM) of the thermal behavior of the battery pack directly from a 3D field simulation causes system simulation of drive cycles to become more efficient.
  • Why Model-based system engineering and software development provides huge advantages for testing, code quality and optimization. And how designing the BMS software using this method allows for qualified C code consistent with the model, enabling a smooth integration with BMS system simulation.
  • The impact on the battery pack through structural and impact analysis, including adopting a new approach to thermal runaway to ensure vehicle and passenger safety.