An accurate battery pack model is essential for hardware in-the-loop testing of Battery Management System (BMS). In this webinar, MathWorks engineers will demonstrate how to scale battery models from cell-level to pack-level and the subsequent preparation of the battery pack model for real-time simulation. A MATLAB function creates a battery pack model of arbitrary size and connectivity. The function partitions the model for concurrent execution on multicore real-time computers. The flexibility of scripting the creation of pack models allows the user to efficiently test multiple configurations for optimal utilization of multicore targets, including load balance, data transfer latencies, and scheduler overhead.

Using live demonstrations, MathWorks engineers will show how you can use MATLAB and Simulink tools to:

• Automatically assemble a battery pack model from cell models
• Tradeoff model partition methods for real-time simulation
• Estimate processor load for each partition using a PC
• Deploy battery pack model to HIL system for BMS testing
  

Javier Gazzarri is a senior application engineer at MathWorks in Novi, Michigan, focusing on the use of physical modeling tools as an integral part of Model-Based Design. Much of his work gravitates around battery modeling, from cell level to system level; parameter estimation for model correlation; battery management system design; cell balancing; aging; and state-of-charge estimation. Before joining MathWorks, Javier worked on fuel cell modeling at the National Research Council of Canada in Vancouver, British Columbia. He received a bachelor’s degree in mechanical engineering from the University of Buenos Aires (Argentina) and M.A.Sc. (inverse methods applied to surface sensor design) and Ph.D. (solid oxide fuel cell degradation modeling) degrees from the University of British Columbia (Canada).