Develop Battery State Estimation Algorithms for BMS in Simulink
| Start Time | End Time |
|---|---|
| 19 Nov 2025, 9:00 AM EST | 19 Nov 2025, 10:00 AM EST |
| 19 Nov 2025, 2:00 PM EST | 19 Nov 2025, 3:00 PM EST |
Overview
MathWorks engineers will demonstrate how to design and test a battery management system (BMS) using Simulink and Simscape Battery. We will demonstrate how to:
- Estimate battery state of charge
- Estimate battery state of health
- Estimate battery state of power
- Build detailed battery pack models
- Systematically test BMS algorithms and conduct model-in-the-loop (MIL) testing
Please allow approximately 45 minutes to attend the presentation and Q&A session. We will be recording this webinar, so if you can't make it for the live broadcast, register and we will send you a link to watch it on-demand.
About the Presenters
Danielle Chu is a product manager at MathWorks supporting the Simscape product family and specializing in power electronics and battery systems. Prior to joining MathWorks, Danielle was at John Deere for 7 years, involved in developing power electronics control systems. She received her PhD in electrical engineering from the University of South Carolina and her MS in electrical engineering from Mississippi State University.
Xiangchun Zhang is an application engineer at MathWorks, specializing in battery modeling and Battery Management System (BMS) algorithm design. He began his research on Li-ion batteries in 2005 during his doctoral studies, where he focused on the multiscale modeling of Li-ion cells, including mechanics, heat generation, and electrochemical kinetics. Over nearly two decades, he has contributed to both academic and industrial battery R&D, including solid-state battery development at Dyson. His work on batteries has been cited thousands of times. Zhang holds BS and MS degrees in engineering from Tsinghua University in Beijing, China, and a PhD in Mechanical Engineering from the University of Michigan, Ann Arbor.
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