The process of engineering battery management system (BMS) control software is a complex activity that must produce a balance between immediate battery power performance and long duration safe operation. Robust algorithms are needed to accurately determine battery states to ensure reliable information on available energy and power levels and the life of the battery. Developing underlying algorithms directly on a hardware battery prototype is time-consuming, prone to errors, and introduces safety fail-points. The model-based design (MBD) framework provides a mechanism to reuse test scenarios at different stages of development and operating conditions to ensure the safe operation of the battery.
In this webinar, we’ll explain how to set up an MBD framework to develop and test the BMS algorithms on a virtual battery pack. It will highlight how advanced optimal control techniques enhance battery performance, how engineers can reuse the virtual battery pack during different development stages using different test environments (e.g., MIL, SIL, and HIL) and how to reuse test scenarios at different stages of development.
You will learn:
Global Business Development Manager - MBSE Control
Ammon has 30+ years of engineering experience in new product development in Automotive, Transportation, Medical Devices, Aerospace and Defense. Works with Systems Engineering, Embedded Software and Controls. BSME, MSEE, Professional Certificate Systems Engineering