Battery State-of-Charge Estimation | Simscape Battery Essentials, Part 5

Simscape Battery™, a new product in R2022b, has been developed to provide a technology development framework that is assembled specifically to create a bridge between battery cell and battery system. The bridge directly supports upskilling as well as design exploration and design rigor, meaning you can navigate the battery system technology development cycle rapidly and with confidence. You will learn how to: Connect a battery cell with a Kalman filter state-of-charge estimator. Simulate different Kalman filter types for a given charge-discharge cycle. Compare the state-of-charge estimations using the Simulation Data Inspector. Watch the full series:    • Simscape Battery Essentials   Learn more about Simscape Battery:    • What is Simscape Battery™? | Product Overview   Additional Resources: Explore online courses: Circuit Simulation Onramp: https://bit.ly/3HUCnFS Get started: Simscape Battery: https://bit.ly/3BWXzaz Read white paper: Developing Battery Management Systems with Simulink and Model-Based Design: https://bit.ly/3VaFb6t Watch videos: How to Develop Battery Management Systems in Simulink: https://bit.ly/3S09CJL Watch videos: How to Estimate Battery State of Charge Using Deep Learning: https://bit.ly/3ZINTLP Watch videos: Verifying, Validating, and Testing Battery Management Systems: https://bit.ly/3UoWTlE -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2022 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.