Battery Modeling and Algorithm Development with Simulink

This two-day course focuses on modeling battery packs using Simscape^™and designing key control functionalities of battery management system using Stateflow^®. Topics include:

Perform cell characterization
Modeling battery packs
Adding thermal fidelity to battery models
Design supervisory control logic for battery operation
Perform State-Of-Charge estimation and cell balancing
Compute current limits and design fault diagnostic system
Closed-loop simulation of battery pack with battery management system

See detailed course outline

Prerequisites

Fundamental knowledge of Simulink, Stateflow and Simscape.

Day 1 of 2
Getting Started with a Battery Cell	Objective:Define terms used in a battery component. Construct a charging circuit to simulate the CC-CV charging of the cell. Define battery terms (cell capacity, C-rate, open circuit voltage) Model battery characteristics using the Battery(table-based) block Construct charge and discharge circuit with Simscape^™
Cell Characterization	Objective:Analyze the equivalent circuit model of a cell. Perform characterization of a given cell. Equivalent circuit model of a Battery block Overview of parameter estimation Perform cell characterization
Battery Pack Modeling	Objective:Connect characterized cells in series configuration to create battery packs. Create thermal environment to perform multi-domain system level simulation Create battery modules Model cell degradation and cell inconsistencies Model cell thermal effects using Simscape^™ Add thermal fidelity to the battery module

Day 2 of 2
Battery Management System	Objective:Introduction to battery management system. Develop supervisory control scheme for efficient and safe battery pack operation. Overview of a battery management system Design requirements and constraints Design Stateflow^®logic to charge a cell using CC-CV control scheme Design supervisory control logic of battery management system using Stateflow^® Create test scenarios for battery management system using Simulink Test^™
State of Charge Estimation	Objective:Estimate state of charge (SoC) of a cell. Balance charge levels using a passive cell balancing scheme. Estimate the cell's state of charge using coulomb counting Estimate the cell's state of charge using extended Kalman Filter Implement a passive cell balancing network using Simscape^™and Stateflow^®
Fault Monitoring and Current Limit Computation	Objective:Compute battery pack's charging and discharging current limits that satisfy design constraints and detect faults during pack operation. Detect over-voltage/over-current, short circuit, under-voltage/under-current faults during battery operation Compute current limits for host application Closed-loop simulation of battery pack with battery management system
Appendix A: Kalman Filter and Extended Kalman Filter	Objective:Use Kalman Filter and Extended Kalman filter blocks from Control System Toolbox^™library to perform state estimation. Estimate states of discrete-time or continuous-time linear system using Kalman filter Estimate states of discrete-time nonlinear system using extended Kalman filter

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Tipo de formato

1Clase virtual

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1Inglés

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Garantizado

Cuando se inscriba en alguno de estos cursos, tendrá la seguridad de que no serán cancelados ni se cambiarán las fechas por ningún motivo.

Calendario de cursos

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Fechas	Ubicación	Idioma	Precio	Inscripción
17 may 2022- 18 may 2022	Virtual 9:00 am - 5:00 pm Hora Estándar de India	Inglés	USD 1,500

Resultados 1 - 1 de 1

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