Design and Test Lithium Ion Battery Management Algorithms

Versión 2.0.3 (35,1 MB) por Chirag
This example project can be used as a reference design to get started with designing Battery Management System with MATLAB and Simulink.
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Actualizado 12 dic 2023

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This example project can be used as a reference design to get started with designing Lithium Ion Battery Management System (BMS) with MATLAB and Simulink.
Project includes Simulink models for BMS Algorithms such as:
1. State of Charge estimation using Extended Kalman Filter, Unscented Kalman Filter
2. Passive Battery Cell Balancing
3. State Machine for Pre-charging and Contactor Management
4. Fault Management - Over/Under Voltage, Over Current, Over Temperature etc.
5. Charge and Discharge Current Limit Calculations
To design and test these algorithms, project also includes files for
1. Li-ion Battery Cell Parameter Estimation
2. Battery Pack with 6 cells in series and 96 cells in series
3. Simulink Test files with test cases to test State Machine Logic
4. Linking requirements to Models

Citar como

Chirag (2024). Design and Test Lithium Ion Battery Management Algorithms (https://www.mathworks.com/matlabcentral/fileexchange/72865-design-and-test-lithium-ion-battery-management-algorithms), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2022b
Compatible con cualquier versión desde R2019a
Compatibilidad con las plataformas
Windows macOS Linux

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CellParamEst

Controller

Data_Scripts

DesignBatteryPack

Doc/utilities

CellParamEst

Controller

DesignBatteryPack

FaultManagement

Plant

Tests/ContactorMgmt

Tests/FaultDetection

Tests/StateMachine

Tests/System

DesignBatteryPack

Doc/liveScripts

Versión Publicado Notas de la versión
2.0.3

Added Simscape Battery as Required MathWorks Products
2.0.2

Updated Project files with fixes to BatteryPackDesignScript.mlx
Updated documentation files (.mlx and .html)
2.0.1

Fixed Bug in the BatteryPackDesignScript.mlx
Updated Documentation (live scripts and html files)
2.0.0

Update to R2022b
Added Fault Management
Added SOC Estimation using Deep Neural Network
Simplified State Machine
Removed additional data files
1.0.6

Added R2020a Version
1.0.5

Default Configuration for Battery Pack Changed to 6 - Cells.
Updated Test Harness for State Machine Software Component

1.0.4

Updated Required MathWorks Products
1.0.3

Removed Extra Files
1.0.2

Download file is now .zip folder instead of MATLAB project package.

1.0.1

Changed Description
1.0.0