Battery Management System Development in Simulink
Model and simulate algorithms for a battery management system (BMS) using Simulink® and Stateflow®, including:
- Supervisory logic
- Monitoring current, voltage, and temperature
- State-of-charge (SOC) estimation
- Limiting power input and output for thermal, overcharge, and overdischarge protection
- Charging profile control
- Passive balancing
- Battery pack isolation from the load
- State of charge is estimated using coulomb counting, Extended Kalman Filter, and Unscented Kalman Filter.
The BMS algorithms are verified against a battery pack developed with Simscape Electrical™, with battery cells represented using an equivalent circuit of configurable number of RC elements. The equivalent circuit results of model correlation to experimental data using parameter estimation.
Download white paper: Developing Battery Management Systems: https://bit.ly/2Xa4HZG
Get packaged trial: https://bit.ly/2XhG0P3
Hardware-in-the-loop simulation for battery management systems: https://bit.ly/2N0e0Ku
Learn more about battery management systems: https://bit.ly/2YTZz0M
- Supervisory logic
- Monitoring current, voltage, and temperature
- State-of-charge (SOC) estimation
- Limiting power input and output for thermal, overcharge, and overdischarge protection
- Charging profile control
- Passive balancing
- Battery pack isolation from the load
- State of charge is estimated using coulomb counting, Extended Kalman Filter, and Unscented Kalman Filter.
The BMS algorithms are verified against a battery pack developed with Simscape Electrical™, with battery cells represented using an equivalent circuit of configurable number of RC elements. The equivalent circuit results of model correlation to experimental data using parameter estimation.
Download white paper: Developing Battery Management Systems: https://bit.ly/2Xa4HZG
Get packaged trial: https://bit.ly/2XhG0P3
Hardware-in-the-loop simulation for battery management systems: https://bit.ly/2N0e0Ku
Learn more about battery management systems: https://bit.ly/2YTZz0M
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