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Battery Data Acquisition and Analysis Using MATLAB

Develop battery management systems with Simulink

Lithium-ion battery packs are the predominant energy storage systems in aircraft, electric vehicles, portable devices, and other equipment requiring a reliable, high-energy-density, low-weight power source. The battery management system (BMS) is responsible for safe operation, performance, and battery life under diverse charge-discharge and environmental conditions. When designing a BMS, engineers develop feedback and supervisory control that:
  • Monitors cell voltage and temperature
  • Estimates state-of-charge and state-of-health
  • Limits power input and output for thermal and overcharge protection
  • Controls the charging profile
  • Balances the state-of-charge of individual cells
  • Isolates the battery pack from the load when necessary

Simulink® modeling and simulation capabilities enable BMS development, including single-cell-equivalent circuit formulation and parameterization, electronic circuit design, control logic, automatic code generation, and verification and validation. With Simulink, engineers can design and simulate the battery management systems by:

  • Modeling battery packs using electrical networks whose topology mirrors that of the actual system and scales with the number of cells
  • Parameterizing equivalent circuit elements using test data for accurate representation of cell chemistry
  • Designing the power electronics circuit that connects the pack with the controls
  • Developing closed-loop control algorithms for supervisory and fault detection logic
  • Designing state observers for state-of-charge and state-of-health online estimation

Using Simulink, engineers can exercise the battery management system over a range of operating and fault conditions before committing to hardware testing. You can generate C code from Simulink models to deploy your control algorithms for rapid prototyping of systems or microcontrollers. Simulink generates code from the battery and electronic component models, letting you perform real-time simulation for hardware-in-the-loop (HIL) testing to validate your BMS before hardware implementation.

In this presentation, MathWorks engineers will demonstrate how to acquire and analyze battery discharge data using MATLAB. 

They will show techniques for aligning data traces with different timestamps, repairing datasets with missing data, rejecting noisy data, and other tasks needed for battery modeling and battery management system (BMS) development.

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