MATLAB et Simulink pour les systèmes de batterie

Create Battery Models and Design Battery Packs

Simulink and Simscape Battery provide a design environment so you can model battery cells, design different battery pack architectures, and evaluate thermal and electrical responses of battery packs across normal and fault conditions. 

• Parameterize cells based on manufacturer data sheets
• Build customizable battery models with different effects, geometries, and topologies
• Model cooling plates with customizable fluid paths and thermal connections to the battery pack
• Explore cell-to-cell temperature variation and measure cooling efficiency
• Set a suitable model resolution to strike a balance between model fidelity and simulation speed

Develop Battery Management System Algorithms

Use Simulink and Simscape to develop algorithms that ensure desired performance, safe operation, and acceptable lifespan under diverse operating and environmental conditions. With system-level simulation, verify functional aspects of the BMS design on behavioral models of battery, electrical circuitry, environmental conditions, and loads. Gain insight into the dynamic behavior of the battery pack and explore the effectiveness of BMS algorithms to:

• Monitor cell voltage and temperature
• Estimate state-of-charge (SOC) and state-of-health (SOH)
• Control the battery charging profile
• Balance the SOC of individual cells
• Isolate the battery pack from source and load, when necessary

Test and Verify Battery Management System Algorithms

Generate C/C++ and HDL code from Simulink and Simscape models for rapid prototyping (RP) or hardware-in-the-loop (HIL) testing to validate the BMS algorithms using real-time simulation. Emulate the BMS controller so that you can validate algorithms before generating and implementing code on a microcontroller or FPGA. Test a BMS controller before using hardware prototypes by conducting HIL testing to simulate the balance of the battery system.

Generate and Deploy Code

Generate readable, compact, and efficient C/C++ and HDL code from battery system algorithms ready for implementation on production microcontrollers, FPGAs, and ASICs.

• Use Embedded Coder and the hardware support packages for embedded code generation and deployment on ARM^® Cortex^®-A/M/R, C2000, STM32, Infineon^® AURIX™, Xilinx^® Zynq^®, and Altera^® SoC devices
• Use HDL Coder and the hardware support packages for HDL code generation and deployment on Altera (FPGA, SoC), Xilinx (FPGA, Zynq, RFSoC), and Microchip (FPGA, SoC) devices
• Optimize code generation settings, improve code efficiency, and facilitate integration with legacy code, data types, and calibration parameters