MathWorks and NXP Semiconductors have announced the Model-Based Design Toolbox (MBDT) for Battery Management Systems (BMS). Developed for use with the MATLAB and Simulink, the toolbox simplifies design, testing and deployment of BMS algorithms on NXP processors.
It streamlines the path from concept to market-ready solution for intelligent battery health management. The BMS is crucial for electric vehicles as it ensures the optimal performance, durability and safety of the battery, and the BMS design process relies on modeling and simulation to finetune algorithms.
Model-based design enables efficient design of the BMS algorithms, providing a means to test them in simulation for different scenarios. MBDT for BMS makes it easy for engineers to transition from Simulink to testing their BMS algorithms on an NXP processor. This capability simplifies the BMS development process, accelerating prototyping and testing.
NXP CTO Lars Reger said, “Simplifying direct testing with MBDT on NXP processors offers a broad range of benefits, including faster design iterations that allow engineers to identify and fix issues upfront in the design process and reduce time to market.”
The MBDT features integrated input/output (IO) connectivity, which enables engineers to perform dynamic, real-world testing on their BMS systems, providing immediate feedback from early hardware prototypes and insights into system performance.
Jim Tung, MathWorks fellow, said, “The growth of the EV market demands more efficient, reliable and safer battery systems, and tools like MBDT that streamline and enhance the engineering process will be critical. Reducing development times, facilitating easier testing, and accelerating market entry will be differentiators in this competitive market.”