Model-Based BMS Development for EV-Grade Applications
Battery Management System (BMS) implementation on NXP S32K3 platform using MATLAB/Simulink model-based design.
The system demonstrates real-time monitoring and control of a 14-cell lithium-ion battery pack with integrated communication and validation workflows.
This project reflects production-style EV and energy storage BMS development aligned with automotive-grade engineering practices.
Technical Overview
The system is built around a Simulink-driven model-based development flow, where control logic and estimation algorithms are designed, simulated, and deployed onto the S32K3 ECU platform.
It includes real-time cell voltage monitoring across 14 series-connected lithium-ion cells, along with SOC/SOH estimation logic and signal-level validation.
Communication with external tools and ECUs is handled via CAN using PCAN interfaces for monitoring, calibration, and diagnostics.
The architecture supports integration of control algorithms with embedded execution constraints, enabling validation of timing behavior, stability, and system response under real operating conditions.
What This Demonstrates
- Model-Based Design using MATLAB/Simulink
- 14-cell lithium-ion battery monitoring system
- SOC / SOH estimation and signal processing logic
- CAN-based communication using PCAN interfaces
- Embedded deployment on NXP S32K3 platform
- ECU-level BMS validation and debugging workflow