The Multi-Cell BMS Algorithm Development & Testing Lab from Decibels Lab is an industry-oriented development platform designed for learning, developing, testing, and validating Battery Management System (BMS) algorithms for electric vehicle and energy storage applications. Unlike conventional BMS trainer kits that focus only on monitoring or balancing demonstrations, this platform enables complete Model-Based Design (MBD) workflows using MATLAB/Simulink, embedded code generation, real-time telemetry, and hardware-level validation.

The setup is built around:

• Automotive-grade NXP S32K1XX microcontroller

• NXP MC33771C battery cell monitoring IC

• Multi-cell lithium-ion battery pack

• Programmable battery cycler

• Real-time communication and telemetry tools

• Embedded deployment and debugging workflows

The platform is specifically developed to simulate real-world EV battery management workflows used in the automotive industry.

The setup enables students, researchers, and engineers to practically study:

• BMS protection logic development

• FET management and precharge sequencing

• State-of-Charge (SOC) estimation techniques

• State-of-Charge (SOH) estimation techniques

• Passive cell balancing algorithms

• Model-in-the-Loop (MIL) validation workflows

• Embedded C-code generation and deployment

• Real-time battery telemetry and monitoring

• Hardware validation of BMS algorithms

The platform supports a complete workflow from algorithm development to deployment and physical validation on real battery hardware.

Learning Outcomes using this platform, learners can:

• Understand the architecture of Battery Management Systems (BMS)

• Develop protection logic for safe battery operation

• Configure voltage, current, and temperature protection thresholds

• Design and implement SOC estimation algorithms

• Develop passive cell balancing strategies

• Implement BMS algorithms in MATLAB/Simulink

• Build Stateflow-based control logic

• Perform Model-in-the-Loop (MIL) validation

• Generate embedded C-code using Embedded Coder

• Deploy algorithms onto automotive-grade microcontrollers

• Monitor and analyse real-time BMS telemetry with custom software from Decibels

• Understand EV battery pack safety and operational workflows
  

The Platform Integrates

• NXP S32K146 Automotive MCU

• NXP MC33771C Battery Cell Controller

• 14S Multi-Cell Lithium-Ion Battery Pack

• CAN-Based Programmable Load & Charger

• MATLAB & Simulink Environment

• Stateflow Logic Development

• Embedded Coder for Auto Code Generation

• Battery Cycler & GUI

• Real-Time Data Acquisition & Logging Workflows

The setup creates a complete industry-style EV BMS development environment for learning, experimentation, and advanced battery algorithm validation.