Product Overview

The Model-Based Multi Cell BMS Software Development Board from Decibels Lab is a comprehensive solution designed for developing, simulating, and validating Battery Management Systems (BMS) for multi-cell battery configurations. Built to support advanced research and industrial applications, this platform helps users design and implement algorithms for monitoring, controlling, and protecting battery packs with multiple cells in series and parallel arrangements. It offers hands-on experience in SOC/SOH estimation, balancing techniques, fault simulation, and CAN communication protocols.

Whether for academic projects, R&D, or EV battery pack testing, this board bridges the gap between theoretical BMS models and practical, real-world applications.

Product Specifications


Specification Variant
Product ID DB-BMS-MC14
Microcontroller Platform NXP S32K
Number of Series Cells Supported 14
System Voltage Range 9.6 V ≤ VPWR ≤ 61.6 V
Supported Chemistries NMC & LFP
Voltage Accuracy ±1 mV typical, < ±4 mV
Voltage Measurement Sampling Rate 10 Hz
Max Total Voltage Measurement Error 0.8 mV
Voltage & Current Measurement NXP AFE & Shunt-based (100–1000 µΩ)
Current Measurement Range ±250 mV
Max Sampling Frequency (Current) 100 Hz
Current Accuracy ±0.5%
Temperature Sensors NTC-based (Max. 6)
Temperature Accuracy ±0.1°C (NTC 10K @ ambient)
Temperature Range -40°C to 150°C
Max Current Handling 60 A
Cutoff Mechanism Contactor based
Protection Features Over/Under Voltage, Over Current,Over/Under Temperature
Debugging Interface UART
Flashing Interface J-tag
Communication Protocol CAN 2.0 (1 Channel)
Fault Indication LED-based
Charging Profile Configuration Yes (CAN-based)
Load DC Programmable Load (300W)
SOC Estimation Methods OCV / CC / OCV + CC / EKF
SOH Estimation Method Impedance Tracking
Cell Balancing Yes (Passive)
Included in Supply Test Equipment, CAN-based Charger, Lithium-ion Battery,DAQ, Connectors, CPU, Monitor, Custom Table, Manual

Key Experiments You Can Perform

  • Cell Voltage Monitoring & Balancing

    Monitor individual cell voltages and implement active/passive balancing techniques.

  • State of Charge (SOC) Estimation

    Develop and validate algorithms for accurate SOC prediction under different load profiles.

  • State of Health (SOH) Estimation

    Measure degradation parameters and create SOH prediction models.

  • Fault Detection & Protection Mechanisms

    Simulate and detect various faults like over-voltage, under-voltage, over-current, and temperature abnormalities.

  • Multi-Cell Pack Configuration Management

    Configure and manage complex multi-cell battery structures (series/parallel combinations).

  • Thermal Management Strategy Development

    Simulate thermal runaway scenarios and develop proactive thermal management algorithms.

  • CAN Communication & Diagnostics

    Integrate and test CAN protocols for real-time battery monitoring and data logging.

  • Algorithm Development for Charging & Discharging Control

    Create control strategies for optimized charging profiles (fast charging, standard charging).

Who Should Use This Lab?

  • Universities & Engineering Colleges

  • Battery Pack Designers & Integrators

  • EV Startups & R&D Labs

  • MATLAB/Simulink Learners & Educators

  • Embedded Systems & Automotive Engineers