Product Overview

The BMS Algorithm Software Package by Decibels Lab is a ready-to-deploy simulation-based toolkit built for engineers, researchers, and academic institutions working on Battery Management Systems.

This package includes pre-configured models and customizable algorithm blocks for State of Charge (SoC), State of Health (SoH), cell balancing, fault detection, and thermal management – all built using a model-based development approach.

Perfect for academic curriculum integration, R&D teams, and corporate training, the package facilitates hands-on learning and real-time simulation using tools like MATLAB/Simulink.

Product Variants & Specifications


Specification Details
Product ID DB-BMS-SW-PKG
Type Industry-ready BMS Algorithm Software
Development Framework Model-Based Design (MBD) – MATLAB/Simulink
Standards Compliance MBD Standards, MIL (Model-in-the-Loop), SIL (Software-in-the-Loop), PIL (Processor-in-the-Loop)
Code Generation Support Yes – Auto-code generation ready
Deployment Ready Yes – Calibrated & Deployable
Included Algorithms SOC Estimation, SOH Estimation, Cell Balancing, Safety Interlocks
Customization Option Available (on request)
Online Course Access 1 Year Validity (Training on Algorithms & Deployment)

Key Experiments You Can Perform

Explore and implement advanced battery algorithms

  • State of Charge (SoC) Estimation

    Simulate various estimation methods under different load cycles.

  • State of Health (SoH) Algorithms

    Predict capacity degradation trends over time.

  • Active/Passive Cell Balancing Strategies

    Compare balancing efficiency across methods.

  • Thermal Monitoring Logic

    Design cooling logic based on dynamic cell temperature.

  • Fault Detection & Isolation

    Simulate scenarios like over-voltage, over-temperature, and current surges.

  • Custom Algorithm Development

    Use editable models to test new BMS strategies.