Modular Battery & BMS Development Platform

The future of electric mobility and energy storage depends on intelligent battery management. At the core of every high-performance battery pack lies a reliable BMS battery system that ensures safety, efficiency, and longevity. The Modular Battery & BMS Development Platform bridges the gap between theoretical learning and practical battery engineering. Designed for universities, EV research labs, and battery developers, the platform enables complete battery lifecycle development — from cell preparation and sorting to pack assembly, algorithm design, validation, and environmental testing. This platform functions as a complete BMS battery system research environment, enabling students and researchers to study cell behavior, develop battery management algorithms, and validate system performance under real operating conditions. It is more than a training kit; it is a comprehensive battery development and validation ecosystem.

Key Features

Scalable Battery Pack Architecture: Supports up to 23S5P battery configuration, enabling flexible pack design from laboratory prototypes to EV-scale battery systems for advanced experimentation.
115-Channel Cell Voltage Management: Provides precise monitoring of individual cell voltages and enables pre-assembly voltage equalization to maintain uniform pack performance and longer battery life.
Advanced Cell Sorting System: Uses pulse-based internal resistance measurement to classify and group homogeneous cells, reducing thermal imbalance and improving pack reliability.
Programmable BMS Development Unit: Microcontroller-based architecture with open-source firmware enables development of custom algorithms for protection logic, balancing strategies, and BMS battery system control.
Comprehensive Protection Architecture: Supports multiple protection mechanisms including over-voltage, under-voltage, overcurrent, short circuit, thermal protection, polarity reversal detection, and inrush current protection.
Passive, Active & Dynamic Cell Balancing: Enables comparative analysis of resistor-based passive balancing, energy-transfer active balancing, and dynamic balancing strategies within a BMS battery system architecture.
Advanced State of Charge Estimation: Supports multiple SoC estimation methods including Coulomb Counting, Open Circuit Voltage (OCV), Kalman Filter, Extended Kalman Filter (EKF), and custom algorithms for research validation.
Integrated Battery Cycler: Enables programmable charge and discharge profiles including CC, CV, Constant Power, and C-Rate modes up to 90 V and 30 A.
Environmental Chamber Integration: Supports temperature-controlled testing between −10°C and 60°C for evaluating thermal impact on battery performance and BMS battery system estimation accuracy.
High-Speed Data Acquisition: Real-time monitoring and logging of voltage, current, temperature, SoC, and SoH parameters through a high-speed data acquisition interface.
LabVIEW-Based Control Interface: Provides graphical monitoring, protection alerts, debugging tools, and configurable parameters for algorithm development and system testing.
Research and Curriculum Ready: Designed for universities, EV innovation labs, and battery developers working on BMS battery system design, testing, and validation.

Learning Module

Cell Characterization & Preparation

Voltage equalization techniques
Internal resistance measurement
Homogeneous cell grouping strategy
Pre-assembly validation procedures

Battery Pack Design & Configuration

Series and parallel configuration studies
Voltage vs capacity behavior analysis
Automatic cell detection logic
Pack topology optimization

BMS Algorithm Development & Validation

SoC estimation comparison.
Protection logic programming
Balancing strategy evaluation
Fault simulation and diagnostics
Temperature-compensated modeling

Technical Description

Cell Voltage Equalization: Individual lithium cells are first connected to the Cell Voltage Manager where each cell is precisely equalized to a predefined reference voltage before pack assembly.
Cell Sorting and Characterization: The equalized cells are transferred to the Cell Sorting Unit. Controlled current pulses measure internal resistance and group cells with similar characteristics to ensure pack consistency.
Battery Pack Configuration: Selected cells are assembled into configurable battery pack topologies up to 23S5P, enabling researchers to design custom series-parallel battery architectures.
Programmable BMS Battery System Integration: The assembled battery pack is connected to a programmable BMS battery system development unit that continuously monitors individual cell voltages, pack voltage, bidirectional current, and temperature signals.
Protection Algorithm Implementation: The BMS executes configurable protection algorithms including over-voltage, under-voltage, overcurrent, short-circuit protection, temperature thresholds, and imbalance detection.
Cell Balancing Mechanisms: Cell balancing is performed through selectable passive, active, or dynamic balancing methods, allowing researchers to analyze balancing efficiency and energy distribution.
State of Charge Estimation: The platform supports multiple SoC estimation methods including Coulomb Counting, OCV, Kalman Filter, Extended Kalman Filter (EKF), and user-defined algorithms deployed through firmware or the LabVIEW interface.
Battery Cycling and Validation: The battery pack connects to an integrated battery cycler capable of performing CC, CV, Constant Power, and C-Rate charge and discharge cycles up to 90 V and 30 A.
Regenerative Energy Analysis: Energy recovered during discharge cycles can be analyzed and logged to study battery efficiency and energy recovery behavior.
Environmental Performance Testing: The battery pack can be placed inside a temperature-controlled chamber (−10°C to 60°C) to study the influence of thermal conditions on battery performance and BMS battery system protection accuracy.
Real-Time Data Acquisition and Monitoring: A high-speed data acquisition system logs voltage, current, temperature, SoC, SoH, and fault events in real time for analysis and research documentation.
Graphical Control Interface: The entire platform is managed through a LabVIEW-based graphical interface, allowing parameter tuning, algorithm modification, protection configuration, and export of experimental data in CSV or graphical formats.

Technical Specifications

Cell Preparation & Sorting System

Parameter	Specifications
Voltage Management	0–5V DC range, 0.01V resolution, 128 channels
Charge/Discharge Current	0–6000 mA, ±2% accuracy
Internal Resistance Testing	Pulse-based IR measurement, ±0.5% accuracy
Sorting Capacity	80 ppm sorting speed, multi-group classification

BMS Development Platform

Parameter	Specifications
Battery Configuration	Up to 23S × 5P, Max 73.6V, 30Ah
Measurement Capability	23 cell voltage channels (1mV resolution), ±30A current sensing, multi-point temperature monitoring
Balancing & Estimation	Passive, Active & Dynamic balancing; CC, OCV, KF, EKF & custom SoC algorithms
Protection & Control	Full cell/pack protections, 32-bit ARM Cortex-M4 controller, open-source firmware

Validation & Testing System

Parameter	Specifications
Battery Cycler	2.5–90V, 0–30A, 2500W max output
Charge/Discharge Modes	CC, CV, Constant Power, C-Rate
Environmental Testing	-10°C to 60°C, 60–90% RH
Data Logging & Interface	LabVIEW GUI, high-speed DAQ, CSV & image export

Real world impact across Campuses

Recent Installations

Frequently Asked Questions

Unlike basic trainers, this platform supports full battery lifecycle development — from cell equalization and sorting to pack assembly, BMS algorithm development, validation, and environmental testing. It enables real-world EV-scale experimentation up to 23S5P configuration with open-source firmware flexibility.

Yes. The system includes a programmable microcontroller-based BMS with editable firmware. Users can implement custom protection logic, balancing strategies, and advanced SoC/SOH estimation algorithms such as Kalman Filters or proprietary models, making it ideal for academic and research-driven innovation.

The platform supports lithium-based chemistries including LiFePO₄ and NMC. It allows flexible pack configurations up to 23 cells in series and 5 in parallel, enabling users to design smaller experimental packs or near-EV-scale battery systems.

Yes. The integrated environmental chamber allows temperature-controlled testing from -10°C to 60°C with humidity control. This enables researchers to evaluate battery behavior, protection mechanisms, and SoC accuracy under real-world thermal stress conditions.

Absolutely. With programmable BMS control, multiple balancing methods, advanced SoC estimation techniques, battery cycling up to 90V and 30A, and real-time data acquisition, the platform is designed specifically for EV battery development, energy storage research, and advanced academic labs.

Get in Touch

Ready to transform your labs?

Contact Now

Modular Battery & BMS Development Platform

Key Features