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Modular Battery & BMS Development Platform 

The future of electric mobility and energy storage depends on intelligent battery systems. At the heart of every high-performance battery pack lies a robust Battery Management System (BMS). The Modular Battery & BMS Development Platform bridges the gap between theoretical learning and real-world battery engineering. Designed for universities, R&D labs, and battery developers, this platform enables complete battery lifecycle development — from cell preparation and sorting to pack assembly, BMS algorithm design, validation, and environmental testing. It is not just a training kit. It is a full-scale battery research and validation ecosystem. 

Key Features

  • Scalable Battery Pack Architecture: Supports up to 23S5P configuration, enabling flexible pack design from small laboratory setups to EV-scale battery systems for advanced experimentation.
  • 115-Channel Cell Voltage Management: Provides precise individual cell monitoring and pre-assembly voltage equalization to ensure uniform pack performance and extended cycle life.
  • Advanced Cell Sorting System: Uses pulse-based internal resistance measurement to classify and group homogeneous cells, minimizing thermal imbalance and premature degradation.
  • Programmable BMS Development Unit: Features open-source firmware and microcontroller-based architecture for implementing custom protection logic, balancing strategies, and SOC/SOH algorithms.
  • Comprehensive Protection Suite: Includes over/under voltage, overcurrent, short circuit, thermal, reversal, inrush current, and internal resistance protection at both cell and pack levels.
  • Passive, Active & Dynamic Balancing: Enables comparative study of resistor-based passive balancing, energy-transfer active balancing, and real-time dynamic balancing strategies.
  • Multiple SOC Estimation Techniques: Supports Coulomb Counting, OCV method, Kalman Filter, Extended Kalman Filter (EKF), and custom algorithm deployment for research validation.
  • Integrated Battery Cycler: Allows CC, CV, Constant Power, and C-Rate charge/discharge modes with programmable parameters up to 90V and 30A.
  • Environmental Chamber Integration: Facilitates temperature-controlled testing from -10°C to 60°C to analyze thermal effects on performance and estimation accuracy.
  • High-Speed Data Acquisition System: Enables real-time monitoring and logging of voltage, current, temperature, SOC, and SOH through LabVIEW-based visualization and exportable data formats.
  • Real-Time LabVIEW Interface: Provides graphical monitoring, debugging console, protection status alerts, and customizable control parameters for algorithm development.
  • Research & Curriculum Ready Platform: Designed for academic labs, EV research centers, and battery developers to support structured experiments, validation studies, and embedded system development.
Ecosense

Learning Module 

Ecosense

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

  • The 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.
  • The equalized cells are transferred to the Cell Sorting Unit, which applies controlled current pulses to measure internal resistance and groups cells with similar characteristics.
  • Selected cells are assembled into configurable battery pack topologies up to 23S5P, enabling creation of custom series-parallel configurations for testing and validation.
  • The assembled battery pack is interfaced with a programmable BMS development unit, which continuously monitors individual cell voltages, pack voltage, bidirectional current, and multi-point temperature signals.
  • The BMS executes configurable protection algorithms including over-voltage, under-voltage, overcurrent, short-circuit, temperature limits, reversal detection, and imbalance protection.
  • Cell balancing is performed using selectable passive, active, or dynamic balancing strategies, allowing comparative performance evaluation under real operating conditions.
  • State of Charge (SoC) is estimated using Coulomb Counting, Open Circuit Voltage (OCV), Kalman Filter, Extended Kalman Filter (EKF), or custom user-defined algorithms deployed via firmware or LabVIEW interface.
  • The battery pack is connected to an integrated battery cycler, which performs controlled CC, CV, Constant Power, or C-Rate charge and discharge profiles up to 90V and 30A.
  • Regenerative energy during discharge cycles can be analyzed and logged for validation of efficiency and energy recovery behavior.
  • For environmental validation, the battery pack can be placed inside a temperature-controlled chamber (-10°C to 60°C) to study thermal influence on performance, protection, and SoC accuracy.
  • A high-speed data acquisition system logs voltage, current, temperature, SoC, SoH, and fault events in real time for analysis and research documentation.
  • The entire platform is managed through a LabVIEW-based graphical interface, enabling parameter tuning, algorithm modification, protection threshold configuration, and data export in CSV or image formats
Ecosense

Technical Specifications 

Ecosense

Cell Preparation & Sorting System


ParameterSpecifications
Voltage Management0–5V DC range, 0.01V resolution, 128 channels
Charge/Discharge Current0–6000 mA, ±2% accuracy
Internal Resistance TestingPulse-based IR measurement, ±0.5% accuracy
Sorting Capacity80 ppm sorting speed, multi-group classification


BMS Development Platform


ParameterSpecifications
Battery ConfigurationUp to 23S × 5P, Max 73.6V, 30Ah
Measurement Capability23 cell voltage channels (1mV resolution), ±30A current sensing, multi-point temperature monitoring
Balancing & EstimationPassive, Active & Dynamic balancing; CC, OCV, KF, EKF & custom SoC algorithms
Protection & ControlFull cell/pack protections, 32-bit ARM Cortex-M4 controller, open-source firmware


Validation & Testing System


ParameterSpecifications
Battery Cycler2.5–90V, 0–30A, 2500W max output
Charge/Discharge ModesCC, CV, Constant Power, C-Rate
Environmental Testing-10°C to 60°C, 60–90% RH
Data Logging & InterfaceLabVIEW GUI, high-speed DAQ, CSV & image export


Real world impact across Campuses

Recent Installations

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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.

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