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7 products available
- Battery Management System (BMS) & CAN Protocols Training & Test Rig AI-Integrated
- High-Performance Testing Equipment IR Testing Integrated with AI & Computer System
- Li-Ion Cylindrical & Prismatic EV Cell Capacity Tester 5V 10A 8 Channel AI Integrated
- Battery Testing Equipment Integrated with Artificial Intelligence (Battery Pack Testing)
- Liquid Cooled Lithium-Ion Battery 72V / 96V Battery Simulator with DC Load
- EV Battery Cell Balancer Bluetooth Enabled, Integrated with IoT
- Battery Spot Welding Machine for Prototyping with Sample Modules & Safety Gears
22 products available
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- AI - Enabled Battery Management System Test Bench using CAN Protocol
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Customized Battery Lab Workbench
We are a leading of Battery Management System (BMS) & CAN Protocols Training & Test Rig AI-Integrated, High-Performance Testing Equipment IR Testing Integrated with AI & Computer System, Li-Ion Cylindrical & Prismatic EV Cell Capacity Tester 5V 10A 8 Channel AI Integrated, Battery Testing Equipment Integrated with Artificial Intelligence (Battery Pack Testing), Liquid Cooled Lithium-Ion Battery 72V / 96V Battery Simulator with DC Load and EV Battery Cell Balancer Bluetooth Enabled, Integrated with IoT from Noida, India.+ Read More
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| Battery Voltage | 48 V, 50 Ah Li-Ion |
| Communication Interface | Keyboard and Mouse included, AI dashboard software |
| Product ID | BCAN-2019AI |
| Loading System | Chain and Pulley Type (Mechanical) |
| Hub Motor | 1200 W |
| Smart BMS | 13S with Android App connectivity |
| Motor Controller | 24-tube, 50 A |
| Throttle | With integrated data logger / screen |
| Data Acquisition | Integrated with i3 computer system, AI-enabled analytics module |
| Mechanical Integration | Workbench with full cabinet and platform |
| Vehicle Simulation | Steering, braking, and acceleration systems included |
Purpose:
A hands-on, AI-enhanced training and research platform designed to teach, test, and experiment with Battery Management System (BMS) control algorithms, Controller Area Network (CAN) communication, and intelligent data analysis using AI. Enables learners to gain practical experience in battery performance optimization, predictive fault detection, and autonomous system management.
Advanced Features with AI Integration
- Real-Time Battery Health Monitoring: AI algorithms predict potential cell failures, detect anomalies, and generate alerts
- Intelligent Charge/Discharge Management: AI optimizes battery usage and longevity under varying load conditions
- Predictive Fault Diagnostics: Machine learning models analyze historical and real-time data to predict failures before they occur
- Enhanced CAN Data Analytics: AI processes CAN network data for trend analysis, anomaly detection, and performance prediction
- Automated Parameter Tuning: AI suggests optimal safety cutoffs, performance thresholds, and balancing strategies
- Visualization & Reporting: AI-assisted graphs and dashboards provide actionable insights from battery and motor data
Dual-Mode Monitoring: Desktop application and Android app with AI insights and predictive analytics
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| Measurement frequency | 1 kHz ± 0.2 Hz |
| Resistance measurement ranges | 31.000 mΩ, 1 μΩ, 100 mA to 310.00 Ω, 10 mΩ, 10 μA |
| Basic accuracy | ± 0.5 % rdg ± 5 dgt |
| Voltage measurement ranges | 6.00000 V (resolution 10 μV) to 60.0000 V (resolution 100 μV) |
| Response time | 10 ms |
| Sampling periods | 4 ms, 12 ms, 35 ms, 150 ms |
| Allowable total line resistance (within accuracy) | 3 mΩ, 30 mΩ, 300 mΩ, 3 Ω → 4 Ω, 30 Ω, 30 Ω |
| Open terminal voltage | 25 V, 7 V, 4 V peak |
| Comparator | Hi / IN / Lo |
| Statistical calculation capacity | Max 30,000 data points |
| Average count | Selectable 2 to 16 times |
| Memory storage | 400 records |
| Applicable standard | Safety: EN 61010 & EMC: EN 61326 Class A |
Model: High Precision Battery IR Tester for EV Applications (As per Industry Standards)
Additional Integration:
- Integrated AI-based analysis for defect detection and predictive diagnostics
- Computer interface for real-time monitoring, report generation, and data logging
- Compatible with EV cell R&D and quality assurance laboratories
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Li-Ion Cylindrical & Prismatic EV Cell Capacity Tester 5V 10A 8 Channel AI Integrated
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| Channels | 8 Independent Channels |
| Applicable Cell Types | Cylindrical & Prismatic Li-ion, Ni-MH, Ni-CD |
| Charging Voltage Range | 0 – 5V |
| Discharge Voltage Range | 5V – 0.7V |
| Charging Current Range | 0.02A – 10A |
| Discharge Current Range | 0.02A – 10A |
| Voltage Accuracy | ±0.05% FS ±0.05% RD (1mV resolution) |
| Current Accuracy | ±0.05% FS ±0.05% RD (1mA resolution) |
| Power Output per Channel | ≤ 450W |
| Input Power Supply | AC 220V ±10%, 50Hz |
| Input Impedance | ≥10MΩ |
| Current Response Time | ≤ 50ms (hardware response) |
| Time Setting Range | 0 – 9999 hours (resolution: 0.1s) |
| Continuous Working Capability | 24x7 continuous operation (365 days) |
| Noise Level | < 60 dB |
| Operating Temperature | 0°C – 40°C |
| Storage Temperature | -10°C – 50°C |
| Humidity (Operating / Storage) | ≤70% RH / ≤80% RH (no condensation) |
| Communication Interface | RJ45 Network (LAN) |
| Control System | PC Software with AI Integration |
| Circuit Structure | Modular design for easy maintenance |
| Protection Class | Overvoltage, overcurrent, short-circuit, reverse polarity, temperature protection |
The AI-Integrated Cylindrical & Prismatic EV Cell Capacity Tester is a multi-channel, precision-controlled system designed to test, analyze, and grade various lithium-based and nickel-based rechargeable cells.
It performs charge-discharge tests, capacity grading, internal resistance measurement, balancing, and data analysis with high accuracy.
This equipment is suitable for R&D labs, EV battery assembly centers, cell testing stations, and academic training facilities.
Application Range -
- Cylindrical and prismatic lithium-ion cells
- Ni-MH and Ni-CD batteries
- Capacity testing, charge/discharge cycle life testing
- Capacity matching, regeneration, and balance charging
- Internal resistance and temperature analysis
- Data logging and AI-based performance prediction
Functional Features
1. Charging Modes
- Constant Current (CC)
- Constant Voltage (CV)
- Constant Current–Constant Voltage (CC–CV)
- Constant Power Charging
- Constant Current
- Constant Voltage
- Constant Power Discharge
- Voltage, current, time, capacity, or temperature-based cutoff
- Multi-level data recording: charge, discharge, stationary, global time
- Sampling frequency: 100ms–100s; single box sampling: ~10ms
- Real-time curve plotting of voltage, current, capacity, and temperature
- Local storage + cloud/MES database integration
5. Cycle and Work Steps
- Up to 100 programmable steps per sequence
- 10 nested loop layers for complex test procedures
- Adjustable step parameters: duration, current, voltage, and temperature
6. AI-Integrated Functions
- Predictive analytics for cell degradation and cycle life
- AI-based classification and capacity sorting (Grade A/B/C)
- Automatic anomaly detection and alert for abnormal voltage/current/temp
- Smart test optimization and parameter suggestion based on historical data
- Auto report generation with Pass/NG classification
Software and Data Management
- User-friendly interface supporting manual or automatic test sequences
- Supports MES / database connectivity for production integration
- Real-time monitoring of all channels on a single dashboard
- Data export in Excel or CSV format
- Local + Cloud backup of test data
- Multi-device management through LAN network
- Manual and automatic test recovery in case of communication or power failure
- Barcode and QR code scanning for battery ID traceability
- Customizable test templates and report formats
Protection & Safety Features
- Reverse polarity protection
- Overvoltage / undervoltage / overcurrent / undercurrent protection
- Over-temperature and short-circuit protection
- Automatic data recovery after power or communication loss
- Audible and visual fault alarms
- Channel-level isolation for independent operation
Design and Construction
- Modular channel structure for easy serviceability
- Compact design suitable for bench or rack mounting
- Industrial-grade connectors and protection sockets
- Optional built-in temperature monitoring system (VCELL / TCELL)
- Optional auxiliary 16-channel temperature sensing module
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Battery Testing Equipment Integrated with Artificial Intelligence (Battery Pack Testing)
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| Model Type | Battery Charger / Discharger Equipment (1 Channel) |
| Display Type | Digital LCD Panel |
| Voltage Range | 9V – 99V |
| Maximum Voltage | 99V |
| Charge Current Range | 0.5A – 20A (adjustable) |
| Discharge Current Range | 0.5A – 40A (adjustable) |
| Applicable Batteries | Lead-Acid / Lithium-ion / LiFePO₄ Battery Packs |
| Input Power | AC 200V – 245V, 50/60Hz |
| Power Consumption | 900 W |
| Charge Cut-off Voltage | 9V – 99V (0.1V stepping) |
| Discharge Cut-off Voltage | 9V – 99V (0.1V stepping) |
| Voltage Accuracy | ±0.03V |
| Current Accuracy | ±0.03A |
| Control Channels | Independent Channel (1CH) |
| Communication Interface | LAN (TCP/IP Protocol) |
| Control Mode | Independent / PC Software Control |
| Noise Level | < 76 dB |
| Protection Grade | IP20 |
| Insulation Between Channels | AC 1000V / 2 min Normal |
| Ambient Operating Temperature | 0°C – 40°C |
| Storage Temperature | -10°C – 50°C |
| Operating Humidity | ≤ 70% RH (non-condensing) |
| Storage Humidity | ≤ 80% RH (non-condensing) |
The Battery Testing Equipment is a fully automated, programmable digital test bench designed for testing, charging, discharging, and analyzing various types of rechargeable battery packs used in Electric Vehicles and Energy Storage Systems.
It supports Lithium-ion, LiFePO₄, and enables both manual (panel) and software-controlled operations, providing precise control, reliable protection, and comprehensive data acquisition for laboratory, R&D, and educational use.
Functional Features
1. Charging Functions
- Constant Current / Constant Voltage (CC/CV) Charging Mode
- Adjustable charge current (0.5A – 20A)
- Charge cut-off by voltage, current, time, or capacity
2. Discharging Functions
- Constant Current Discharge Mode
- Adjustable discharge current up to 40A
- Cut-off by voltage, current, time, or capacity
3. Cycle Testing
- Auto cycle charge/discharge (1–99 cycles)
- Suitable for battery life and aging tests
4. Control and Operation
- Dual operation modes: Panel Operation and PC Software Control
- “START” and “SET” knob interface for easy setup
- All voltage/current parameters saved automatically
- Intelligent speed fan with power-off delay for cooling
- Polarity protection and anti-reverse connection
5. Data and Communication
- Real-time monitoring and graphical data visualization
- Data export in Excel format
- Time/voltage/current-based data sampling
- LAN communication for remote control and multi-device management
- Compatible with Windows XP/7/8/10
6. Safety & Protection
- Power-off memory and auto-restart function
- Reverse connection protection
- Over-voltage, Over-temperature, Over-current, and Short-circuit protection
7. Build and Design
- Modular hardware design for easy maintenance
- Rugged and compact design suitable for lab or production testing
- Clear LCD display with real-time status and test parameters
AI Configuration - Battery Testing Equipment with PC Integration and Artificial Intelligence Features
Integrated AI-powered battery analytics software for:
- Predictive capacity degradation analysis
- Cycle life prediction and comparison
- Anomaly detection during charge/discharge
- Automatic report generation and parameter optimization
PC Configuration:
- Intel i5 / i7 Processor
- 8GB RAM / 512GB SSD
- 21” HD Display
- Pre-installed licensed software and communication drivers
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| Output Voltage Range | 0 – 120V DC (Programmable for 72V or 96V Systems) |
| Output Current Range | 0 – 200A DC (Continuous), 300A Peak |
| Output Power Rating | 10 kW / 15 kW (as per model) |
| Battery Chemistry Emulation | Lithium-Ion (NMC / LFP Selectable) |
| Voltage Resolution | 10 mV |
| Current Resolution | 10 mA |
| Voltage Accuracy | ±0.05% of FS ±0.05% of RD |
| Current Accuracy | ±0.1% of FS ±0.05% of RD |
| Response Time | ≤1 ms (Dynamic load changes) |
| Internal Resistance Simulation | 0.01 Ω – 5 Ω adjustable |
| Cooling System | Liquid Cooled (Closed-loop Chiller Integrated) |
| Coolant Type | Deionized Water + Glycol Mixture |
| Coolant Flow Rate | 5–10 L/min (adjustable) |
| Temperature Control Range | 20°C – 45°C |
| Temperature Stability | ±1°C |
| Temperature Sensors | 4–6 PT100 Sensors for Cell Zone Monitoring |
| Communication Interface | CAN, RS485, Modbus TCP, Ethernet, USB |
| IoT Connectivity | Wi-Fi / GSM-based Cloud Monitoring Dashboard |
| Control Interface | 10” Industrial Touchscreen + PC Software |
| Operating Mode | Constant Voltage (CV), Constant Current (CC), Constant Power (CP), Battery Simulation |
| Protection Features | OVP, OCP, OTP, Short-Circuit, Reverse Polarity |
| Safety Grade | IP21 (Indoor) |
| Operation Mode | Manual / Software / AI Voice Control (optional) |
| Data Logging | Real-time voltage, current, temperature, SOC, SOH |
| Data Export | CSV / Excel / Cloud Dashboard |
| Power Input | 230V / 415V AC ±10%, 50Hz |
| Operating Temperature | 0°C – 45°C |
| Storage Temperature | -10°C – 55°C |
| Ambient Humidity | ≤75% RH non-condensing |
| Dimensions (Approx.) | 1000 mm × 600 mm × 900 mm |
| Weight | ~80–120 kg (depending on rating) |
Overview
The Liquid Cooled Lithium-Ion Battery Simulator with DC Load is an advanced laboratory-grade test and simulation setup designed to emulate 72V and 96V EV battery packs under various load and charging/discharging conditions.
It provides programmable output characteristics, real-time data acquisition, and liquid cooling for thermal stability — making it ideal for EV drivetrain, motor controller, and BMS validation testing.
Integrated with AI and IoT-based monitoring, this simulator supports both manual and computer-controlled operation, enabling realistic behavior replication of an actual EV battery pack in training or R&D environments.
Functional Description
The simulator functions as a programmable DC power source that replicates the voltage, current, and dynamic response of a lithium-ion EV battery (NMC / LFP type).
It includes an integrated DC electronic load for testing charge/discharge cycles, as well as a liquid cooling system to maintain optimal operating temperature during continuous operation.
The simulator can interface with EV controllers, motor drives, or BMS systems for system integration and performance evaluation.
Major Components
- Programmable DC Source & Load Module
- Liquid Cooling Unit (Chiller + Radiator + Pump)
- Temperature Monitoring System
- Control Interface
- BMS Interface Port (CAN/UART)
- Computer Software with Real-Time Graphs
- AI & IoT Monitoring Dashboard
- Safety Protection & Emergency Stop System
- Test Leads & Connectors
Functional Features
- Emulates dynamic battery behavior for EV motor controllers and BMS testing
- Integrated DC load enables discharge and regenerative testing
- Real-time monitoring of Voltage, Current, Power, and Temperature
- Adjustable internal resistance and SOC/SOH simulation
- AI-assisted diagnostics and automatic fault alerts
- Remote data access and cloud report generation
- Liquid cooling for long-duration high-current testing
- Multi-protocol communication for external device interface
- Data visualization and exportable reports for training or research
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EV Battery Cell Balancer Bluetooth Enabled, Integrated with IoT
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| Model | Active Balancer Equalizer 24S (12–72V, 4A Max) |
| Suitable For | NMC / LFP Lithium Battery Packs |
| Supported Battery Configuration | 2–24 cells battery packs |
| Compatibility | Supports all lithium-based batteries available in the market |
| Balancing Type | Active energy transfer using supercapacitor technology |
| Balancing Accuracy | ΔV ≤ 5 mV between cells |
| Cell Voltage Measurement Range | 1 V – 5 V |
| Measurement Accuracy | ±1 mV |
| Adjustable Balancing Current | 0.3 A to 4 A (extendable up to 10 A model) |
| Voltage Acquisition & Equalization | Real-time, simultaneous multi-cell management |
| Bluetooth Connectivity | Built-in module with mobile app support (Android & iOS) |
| IoT Integration | Cloud data logging, live cell health monitoring, and remote alerts |
| Wiring Error Detection | Balance-wire resistance detection to identify faults early |
| Operating Power Supply | 25 V – 100 V (Battery power or external source) |
| Power Consumption Working Mode | 10 mA @ 100 V |
| Power Consumption Idle Mode | 6 mA @ 100 V |
| Operating Temperature | -20°C to +70°C |
Overview:
A high-performance, intelligent battery pack management system designed for large-capacity lithium battery series. This advanced equalizer employs supercapacitor-based active energy transfer technology, ensuring precise and efficient balancing across cells. Integrated Bluetooth and IoT connectivity enable real-time monitoring, diagnostics, and control through mobile and cloud platforms.
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| Power Rating | 1500A, 5 kW Capacity |
| Control System | Microcomputer Single-Chip Controller |
| Application | Lithium-ion / Ni-MH / Ni-CD Cell Tab Welding for Prototype and Small-Scale Battery Pack Assembly |
| Input Power Supply | Single Phase, 230V AC ±10%, 50/60Hz |
| Power Capacity | 5 kW |
| Output Current | Up to 1500A (Adjustable) |
| Welding Head | 8 inch, precision guided |
| Electrode Size | Ø 3.0 mm – 3.5 mm |
| Applicable Material Thickness | 0.2 mm – 0.25 mm |
| Welding Mode | High-Frequency Inverter, Dual Pulse Control |
| Cycle Time | Adjustable: 0.001 – 9.999 seconds |
| Heat Control | Digital fine adjustment with programmable pulse shaping |
| Cooling System | Air-cooled (optional water cooling) |
| Display Interface | Digital LCD Display / Control Panel |
| Safety Protection | Overcurrent, Overheat, Short-circuit protection |
| Dimensions | Compact Bench-top Type |
| Weight | Approx. 25–35 kg |
Overview -
The Battery Spot Welding Machine for Prototyping is a microcomputer-controlled, high-frequency inverter-based system designed for precise spot welding of EV battery cells.It supports R&D, prototyping, and training applications and ensures repeatable weld quality on nickel, copper, or aluminum interconnects. The system includes sample battery modules and complete operator safety gear, making it ideal for educational or demonstration purposes.
Functional Features
- Advanced microprocessor control for accurate heat and timing adjustments.
- High-frequency inverter ensures stable and consistent welds.
- Dual-pulse welding prevents material burn-through and ensures clean joints.
- Suitable for battery cell prototyping (18650, 21700, Prismatic cells).
- Programmable parameters for energy, time, and current.
- Automatic welding counter and memory storage.
- Supports manual, pedal, or pneumatic operation.
- Compatible with Nickel and Copper tabs (0.2–0.25 mm).
- Ideal for EV Battery Prototyping Labs, R&D Centers, and Skill Labs.
Supplied Accessories
Sample Battery Modules (Pack) :
- 2S, 3S & 4S Sample Lithium-Ion Battery Packs (Reconditioned & Safe for Demonstration)
- Pre-fitted with Nickel Strips and BMS for educational use.
- Includes connection harness and case for safe handling.
Safety Gears Set (For Operator Protection)
- High-insulation Hand Gloves (1000V Rated)
- Eye Protection Welding Goggles
- Face Shield and Anti-static Apron
- ESD Safe Mat & Wrist Band
- Fireproof Carry Case for Modules
Additional Consumables & Tools
- Set of Nickel Strips (0.2 mm)
- Spare Welding Electrodes (3 pcs)
- Cleaning Brush and Maintenance Kit
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