Eagle Eye Power Solutions, LLC

Eagle Eye VIGILANT - Model BMS - Battery Monitoring System

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The ground-breaking VIGILANT® Battery Monitoring System (BMS) with Advanced Multi-Function (AMF) sensors employs several new battery parameters to predict battery condition. Included in these critical parameters are Battery Cell Condition, Battery State of Health, and Battery (at) Risk Factor. These new features are made possible by machine learning algorithms built into the VIGILANT®. The following key battery parameters are monitored and recorded by the VIGILANT®: string voltage, float current, cell voltage, cell resistance, terminal & connection resistance, cell & ambient temperature, dc ground fault, and electrolyte level.

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A key advantage of the VIGILANT® is how it processes measurement data
Rather than simply read and display measured parameters, the VIGILANT® also uses Artificial Intelligence to calculate the state of health (SoH) of the battery
Measurement data and analysis is done via a built-in web-server, which can be accessed with any browser
The web-based software eliminates the need for a standalone software package and is viewable on a desktop or mobile environment

The VIGILANT® utilizes several technologies new to the battery monitoring industry to predict battery failure:

Battery Cell Condition: Using machine learning algorithms to accurately calculate deterioration much earlier than current Ohmic testing methods
Battery State of Health: Algorithms encompassing 12 key parameters to estimate the health of the battery as a whole. It includes measured changes in internal & external factors and in all parameters that could identify a potential reduction in anticipated battery life
Battery Risk Factor (RF): Employing individual cell SoH along with temperature and ripple current to better predict risk of battery failures
True Float Current: VIGILANT’s® Advanced Multi-Function (AMF) sensors measure true float current without the remanence and temperature problems of Hall-effect transducers

Key Features

One-click reporting: Quickly create reports with a single click from the web-interface.
Built in web-interface: Data is recorded and stored on the VIGILANT® monitor, eliminating the need for a 24/7 network connection.
Unobtrusive: System does not affect battery performance in any way.
Battery alarming: Alarm against user-defined battery thresholds, available via Modbus and dry contacts.
Watchdog alarming: Dedicate watchdog circuit will restart the CPU upon hangup with a secondary circuit for alarming.
Fleet management software: Aggregate a fleet of systems in a single interface with a bird’s eye view of systems in alarm.

Measured Parameters

Float voltage
Float, charge, & discharge current
Cell/unit voltage
Cell/unit resistance (mΩ)
Interconnection resistance (μΩ)
Cell/unit temperature
Electrolyte level
Ground fault status
Ripple voltage

Working Voltage: 0.05 – 18.5VDC
Voltage Resolution: ± 1mV
Post Temperature Resolution: ± 1ºC
Cell Resistance Resolution: ± 7μΩ
Strap Resistance Resolution: At 100μΩ strap r: ± 2μΩ
Float Current Resolution: At 100μΩ strap r: ± 1mA
Charge/Discharge Current:

Max 800μΩ strap r: ± 0.1%
Max 400μΩ strap r: ± 0.1%
Range: 2,000A

Electrical Supply (from DC supply): 36 – 72VDC, 90 – 300VDC, 280 – 580VDC
Other Power Options: 24V mains supply
System Internal Power: via comms system
Operating Power (from charger): @ 60 cells: 25W
Operating Temp Range: -4 – 70 ºC (25 – 158ºF)
Isolation I/P to O/P: 1000VDC
Test current @ 2.5V: 20A
Onboard Storage: SSD
Memory Capacity: 20 years of battery data average, expandable for larger systems
Local Data Download: Via USB port
External Protocols: Modbus TCP/IP, DNP3 (in development)
Network Interface: RJ45 Ethernet
Dimensions (L x W x H):

Sensor: 50 x 50 x 25 mm (2 x 2 x 1 in.)
Monitor: 242 x 200 x 65 mm (9.5 x 8 x 2.6 in)