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Eagle Eye VIGILANT Battery Monitoring System

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The ground-breaking VIGILANTâ„¢ Battery Monitoring System (BMS) with Advanced Multi-Function (AMF) sensors employs several new battery parameters to predict battery condition.

Eagle Eye VIGILANT 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 VIGILANTâ„¢: string voltage, float current, cell voltage, cell resistance, terminal & connection resistance, cell & ambient temperature, dc ground fault, and electrolyte level.

Web-Based, Remote Battery Monitoring

  • A key advantage of the VIGILANTâ„¢ is how it processes measurement data

  • Rather than simply read and display measured parameters, the VIGILANTâ„¢ 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

Predicting Battery Condition

The VIGILANTâ„¢ 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’sâ„¢ Advanced Multi-Function (AMF) sensors measure true float current without the remanence and temperature problems of Hall-effect transducers

Manufacturer

Eagle Eye

Eagle Eye

See below for documentation relating to this product line that is available to download. To download this documentation, please click on the desired document you’d like to download and fill out the required form information fields. You will be able to view and download the documents upon completion of the download form.

PDF Document
eagleeye_vigilant_data_sheet.pdf
PDF Document
eagleeye_vigilant_web_interface_user_guide.pdf
PDF Document
eagleeye_vigilant_bms.pdf

Certifications & Compliance

Alpine holds ISO 9001 (Quality), 14001 (Environmental), and 45001 (Safety) certifications and complies with ITAR and NIST SP 1800-171 standards. These prestigious designations followed rigorous third-party audits.

Alpine's ISO 9001, 14001, 45001 logo Alpine's ITAR Compliance Logo Alpine's NIST Compliant Logo

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Alpine Power Systems' experienced technical support & sales team are here to assist your needs.