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EAGLE EYE PC MONITORING SOFTWARE SOFTWARE

The sensors analyse the cell energy and automatically optimise the test current to maintain a safe level of test. The waveshape and parameters of the change in the terminal voltage are analysed, and from this the Vigilant machine learning algorithms can determine not only the cell and strap resistance, but also the state of health of the cell. How does the Vigilant system test for cell and strap resistance? Is it safe for the cell? Is the discharging of the cell during the test significant?Įach sensor draws a high test current for a very short time from each cell, this results in a very small momentary change in the terminal voltage.

The only power drawn from the cell is a momentary test current, once a day. No power for the sensors comes from the cells. Although each sensor in the Vigilant system is connected to the terminals of a cell, unlike other distributed sensor systems the power for the sensors is supplied from the system manager.

Vigilant is a distributed battery management system, does it have any parasitic effect on the cells?

True Float Current: Vigilant’s Advanced Multi-Function (AMF) sensors measure true float current without the remanence and temperature problems of Hall-effect transducersĬheck out our library of battery monitoring support videos and visit Eagle Eye University for battery training courses.

Battery Risk Factor (RF): Employing individual cell SoH along with temperature and ripple current to better predict risk of battery failures.

It includes measured changes in internal & external factors and in all parameters that could identify a potential reduction in anticipated battery life

Battery State of Health: Algorithms encompassing 12 key parameters to estimate the health of the battery as a whole.

Battery Cell Condition: Using machine learning algorithms to accurately calculate deterioration much earlier than current Ohmic testing methods.

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

EAGLE EYE PC MONITORING SOFTWARE SOFTWARE

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

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.

Vigilant: Next Generation Battery Monitoring System