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:
REMOTE BATTERY MONITOR 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
0 kommentar(er)
