Abstract:
A Battery Health Monitoring System (BHMS) is a technology used to track the health and
performance of batteries, particularly in applications where reliable and consistent power is
critical. The system is designed to collect and analyze data from the battery to determine its
condition, state of charge, and remaining useful life (RUL).
This project aims to develop BHMS including Arduino, ESP8266, and sensors like
voltage, current, and temperature. The system collects real-time data from the battery, analyzes
it using machine learning algorithms, and predicts the remaining useful life (RUL) of the battery.
The system displays the battery's health and RUL on a dashboard using different colors to indicate
the battery's condition. The BHMS provides early warning of potential battery failures, allowing
for proactive maintenance or replacement before a failure occurs. This project is useful in
applications where reliable and consistent power is critical, such as in remote areas, renewable
energy systems, and EVs (electric vehicles). By using a BHMS with a dashboard, one can monitor
the battery's health and RUL in real-time, optimize battery usage, prevent failures, and reduce the
total cost of ownership.
A Battery Health Monitoring System (BHMS) is a sophisticated and intelligent system
that monitors the health and efficiency of batteries. This facilitates the companies and users, and
they can know in advance what state their battery is in and take decisions on these basis.
BHMS will be determining the battery's health based on 7 parameters that are Battery
capacity, Voltage, Current, Temperature, Charging voltage, Charging current, Instant of time.
The value of these parameters shall be measured through sensors and transferred to a program
that uses a deep learning model through which it shall be predicting what is the battery’s SOH
(State of Health) and RUL (Remaining Useful Life in Cycles). These values will then be
displayed on the Blynk IOT cloud dashboard for proper visualization using a Wi-Fi module.