BATTERY BACKUP ESTIMATION AND DEPLETION SENSING SYSTEM
Batteries deplete over overtime when continuously connected to load, their lifespan decreases, and the backup time reduces on the same load as compared to the backup time of the new state. Our project (Battery Backup Estimation and Depletion Sensing System) is to make a device that manages battery (
2025-06-28 16:30:36 - Adil Khan
BATTERY BACKUP ESTIMATION AND DEPLETION SENSING SYSTEM
Project Area of Specialization Electrical/Electronic EngineeringProject SummaryBatteries deplete over overtime when continuously connected to load, their lifespan decreases, and the backup time reduces on the same load as compared to the backup time of the new state. Our project (Battery Backup Estimation and Depletion Sensing System) is to make a device that manages battery (lead acid) in a way so that customers can know
- How much lifespan of their batteries left?
- How long it will work properly
- Show depletion
- Battery present health state
Battery Backup Estimation and Depletion Sensing System (BBEDSS) gives real-time parameters and remaining battery power on the display. It advises the client that the battery isn't working appropriately or going through some technical issues. In specialized terms, we can infer that the battery state of charge is diminishing and because of that State of Health is diminishing as well. The battery's State of-charge, capacity drop, power drop, and instantaneous available power are the boundaries that we should quantify among them Measuring the SOC of the battery is the way to anticipate the battery's health. We utilized the time series forecasting method to quantify the state of charge and furthermore examined other different strategies.
Project ObjectivesThe aim of this FYP is to implement and make a device that is made specifically for detecting and displaying the battery’s health. In addition, if the parameters increase or decrease to the set limits device should notify the user in real-time. There are several objectives that are needed to be done in order to successfully achieve our goal. These are stated below:
- Design an effective System that can distinguish and alert the Client before any damage to the battery.
- To diminish the potential dangers to the health of the battery.
- To set up a strong system that informs the battery's health in real-time as per the load applied.
- To measure the exact state of the charge (SOC).
Battery Backup Estimation and Depletion Sensing System (BBEDSS) for lead-acid batteries are briefly elaborated, that consist of various parameters controls such as the flow of current & Voltage, charging and discharging techniques, state of charge estimation, protection, safety equalization, and temperature control. During the project, three different kinds of batteries will be used to gathered experimental data by applying different combinations of loads. Time Series Forecasting Method is proposed for the accurate estimation of SOC & SOH estimation. Different charging and discharging techniques have investigated and after that, we come to know that by collecting data from battery terminal on runtime and after plotting, with the help of linear regression or extrapolation technique we can estimate battery (SOC) and (SOH). Paper covers the required mathematical background, identification requirements, and solutions for the problems regarding the state-of-charge (SOC) of battery. State of Charge (SOC) of battery is the prominent parameter to predict batteries health in real-time with variable load conditions. However, the state-of-health (SOH) is calculated by the current maximum releasable capacity of the battery. The battery SOC reflects the overall performance and health conditions and this method can be very useful for increasing the battery performance and protecting its life span. The design system is an IOT based System. Resberrypie is used for plotting graphs of different parameters of the battery like the voltage, current, SOC, and DOD. forecasting techniques like Regression and extrapolation will be used for the prediction of the state of charge. Display LCD will be used to notify the user about the health of a battery in real-time. This system gives control methods to accomplish the purpose behind saving energy for the diverse nuclear family and industry use.
Benefits of the ProjectBattery Backup Estimation and Depletion Sensing System assume a significant function in dealing with the battery's health. The lack of fills urges us to move to artificial energy sources. The battery is the most significant and indispensable energy source these days. Electric vehicles are presented, and our gadgets can be introduced in electric vehicles to deal with the health of the battery in vehicles. Battery research is progressing at a quick movement, which is an unmistakable sign that the Super Battery has not yet been found yet may be practically around the bend. While the present batteries fulfill most compact applications, enhancements are required if this force source is to turn into a genuine competitor for the electric vehicle. A Battery
Our project (Battery Backup Estimation and Depletion Sensing System) gives the following benefits to customers that it shows:
- Battery present health state.
- State of Charge (SOC)
- Depth of Discharge (DOD)
- To Demonstrate the Charge Level of The Battery
- State of Health (SOH)
- How much lifespan of their batteries left?
- How long it will work properly
- Show depletion
As the previously available system are based on mathematical models and methods. The method we are using is Simplified Voltage Current Time-series technique for assessment of battery, by which we will be predicting its lifespan for how much time it will be giving backup to the user on applying of a load to the battery system and tell user expected lifespan for which the battery will long last on employing of the same load conditions.
Our system(BBEDSS) will be sensing current & voltage from battery terminals via using a sensor for this purpose with a variation of set time instance and the sensor fetched data set values will be inserted to the microcontroller, the microcontroller will check the sensor sensed values and will insert the values to algorithm developed on the microcontroller which takes V-I-time values and predicts via simplified V-I time series and tell a user about the battery. The algorithm developed and embedded on it the algorithm will be forecasting the values by which will be telling the user about future predicted values (lifespan estimation)
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 78010 | |||
| lead acid battery 12v 35ah | Equipment | 1 | 10560 | 10560 |
| tubular battery(SDCB-208) 12v 35ah | Equipment | 1 | 16000 | 16000 |
| dry battery (sealed) 12 v 35 ah | Equipment | 1 | 10000 | 10000 |
| Current Sensor Acs712 | Equipment | 3 | 450 | 1350 |
| Voltage sensor phidget (p/n 1135) | Equipment | 3 | 600 | 1800 |
| temprature sensor ptc thermistor | Equipment | 3 | 300 | 900 |
| LCD | Equipment | 3 | 800 | 2400 |
| DC load (bulb) | Equipment | 3 | 900 | 2700 |
| DC load (inductive motors) | Equipment | 3 | 1200 | 3600 |
| Smart Battery Charger | Equipment | 2 | 2500 | 5000 |
| microcontroller rasberry pie | Equipment | 1 | 11000 | 11000 |
| Clamp metre | Miscellaneous | 1 | 2200 | 2200 |
| DMM | Miscellaneous | 2 | 2500 | 5000 |
| wires | Miscellaneous | 1 | 1000 | 1000 |
| pcb fabrication and printing | Equipment | 2 | 1500 | 3000 |
| stationary Bread Board safety measurements | Miscellaneous | 1 | 1500 | 1500 |