DEVELOPMENT OF TEST BED FOR BATTERY HEALTH MONITORING AND MANAGEMENT FOR AEROSPACE APPLICATIONS

Our project ?Development of Test bed of battery health monitoring and management for aerospace applications? aims at battery backup estimation and health monitoring at run time .The techniques of data logging, Switching and Future predictions are involved in this project .Firstly we

Project Title

DEVELOPMENT OF TEST BED FOR BATTERY HEALTH MONITORING AND MANAGEMENT FOR AEROSPACE APPLICATIONS

Project Area of Specialization

Electrical/Electronic Engineering

Project Summary

Our project “Development of Test bed of battery health monitoring and management for aerospace applications” aims at battery backup estimation and health monitoring at run time .The techniques of data logging, Switching and Future predictions are involved in this project .Firstly we have to locked the data of one battery and measure its SOC and SOH from its curves which are generated through machine learning approaches .After that we have to take an old battery and take its curve and compare that curve with the curve of new battery .This will tell us about the performance of battery and the percentage error in SOC and SOH of old battery through which we can predict the backup time of that battery. Through current and voltage graphs SOC and SOH of batteries is estimated. We have implemented 3 different algorithms to lock the data at run time in order to predict battery backup time. At last we have implemented switching technique to replace the battery as it got degraded with passage of time without allowing the system to reset.

Project Objectives

Aim of our FYP project is to make a test bed of battery for health monitoring and management purpose. Our main purpose is to estimate real time SOC and SOH of battery and by comparing it with old battery we can measure the backup time. Secondly, we wish to apply the concept of switching of batteries as batteries degrade with passage of time so we have to replace them in run time without allowing the system to get restarted. So, following are the objectives that are needed to be done in order to achieve our goals:

To design an effective test bed that can tell the backup time of battery prior to any loss.

To set up a smarter system that can measure the real time SOC and SOH of old and new battery respectively.

To design a system so that when the battery degrade itself we can replace that battery with a new one effectively without loss of data or without allowing the system to be reset.

Project Implementation Method

The design methodology of our project is explain in detail below:

Firstly, we have to store the pattern of charging and discharging of new and old battery send calculated voltage and current values from it. We have used 12v battery. There are some factors which affects the battery SOC and SOH among them we have considered voltage and current graphs variations with respect to time. The current and voltage sensors were attached to the terminal of battery.

We have designed the voltage regulator which give 5V to the sensor and take 9V to DC power supply. To switch between charging and discharging modes we have used relay. Transistor give signal to relay for switching. Thus we have analyzed the SOC of new and old battery.

We have used 16x4 LCD which display the SOC and SOH of battery with help of voltage and current. The current limiting resistor is also attached to LCD for protection.

Raspberry pi is also there with the help of software serial communication which transfer the data on it. It received the data and then logged in excel file and the algorithm for calculation SOC, SOH and also forecasting program in it.

Benefits of the Project

1. This has a significant role in  more-electric and all-electric aircraft, electric and hybrid road vehicles, and marine propulsion applications. The growth of the electric vehicle market is dependent on driving range, reliability, safety and power management systems.
2. We estimate the backup time of any battery.
3. Real time estimation of SOC and SOH without allowing the system to reset.
4. Our system predicts the SOH by using advance algorithms.

Technical Details of Final Deliverable

Final Deliverable of our project are:

1. Data logging
2. Determining of SOC and SOH
3. Implementation of algorithms
4. Future prediction of battery health.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Others

Other Industries

Core Technology

Others

Other Technologies

Sustainable Development Goals

Affordable and Clean Energy, Industry, Innovation and Infrastructure

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com