This project intends to design and develop a system that will track the charge of all cells inside a battery. It will
then use this input to estimate where in the charge cycle the cell is and use this to adjust the belief of the cell’s
capacity. The system will then be able to determine how to discharge the entire battery effectively by taking into
account each cell’s capacity.
Objectives of the project are
Create a mathematical model of voltage vs. battery capacity to understand behavior and expected trends
Accurately measure the charge level of each battery cell in a lithium ion battery
Get the battery system to constantly learn and adjust its belief of each cell’s capacity
Use this belief to charge/discharge each cell in accordance with its capacity
Increase the time taken to discharge and improve the overall lifespan of the battery
Quantitatively compare the performance of the new system to an existing system
Undergraduate
The end result of the project will ideally be a fully automated Smart Battery System consisting of the battery pack,
an electrical load, a battery monitor and a controller. This system will be used to monitor the state of charge and
capacity of each battery cell and adjust the discharge cycle accordingly.
The primary application for the Smart Battery System in this project is electric vehicles. However, the same technology can be applied to a vast class of applications such as mobile phones, laptops and any other device with a Lithium Ion battery pack.
· Power electronics for the circuitry of the battery system
· Learning and decision-making algorithms
· The specific application of lithium ion batteries in EVs
· Programming of ARM core ST microcontroller
Lab allocations have not been finalised