Balancing is one of the most important function of any battery management system (BMS). We need it to adjust all the batteries in the system for them to work efficiently, based on battery voltage or state-of-charge (SOC). One of the most common and easier ways to achieve cell balancing is by using active or passive cell balancing techniques. Active balancing is when you equalize a battery or a cell with another battery with higher potential. Active balancing is widely implemented method as it is cheap, but it is not as optimum and efficient as compared to the new methods like pulse charging. In this proposed study, we have a dynamic topology for active balancing method that would give us optimized results, with faster balancing and an expandable system for ‘n’ number of batteries or cells. We have reduced the charge and discharge time, removing the delays that many existing systems faces. We achieved it in both simulations and experimental testing. It also, enables in improved charging that does not allow the stack to fail. The use of microcontrollers has proved to reduce the switching time and optimize the results. These switches are precisely controlled hence saving the amount of time needed in charge and discharge cycles. This topology uses an inductor, which is the main component for charge transfer. When charge is transferred from one battery to the other we use inductor as the medium. This inductor basically stores the charge in the first cycle and then dumps it onto the battery in the second cycle. This topology also includes an external charger that keeps charging the stack while equalization takes place. This improves the charging and balancing time for the entire stack. / A Thesis submitted to the Department of Electrical and Computer Engineering in partial fulfillment of the requirements for the degree of Master of Science. / Spring Semester 2019. / April 4, 2019. / Includes bibliographical references. / Pedro L. Moss, Professor Directing Thesis; Mark H. Weatherspoon, Committee Member; Simon Foo, Committee Member.
| Identifer | oai:union.ndltd.org:fsu.edu/oai:fsu.digital.flvc.org:fsu_709828 |
| Contributors | Sonavane, Rohit Ganesh (author), Moss, Pedro L. (Professor Directing Thesis), Weatherspoon, Mark H. (Committee Member), Foo, Simon Y. (Committee Member), Florida State University (degree granting institution), FAMU-FSU College of Engineering (degree granting college), Department of Electrical and Computer Engineering (degree granting departmentdgg) |
| Publisher | Florida State University |
| Source Sets | Florida State University |
| Language | English, English |
| Detected Language | English |
| Type | Text, text, master thesis |
| Format | 1 online resource (75 pages), computer, application/pdf |
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